Business Modelling Jobs in Pune

Job Title: Database Administrator Location: Pune About Anchanto At Anchanto, we are enabling simpler, faster, and scalable eCommerce operations through our innovative and intelligent SaaS platforms. Our mission is to transform the way businesses conduct eCommerce, making backend operations more efficient for companies of all sizes. With a headquarters in Singapore, a global product engineering center in Pune, India, and a strong local presence in the countries we serve, Anchanto continues to grow rapidly, serving over 300 customers worldwide. As part of our expanding engineering team, we are seeking an experienced Database Administrator (DBA) to help us manage, optimize, and scale our database infrastructure. If you re passionate about database solutions and eager to work with cutting-edge technology in a fast-growing product company, we want to hear from you! Role Overview As a Database Administrator, you will be responsible for developing, managing, and optimizing database solutions to support our growing eCommerce platforms. Your expertise will ensure the high performance, availability, and security of our databases, including MySQL, Postgres, and potentially NoSQL databases. You will work closely with development teams to understand their needs and provide optimal database solutions, from design to performance tuning and high-availability configurations. Key Responsibilities Develop and design database solutions: Define the database physical structure and functional capabilities, ensuring they align with system requirements and security protocols. Database performance management: Configure and manage AWS RDS services, monitor database health, troubleshoot issues, and take corrective action as needed. Troubleshoot and resolve database issues: Act quickly to resolve database outages, errors, or performance issues, including providing after-hours and weekend support when necessary. Proactively monitor DB performance: Set up and configure monitoring tools to help detect potential risks and performance bottlenecks before they impact operations. Optimize database performance: Recommend and implement strategies for hardware upgrades, query optimization, indexing improvements, and server configuration adjustments to boost performance. Collaborate with development teams: Work closely with engineers to understand their database needs and design the most efficient and scalable database solutions. Ensure high availability and disaster recovery: Configure databases for high availability, clustering, and cloud deployment to maintain uptime and data redundancy. Administer database best practices: Own the database backup, restore, and retrieval processes, ensuring that all procedures adhere to best practices and compliance standards. Learning and adopting new technologies: Stay up to date with database technologies, including MySQL, Postgres, and NoSQL databases, and apply knowledge to improve solutions across the platform. What You ll Bring At least 5 years of hands-on experience as a DBA, with strong expertise in database administration, including backup management, performance monitoring, and tuning. Experience with MySQL and/or Postgres: Strong command over these relational databases, including managing stored procedures, triggers, indexes, and optimizing SQL queries for performance. AWS RDS experience: Proficiency in configuring and managing AWS RDS services, with an understanding of cloud-based database management. Strong knowledge of database design: Excellent understanding of data modeling and database schema design, with hands-on expertise in optimizing DB architecture for scalability and performance. Proven expertise in database tuning and performance optimization: Demonstrated ability to troubleshoot and optimize database performance for high-volume transactional systems. Experience with NoSQL databases: Exposure to NoSQL technologies such as MongoDB or Cassandra is a plus, as you may be involved in integrating such systems in the future. Bonus: Experience with Data Warehouse or BI (Business Intelligence) systems is a plus. Bonus: Prior experience in building high-performance e-commerce software is highly desirable. Strong communication and collaboration skills: Ability to work cross-functionally with development, DevOps, and other teams to ensure database solutions meet the needs of the business. Innovative & Fast-Growing Company: Join a dynamic, fast-growing SaaS company that is revolutionizing eCommerce operations for businesses worldwide. Cutting-Edge Technology: Work with modern database technologies, cloud platforms, and AI-powered solutions in an agile and collaborative environment. Career Growth: At Anchanto, we prioritize learning and development, offering a strong career path for those passionate about technology and growth. Work-Life Balance: We believe in a healthy work-life balance and offer flexible working hours and a supportive environment. Global Impact: Your work will impact hundreds of businesses globally, enhancing the performance and efficiency of their eCommerce platforms. If you're an experienced DBA looking for an exciting new challenge with a fast-growing product company, Anchanto could be the perfect place for you. Apply now to join our team and contribute to the next generation of eCommerce technology!

Team Lead Account Management Location: Pune Experience: 3+ years Employment Type: Full-Time About Amura Amura Marketing Technologies is a next-generation MarTech company, delivering end-to-end marketing and sales solutions to leading brands across India. Guided by the philosophy of Marketing Engineered , we blend creativity, data, and technology to craft innovative marketing strategies that drive measurable results. Role Overview We are looking for a dynamic and experienced Team Lead Account Management to lead client strategy, execution, and servicing across multiple digital projects. This role involves managing a team of account managers, driving campaign performance, and ensuring seamless coordination between internal teams and clients. You'll be responsible for delivering marketing strategies that align with client goals and deliver measurable impact. Key Responsibilities 1. Marketing Strategy & Execution Develop and implement comprehensive, data-driven marketing strategies tailored to client objectives. Ensure strategies are aligned with industry best practices and designed to drive measurable engagement and conversions. Lead full-funnel strategy development across awareness, consideration, and conversion stages. 2. Team & Project Management Manage, mentor, and guide a team of junior account managers. Allocate tasks effectively to ensure timely, high-quality project delivery. Collaborate cross-functionally with creative, content, media, and tech teams to execute campaigns efficiently. 3. Client Engagement & Servicing Act as the primary point of contact for clients, ensuring proactive communication, updates, and relationship management. Understand client briefs in depth and translate them into actionable strategies. Maintain high client satisfaction through consistent service quality and strategic value. 4. Campaign Management Oversee the execution of campaigns across multiple digital platforms. Monitor performance, troubleshoot issues, and optimize in real-time to maximize ROI. Report campaign results with insights and next steps for growth. 5. Digital Platforms & Tools Proficient in platforms such as: Google Ads & Google Analytics Meta (Facebook) Business Manager Demand-Side Platforms (DSPs) and programmatic advertising tools Ability to leverage analytics tools to inform campaign performance and optimization. Must-Have Skills Strong command of full-funnel marketing strategies and their implementation. Proven expertise in performance marketing, including ROI optimization and attribution modeling. Ability to conceptualize and execute impactful marketing campaigns. Experience translating strategy into operational execution with a focus on timelines and outcomes. Strong communication and leadership skills with the ability to liaise between clients and cross-functional teams. Desired Qualifications & Experience Minimum 3 years of experience in digital marketing and account management, preferably in an agency setting. Prior experience in client strategy, servicing, and project management. Hands-on experience managing a team of 6 or more people. Ability to manage multiple projects simultaneously in a fast-paced environment. Strong analytical mindset with the ability to turn data insights into actionable strategies. Excellent interpersonal and decision-making skills with a high degree of ownership. Who You Are You thrive in a fast-paced, high-growth environment. You re a strategic thinker with attention to detail and a drive for results. You take ownership, stay proactive, and are relentless in project execution. You re a natural leader, a strong communicator, and a team player. You enjoy solving problems, learning new tools, and contributing to a dynamic work culture. Apply now and join Amura in shaping the future of marketing.

Technical Lead Software Engineering Location: Pune Employment Type: Full-Time About Calfus At Calfus, we build cutting-edge AI agents and enterprise software solutions that revolutionize how businesses operate. From cloud-based ERP integrations to AI-powered systems, we help startups and enterprises unlock their true potential. Our global team is made up of passionate, driven professionals who thrive on innovation and collaboration. As one of the fastest-growing players in the AI and software engineering space, we offer an exciting, high-energy work environment where your ideas are always welcome. About the Role We are looking for a Technical Lead Software Engineering (System Architecture & Design) to lead the design, development, and support of critical enterprise applications for manufacturing, shipping, and logistics. You ll play a hands-on leadership role, guiding development efforts, solving complex problems, and mentoring a team of engineers. Key Responsibilities System Architecture & Support: Manage and enhance enterprise applications used in manufacturing, shipping, and receiving. Development & Enhancements: Design, develop, test, and deploy scalable new features using Microsoft technologies. Issue Resolution: Troubleshoot and resolve complex system issues, ensuring high availability and reliability. Cross-Functional Collaboration: Work closely with internal teams to understand business needs and translate them into technical solutions. Performance Optimization: Ensure applications are performant, scalable, and secure. Documentation: Maintain accurate technical documentation, workflows, and design specs. End-User Training & Support: Provide user support and training to ensure effective adoption of new features. Mentorship: Guide junior engineers on best practices in architecture, development, and problem-solving. What You ll Need on Day One Bachelor s degree in Computer Science, IT, or related field. 5+ years of hands-on experience in software development and application support. Strong command of Microsoft technologies, especially VB.Net or C#. Proficient in SQL Server including writing complex queries, stored procedures, and data modeling. Excellent analytical and problem-solving skills. Strong communication and team collaboration abilities. Bonus Points If You Have Experience with VB (Visual Basic). Familiarity with SSIS and Entity Framework. Experience developing applications interfacing with PLC frameworks or industrial equipment. Knowledge of Jira and Confluence for agile workflows and documentation. Employee Benefits Comprehensive medical, group, and parental insurance. Gratuity and Provident Fund contributions. Wellness support and birthday leave. A culture of innovation, speed, and collaboration. Diversity & Inclusion At Calfus, we are proud to be an Equal Opportunity Employer. We value diversity and are committed to building an inclusive environment where everyone, regardless of background or identity, can thrive. Apply now and join our team in transforming businesses through technology. Qualification : Bachelors degree in Computer Science, IT, or related field

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Business Analyst / Senior Business Analyst Location: Pune Experience: 3 7 years Education: BE / ME / M.Sc / MCA Job Type: Full-Time Job Overview We are looking for an experienced Business Analyst or Senior Business Analyst to join our Client Solutions team. The ideal candidate will be responsible for evaluating business processes, identifying areas for improvement, and designing solutions that align with business needs. You will work closely with stakeholders, clients, and cross-functional teams to optimize processes, document requirements, and ensure timely project completion. Key Responsibilities Business Process Evaluation & Improvement: Evaluate and analyze business processes, identify gaps, and anticipate requirements for process optimization. Lead ongoing reviews of business processes, developing strategies for improvement and automation. Stay updated on the latest trends, IT advancements, and tools to modernize and automate systems. Requirements Analysis & Documentation: Conduct thorough requirements analysis to understand client needs and create clear, actionable plans. Document findings, insights, and business requirements in the form of Functional Requirements Documents (FRD). Effectively communicate your insights, plans, and findings to cross-functional teams and management. Collaboration & Communication: Lead meetings, workshops, and presentations to share ideas, progress, and findings with internal teams. Work closely with clients, technical teams, and managers to ensure that solutions meet business needs and requirements. Act as a liaison between stakeholders and users, ensuring smooth communication and expectations management. Testing & Implementation: Perform User Acceptance Testing (UAT) to validate that the solution aligns with client needs and requirements. Monitor deliverables and ensure the timely completion of projects. Update, implement, and maintain procedures to ensure continual process improvement. Global Client Engagement: Travel to client locations globally, as per business needs, to ensure the successful implementation of projects. Skills & Experience Requirements 3 to 7 years of experience in business analysis or a related field. Experience in CRM or eCommerce domains preferred, but not mandatory. Strong experience in creating detailed reports and delivering presentations. Proficiency in Microsoft Office applications, including Word, Excel, PowerPoint, and Outlook. Proven experience in leading successful projects and teams. Exceptional analytical and conceptual thinking abilities. Excellent documentation and communication skills. Ability to influence stakeholders and collaborate to define acceptable solutions. Advanced technical skills and a strong understanding of business processes. Excellent planning, organisational, and time-management skills. Qualification : BE / ME / M.Sc / MCA

Analog Engineer Location: Pune Role Overview Join our dynamic R&D team as an Analog Engineer, contributing your expertise to develop cutting-edge electronics hardware for instrumentation products used in the process industry. This role involves close collaboration with diverse stakeholders including Digital Business Leaders, Customer Support, and Branch Engineers to ensure smooth project execution and high customer satisfaction. Occasional travel may be required to engage with vendors, stakeholders, and maintain strong customer relationships. Purpose of the Role Design and develop high-quality analog electronics hardware that meets stringent industry requirements for performance, reliability, safety, and environmental standards in instrumentation products. Technical Responsibilities Understand product requirement specifications, incorporating electrical, communication protocols, environmental, EMC, safety, industrial design, performance, and reliability standards into your designs. Design electronics circuits interfacing with various sensors, input/output signals, communication protocols (UART, RS232, RS485, I2C, SPI, HART, PROFIBUS, FIELDBUS, Wireless, etc.), display and keypad (UI) devices, microcontrollers, ADCs, DACs, display chips, and special function ICs. Develop designs suitable for 2-wire transmitters, actuators, indicators, converters, sensors (4-20mA), IEPE vibration sensors, battery-powered sensors, and wireless devices. Implement analog signal processing and control functions including scaling, amplification, filtering, integration, differentiation, multiplication, compression, clipping, clamping, linearizing, isolation, ON-OFF, PID, etc. Design linear and switching power supplies to power circuits and external devices. Implement PCB designs considering constraints such as space, parasitic effects, signal and power integrity, thermal management, RF/EMC considerations, manufacturability, and usability. Test designs thoroughly through in-house labs, external labs, and field site validations to ensure all requirements are met. Ensure adherence to target material cost budgets. Operate and utilize test and measurement instruments such as DMM, DSO, function and signal generators, pulse generators, counter timers, spectrum analyzers, LCR meters, HV testers, and network analyzers. Utilize development tools like SPICE, 3D modeling software, Mathcad, and EDA tools (Pads, Cadence) effectively. Qualification & Experience Master s or Bachelor s degree in Electronics, Electronics & Telecommunication, or equivalent discipline 4 to 5 years of relevant experience in analog hardware design for instrumentation or related fields Qualification : Masters or Bachelors degree in Electronics, Electronics & Telecommunication, or equivalent discipline

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Business Analyst Biocarbon Business Location: Pune Experience: 5 10 Years Function: Biocarbon Business Education: Bachelor s degree in Engineering Master s degree in Business Administration, Environmental Science, or a related field Job Summary: We are looking for a dynamic and analytical Business Analyst to support the growth of BiofuelCircle s Biocarbon Business. The role is central to improving platform engagement for internal and external stakeholders, enhancing user experience, and driving data-driven decisions for sustainable bioenergy solutions. The Business Analyst will work on market research, financial modeling, regulatory compliance, and cross-functional collaboration to support strategic business goals. Key Purpose of the Role: To enable smooth operational workflows, resolve user challenges, and support strategic initiatives by providing insights from data, market analysis, and project evaluation ultimately strengthening BiofuelCircle s impact on the biocarbon and sustainability ecosystem. Key Responsibilities: 1. Market & Competitive Analysis Research carbon markets, sustainability trends, and competitor strategies. Generate actionable insights for business development and strategic planning. 2. Data Analysis & Reporting Collect, analyze, and interpret data related to carbon credits, environmental projects, and financial metrics. Deliver meaningful reports and dashboards to support decision-making. 3. Stakeholder Collaboration Work closely with New Market Development, Supply Chain, Finance, and Project Management teams. Ensure alignment between project execution and overall business strategy. 4. Financial Modeling Build robust financial models and conduct sensitivity analyses for carbon offset and credit-based initiatives. Evaluate investment opportunities and project viability across multiple scenarios. 5. Regulatory Compliance Ensure all projects comply with relevant national and international carbon standards and certification protocols. 6. Technology & Innovation Support Contribute to digital innovation initiatives such as blockchain-based carbon tracking and AI-driven analytics. Ideal Candidate Profile: Professional Experience: Experience in carbon markets, sustainability, biocarbon, biomass, or nature-based solutions (NBS). Proven ability to build financial models and conduct scenario-based analysis. Core Competencies: Strong analytical and problem-solving capabilities. Excellent communication and stakeholder engagement skills. Exposure to industrial technologies and project development is an advantage. Travel Requirements: Minimal (as per project or stakeholder needs) Opportunity: This is a unique opportunity to work at the intersection of sustainability, innovation, and strategic business development. As a Business Analyst, you will contribute directly to shaping India s emerging biocarbon economy while working on impactful projects that promote circular growth and environmental compliance. Collaboration: This role requires regular interaction with teams in New Market Development, Supply Chain, Finance, and Project Management to ensure cohesive project outcomes and aligned business objectives. Qualification : Bachelors degree in Engineering and Masters degree in Business Administration, Environmental Science, or a related field

Job Title: Relationship Manager Mid Market Location: Pune Function: Customer Experience Relationship Management Employee Type: Full-Time Experience Required: 1 3 Years Role Purpose As a Relationship Manager Mid Market, you will be responsible for managing the entire lifecycle of corporate clients in the mid-market segment for telecom services including Mobility, Fixed Line, and Data solutions. This role focuses on ensuring seamless service delivery, account growth, and customer satisfaction while strengthening Airtel s presence within client organizations. Key Responsibilities Customer Lifecycle Management Manage end-to-end service delivery for assigned corporate accounts, ensuring adherence to SLAs and TAT. Serve as the single point of contact for all client interactions, ensuring timely resolution and zero escalations. Conduct regular service camps, account reviews, and customer engagement activities to enhance brand visibility and retention. Revenue Growth & Churn Control Drive upselling and cross-selling of Airtel s telecom products and services across the customer lifecycle. Monitor account usage and proactively address churn risks to ensure account stickiness and revenue stability. Operational Excellence Ensure strict compliance with all business processes and service-level standards. Maintain accurate and updated account dossiers, track complaint levels, and promote digital adoption (e.g., e-bills, self-care platforms). Collections & Payment Efficiency Improve collection efficiency (0 60 days, 60 90 days) by ensuring timely payments and reducing suspense through virtual account management. Support clients in payment posting, billing queries, and reconciliation activities. Performance Monitoring Track and analyze corporate account performance across multiple telecom products and services. Promote digital enablement and virtualization through tools such as PFH, self-care portals, and paperless billing. Required Skills Strong analytical thinking and problem-solving ability. Proficiency in Microsoft Excel and financial modeling. High process orientation and attention to detail. Excellent verbal and written communication skills. Strong customer-centric approach and service mindset. Effective negotiation and stakeholder management. Qualifications Bachelor s degree in Engineering, Business Administration, or related field. MBA in Marketing or Operations is preferred. Work Experience 1 3 years of relevant experience in client servicing or relationship management, preferably in the telecom industry. Candidates with 2 7 years of telco experience can also be considered based on role fit. Qualification : Bachelors degree in Engineering, Business Administration, or related field

Tableau Architect Location: Pune Role Overview: We are looking for an experienced Tableau Architect to lead the design, development, and optimization of scalable data visualization solutions. The ideal candidate will bring deep expertise in Tableau, strong data architecture skills, and a passion for mentoring and guiding teams. You will play a pivotal role in delivering impactful analytics and ensuring best practices are followed across the organization. Key Responsibilities: Lead and mentor junior Tableau developers and analysts in Pune, fostering skill development and enforcing adherence to data visualization best practices. Architect, design, and implement scalable, high-performing Tableau dashboards and data models to support business analytics needs. Optimize Tableau environments to ensure efficient performance with large datasets and complex visualizations. Guide and support data integration efforts from diverse data sources into Tableau, ensuring data consistency and reliability. Conduct training sessions, hands-on workshops, and provide one-on-one mentorship to upskill team members. Collaborate with cross-functional teams including data engineers, business analysts, and IT to align on data and reporting requirements. Troubleshoot and resolve technical issues related to Tableau workbooks, data connections, and server performance. Create and maintain clear, user-friendly documentation for internal and external stakeholders, including architecture diagrams, user guides, and training materials. Technical Skills: Advanced proficiency in Tableau Desktop, Tableau Prep, and Tableau Server. Strong background in data modeling, ETL processes, and data architecture. Expertise in SQL and experience working with relational databases (e.g., SQL Server, Oracle). Hands-on experience in data integration from multiple sources and ensuring data quality. Proven ability to optimize dashboard performance for speed and responsiveness with large-scale datasets. Familiarity with cloud platforms such as AWS or Azure for data storage and analytics. Soft Skills & Additional Requirements: Experience in training and mentoring junior analysts, with a focus on building local talent in Pune. Excellent communication skills, especially when working with distributed and cross-functional teams. Strong problem-solving abilities to diagnose data and performance issues effectively. Commitment to producing high-quality documentation and reusable templates.

Position: Analyst, Operations Location: Pune, Maharashtra, India Our Mission: Healthcare should work for patients but it often doesn t. Zocdoc empowers patients by providing a leading healthcare marketplace where millions can easily find and book care across specialties and insurance plans nationwide. We aim to transform healthcare into a competitive, consumer-friendly industry that raises quality and lowers costs. Your Impact: As an Analyst, Operations, you ll partner with Provider Set Up teams to turn operational activities into actionable insights. Through data analysis, metrics tracking, and visualization, you ll optimize workflows, projects, and overall team performance helping Zocdoc run smoothly and efficiently. You ll Enjoy This Role If You Are: Detail-oriented and results-driven, with a knack for extracting meaningful insights from diverse data sources. Comfortable working independently and collaboratively in a fast-paced, dynamic environment. Interested in leveraging emerging technologies like machine learning and AI to innovate. Technically proficient in data extraction, analysis, and visualization. A strong communicator and multitasker who quickly adapts to new challenges. Day-to-Day Responsibilities: Collaborate across teams to develop/refine performance metrics aligned with business goals. Manage projects end-to-end: data analysis, visualization, testing, deployment, and documentation. Standardize data interpretation and management practices to ensure consistency and integrity. Identify and streamline inefficient workflows using dashboards and consolidated data sources. Design and build custom queries and dashboards to support business decisions. Train and support end-users in understanding and leveraging new reports and dashboards. What Success Looks Like: Bachelor s degree with at least 60% in 10th/12th/graduation from a top-tier institution. 4+ years experience in data management, analysis, visualization, metrics tracking, and modeling. Advanced proficiency in SQL. Experience with Looker/LookML and Salesforce reporting (preferred). Python skills are a plus. Strong independent problem-solving skills. Excellent verbal and written communication. Benefits: Join a smart, supportive, and mission-driven team. Competitive compensation and medical insurance. Perks like catered lunch, Ping Pong, daycare facilities, wellness programs, and more. Cellphone and Wi-Fi reimbursements. Competitive parental leave and sabbatical (after 5 years). Annual sponsored health check-ups. Certified Great Place to Work (2024-2025). About Zocdoc: Zocdoc is the nation s leading digital health marketplace, helping millions find, compare, and book healthcare effortlessly. Founded in 2007, we are driven by our mission to empower patients and guided by our core values. We prioritize diversity, equity, and inclusion, fostering a collaborative, welcoming workplace. Qualification : Bachelors degree with at least 60% in 10th/12th/graduation from a top-tier institution.

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

Informatica Senior Developer (IDMC) Pune Location: Pune Experience: 5+ Years Start Date: Immediate Salary: Best in Industry Qualification: Bachelor s / Master s Degree in Computer Science, IT, or a related field Job Summary: We are hiring a skilled and experienced Informatica Senior Developer specializing in IDMC (Informatica Intelligent Data Management Cloud) for our Pune location. The role involves leading the design and development of scalable MDM solutions, ensuring data governance, and optimizing cloud data integrations across enterprise systems. If you're looking to lead next-gen data initiatives using cloud-native technologies, this is the role for you. Key Responsibilities: MDM Architecture & Solution Design: Design scalable and secure Informatica MDM solutions on IDMC. Define enterprise-wide data governance, data modeling, and metadata frameworks. IDMC Implementation Leadership: Lead end-to-end MDM project lifecycles including development, testing, deployment, and optimization. Ensure high-quality and business-aligned IDMC solutions. Cloud Data Integration: Integrate MDM with cloud and enterprise systems using Cloud Data Integration and Cloud Application Integration. Tune data flows for maximum performance and availability. Data Governance & Compliance: Implement data security, compliance (GDPR, CCPA), and quality rules using IDMC features. Ensure consistent and accurate data across business domains. Leadership & Mentorship: Mentor junior developers and guide them through complex workflows in IDMC. Establish best practices and coding standards within the team. Cross-Team Collaboration: Partner with business analysts, data architects, and stakeholders to align MDM initiatives with enterprise goals. Troubleshooting & Continuous Improvement: Lead resolution of technical issues in production and development environments. Continuously optimize MDM workflows for better performance and efficiency. Documentation & Reporting: Maintain clear and comprehensive documentation on architecture, configurations, and workflow processes. Provide regular project status updates to leadership and stakeholders. Key Requirements: Experience & Expertise: 5+ years of hands-on experience with Informatica MDM and IDMC. Proven experience designing and deploying cloud-native MDM solutions. In-depth knowledge of Cloud Data Integration, Cloud Application Integration, and Cloud Data Quality. Technical Skills: Strong command over SQL, Java, RESTful APIs, and web services. Experience with cloud-native data architecture, governance, and data security on IDMC. Familiarity with Azure, AWS, or Google Cloud is a plus. Work in a leading-edge cloud data engineering team based in Pune. Shape the data landscape of global enterprises through MDM excellence. Enjoy a collaborative culture, flexible working environment, and top-tier compensation. Apply Now to join as an Informatica Senior Developer (IDMC) and lead transformative data initiatives from our Pune office! Qualification : Bachelors / Masters Degree in Computer Science, IT, or a related field

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

Tech Lead Data Overview: As a Tech Lead Data, you will provide technical leadership to a team of experts, helping implement information-driven strategies and systems that support agricultural scientists in developing solutions for growers. You will manage end-to-end implementation of data environments beyond architectural design, ensuring that real-life data systems are developed and executed efficiently. You are a highly motivated problem solver with the ability to prioritize shifting workloads in a dynamic environment. You are an effective communicator and a confident leader passionate about making things happen within a fast-paced organization. Key Responsibilities: Lead the development of data and analytics capabilities within the R&D node of the enterprise data mesh, implementing architectural blueprints for various data platforms. Develop and implement an organizational data strategy aligned with business processes, including data model design, database development standards, and management of data warehouses and analytics systems. Identify and manage both internal and external data sources, creating a data management plan aligned with the organizational strategy. Collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth functioning of the enterprise data ecosystem. Guide the technical direction of data projects and initiatives, ensuring best practices in data engineering and analytics. Integrate technical functionality to ensure data accessibility, accuracy, and security. Perform continuous audits of data management systems and address performance issues, reporting breaches or vulnerabilities to stakeholders. Experience & Skills Required: 9+ years of experience in Big Data, data warehousing, data analytics, and/or Information Management projects. Proven experience building large-scale enterprise data architectures using both commercial and open-source Data Analytics technologies. Strong data modeling and architecture skills, including expertise in data warehousing, data normalization, and dimensional modeling (e.g., OLAP, data vault). Understanding of predictive modeling, Natural Language Processing (NLP), text analysis, and Machine Learning. Knowledge of security integration, including Kerberos authentication, SAML, data security, privacy techniques like data masking, and tokenization. Experience with DevOps engineering and Continuous Integration/Delivery tools. In-depth understanding of AWS Cloud solutions and integrating into legacy systems and COTS solutions. Familiarity with the following tools: Data Ingestion: Snaplogic, Glue, Lambda Storage: S3 Processing: Databricks DWH: Redshift, Databricks SQL Warehouse Databases: RDS Languages: Python (pyspark), SQL (sparksql), Java, R BI Tools: PowerBI, Dash, Spotfire, Qlik Catalog: Glue catalog, Unity Catalog Streaming: Kafka, EventHub AI/ML: MLOps, SageMaker Storage/Dataframe: S3, Deltalake, Iceberg, Parquet Qualifications: University bachelor s degree in Science, Technology, Engineering, or Mathematics (STEM). Fluency in English. Strong customer focus with excellent communication, teamwork, and negotiation skills. In-depth technical experience, ideally with AWS certification. Experience implementing data-first solutions. Experiences to be Gained: Continuous upskilling in the latest technologies, tools, and design practices. Exposure to R&D operations. Development of leadership and relationship-building skills with internal customers. Company Description: Syngenta Group is one of the world s leading sustainable agriculture innovation companies, with over 53,000 people in more than 100 countries. We strive to transform agriculture through tailor-made solutions for farmers, society, and the planet. We are committed to maintaining high standards of ethics, integrity, and creating an inclusive, discrimination-free workplace. Additional Information: Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status. Qualification : University bachelors degree in Science, Technology, Engineering, or Mathematics (STEM).

Position Summary This role will be responsible for developing commercial forecasts for pipeline and launching products as well as completing opportunity assessments for life cycle management. This role brings specific therapeutic area in-depth expertise, analytical instinct, strategic thinking, and project management skills to communicate the value assessment of new assets and flag appropriate risks and opportunities. Job Responsibilities The delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats. Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support the brand strategy. Prepare robust forecast assumptions leveraging expertise and analogs from the in-line Forecasting team and research from the Insights and Analytics team. Ensure objectivity of brand/therapeutic area forecasts by establishing objectives aligned around forecast accuracy. Developing brand volume forecasts, both short-term and long-term, to feed into strategic and operational planning processes. Support launch preparations and guide the teams to set up clear post-launch performance tracking by creating and monitoring the short-term revenue forecasts, comparable to actuals in the future, and recommending adjustments when applicable. Consistent delivery of analytics that drive informed decision-making, including the definition and development of models to be used in answering business and operational questions. Adopting and executing new and innovative analytics offerings for untapped opportunities; Enabling automation of routine measurements. Supports client strategy to ensure business and compliance needs are met. Coordinate and manage subordinates, facilitate interdepartmental communication, and allocate tasks and resources as needed. Guide and advise the modeling and capabilities team as a Subject Matter Expertise on various technologies, solutions, and capabilities to help set up industry-leading practice. Education BE/B.Tech Work Experience 7-12 years of experience in Experience working with Life Sciences companies in pharmaceutical forecasting (in branded business)/ data analytics; experience supporting both pipeline and marketed product(s) preferred; experience in Specialty or Rare Disease, preferred. Expertise with a variety of modeling techniques including statistical, patient-flow, simulations, agent-based and other systems dynamics-based techniques. Manage & develop patient/epidemiology-based forecasting models for pharma clients. Project Manager who can lead enablement of global life sciences companies to manage forecasting and/or data & analytics function through Axtria solutions and innovative methodologies. EPI based Forecasting for Inline, Pipeline, and BD&L Products/ Brands. Trend-Based Forecasting Experience. Experience supporting multiple markets globally, Region, and countries. A deeper understanding of disease and Therapy Areas and their application to forecast. Expertise in handling datasets - IQVIA, Evaluate, IPD, Kantar, DRG etc. Proven experience working with pharmaceutical datasets (Rx, APLD, etc). Effective forecast storyboarding, capturing key insights backed by relevant data and Quantitative Analytics, Business Analysis and Analog Analysis. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed Qualification : BE/B.Tech

Position Summary We are seeking a seasoned thought leader to lead our Decision Science and Commercial Analytics team. This role will be responsible for developing commercial forecasts for pipelines and launching products, as well as completing opportunity assessments for lifecycle management. You will leverage deep therapeutic area expertise, analytical instincts, strategic thinking, and project management skills to communicate the value assessment of new assets while identifying risks and opportunities. Job Responsibilities Client & Stakeholder Management: Manage client and onshore stakeholder relationships to ensure successful business delivery, aligning with business needs. Collaboration with Project Managers: Work closely with project managers to define the algorithm, break down the problem into actionable steps, and execute the analysis. Project Scoping & Solution Design: Lead project scoping, solution design, and execution, ensuring effective communication of analysis in client-ready formats. Demand Forecasting: Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support brand strategy. Forecast Assumptions: Prepare robust forecast assumptions by leveraging expertise and analogs from the Forecasting team and insights from the Insights and Analytics team. Forecast Accuracy: Establish objectives to ensure objectivity in brand and therapeutic area forecasts, focusing on forecast accuracy. Brand Volume Forecasting: Develop both short-term and long-term brand volume forecasts to support strategic and operational planning processes. Launch Support & Post-Launch Tracking: Support launch preparations and guide teams in setting up post-launch performance tracking. Create and monitor short-term revenue forecasts, adjust when necessary, and compare against actuals. Data-Driven Decision-Making: Deliver consistent analytics that drive informed decision-making. Define and develop models to answer critical business and operational questions. Education Bachelor's Degree (BE/B.Tech) Master of Business Administration (MBA) Work Experience 15+ years of experience working with Life Sciences companies in pharmaceutical forecasting and data analytics. Experience supporting both pipeline and marketed products is preferred; Specialty or Rare Disease experience is a plus. Expertise in various modeling techniques such as statistical modeling, patient-flow models, simulations, agent-based modeling, and systems dynamics. Proven experience in patient/epidemiology-based forecasting models for pharmaceutical clients. Strong project management skills, with the ability to lead the enablement of global life sciences companies in forecasting and analytics functions through innovative solutions. Extensive experience in EPI-based forecasting for inline, pipeline, and BD&L products/brands. Expertise with pharmaceutical datasets (e.g., IQVIA, Evaluate, IPD, Kantar, DRG, Rx, APLD, etc.). Experience working across multiple markets globally with a deep understanding of disease and therapy areas and their application to forecasting. Technical Competencies Life Sciences Knowledge Project Management Pharmaceutical Forecasting Expertise Attention to P&L Impact Business Development Capability Building & Thought Leadership Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership & Accountability Cultural Fit Talent Management Additional Information: This position requires a dynamic individual with a deep understanding of pharmaceutical forecasting, analytics, and project management. You will play a key role in supporting product and brand strategies with insightful, data-driven forecasting models and contribute to the growth and success of global life sciences clients. Qualification : Bachelor's Degree (BE/B.Tech)

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients. Job Responsibilities Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis and reporting. Strong in logical reasoning, structuring of analysis, asking the right questions and logical approach to analyse data, problems, and situations. Proficient in Microsoft Office suite. Teamwork and collaboration and can mentor junior associates. Articulate in communication written or verbal and able to convey ideas and information clearly to client or client facing teams. Willingness to learn and innovate. Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation. Effectively communicate with onshore/ client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc using various data sources. Strong communication, project management, and storyboarding skills. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others