Forecasting Techniques Jobs in Bengaluru

Finance Associate FalconX Location: Bangalore Experience: 3 5 Years Education: Accounting Graduate + Professional degree (CA/CPA preferred) About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the complex and fragmented digital asset ecosystem. Our platform enables seamless navigation across all digital asset strategies, providing institutional clients with access, liquidity, and trading solutions traditionally found in conventional financial markets. Role Overview We are looking for a Finance Associate to support our accounting and financial operations. You will play a key role in general ledger maintenance, reconciliations, financial reporting, and process improvements, while collaborating with cross-functional teams including Trading, Treasury, Operations, and FP&A. This role is ideal for someone who is detail-oriented, analytical, and passionate about growing within the digital assets industry. Key Responsibilities General Ledger & Accounting Maintain and reconcile general ledger accounts. Prepare and post recurring and standard journal entries with proper documentation. Reconcile balance sheet accounts including cash, prepaid expenses, accruals, intercompany accounts, and crypto wallets. Ensure accuracy of month-end and year-end close processes using tools like FloQast. Financial Reporting & Analysis Run monthly financial reports, trial balances, and compile supporting schedules for balance sheet and income statements. Assist in variance analysis and highlight unusual fluctuations to management. Support budgeting, forecasting, and cost tracking by providing historical data and trends. Payroll, Prepaid, & Accrual Management Reconcile payroll reports and record recurring payroll journal entries. Update and amortize prepaid expense schedules and record accruals for unbilled expenses. Bank & Crypto Reconciliations Perform weekly bank reconciliations for fiat accounts. Ensure crypto wallet balances align with internal records and investigate unmatched transactions. Audit & Compliance Prepare documentation for audits, including account reconciliations and supporting schedules. Support testing, walkthroughs, and respond to auditor inquiries. Maintain internal controls over financial reporting with proper documentation and approval workflows. Collaboration & Process Improvement Partner with Trading, Treasury, Operations, and FP&A to validate data and ensure accurate GL treatment. Drive process improvements to strengthen accounting practices and streamline month-end close. Contribute to dashboards and reporting tools for enhanced financial visibility. Required Qualifications Accounting Graduate + Professional qualification (CA/CPA preferred). 3 5 years of experience in accounting or finance, preferably in a financial institution or fintech startup. Expert knowledge of IFRS and US GAAP standards. Proficiency in Microsoft Suite (Excel, Word, PowerPoint) and Google Suite. Familiarity with NetSuite or other ERP systems. Strong analytical skills with attention to detail and high accuracy. Excellent verbal and written communication skills. Self-motivated, proactive, and capable of working independently. Prior experience in cryptocurrency is a plus but not required. Success in this Role Deliver accurate, real-time financial reporting to strengthen in-house accounting. Execute month-end close with minimal issues and ensure timely GL reconciliations. Flex across finance functions including intercompany, accruals, prepaid, and payroll. Collaborate effectively across teams to ensure optimal financial outcomes. Demonstrate adaptability, multitasking, and a continuous learning mindset in a fast-paced, dynamic environment. Qualification : Accounting Graduate + Professional degree (CA/CPA preferred)

Position: Head of Strategy and Finance Location: Bengaluru Employment Type: Full-Time About Zolve Zolve is a cross-border neo-bank empowering global citizens, migrants, and nomads to access financial products and credit seamlessly across countries. By leveraging home-country credit scores, Zolve provides financial freedom to pursue ambitions without geographical constraints. Our offerings include checking accounts, credit cards, remittances, insurance, and loans. As we expand across geographies, product lines, and customer segments, we are seeking a dynamic Head of Strategy and Finance to shape the company s financial vision and strategic roadmap. Role Overview The Head of Strategic Finance will operate at the intersection of finance, strategy, and operations, ensuring **capital efficiency, profitability, and data-driven growth**. This leadership role partners closely with founders and the executive team to balance immediate execution with long-term strategic initiatives in a fast-growing, global fintech environment. Key Responsibilities Financial Planning & Analysis (FP&A) Lead **budgeting, forecasting, and scenario modeling** to provide actionable insights for business decisions. Monitor **unit economics, ROI, and profitability** in collaboration with product, growth, and business teams. Strategy & Business Leadership Lead strategic projects, including new product evaluations, **cross-border expansion, investments, and potential M&A opportunities**. Provide **data-driven recommendations** to guide operational and strategic initiatives. Investor Relations & Governance Manage relationships with investors and provide clear, **insightful board reporting**. Translate complex financial data into coherent narratives for stakeholders. Team Leadership & Development Build, mentor, and lead a **high-performing finance and strategy team**. Foster a culture of **analytical rigor, ownership, and collaboration** across functions. Compliance & Risk Management Ensure timely statutory, internal, and audit compliance across entities. Maintain operational agility while adhering to regulatory requirements. Qualifications Education: CA / CPA / MBA (preferably from a Tier-1 institute). Experience: **10 15 years post-qualification** in strategic finance, FP&A, or similar roles. Experience in **fintech, cross-border banking, or high-growth startups** is highly desirable. Proven expertise in **financial leadership, strategic planning, capital management, and investor relations**. Hands-on experience with **fundraising, M&A, or cross-border financial operations** is a strong advantage. Skills & Competencies: Strong **analytical, communication, and leadership skills**. Comfortable operating in a **fast-paced, cross-geography environment**. Ability to balance **long-term strategic vision with short-term execution demands**. Qualification : CA / CPA / MBA (preferably from a Tier-1 institute)

Senior Executive - Finance (Controllership) Location: Bengaluru Employment Type: Full-time About Us Exotel is a leading provider of AI-powered transformation solutions, enabling enterprises to optimize customer engagement and experience. With over 20 billion annual conversations across omnichannel, voice, agents, and bots, we serve more than 7,000 clients worldwide, spanning industries such as BFSI, Logistics, Consumer Durables, E-commerce, Healthcare, and Education. Customer expectations are constantly evolving, and businesses are balancing the need for increased revenue, optimized costs, and exceptional customer experience (CX). Exotel steps forward as a transformative partner, offering an AI-powered communication platform to help businesses address all these challenges. About the Role We are looking for a Chartered Accountant (CA) to join our Controllership team, who will be responsible for managing accounting, compliance, reporting, and audit functions. This is an exciting opportunity to gain full-spectrum exposure to controllership within a fast-paced, product-driven environment. Key Responsibilities End-to-End Accounting: Manage accounting processes under Indian GAAP and Ind AS, ensuring financial accuracy and compliance. Month-End Close & Reporting: Handle the month-end close process, perform reconciliations, and provide detailed financial reports. Revenue Recognition: Ensure proper recognition of SaaS subscriptions and usage billing in line with accounting standards. Audit & Compliance: Support audit activities and statutory compliance (e.g., GST, TDS, Companies Act). Process Controls: Maintain internal controls, proper documentation, and process hygiene across various entities. Budgeting & Forecasting: Assist in budgeting, forecasting, and variance analysis to support business decision-making. Efficiency Improvements: Drive process automation and improvements to enhance the overall efficiency within the finance team. Qualifications: CA Inter, B.Com (Hons), or MBA in Finance. Experience: Solid understanding of accounting standards and financial reporting. Hands-on experience with revenue recognition and working in SaaS or product-led environments is a plus. Skills: Strong attention to detail, ownership, and analytical mindset. Proficiency in Excel (advanced level preferred). Familiarity with ERP or accounting tools (e.g., SAP, Tally, QuickBooks) is a plus. Exposure: Gain full-spectrum exposure to controllership in a scaling SaaS company, and develop a deep understanding of financial processes in a high-growth environment. Growth Path: Opportunities to progress into roles in Controllership, FP&A, or Business Finance as you continue to grow with us. Innovation: Join a company at the forefront of AI-powered communication solutions, with a mission to drive transformation in customer engagement. If you are a detail-oriented, analytical professional looking to build your career in controllership and gain exposure to a growing SaaS company, apply now! We are excited to have someone with your expertise join our dynamic team. Qualification : CA Inter, B.Com (Hons), or MBA in Finance

Job Title: Finance Associate Location: Bangalore Department: Finance Employment Type: Full-Time About FalconX At FalconX, we are a pioneering team of operators, investors, and builders committed to transforming institutional access to the cryptocurrency markets. By blending traditional finance with cutting-edge technology, we are solving the industry's most pressing challenges. As the leading solution provider for all digital asset strategies, FalconX empowers clients to navigate the rapidly evolving world of cryptocurrency with confidence, clarity, and ease. Our clients range from large financial institutions to innovative startups, and we are building the connective infrastructure that bridges conventional financial markets and the world of digital assets. What You ll Do As a Finance Associate at FalconX, you will play a critical role in ensuring accurate financial operations and reporting within the organization. You will support the team with key accounting tasks, reconciliations, reporting, and audits while helping streamline processes for optimal financial outcomes. Key Responsibilities Maintain & Reconcile General Ledger Accounts: Prepare and post journal entries with appropriate supporting documentation. Reconcile balance sheet accounts such as cash, prepaid expenses, accruals, and intercompany accounts using NetSuite. Support crypto wallet reconciliations, ensuring that on-chain balances align with internal records. Month-End & Year-End Close: Assist with the timely and accurate month-end and year-end closing processes, including completion of checklist items in FloQast. Prepare monthly schedules and ensure they tie to the general ledger. Identify and correct posting errors during the close process. Prepare Financial Reports: Run monthly financial reports and trial balances from ERP systems (e.g., NetSuite, Oracle). Compile supporting schedules for balance sheets and income statements, assist with variance analysis and provide account-level explanations. Cross-Functional Collaboration: Collaborate with Operations, Platform, and FP&A teams to confirm data accuracy for financial transactions and journal entries. Follow standardized coding rules for vendors, departments, and accounts to ensure consistent reporting. Internal Controls and Compliance: Adhere to internal controls over financial reporting, following established approval and documentation procedures for all journal entries. Support audit and control reviews, assisting with PBC documentation and responding to auditor inquiries. Payroll Reconciliation: Reconcile payroll reports from systems like Rippling to the ERP (NetSuite) GL entries. Record recurring payroll and benefit journal entries and support the team in managing payroll-related liabilities. Prepaid and Accrual Management: Update and amortize prepaid expense schedules using ERP templates. Record standard accrual entries for open invoices or unbilled expenses, ensuring all balances are reconciled. Bank Reconciliation: Conduct weekly reconciliations for fiat bank accounts, investigate unmatched transactions, and coordinate with the Treasury and Opex teams for settlement confirmation. Budgeting and Forecasting Support: Provide historical data and expense trends to support the FP&A team with planning and budgeting. Help track recurring vs. non-recurring items during budget-to-actual reviews and maintain allocation files. Financial Analysis & Reporting: Assist in analyzing monthly account fluctuations and identify significant variances. Build reconciliations and basic dashboards for reporting purposes. Success in the Role Own the general ledger reconciliations to enable smooth and on-time month-end close. Partner with Trading, Treasury, and Operations teams to validate data and ensure proper GL treatment. Demonstrate a passion for working in a fast-paced, dynamic environment with a strong initiative to learn and grow. Maintain high levels of accuracy and attention to detail, ensuring all tasks are executed with precision. Exhibit the ability to multitask efficiently under pressure while meeting deadlines and achieving departmental goals. Required Qualifications Educational Background: Bachelor s degree in Accounting, Finance, or related field. Professional certifications (e.g., Chartered Accountant (CA), CPA) preferred. Experience: 3 5 years of relevant experience in accounting and finance. Experience working in financial institutions or financial services start-ups is preferred. Familiarity with IFRS and US GAAP reporting standards. Technical Skills: Proficiency in Microsoft Excel, Word, and PowerPoint. Familiarity with NetSuite or other ERP systems. Strong analytical skills and the ability to interpret complex financial data. Communication & Interpersonal Skills: Strong verbal and written communication skills, with the ability to present complex concepts clearly and concisely. A collaborative mindset, with the ability to work across multiple teams and interact with stakeholders at various levels. Other Skills: Detail-oriented with a focus on accuracy in financial data management. Ability to work independently with great initiative. Prior experience in cryptocurrency markets is advantageous but not required. Innovative Environment: Join a dynamic team at the intersection of traditional finance and the emerging crypto market. High-Growth Opportunity: Be part of a rapidly scaling organization with access to cutting-edge technology and the evolving landscape of digital assets. Collaborative Culture: Work alongside industry leaders and innovators who share a commitment to making crypto markets accessible and transparent. Competitive Compensation: Enjoy a comprehensive salary and benefits package with opportunities for career growth and development. If you are eager to be a part of an industry-defining company at the forefront of the crypto revolution, we want to hear from you. Join FalconX and help shape the future of digital asset trading and institutional access! Qualif...

Associate Director Finance Location: Bangalore Experience Required: 15 25 Years Qualification: Chartered Accountant (CA) Preferred Certifications: ACCA, CPA, CFA, CIMA Job Summary We are seeking a dynamic and experienced Associate Director Finance to lead our global financial operations. The ideal candidate will bring extensive financial leadership experience, particularly across international geographies, and a deep understanding of both Indian and global financial standards. This strategic role will support the company s growth trajectory by aligning financial management with business objectives while ensuring compliance, efficiency, and performance across all regions. Key Responsibilities Strategic Financial Leadership Develop and execute financial strategies to support global growth and business expansion. Partner with senior management to provide financial insights and recommendations for long-term profitability. Lead financial due diligence and integration in case of mergers, acquisitions, or market entries. Financial Planning & Analysis Drive budgeting, forecasting, and long-term financial planning across multiple geographies. Deliver accurate, timely consolidated financial reporting in compliance with international accounting standards. Monitor key financial metrics, analyze business trends, and identify cost optimization opportunities. Compliance & Risk Management Ensure compliance with tax laws, statutory regulations, and financial reporting requirements across jurisdictions. Liaise with external auditors, tax consultants, legal advisors, and regulatory bodies. Monitor and manage financial risk, currency exposure, and regulatory compliance. Treasury & Cash Flow Management Oversee global cash flow, liquidity management, and banking relationships. Optimize working capital, manage intercompany transactions, and implement transfer pricing strategies. Develop and execute funding strategies, investment policies, and capital allocation plans. Team Leadership & Process Improvement Lead and mentor finance teams across multiple locations to build a high-performance culture. Implement and enhance ERP systems (experience with ZOHO is a plus) and financial reporting tools. Establish scalable internal controls, automation, and process improvements for operational efficiency. Required Skills & Experience Chartered Accountant (CA) with 15 25 years of progressive financial leadership experience. Proven experience managing finance functions across geographies and multi-entity environments. Strong understanding of Indian and international accounting standards, tax regulations, and compliance requirements. Demonstrated success in strategic financial planning, cash flow optimization, and managing global teams. Proficiency in ERP systems (ZOHO preferred), financial modeling, and reporting tools. Excellent leadership, interpersonal, and stakeholder management skills. Preferred Qualifications (Added Advantage) ACCA, CPA, CFA, or CIMA certification. Experience in high-growth, multinational environments. Prior involvement in scaling finance functions for international expansion. Be part of a global organization with ambitious growth plans. Work closely with leadership in shaping financial strategy and operations. Lead transformative initiatives in a dynamic and innovation-driven environment. Competitive compensation and leadership development opportunities. Qualification : Chartered Accountant (CA)

Job Title: Senior Data Business Partner Location: Bengaluru Department: Data & Analytics Experience: Senior-level Company: OSB India (Offshore subsidiary of OSB Group) About OSB India: OSB India (OSBI) is a wholly owned offshore subsidiary of OSB Group, a leading UK financial services provider. Established in 2004, OSBI delivers exceptional customer support and operational services to the Group s UK brands. Known for driving process excellence, innovation, and functional efficiencies, OSBI is a key strategic arm supporting the Group s long-term goals. Role Overview: We are looking for a Senior Data Business Partner to bridge the gap between business and data analytics. In this role, you will collaborate with business leaders to identify analytical needs, design data-driven solutions, and drive adoption of data across the organization. This is a high-impact role requiring strong analytical acumen, stakeholder management skills, and a passion for delivering insights that support strategic decision-making. Key Responsibilities: Build trusted relationships with business stakeholders to understand their data needs and priorities. Collaborate cross-functionally to translate complex business challenges into data solutions. Lead in-depth analysis using market-standard algorithms and modelling techniques. Ensure adherence to Data Governance standards, policies, and controls. Deliver timely, accurate, and well-documented data content and insights. Advise on analytics delivery planning across projects and business functions. Enable self-service analytics by training business users on available tools and platforms. Advocate and implement innovations in AI, Machine Learning, and data analytics. Partner with Data Engineering and Architecture teams, ensuring adherence to technical standards and best practices. Present findings and strategic insights to senior management and governance forums. Mentor team members on analytical approaches and best practices. Promote a culture of continuous improvement, innovation, and high-quality data usage. Champion the use of central data repositories, relational models, and the Data Warehouse to deliver consistent and reliable BI outputs. Identify risks related to data or projects and escalate when necessary. Support internal training efforts to improve data literacy across departments. Ensure compliance with Risk Management and Data Governance policies. Stay current on industry trends, tools, and technologies to enhance analytics capability. Candidate Profile: Qualifications: Bachelor s or Master s degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field. Certifications in data analytics, data science, or relevant tools/platforms are a plus. Experience: 6+ years in a business-facing data analytics role, ideally within financial services or technology. Strong experience in data analysis, modelling, and data storytelling. Proven ability to work with senior business stakeholders and executive teams. Experience in mentoring and leading analytics professionals. Demonstrated expertise in translating business needs into actionable insights. Technical Skills: Proficiency in tools such as Power BI, Tableau, SQL, Python/R, or Excel for data analysis. Familiarity with data warehousing, ETL processes, and relational databases. Understanding of data governance, risk, and compliance frameworks. Exposure to AI/ML applications in business contexts is a strong advantage. Behavioral Competencies: Excellent communication and presentation skills. Strong business acumen with the ability to drive value from data. Strategic thinking with a problem-solving mindset. Collaborative, adaptable, and proactive. At OSBI, we believe in empowering individuals to grow both personally and professionally. Whether you re early in your career or a seasoned expert, we provide an inclusive and supportive environment to help you thrive. Be a part of a connected organization where your contributions make a difference and your career is a journey, not a destination. Qualification : Bachelors or Masters degree in Data Science, Computer Science, Business Analytics, Statistics, or a related field

Position: Data Scientist (AI/ML Expert) Location: Pritech Park SEZ, Block 09, 4th Floor B Wing, Survey No. 51 to 64/4, Outer Ring Road, Bellandur V, Bangalore, Karnataka, India Department: Advanced Analytics Employment Type: Subexian Experience Required: 1 to 3 years Job Overview: We are looking for a talented Data Scientist with expertise in AI/ML to join our Advanced Analytics team. As a key contributor, you ll design, develop, and validate predictive models, recommendation systems, and forecasting solutions, while also collaborating with cross-functional teams to deliver cutting-edge solutions using the latest technologies. Key Responsibilities: Model Development: Design, develop, and validate predictive models, recommendation systems, and forecasting solutions using a mix of statistical, machine learning, and deep learning techniques. You will work both independently and as part of a collaborative team. Data Visualization & Reporting: Communicate actionable insights effectively through compelling dashboards, reports, and visualizations using tools such as Superset, Power BI, and Python libraries (Matplotlib, Seaborn, Plotly). AI & Tech Solutions: Collaborate with teams to design and deliver flexible, scalable solutions using advanced technologies such as AI and large language models (LLMs). API Development: Develop and integrate REST APIs and frameworks such as Flask or FastAPI for seamless deployment of machine learning models. Documentation: Maintain clear, comprehensive documentation for data workflows, model development, and analytical methodologies to ensure knowledge sharing and transparency across teams. Continuous Learning: Stay up-to-date with the latest trends and advancements in data science, algorithms, and technologies, ensuring your skills and knowledge remain cutting-edge. Required Technical Skills: Python Proficiency: Strong experience with Python and libraries like Scikit-learn, TensorFlow/PyTorch, and data visualization libraries (Matplotlib, Seaborn, Plotly). SQL: Solid hands-on experience in SQL for efficient data querying. ML Ops & Pipelines: Understanding of machine learning operations (ML Ops) and ML pipelines for streamlined model deployment. Cloud & Distributed Computing: Exposure to cloud platforms such as AWS, Azure, or GCP and distributed computing tools like Hadoop, Spark, or Pyspark is a plus. Soft Skills: Effective Communication: Strong ability to communicate complex analytical findings in a clear and engaging manner, tailoring insights for both technical and non-technical audiences. Problem-Solving: A proactive problem-solver with the ability to adapt and thrive in a fast-paced, dynamic environment. Continuous Growth: Self-motivated, curious, and always seeking opportunities for professional growth and learning. At Subex, we encourage a collaborative, innovative, and growth-driven work environment. If you're passionate about applying data science techniques to real-world challenges and want to work with cutting-edge AI/ML technologies, we d love to hear from you!

Job Title: Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience: 4 to 6 years About the Role As a Senior Data Scientist, you will leverage your expertise in statistics, machine learning, and data analysis to extract meaningful insights from both structured and unstructured data. Working closely with cross-functional teams, you will develop predictive models, optimize business processes, and contribute significantly to data-driven decision-making across the organization. Key Responsibilities Translate complex business problems into testable hypotheses and proofs of concept, guiding the data science team towards delivery. Apply business acumen to analyze data and extract actionable insights. Communicate complex technical ideas effectively to stakeholders with varying levels of technical expertise. Employ a range of analytical and machine learning techniques to solve business challenges. Conduct research and develop innovative solutions to data analytics problems. Manage data collection, integration, analysis, and presentation across different business contexts. Adhere to and promote best software development practices including version control, peer reviews, and refactoring. Create and maintain thorough documentation of experiments and solutions, following frameworks like CRISP-DM. Stay updated with the latest data science trends, tools, and best practices, sharing knowledge with the team. Conduct peer code reviews and mentor junior data scientists. Drive improvements in data science delivery processes and champion their adoption within the team. Required Skills Technical: Advanced programming skills in Python and SQL. Strong foundation in Probability, Statistics, and hypothesis testing. Expertise in practical machine learning, including common pitfalls and mitigation strategies. Proficient with data visualization tools such as Tableau, PowerBI, and Python libraries (seaborn, matplotlib). Experience with modern development tools and collaborative coding practices. Intermediate cloud technology knowledge with experience deploying data science solutions on cloud platforms. Non-Technical: Pragmatic decision-making balancing solution perfection with business impact and timelines. Project planning and task delegation for data science teams. Ability to present complex insights to non-technical audiences via storyboarding and presentations. Strong written communication skills for technical documentation and paper submissions. Leadership and mentorship capabilities within the data science community. Preferred Skills (Good to Have) Advanced expertise in specialized areas such as Operations Research, NLP, Deep Learning, Time Series Forecasting, Reinforcement Learning, Graph ML, or Explainable AI. Advanced cloud technology knowledge, including application deployment. Ability to decompose business problems into technical subproblems matched with appropriate methodologies. Qualifications Bachelor s degree in Engineering, Technology, or a related technical field. 4 to 6 years of relevant data science experience. Work on impactful, cutting-edge AI and analytics projects with Fortune 500 clients. Collaborate with a passionate team of data scientists and engineers. Grow your technical and leadership skills in a fast-paced, innovation-driven environment. Qualification : Bachelors degree in Engineering, Technology, or a related technical field.

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Job Title: Lead Billing & Planning Location: Bangalore Domain: Railways About Zetwerk Zetwerk is the world s largest custom manufacturing network, transforming digital designs into physical products. We serve a wide spectrum of industries from steel pipes and aircraft engine components to apparel and consumer electronics through thousands of manufacturing partners offering capabilities such as metal fabrication, CNC machining, plastic injection molding, 3D printing, and aluminum die castings. Our technology-driven approach ensures faster production, competitive pricing, and world-class quality with end-to-end transparency. We are redefining manufacturing and need game changers to lead this transformation. At Zetwerk, we offer you a dynamic environment to grow your career, innovate collaboratively, and make a real impact. We invest in our people so they can deliver the best for our customers and for themselves. Roles & Responsibilities Develop detailed plans and schedules for all project deliveries, coordinating multi-disciplinary teams to ensure productivity and progress tracking. Prepare requirement documents, meeting minutes, and management presentations; conduct regular target appraisals. Create variance reports, including Schedule Variance and Cost Variance using Earned Value Management (EVM), to analyze project deviations. Monitor critical path activities in project schedules and advise project management on potential risks and mitigation. Ensure timely and accurate billing with complete supporting documentation. Prepare and submit monthly sales and collection plans. Maintain cost compliance within budget and strive to improve profit margins. Job Requirements Minimum 5 years of hands-on experience in project planning, scheduling, budgeting, and cost control. Proficiency in project management software tools such as Primavera P6 and Microsoft Project. Educational Qualification: B.E./B.Tech or Diploma in Civil Engineering. Strong knowledge of project tracking and control techniques, particularly Earned Value Management (EVM). Excellent organizational, analytical, and problem-solving skills. Effective communication and coordination abilities to collaborate across cross-functional teams. Qualification : B.E./B.Tech or Diploma in Civil Engineering.

Financial Data Analyst Location: Bengaluru, India Employment Type: Full-time Department: Global Operations About Commure Commure develops AI-driven healthcare technology that reduces administrative burden for providers, enabling more patient-centered care. Our solutions cover clinical documentation, revenue cycle management, patient engagement, and more serving over 250,000 clinicians nationwide and rapidly scaling. Role Overview We are seeking a Financial Data Analyst to ensure the accuracy and integrity of revenue transaction data ingested from various Electronic Health Record (EHR) systems into our financial databases. This role combines quality assurance, data analysis, and a solid grasp of healthcare revenue cycles and compliance. Key Responsibilities Data Verification: Validate revenue transactions from EHR systems against ingested data. Quality Assurance: Develop and execute test plans, document discrepancies, and track defects in data ingestion processes. Mathematical Analysis: Use mathematical techniques to confirm financial data accuracy and integrity. Process Improvement: Collaborate with development teams to enhance data ingestion workflows and QA methods. Documentation: Maintain thorough records of QA tests, data mappings, and findings; prepare reports for stakeholders. Cross-Functional Collaboration: Work with IT, finance, and operations teams to ensure consistent data quality. Compliance: Adhere to HIPAA and other relevant regulatory standards, staying current with best practices in healthcare data handling. Qualifications Bachelor s degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field. Minimum 3 years of experience in quality assurance or data analysis. Familiarity with healthcare revenue cycles and compliance standards. Advanced Microsoft Excel skills (VLOOKUP, pivot tables, macros), with experience in automation and data modeling preferred. Experience with data visualization tools such as Tableau or Power BI. Strong statistical, mathematical, and analytical abilities. Proficient in SQL and comfortable working with large datasets. Experience with automated QA/testing frameworks and methodologies. Clear communicator able to convey complex data insights to varied stakeholders. Willingness to work night shifts aligned with US time zones (EST to PST). Mission-Driven: Make a tangible impact by transforming healthcare through technology. Strong Investor Support: Backed by leading investors like General Catalyst, Sequoia, and Y Combinator. Rapid Growth: Both companies have achieved 500%+ YoY growth, with ongoing Series D funding. Comprehensive Benefits: Flexible PTO, health coverage, parental leave (subject to location). Qualification : Bachelors degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field.

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Pipeline and GTM Senior Data Analyst Location: Bangalore, India About the Role Rubrik s Pipeline & GTM Strategy and Analytics team seeks a Senior Pipeline and GTM Data Analyst to ensure high-quality data for pipeline development, measurement, and operational efficiency. Reporting to the Senior Manager of Pipeline & GTM Strategy and Analytics, you will play a key role in pipeline analytics, dashboard creation, and providing operational support for the Sales Development Representative (SDR) team. Your analytical expertise will empower data-driven decisions to accelerate growth. Key Responsibilities SDR Operations Support: Support territory and quota planning to grow the Inside Sales organization and drive revenue. Analyze strategic funnel metrics and measure sales performance. Administer and optimize sales tools like Salesforce (SFDC), Outreach, ZoomInfo, LinkedIn Sales Navigator, and more. Enhance lead routing and customer-facing messaging processes. Collaborate with Sales, Marketing, and IT teams to improve lead qualification and pipeline growth. Use data-driven insights to improve Inside Sales functions, incorporating input from cross-functional teams such as Marketing and Finance. Analytics & Reporting: Build, prepare, and analyze reports to support pipeline analytics and special projects that drive pipeline growth (PG) attainment. Create and maintain real-time dashboards for actionable insights. Validate and ensure data quality for SDR and pipeline dashboards. Continuous Improvement & Innovation: Enhance data management processes for improved efficiency and accuracy. Stay current with industry best practices in data analytics and management. Implement new tools and techniques for better data preparation and validation. Cross-Functional Collaboration: Facilitate smooth communication between SDR Operations and Analytics teams. Provide accurate, timely data to all relevant teams for informed decision-making. Participate in team meetings, offering data-driven recommendations. Required Skills and Experience 5+ years in Sales Operations, Strategy, or a related analytical role. Bachelor s degree or equivalent practical experience. Strong communication skills (written and oral). Self-starter with the ability to work independently and collaborate across all business levels. Salesforce (SFDC) administration experience. Advanced proficiency in Microsoft Excel or Google Sheets, including complex modeling and robust analysis. Experience with Microsoft Office suite (Word, Excel, PowerPoint, Outlook). Skilled in data visualization tools such as Tableau, PowerBI, or similar. Comfortable managing and analyzing large datasets. Preferred: Experience with SQL and/or Python for data querying and automation. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations build resilience against cyberattacks, insider threats, and operational disruptions. Our AI-powered Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications, ensuring integrity, availability, and rapid business recovery.

Job Title: Data Science Manager Location: Bengaluru, Karnataka, India Department: Data Science Experience: 6 8 Years Employment Type: Full-Time About CloudSEK CloudSEK is one of India s most trusted cybersecurity product companies, building world-class AI-driven platforms to detect and resolve digital threats in real-time. Our suite of products XVigil, BeVigil, and SVigil serve Fortune 500s and government bodies across the globe. Headquartered in Singapore and expanding rapidly across Asia, India, and the Americas, CloudSEK s mission is to create a safer digital ecosystem through contextual threat intelligence and proactive security. Role Overview: Data Science Manager (Marketing Mix Modeling) We are looking for a highly analytical Data Science Manager with specialized experience in Marketing Mix Modeling (MMM) to lead data-driven strategic initiatives. You will be responsible for delivering predictive models that evaluate the impact of marketing investments and optimizing ROI. The role involves direct engagement with cross-functional teams, including marketing, finance, and strategy, to influence key business decisions. Key Responsibilities Project Management & Delivery: Collaborate with Engagement Managers, Account Delivery Managers, and client stakeholders to define and refine business requirements. Develop detailed project plans that align with business goals and delivery timelines. Lead end-to-end execution of MMM projects, monitoring milestones, scope, and quality. Host internal scrum meetings and external Weekly Business Reviews (WBRs) with clients. Ensure all deliverables codes, dashboards, presentations meet quality standards and timelines. Report on delivery scorecard metrics and implement corrective action plans to improve performance. Data Science & Modeling: Design and develop Marketing Mix Models (MMM) to assess the effectiveness of marketing channels. Apply advanced techniques in predictive modeling, machine learning, and linear regression. Interpret model outputs to guide media planning, budget allocation, and strategic forecasting. Stay up-to-date with evolving methodologies and tools in data science and ML. Team Leadership & Coaching: Assign tasks based on team members strengths and monitor performance. Provide both business and technical mentorship, guiding team members through challenges. Build a high-performance, collaborative, and innovative delivery environment. Encourage experimentation and ownership within the team. Required Skills & Qualifications Technical Skills (Must-Have): Expertise in Marketing Mix Modeling (MMM) and predictive analytics. Advanced proficiency in machine learning, statistics, and data interpretation. Working knowledge of Python and SQL for data manipulation and model development. Intermediate experience with project management tools and methodologies (Agile/Scrum). Familiarity with MS Excel, PowerPoint, and data visualization tools. Soft Skills: Strong business acumen with the ability to translate insights into financial and strategic impact. Excellent communication skills for interacting with mid-level to senior stakeholders. Strong leadership and interpersonal skills: coaching, conflict resolution, and negotiation. Ability to balance perfection and pragmatism when delivering real-world solutions. Preferred Educational Background: Bachelor s degree in Engineering, Statistics, Mathematics, Computer Science, or a related technical field. Candidates with non-technical degrees must demonstrate strong technical aptitude through prior work experience. Impactful Work: Build models that influence multi-million-dollar marketing decisions. Collaborative Culture: Work alongside a high-energy, motivated, and diverse team. Growth Opportunities: Drive meaningful outcomes with room to experiment and lead. Work-Life Balance: Enjoy flexible working hours, a relaxed work environment, and plenty of snacks! Location: Work out of our energetic and innovation-driven Bengaluru office.

Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.

Machine Learning Engineer Full-Time - Bengaluru, India - Data Science / Artificial Intelligence / Engineering Join our dynamic Data Science / Artificial Intelligence / Engineering team in Bengaluru, India as a Full-Time Machine Learning Engineer and play a key role in driving data-driven innovation! We are seeking a skilled and results-oriented Machine Learning Engineer to design, build, and deploy scalable machine learning models that address real-world business challenges. You will collaborate closely with data scientists, engineers, and product managers to transform raw data into actionable insights and integrate intelligent features into our products. As a Machine Learning Engineer, you will be responsible for the complete lifecycle of machine learning models and pipelines, from design and development to seamless deployment for a variety of applications. This includes classification, regression, clustering, recommendation systems, and time-series forecasting. You will leverage your expertise to preprocess and analyze large and complex datasets, extracting meaningful features and valuable insights. Collaboration with cross-functional teams will be crucial as you identify strategic ML opportunities and define clear success metrics. A key aspect of this role involves optimizing machine learning models for peak performance, scalability, and accuracy within production environments. You will build robust APIs or efficient microservices to integrate these models seamlessly into our applications, utilizing tools such as Flask or FastAPI. Continuous improvement is paramount, and you will be responsible for the ongoing monitoring and retraining of models based on their performance and any signs of data drift. Staying at the forefront of the field is essential, and you will be expected to stay updated with the latest ML research and emerging technologies, applying them to continuously enhance our product capabilities. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines for diverse applications including classification, regression, clustering, recommendation, and time-series forecasting. Preprocess and analyze large datasets to extract meaningful features and actionable insights. Collaborate effectively with cross-functional teams to identify strategic ML opportunities and define clear success metrics. Optimize models for maximum performance, scalability, and accuracy in production environments. Build robust APIs or efficient microservices to integrate ML models into applications using tools like Flask or FastAPI. Continuously monitor and retrain models based on performance metrics and potential data drift. Stay updated with the latest ML research and technologies and apply them to enhance product capabilities. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. 2+ years of proven experience as a Machine Learning Engineer or in a similar role. Strong proficiency in Python and key ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch. Practical experience working with both SQL and NoSQL databases. Solid knowledge of essential data preprocessing, effective feature engineering, and robust model evaluation techniques. Familiarity with standard software engineering practices, including version control (Git), thorough code reviews, and efficient CI/CD pipelines. Preferred Qualifications: Prior experience with deep learning, natural language processing (NLP), or computer vision. Familiarity with major cloud services like AWS, GCP, or Azure (especially SageMaker, Vertex AI, etc.). Understanding of modern MLOps tools and practices (e.g., MLflow, Kubeflow, DVC). Practical experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of big data tools (e.g., Spark, Hadoop) is considered a significant plus. What We Offer: Competitive salary and performance-based incentives to reward your contributions. Comprehensive health insurance and valuable wellness benefits to support your well-being. Dedicated learning and development programs for continuous professional growth. Exciting opportunities to work on impactful, real-world AI/ML projects with significant scale. A collaborative, inclusive, and innovative work culture that fosters teamwork and creativity. Flexible working hours and a hybrid work model to promote a healthy work-life balance.

Job Title: IT Software Sales Hunter Location: Rajkot, Gujarat, India Key Responsibilities: Lead Generation & Prospecting: Act as a sales hunter to identify, qualify, and generate new leads. Develop a strong pipeline of prospective clients through networking, cold calling, and other innovative lead generation techniques. Collaborate with marketing teams to leverage campaigns and events for lead generation. Sales Execution: Conduct client meetings and presentations to showcase software solutions. Understand customer requirements and propose tailored software solutions. Develop and deliver compelling proposals, demonstrations, and proof of concepts. Negotiate terms, close deals, and achieve or exceed sales targets. Market Knowledge & Research: Stay updated with industry trends and competitors to strategically position the company's offerings. Focus on specific industries like SaaS, ERP, and CRM sales to identify opportunities for market expansion. Client Relationship Management: Build and nurture long-term relationships with clients, ensuring satisfaction and repeat business. Serve as a point of contact between clients and technical teams to ensure smooth project implementation. Collaboration: Work closely with internal teams, including product, technical, and customer success, to ensure seamless delivery of solutions. Provide customer feedback to the product development team for continuous improvement. Qualifications: Experience: Minimum of 3 years in IT software solution sales with a proven track record of achieving and exceeding targets. Preferred experience in industries such as SaaS, ERP, or CRM sales. Skills: Strong sales acumen and a hunter mindset. Excellent communication, presentation, and negotiation skills. Ability to quickly understand and articulate technical concepts to non-technical audiences. Proficiency in CRM tools and sales analytics platforms. Certifications: Preferred certifications include Salesforce Certified Sales Professional, HubSpot Sales Software Certification, or other relevant IT sales credentials. Education: Bachelor s degree in Computer Science, IT, Business Administration, or a related field. Qualification : Bachelors degree in Computer Science, IT, Business Administration, or a related field.

Job Title: Market Intelligence Manager Mode of Work: Work from Office Qualification: A Bachelor s/ Master s degree in marketing Experience: 03-10 years Location: Bangalore Department: Business About the Role: We are looking for a friendly and detail-oriented Market Research professional to join our dynamic team in the Information Technology and Services industry. In this pivotal role, you will have the opportunity to dive deep into market trends, customer behaviours, and competitive landscapes. Your findings will play a significant role in shaping our strategic decisions involving market expansions and guiding our innovations. You ll collaborate with cross-functional teams, bringing your analytical skills to the table to provide actionable recommendations that help us stay ahead in the ever-evolving tech landscape. We re not just looking for someone who can crunch numbers; we want a curious mind ready to explore and analyse data, turning it into compelling stories that resonate with our stakeholders. If you re someone who thrives on data-driven decision-making and loves the challenge of transforming raw information into strategic insights, we want to hear from you! Join us in making a difference in the tech industry and helping steer our company toward a more informed future! Skills and Requirements: Educational Background: A Bachelor s/ Master s degree in marketing, business, statistics, or a related field; a master s degree may be preferred. Work Experience: 3 10 years of experience in solid Market research. Analytical Skills: Strong analytical and critical thinking skills to interpret complex data. Technical Proficiency: Familiarity with statistical software (e.g., SPSS, SAS) and data visualization tools (e.g., Tableau) Not Mandatory. Communication Skills: Excellent written and verbal communication skills to present findings clearly. Attention to Detail: Strong attention to detail to ensure accuracy in data collection and analysis. Proven experience in market research and market data analysis, preferably in the IT sector. Ability to thrive in a fast-paced, high-pressure environment while managing multiple priorities. Strong problem-solving skills and a proactive mindset. Data Collection: Gather data through surveys, interviews, focus groups, and other methods to understand consumer preferences and market trends to provide valuable insights. Data Analysis: Analyse data using statistical software and tools to identify patterns, trends, and insights. Analyse and interpret data to inform product development and marketing strategies. Report Preparation: Prepare detailed reports and presentations that summarize research findings and provide actionable recommendations and effectively communicate research findings to stakeholders. Market Trends Monitoring: Keep track of market trends, competitor activities, and industry developments to inform strategic decisions. Monitor competitor activity and industry developments to provide strategic recommendations. Collaboration: Work with marketing, sales, and product development teams to align research findings with business strategies. Consumer Behaviour Study: Study consumer behaviour and preferences to help develop marketing strategies and product offerings. Market Research: Conduct comprehensive market research to identify trends, opportunities, and threats in the IT and services sector pertaining to the domains addressed by PIXEL. Stay up-to-date with emerging technologies and trends relevant to the industry. Utilize data analytics to monitor performance and provide actionable insights. Collaborate with leadership to align business market intelligence initiatives with organizational goals. Work closely with the various Sales, Marketing and Partnership managers to collaborate on global domain, partnership and account intelligence. Keep a track of action items post specific market intelligence findings with specific teams. Deliver pointed and specific research and market intelligence within specific timelines. Analyse, report and utilise market intelligence tools and use AI effectively to generate very specific information. Use information gathered to advise Sales / Partnership teams on next discovery steps. This job might be for you if: You enjoy solving problems. You love taking on difficult challenges and finding creative solutions. You don t get flustered easily. If you don t know the answer, you ll dig until you find it. You pay attention to the details. As far as you re concerned, anything worth doing is worth doing right, every single time. You stay focused, and nothing falls through the cracks on your watch. You think on your feet. You like learning new things, and you can learn quickly. When things change, you know how to roll with the punches. You communicate clearly. You write well, you speak eloquently and you can explain just about anything to anyone. You are motivated and driven. You are ready for new challenges without waiting to be asked. You re going to take ownership of the time you spend with us and truly make a difference. Qualification : A Bachelors/ Masters degree in marketing, business, statistics, or a related field; a masters degree may be preferred.

Job Description: Primary Market Research Senior Consultant Join a global organization with 82000+ employees around the world, as a Primary Market Research Senior Consultant based in Bangalore/ Gurugram/ Pune which helps life sciences companies to accelerate innovation to make greater impact on human health. Our transformative technologies harness intelligence, integrate industry-leading data and analytics. About the team The role is within the Research & Intelligence Team (R&I), whose aim is to deliver market research solutions, comprising mainly of PMR (Primary Market Research) along with inputs from SDR (Secondary Desk Research) to generate relevant insights for clients. Our team: Effectively combines different sources of data and using leading edge PMR techniques and capabilities to generate research, which is actionable, going beyond insight generation to show how to understand and influence prescriber and patient behavior. Role Summary Experience in market research: 7-10 years Manage multiple PMR projects under tight timelines interfacing with global clientele and prioritize requests based on the criticality and business need as agreed with the stakeholders. Responsibilities: Manage multiple PMR (qual and quant) projects under tight timelines interfacing with global clientele and prioritize requests based on the criticality and business need as agreed with the stakeholders. Write questionnaires and discussion guides for diverse stakeholders like physicians, patients, caregivers, payers etc. Create custom market research solutions for clients by thinking through their business issue, and adding the right context to the request (therapy area, methodology etc.). Deliver in depth, comprehensive, regular PMR reports and support ad hoc queries in the areas of indication-based pipeline landscapes, competitor company/ asset profile, competitor launch timelines and key event timelines, newsletters etc. Analyze secondary data sources and reports to provide information on overall market landscapes, market sizing and a range of ad hoc business questions. These analyses may include reporting of the competitive and scientific landscape both in terms of the current position and the predicted future state. Responsible for continuous process improvement in developing content for various PMR deliverables across indications/therapy areas. Demonstrate excellence as an individual contributor with minimal support from peers/team lead, together with the ability to mentor a team of analysts/ACs, driving high productivity/ efficiency, and creating appropriate performance reviews and capability development plan. Quality control and overview and to ensure deliverables are client ready. Project types: Market assessment and sizing, pipeline assessments, patient/consumer journey, brand tracking, go-to-market strategy. What we re looking for: Relevant experience of 7-10 years with master s degree (M.Pharm/MSc in Pharmacy, Biotechnology, life sciences). Exceptional communication skills both at the written and oral level. Excellent knowledge of English and of the main Microsoft Office tools (Word, Excel, PowerPoint). High skills of interpretation and analysis (quantitative, qualitative and integration of different sources of data assets) - This would include thinking through the client business issue, adding the right context to the request (therapy area, business issue etc.) and developing a tailored, innovative solution to address the clients business objectives. The preferred candidate will be creative, client/objective focused, open minded, autonomous and at the same time have great team spirit. Should be aware of free to use online resources like WHO, USFDA, CDC, CMS, PubMed, UNSD, Eurostats, NORD, FDA warning letters, etc.

Inside Sales - Bangalore Location: Bangalore Role: Inside Sales Experience: 1 - 4 years Number of Positions: 2 Qualifications: MBA Job Description: Job Purpose: The purpose of this role is to maximize lead generation and progression of leads through the sales funnel, ultimately increasing revenue potential from marketing-driven and outbound programs. This role will require close collaboration with broader teams like demand generation marketing & pre-sales teams, and also sales colleagues in the field to support developing qualified opportunities and meeting monthly and quarterly targets. Responsibilities and Accountabilities: Experience with Software Product Selling or Solution Selling or Concept Selling. Engagement with business accounts focused on developing opportunities in the assigned geography. Experience managing the breadth of business development activities Research, Prospecting, Outreach, and effectively engaging with prospects. Utilize telephone and other tools to remotely influence customers at senior levels in target organizations. Follow-up on highly targeted marketing campaigns to deliver incremental High-Quality Leads and manage leads through to interested/potential opportunity status and ensure conversion to qualified status. Work with appropriate regional marketing managers and regional sales teams to plan and execute outbound demand generation activity as required. Ensure all activity is appropriately captured and tracked within the CRM and ensure that all prospect information is maintained and is up-to-date. Consistently follow designated sales and marketing processes to ensure robust lead and operational measurement and reporting. Work with regional marketing management to ensure integrity, validity, and appropriateness of the contact database. Develop and maintain strong knowledge of leading Digital Eco-Systems by reading industry and country-specific press and appropriate industry websites. Maintain a consistently high call rate aimed at achieving monthly and quarterly meeting and opportunity targets. Responsible and accountable for creating a healthy pipeline. Utilize social selling techniques using Social Media Platforms like LinkedIn, Twitter, Facebook, and Instagram, etc. Must be a go-getter who s willing to make the effort to get things done. Skills and Qualifications: MBA / University degree would be advantageous. Marketing or related fields preferred, but not mandatory. University graduates are welcome to apply. 1-2 years of tech industry experience preferred. Highly motivated and result-oriented with a can-do entrepreneurial spirit. High energy and determination to achieve/exceed monthly/quarterly targets. Proven communication & influencing skills using written and verbal communication, including telephone. Strong Presentation, communication, organization, multitasking, and time management skills. Qualification : MBA / University degree would be advantageous.