Data Analytics Jobs in Chennai
206 Jobs Found
Data Scientist
Finnup Solutions
Position: Data Scientist Experience: 2+ Years Type: Full-time Location: Chennai About the Role As a Data Scientist at FinnUp, you will transform raw data into actionable insights that drive strategic decisions. You will work with complex datasets, build predictive models, and collaborate closely with cross-functional teams. Your expertise in analytics engineering, combined with your proficiency in Python especially pandas data frames and dictionaries will be critical in optimizing data workflows and delivering impactful results. Key Responsibilities Analyze large, complex datasets to extract meaningful insights that support business decision-making. Develop, implement, and maintain predictive models and machine learning algorithms to solve key business problems. Use pandas extensively for data manipulation, analysis, and visualization. Work closely with product, marketing, and business teams to understand requirements and provide data-driven solutions. Design and implement scalable data pipelines and ELT processes to ensure data integrity and accuracy. Create insightful dashboards and reports using Metabase to communicate findings to stakeholders. Stay current with the latest trends, tools, and advancements in data science, AI, and analytics engineering. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or related field. 2-3 years of experience as a Data Scientist or in a similar analytical role. Strong proficiency in Python with deep experience in pandas, dictionaries, and other core data structures. Experience with data visualization tools, especially Metabase. Solid understanding of statistical analysis and machine learning methods. Ability to write efficient SQL queries for data extraction and manipulation. Excellent problem-solving skills with high attention to detail. Strong communication and collaboration skills. Preferred Qualifications Hands-on experience building and deploying machine learning models in production environments. Familiarity with cloud platforms such as AWS or Google Cloud. Knowledge of additional programming languages like R or Julia. Experience with other data visualization tools and libraries. Competitive salary and benefits package. Opportunities for professional growth and skill development. A collaborative, innovative, and supportive work environment. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field
Business Intelligence Lead
Kaleidofin Private Limited
Business Intelligence Lead Experience: 6+ Years Location: Chennai Company: Kaleidofin About Kaleidofin Kaleidofin is a pioneering fintech platform creating a digital ecosystem to provide financial access for everyone, everywhere. Through our ki credit platform, we deliver credit health assessments, middleware integration, advanced risk management dashboards, and debt capital market structuring enabling financial institutions to serve underserved segments like women entrepreneurs, farmers, and MSMEs across India, Bangladesh, and Kenya. With over 6 million customers impacted and more than $3 billion facilitated in debt capital, Kaleidofin is backed by global investors including the Gates Foundation, Omidyar Network, and Blume Ventures. Recognized internationally by Forbes Asia and the United Nations, and winner of RBI s Swanari TechSprint and G20 TechSprint 2024, we are committed to innovation and impact. Role Overview We are seeking an experienced Business Intelligence Lead to drive data analytics and reporting efforts that inform strategic decisions across risk, credit, compliance, fraud detection, and product performance. The ideal candidate will bring strong leadership, a deep understanding of financial services data, and hands-on expertise in BI tools and data governance. Key Responsibilities Team Leadership & Development Lead and mentor the Data Analytics team; identify skill gaps and implement training plans. Data Analysis & Insights Leverage BI tools (Power BI, Tableau, Looker) to deliver actionable insights that drive business and partner strategies. Develop and optimize dashboards and reports aligned with business goals. Data Visualization & Reporting Create clear, interactive visualizations for diverse stakeholders, ensuring accessibility and timeliness. Manage robust data pipelines using ETL/ELT tools like Informatica, Talend, or Airflow. Collaboration & Stakeholder Management Partner with cross-functional teams to gather data requirements and support executive, regulatory, and product reporting needs. Present insights to senior leadership to promote data-driven decision-making. Process Improvement & Automation Automate routine reporting and continuously enhance BI tools and workflows for efficiency and accuracy. Data Governance & Compliance Maintain data quality standards and governance practices ensuring compliance with data privacy regulations. Interface with auditors and compliance teams as required. KPI Management Achieve >90% data accuracy through audits and corrections. Ensure >80% user adoption of BI products by monitoring engagement metrics. Deliver cost savings by evaluating BI-driven efficiency improvements. Who You Are Bachelor s or Master s degree in Computer Science, Data Science, Information Systems, or related fields. 6+ years in BI, analytics, or data architecture, with 3+ years in leadership or architect roles. Hands-on experience with BI platforms (Power BI, Tableau, Looker) and proficient in SQL querying. Strong knowledge of financial data domains: credit scoring, transactions, KYC, fraud, lending, payments. Experience with credit bureau data (Experian, Equifax, CRIF) preferred. Experience with cloud data platforms (AWS, GCP, Azure) and data warehousing concepts. Familiarity with machine learning applications in BI or data science is a plus. Relevant certifications such as Microsoft Data Analyst Associate or AWS Certified Data Analytics are advantageous. Join a high-impact team revolutionizing financial inclusion. Work with cutting-edge BI technologies in a fast-growing fintech startup. Thrive in a culture that values innovation, collaboration, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Information Systems, or related fields
Manager / Senior Manager Operations
E Care India
Job Title: Manager / Senior Manager Operations Experience Required: 7 15 Years Job Category: Billing Operations Location: Chennai Eligibility: Graduates from any stream Work Mode: Work from Office Job Summary: We are seeking an experienced and strategic Manager / Senior Manager Operations to lead and oversee our end-to-end Revenue Cycle Management (RCM) operations. This role requires deep domain expertise in medical billing, strong leadership, and the ability to manage teams, clients, and data-driven decision-making effectively. Key Responsibilities: Lead and manage end-to-end RCM processes including Charge Entry, Payment Posting, and AR Management. Oversee daily operations and ensure quality, productivity, and process compliance. Manage and mentor teams; provide guidance, support, and performance feedback. Build strong relationships with clients through effective communication via email and calls. Drive data-driven decision-making through data analysis, report generation, and delivering presentations to management. Contribute to operational planning including transition management and FTE forecasting. Collaborate cross-functionally to improve process efficiency and resolve escalations. Maintain a high standard of professionalism, confidentiality, and integrity. Required Skills & Qualifications: Minimum 12 years of experience in end-to-end RCM operations. At least 3 to 5 years of experience in managing and leading teams. Strong oral and written communication skills. Excellent interpersonal skills and ability to work collaboratively or independently. Proficient in MS Office, especially Excel and PowerPoint. Demonstrated experience in client handling, data reporting, and process transitions. Job Essentials: Hands-on experience with Charge Entry, Payment Posting, and AR functions. Experience in handling client communications and escalations. Expertise in data analytics, reporting, and presenting business insights. Proven track record in transition planning and workforce (FTE) management. Qualification : Graduates from any stream
Junior Manager MIS & Analytics
Muthoot Fincorp (mfl)
Position: Junior Manager MIS & Analytics Location: Chennai Experience Required: 2 7 years Education: Graduate / Postgraduate / MBA (any stream) Industry Preference: BFSI / NBFC Role Overview We are looking for a highly analytical and detail-oriented Junior Manager MIS & Analytics to support reporting, dashboard management, and data analysis activities. The role involves working closely with senior leadership and regional teams to drive data-based decision-making and ensure accuracy, timeliness, and usability of business reports. Key Responsibilities Collaborate with National Head, Zonal, State & Branch teams for data management and reporting needs. Gather and analyze business requirements for reports, dashboards, and data solutions. Support in transitioning legacy reports to modern BI tools or centralized systems. Ensure accurate and timely delivery of reports and dashboards across teams. Maintain and improve report performance and data availability for end-users. Provide ad-hoc analytical support and generate insights to support operational decisions. Follow and implement best practices in report design, data structuring, and process repeatability. Manage linear data analysis and maintain reporting precision with minimal supervision. Skills & Competencies Advanced Excel proficiency (including pivot tables, VLOOKUP, formulas, etc.) Strong command of the English language (verbal & written) Excellent data analysis, time management, and organizational skills High attention to detail and process accuracy Ability to prioritize tasks and work under pressure Effective communication and stakeholder management Collaborative team player with strong networking skills Preferred Qualifications Graduate or Postgraduate in any discipline (MBA preferred) 1 3 years of relevant experience in MIS reporting, preferably in BFSI or NBFC sectors Experience with BI tools, basic knowledge of data visualization platforms is a plus A data-centric role working directly with leadership across zones Opportunity to shape data practices and dashboarding for business teams Dynamic, fast-paced work environment with long-term career potential Qualification : Graduate / Postgraduate / MBA (any stream)
Chief Manager - Credit
Tvs Credit Services Ltd
Job Title: Chief Manager Credit Department: Credit Location: Chennai Job Type: Full-Time | Permanent Reporting To: Associate Vice President Credit Job Purpose: The Chief Manager Credit will be responsible for developing, implementing, and overseeing credit policies for the Consumer Durable Loans portfolio. This role requires deep expertise in retail lending risk management, scorecard development, and digital credit decisioning, with a strong understanding of consumer behavior and the dynamics of consumer finance within banks or NBFCs. Key Responsibilities: Policy Development & Risk Management Design and manage credit policies for Consumer Durable Loans across multiple geographies and product lines. Develop rule-based and scorecard-driven underwriting frameworks aligned with market trends and risk appetite. Continuously monitor portfolio performance, delinquencies, and credit costs to ensure portfolio health and suggest timely policy changes. Business Alignment & Collaboration Work closely with OEMs, retailers, and sales finance teams to align credit strategies with business goals. Collaborate with product, technology, and analytics teams to deploy policies effectively across both digital and assisted lending journeys. Provide credit risk inputs for new product launches, business partnerships, and channel strategies. Data-Driven Credit Strategy Leverage bureau data, customer analytics, and alternative data sources to refine credit segmentation and enhance decision accuracy. Drive innovation in credit decisioning through use of digital tools, scorecards, and partner integrations. Governance & Compliance Ensure adherence to internal credit standards, regulatory norms, and audit requirements. Conduct regular reviews of credit policies to ensure relevance and effectiveness. Qualifications & Experience: Educational Qualification: Postgraduate or MBA (Finance preferred). Experience: Minimum 8 years in credit policy, with significant exposure to Consumer Durable Loans in a Bank or NBFC. Key Functional Competencies: Strong understanding of EMI schemes, zero-cost financing, and manufacturer subvention models. Experience working with fintech partners, embedded finance platforms, and POS financing networks. Skilled in credit policy formulation, risk modeling, and scorecard development. Proficient in working with credit bureau data, partner APIs, and digital credit tools. Key Behavioral Competencies: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Proven track record of effective cross-functional collaboration. Technical proficiency in Excel, SQL, and analytics tools such as SAS or Python is preferred. This is a high-impact leadership opportunity in the evolving consumer lending space, where you'll shape credit strategy and risk frameworks at scale, working alongside dynamic teams and partners in a fast-growing environment. Qualification : Postgraduate or MBA (Finance preferred)
Data Scientist
Blackstraw Simplify Ai
Job Title: Data Scientist Company: Blackstraw.ai Job Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 10 Years Job Summary: We are looking for Data Scientists to analyze large amounts of raw information to find patterns that will help improve our clients business. We will rely on you to build data products to extract valuable business insights. You will be part of our AI team in developing AI based products through the latest cutting edge technology. Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Communicate your findings to the appropriate teams through visualisations Collaborate and communicate findings to diverse stakeholders Provide solutions but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Preferred Qualifications: Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts. Minimum of 3+ years of experience in a related position, as a data scientist building predictive analytics or NLP or CV solutions for various types of business problems. Working knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like Tensorflow, Pytorch, PySpark. Programming background and expertise in building models using at least one of the following languages: Python, R, C, C++, Spark, Scala. Good knowledge in the implementation of deep learning models for image classification, Document classification models, object detection, logo detection. Self-motivated and driven to deliver agreed results on-time. Company Profile: Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labelling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data. Blackstraw operations are based out of Canada, USA & India. Our head office is based in Florida. Qualification : Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts.
Assistant Manager - Data Science
Latentview Analytics
Role: Assistant Manager Data Science Location: Chennai, Tamil Nadu, India Experience: 6 8 Years Employment Type: Permanent, Full-Time About the Role We are hiring an experienced Assistant Manager Data Science to join our dynamic analytics team in Chennai. This role requires 6 8 years of hands-on experience in data science, applied analytics, machine learning (ML), and statistical modeling. The ideal candidate will have a strong analytical mindset, excellent problem-solving abilities, and the ability to transform data into strategic business insights. Key Responsibilities Design and develop machine learning models and data analytics frameworks to solve real-world business problems. Apply statistical techniques to analyze structured and unstructured data. Write complex and optimized SQL queries to manage and extract data from large datasets. Build insightful and interactive dashboards and visualizations using tools like Tableau. Collaborate with cross-functional stakeholders to understand requirements and deliver data-driven solutions. Translate business challenges into analytical problems and structure approaches for resolution. Keep up-to-date with the latest trends in data science, artificial intelligence (AI), ML, and data visualization. Required Skills & Qualifications 5+ years of experience in data science, applied analytics, or machine learning. Strong command of Advanced SQL and hands-on experience with large-scale datasets. Proficient in Python for ML and statistical analysis. Expertise in data visualization, preferably with Tableau. Solid understanding of statistical methods, predictive modeling, and data interpretation. Excellent communication and stakeholder management skills. Analytical, detail-oriented, and innovative approach to problem-solving. Work on impactful and high-visibility data science projects. Be part of a collaborative and forward-thinking analytics team. Gain exposure to cutting-edge technologies and business strategies. Competitive salary and benefits package.
Hardware Integration Engineer
Prodex Technologies Private Limited
Job Title: Hardware Integration Engineer Location: Chennai, Tamil Nadu Job Summary We are seeking a skilled and proactive Software Engineer to join our IoT engineering team. The focus will be on building intelligent asset tracking systems using BLE beacons and RFID sensors. The ideal candidate will have hands-on experience with BLE and RFID technologies, GPIO sensor integration, backend development with Java Spring Boot and Python scripting, as well as algorithm design for real-time asset localization and monitoring. This role suits individuals passionate about IoT systems and edge software-to-cloud integration. Key Responsibilities Design and develop asset tracking solutions integrating BLE and RFID readers. Interface with RFID readers and GPIO-based sensors to monitor asset movement and presence. Develop scalable applications using Java Spring Boot to manage device communication, data ingestion, and user-facing APIs. Implement advanced signal processing and filtering algorithms (e.g., MAD, trilateration, interference detection) for precise asset location estimation. Integrate BLE gateway and RFID sensor data into real-time tracking systems. Configure GPIO pins for sensor input, RFID status tracking, and alert generation. Manage data storage, querying, and analytics using MySQL and H2 databases. Develop automated tests and diagnostics to ensure system robustness and reliability. Collaborate with hardware, network, and data science teams for seamless end-to-end solution delivery. Qualifications Minimum 2 years of software development experience in Java (Spring Boot) and Python. Hands-on experience integrating BLE beacons and RFID readers, including working with GPIO interfaces. Strong understanding of signal processing techniques such as RSSI filtering, trilateration, and proximity estimation. Experience integrating hardware (RFID, sensors) with software systems and communication protocols. Proficient in MySQL and optionally H2 database for embedded or lightweight deployments. Excellent debugging, problem-solving, and algorithm design skills.
Pre-Sales Solutions Specialist - Rfid & Iot Asset Tracking
Prodex Technologies Private Limited
Job Title: Pre-Sales Solutions Specialist RFID & IoT Asset Tracking Location: Chennai, Tamil Nadu (Hybrid) Experience: 5+ years Reports to: CEO Role Overview We are looking for a technical pre-sales professional to spearhead enterprise sales of RFID and IoT asset tracking solutions. You will act as the bridge between client needs spanning IT, manufacturing, and lab operations and our software/hardware portfolio, targeting Fortune 1000 companies and US government agencies. This role requires availability during US East Coast working hours. Key Responsibilities Engage with CTOs, IT leaders, and operations executives to identify and map pain points (asset visibility, audit compliance, loss prevention) to our asset tracking software, RFID tags, and IoT infrastructure. Conduct live demonstrations of real-time tracking solutions across applications such as: Lab equipment calibration management Manufacturing work-in-progress (WIP) and finished goods tracking IT asset audits for data centers Design proof-of-concept scenarios using RFID, BLE, and GPS integrations tailored to customer environments. Collaborate with deployment teams to customize solutions for challenging environments (e.g., clean rooms, oil fields, secure facilities). Educate clients on ROI metrics, highlighting benefits like 80% faster audits, preventive maintenance alerts, and loss reduction. Qualifications Minimum 5 years experience in B2B pre-sales, preferably within IoT, RFID, or enterprise SaaS domains. Technical fluency in RFID hardware, ERP/CMMS system integrations, and sensor networks is highly preferred. Proven track record selling to pharmaceutical, biotech, or industrial sectors. Lead deployments for an 18+ year innovator with prestigious clients including the Air Force and top biotech firms. Gain access to a proprietary RFID Tags Lab and a customizable software suite. Attractive compensation package with competitive base salary plus commission tied to enterprise deal closures.
Senior Technical Engineer EMCS Customer Projects
Schneider Electric
Senior Technical Engineer EMCS Customer Projects Location: Chennai About the Role: We are looking for a Senior Technical Engineer to join Schneider Electric s Digital Power team, specializing in Energy Management and Control Systems (EMCS) for industries such as Oil & Gas, Electro Intensive, Energies, Power & Grid, Micro-Grid, and Transport. Based in Chennai, this role involves technical leadership, solution development, and project execution, working closely with internal teams, customers, and business leaders. Key Responsibilities: Technical Leadership & Execution: Lead EMCS automation engineering activities for complex projects. Provide technical solutions, innovation strategies, and execution plans. Ensure compliance with project objectives, timelines, and quality standards. Project Management & Risk Assessment: Analyze and identify risks and opportunities in project specifications during bidding and execution. Plan team activities based on workload and solution complexity. Support the Project Manager and Tendering team with technical insights. Team Development & Collaboration: Foster a culture of technical excellence and innovation within the team. Mentor and develop team members' technical competencies. Collaborate with internal and external stakeholders to drive successful project execution. Quality & Continuous Improvement: Ensure high technical quality and service levels for engineering documentation (network architecture, technical descriptions, BOM, etc.). Drive continuous improvement by setting productivity targets and implementing related actions. Ensure compliance with quality, safety, and environmental procedures. Required Skills & Competencies: Strong expertise in energy automation project execution. Leadership experience in team management and customer engagement. Deep understanding of the energy industry and automation solutions. Ability to identify and implement technical innovations. Excellent communication, problem-solving, and interpersonal skills. Highly self-motivated, proactive, and adaptable. Qualifications & Experience: Education: Bachelor s or Master s degree in Electrical/Electronics, Computer Science, or Instrumentation Engineering. Experience: 7-8 years in energy automation, project execution, and team leadership. Experience in customer management and stakeholder collaboration is a plus. Join Schneider Electric and be part of a team driving the future of energy automation! Qualification : Bachelors or Masters degree in Electrical/Electronics, Computer Science, or Instrumentation Engineering.
Banking Advisory New Associate
Accenture India
Job Title: New Associate Commercial Real Estate Accounting Reports Skill Requirement: Commercial Banking Commercial Real Estate Accounting Reports Qualifications: Any Graduation Experience: 0 to 1 year About Accenture Accenture is a global professional services company with expertise in digital, cloud, and security solutions. With unmatched experience across 40+ industries, we provide Strategy & Consulting, Technology & Operations, and Accenture Song services, powered by the world s largest network of Advanced Technology and Intelligent Operations centers. Our team of 699,000 professionals drives innovation and human ingenuity to serve clients in over 120 countries. We embrace change to create value and success for clients, employees, shareholders, partners, and communities. Visit us at www.accenture.com. Job Overview As a New Associate in the Commercial Real Estate Accounting Reports team, you will support clients in addressing quality and productivity challenges, keeping up with customer expectations, and ensuring business sustainability. Our Corporate & Wholesale Banking team facilitates trade finance transactions while ensuring regulatory compliance and risk mitigation. This includes servicing mortgage banks and financial institutions by handling: Interest, principal, and escrow payments Monthly payment statements and collections Record-keeping of payments and balances Managing tax and insurance payments, including escrow and impound funds Fund remittance to note holders and delinquency follow-ups Key Responsibilities Analyze and resolve lower-complexity problems within the assigned scope Collaborate with peers within Accenture and provide updates to supervisors Limited exposure to clients and Accenture management Receive moderate instructions for daily tasks and detailed guidance for new assignments Contribute as an individual team member with a focused area of work Work may require rotational shifts Required Skills & Qualifications Flexibility to work in US shifts Preferably commercial banking experience Strong communication skills Relevant work experience in commercial banking operations Build your career in commercial real estate accounting Work with a dynamic and global organization Gain valuable experience in corporate & wholesale banking If you are looking to grow your career with a world-leading company, this is the opportunity for you! Qualification : Any Graduate
Operations It Data Technologist
Dow
Operations IT Data Technologist About Dow At Dow, we put people first and are committed to integrity, respect, and safety for our employees, customers, and the planet. We are a diverse community of relentless problem-solvers who thrive on collaboration, innovation, and the pursuit of a sustainable future. By leveraging science and technology, we help transform industries and shape the world we live in. If you're looking for a meaningful and challenging role, you're in the right place. About the Role As an Operations IT Data Technologist, you will play a key role in data management and system optimization within manufacturing facilities. You will lead and support projects, manage SAP Master Data Configuration, and ensure alignment across global operations. This role requires a strong understanding of maintenance and operations, along with expertise in SAP, data analytics, and IT systems. Responsibilities Manage and optimize master data, including the global Maintenance, Repair, and Operating (MRO) supplies catalog and SAP configurations. Ensure data alignment across global manufacturing sites. Lead projects involving data transfer (e.g., moving data to a tenant in case of divestiture). Analyze and improve data processes, utilizing methodologies such as data mining, statistics, visualization, optimization, and simulation. Facilitate collaboration between site maintenance, production leaders, and business end users to drive continuous improvement. Provide expertise in Operations ITOT, ensuring system effectiveness, training, troubleshooting, and targeted improvements. Align global priorities within a defined business process area to maximize value. Qualifications Bachelor s degree in Engineering, Manufacturing, or a related field. 10+ years of experience in maintenance, operations, or IT-related roles in a manufacturing environment. Strong leadership and facilitation skills to drive improvement initiatives. Skills & Technical Expertise SAP BO Data Services (BODS) SAP HANA / LSMW SAP Information Steward Mass data loads in SAP Tableau for data visualization Fluency in English and experience working in a global environment Additional Information Relocation assistance is not available for this position. Flexibility to work across international time zones may be required. Total Rewards & Benefits Competitive Salary & Bonus Equitable and market-competitive pay with performance-based incentives. Career Growth Extensive learning, mentoring, and development opportunities. Retirement & Financial Planning Savings plans, employee stock purchase programs, and financial education resources. Health & Wellbeing Robust medical, life insurance, and mental health support. Flexible Work Culture Role-based flexibility for work-life balance. Parental Leave & Family Support Paid leave for new parents and caregivers. Time Off & Volunteer Programs Paid vacation, volunteering opportunities, and Employee Resource Groups (ERGs). On-Site Fitness & Discounts Gym memberships, shopping discounts, and travel insurance (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science. With 1,000+ employees, our manufacturing sites, innovation centers, and commercial offices drive advancements in packaging, infrastructure, automotive, and consumer care. We are Great Place to Work Certified and actively support Corporate Social Responsibility (CSR) initiatives that empower women, children, and differently-abled individuals through technology and employee volunteerism. Join Our Team & Make an Impact! At Dow, diversity is our strength, and we are committed to equal opportunities for all. If you need any accommodations during the application or interview process, please let us know. Apply now and be part of a global team shaping the future through science and innovation!
Ms Dynamics Business Central
Srinsoft Technologies
Business Central Technical Consultant Requirements 4-10 years of experience in Microsoft Dynamics 365 Business Central. B.E/B.Tech in Computers or any relevant qualification. Pre-Requisites We are seeking a highly skilled and experienced Business Central Technical Consultant to join our dynamic team. The ideal candidate will have a strong technical background in Microsoft Dynamics 365 Business Central and extensive experience in implementing and customizing solutions for clients across various industries. The ideal candidate should have completed at least one end-to-end implementation project and one integration project. Job Description Lead and participate in the implementation of Microsoft Dynamics 365 Business Central solutions for clients, including system configuration, customization, data migration, and integration with third-party applications. Analyze client business requirements and translate them into technical specifications and solution designs. Develop and implement customizations using AL language, extensions, and integrations with other Microsoft and third-party products. Provide technical guidance and support to project teams and client stakeholders throughout the project lifecycle. Conduct technical workshops, training sessions, and knowledge transfer activities for clients and internal teams. Collaborate with cross-functional teams, including functional consultants, developers, and project managers, to deliver high-quality solutions on time and within budget. Stay updated on the latest developments and best practices in Microsoft Dynamics 365 Business Central and related technologies. Skills and Qualifications Minimum 5 years of experience working with Microsoft Dynamics 365 Business Central (formerly Dynamics NAV/Navision). Strong technical skills in AL language, Visual Studio Code, and Dynamics 365 Business Central development tools. Experience with customization, configuration, and integration of Business Central modules, including Finance, Sales, Purchasing, Inventory, and Manufacturing. Knowledge of Microsoft Power Platform (Power Apps, Power Automate, Power BI) and Azure services is a plus. Excellent analytical, problem-solving, and communication skills. Ability to work effectively in a fast-paced, dynamic environment and manage multiple projects simultaneously. Microsoft certifications in Dynamics 365 Business Central or related technologies are preferred. Qualification : B.E/B.Tech in Computers or any relevant qualification.
Senior Engineer - Data Engineering
Altimetrik India Pvt Ltd
Job Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics
Business Head / Practice Head
Ideas2it
Role Overview: We are seeking an experienced Business Head / Practice Head for the Ideas2IT Consulting Practice. The ideal candidate will have substantial experience in the Indian IT services industry, specifically in areas such as Digital Transformation, Solution Design & Consulting, Pre-Sales, and Customer Advisory. As a leader, you will take end-to-end ownership of the consulting team, collaborating with the Ideas2IT executive team. The role involves overseeing all aspects of the consulting practice, from strategy to execution, with significant responsibilities in Pre-Sales. Why Choose Ideas2IT? At Ideas2IT, we combine the best attributes of both product startups and services companies. With multiple product initiatives and customer-facing projects, you will have exposure to diverse technologies and growth opportunities. As Generative AI (Gen AI) continues to transform industries, we are committed to leveraging these advancements, alongside leading companies like Microsoft. What s in it for You? End-to-End Ownership: Oversee the entire consulting practice, including strategy, execution, offerings, pre-sales, revenues, consulting project execution, and people leadership. Strategic Leadership: Lead the consulting offerings portfolio, defining and maintaining the value proposition. Team Leadership: Set up and manage a central Pre-Sales team that collaborates with sales, practice, and delivery teams to develop proposals and presentations. Thought Leadership: Create value through articles, blogs, lead magnets, and speaker sessions. Impactful Projects: Lead and execute consulting projects, including workshops, assessments, and advisory engagements. What You ll Bring: Industry Experience: 18-20 years of experience in the IT services industry. Consulting Expertise: 10-12 years in consulting, practice, and pre-sales roles, with a deep understanding of Digital Transformation, AI & ML, Data Science, Data Engineering & Analytics, BI, and Cloud technologies. Pre-Sales Proficiency: Hands-on experience in Pre-Sales, working closely with sales and practice teams to develop proposals and presentations. Consulting Leadership: Proven experience in executing consulting projects such as workshops, assessments, and advisory engagements. Project Delivery: Strong knowledge of IT services project execution and delivery, especially in the Global Delivery (Onsite-Nearshore-Offshore) model. Leadership Skills: Outstanding leadership abilities, with excellent communication and collaboration skills. Ability to work as an Individual Contributor and across team boundaries. Domain Expertise: Consulting experience with US customers, particularly in the healthcare sector. Technology Proficiency: Prior experience in custom Application Development with the latest technology stacks, along with knowledge of AI, ML, Gen AI, and LLMs. Industry Knowledge: Domain expertise in healthcare and/or financial services is preferred. About Ideas2IT: Ideas2IT operates at the intersection of Technology, Business, and Product Engineering, delivering high-caliber Product Development services. Initially established as a CTO consulting firm, we have evolved into leaders in cutting-edge technologies like Generative AI, helping our clients embrace innovation. We specialize in applying technology to address real-world business challenges. Our proven track record includes developing AI-driven solutions for industry giants such as Facebook, Bloomberg, Siemens, and Roche. Leveraging our product-centric approach, we ve successfully incubated AI-based startups like Pipecandy, Element5, IdeaRx, and Carefi, all backed by venture capital. With 14 years of remarkable growth, we are committed to pushing boundaries and achieving ambitious objectives. Qualification : 10-12 years of prior experience in consulting, practice and pre-sales related roles
Senior Product Manager
Ltimindtree
Job Title: Senior Product Manager College Connect Job Overview: The Senior Product Manager for College Connect will spearhead the strategy, design, and deployment of advanced technology solutions to elevate the capabilities of educational institutions. This role requires a seasoned professional with deep expertise in the IT industry to manage end-to-end product lifecycles, drive customer success, and implement transformative solutions powered by emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and cloud computing. The ideal candidate will collaborate across diverse teams to address client needs and deliver innovative educational technology solutions. Qualifications: Master s degree in Data Analytics, Artificial Intelligence, or a related discipline. 20+ years of extensive experience in the IT industry, with expertise in product management, solution sales, and partner engagement. In-depth knowledge and proven track record in emerging technologies such as IoT, AI/ML, cloud computing, and embedded systems. Demonstrated success in managing large-scale technology implementations across industries like manufacturing, automotive, and aerospace. Exceptional communication, leadership, and customer relationship management skills. Key Responsibilities: 1. Product Strategy and Leadership: Develop and execute innovative technology strategies and solutions that align with market needs and institutional objectives in the education sector. Ensure seamless integration of products into customer environments while adhering to industry best practices. 2. Customer Engagement and Success: Build and nurture strong relationships with key clients, ensuring project delivery excellence and achieving superior customer satisfaction. Lead large-scale project implementations while driving measurable outcomes for customers. 3. Innovation and Solution Development: Harness the potential of AI/ML, IoT, and cloud computing to design state-of-the-art products that advance the educational ecosystem. Lead the adoption of new technologies to maintain a competitive edge in the market. 4. Cross-functional Collaboration: Partner with internal teams, external stakeholders, and clients to create impactful and user-focused product offerings. Ensure effective coordination and alignment of cross-disciplinary efforts to achieve business objectives. 5. Data-Driven Insights and Decision Making: Utilize data analytics and AI-driven insights to improve product performance and deliver enhanced outcomes for customers. Champion evidence-based decision-making processes across the organization. This position offers a unique opportunity to lead transformative change in the educational sector through advanced technological innovation, while working at the forefront of emerging trends. Qualification : Masters degree in Data Analytics, Artificial Intelligence, or a related discipline.
Data Analyst
Comcast
About Comcast: Comcast is a Fortune 50 leader at the intersection of media and technology. With a focus on innovation, we create groundbreaking entertainment and online experiences for millions of customers worldwide. If you're passionate about teamwork, revolutionizing industries, and leading the future of media and technology, Comcast is the place to grow your career. Job Summary: The Data Analyst will work cross-functionally to collect, analyze, and model data to uncover trends and provide actionable insights. You'll support key business decisions through exploratory analysis, forecasting, and optimization. This role requires in-depth technical expertise, independent prioritization, and clear communication of findings to stakeholders. Core Responsibilities: Data Collection & Analysis: Work with business leaders to understand requirements and develop technical specifications. Retrieve, analyze, and summarize complex data from platforms like Teradata, SQL Server, Hadoop, and AWS. Identify relevant data sources and combine disparate datasets for actionable insights. Exploratory & Predictive Analysis: Conduct exploratory data analysis and hypothesis testing to uncover trends and drivers. Develop forecasting models for key business metrics such as sales and demand. Measure the impact of campaigns, features, or initiatives and identify opportunities for improvement. Visualization & Communication: Create narrative-driven presentations and effective data visualizations for executives and decision-makers. Communicate insights clearly and concisely to influence strategic business decisions. Innovation & Collaboration: Stay updated on trends in analytics, statistics, and machine learning, and apply them to solve business challenges. Promote a culture of knowledge sharing, healthy skepticism, and teamwork within the organization. Customer-Focused Approach: Drive results by integrating feedback from customers and employees via Comcast s Net Promoter System (NPS). Champion the customer experience and advocate for seamless digital interactions. Compliance & Accountability: Adhere to Comcast s Operating Principles and ensure regular, consistent, and punctual attendance. Fulfill additional duties as needed. Qualifications: Must-Have: Proven experience with big data platforms (e.g., Teradata, SQL Server, Hadoop, AWS). Strong proficiency in data analysis, hypothesis testing, and forecasting techniques. Ability to develop clear and compelling data visualizations and presentations. Exceptional problem-solving and independent judgment skills. Preferred: Knowledge of emerging analytics trends, statistics, and machine learning. Experience with business operating frameworks and a results-driven approach. Familiarity with Net Promoter System (NPS) feedback integration. Diversity & Inclusion: We believe diverse perspectives drive innovation and success. Growth-Oriented Culture: We foster an environment of learning and collaboration. Employee Benefits: Comprehensive benefits package, flexible schedules, and career development opportunities. Impactful Work: Be part of an organization that shapes the future of media and technology. Disclaimer: This description provides a general overview of the role. It is not intended to encompass all responsibilities or qualifications. Comcast is proud to be an equal-opportunity workplace, considering all applicants regardless of race, religion, gender, disability, or veteran status.
Senior Big Data Software Engineer
Epam Systems
We are seeking a highly experienced Senior Big Data Software Engineer to join our dynamic team and tackle challenging projects that will enhance your skills and career. As a Senior Engineer, your contributions will be critical in designing and implementing Big Data solutions across a variety of projects. The ideal candidate will possess deep experience in Big Data and associated technologies, with a strong emphasis on Apache Spark, Python, Azure and AWS. Technologies Hadoop Hive Responsibilities Develop and execute end-to-end Big Data solutions to meet complex business needs Work collaboratively with interdisciplinary teams to comprehend project needs and deliver superior software solutions Apply your expertise in Apache Spark, Python, Azure and AWS to create scalable and efficient data processing systems Maintain and enhance the performance, security, and scalability of Big Data applications Keep abreast of industry trends and technological advancements to foster continuous improvement in our development practices Requirements 5-8 years of direct experience in Big Data and related technologies Advanced knowledge and hands-on experience with Apache Spark High-level proficiency with Hadoop and Hive Proficiency in Python Prior experience with AWS and Azure native Cloud data services We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 5-8 years of direct experience in Big Data and related technologies
Engineering Manager - Data And Analytics Engineering
Arcadia
About Arcadia: Arcadia is a leading technology company focused on solving the climate crisis by empowering energy innovators and consumers. We re revolutionizing the energy industry with our software and APIs, creating access to the data and clean energy necessary for building a decarbonized energy grid. Since our founding in 2014, Arcadia has been working to break the fossil fuel monopoly and offer high-quality clean energy options to consumers and small businesses. Today, we ve launched Arcadia Platform, a SaaS product that is transforming the energy industry into a data-driven network. With a $1.5B valuation and $500M raised, Arcadia is scaling its operations to solve one of the world s most significant challenges. We re building a diverse team of individuals who are passionate about making a difference. Join us in shaping a clean energy future! What We re Looking For: We are seeking a thoughtful, empathetic, and driven Engineering Manager to lead and grow our team of four engineers responsible for building data products for Arcadia s customers and internal stakeholders. You will guide the team to solve complex data engineering and analytics problems, while ensuring their professional growth and development. You will also work closely with the Director of Data and Analytics Engineering to develop roadmaps and strategies that align with the business needs. The role is based in Chennai, India, with a hybrid remote-first approach, and offers the opportunity to shape a world-class data ecosystem in a fast-paced, high-growth environment. What You'll Do: Empower and guide engineers: Lead a team of engineers in solving complex data problems within the energy sector. Work with cross-functional teams: Collaborate with Product, Design, and Marketing teams to define roadmaps and strategies for our Platform business. Drive technical excellence: Contribute to technical discussions and ensure that the team is building scalable data pipelines and assets. Mentor and develop team members: Provide ongoing mentorship, aligning team members skills, interests, and career aspirations with business needs. Facilitate regular feedback and performance discussions. Lead by example: Foster a culture of empathy and humanity while delivering results in a fast-paced environment. Align stakeholder expectations: Represent engineering concerns to ensure alignment with business priorities and goals. What Will Help You Succeed: Must-Haves: 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team. Deep understanding of modern data and analytics engineering practices, with the ability to contribute hands-on when necessary. Experience with Python (in a data orchestration context) and SQL (in a data modeling context). A proven track record of mentoring and growing direct reports through feedback, goal-setting, and career development. Ability to navigate the relationship between Engineering, Product, and Design teams. Nice-to-Haves: Experience with tools and technologies in Arcadia s data stack: Snowflake dbt (or similar Analytics Engineering tools) Prefect (Airflow experience is a plus) AWS, Docker, Kubernetes (basic familiarity) GitHub and GitHub Actions Experience with scalability challenges at fast-growing startups. Familiarity with automating internal processes to improve operational efficiency. Experience with roadmap development and execution. Background in the energy sector or related fields. Benefits: Competitive compensation based on market standards. Hybrid remote-first model, promoting flexibility in work arrangements. Flexible leave policy to support work-life balance. Medical insurance for you and your family (up to 6 members), including accident and life insurance. Annual performance cycle with rewards and recognition. Quarterly team engagement activities to enhance collaboration and team spirit. Learning & Development programs to support continuous growth and skill-building. A supportive engineering culture that emphasizes diversity, empathy, teamwork, trust, and efficiency. Why Arcadia? At Arcadia, we celebrate diversity and believe that unique perspectives are essential to our collective success. We are committed to equal employment opportunities and welcome applicants from all qualified candidates eligible to work in India, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, or protected veteran status. We are committed to providing reasonable accommodations for individuals with disabilities during the application process, interviews, or employment. Please contact us if you require accommodation. How to Apply: If you are excited about building the next-generation data ecosystem and contributing to Arcadia s mission of a clean energy future, we encourage you to apply. We look forward to learning what you will uniquely bring to our team! Qualification : 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team.
Director - Enterprise Head Of (ecs) Architecture
Astrazeneca
Job Title: Director - Enterprise Head of (ECS) Architecture Career Level - G Introduction to role The Enterprise Head of Enterprise Capabilities & Solutions (ECS) Architecture is responsible for the architecture across the ECS landscape, collaborating with other Heads of Architecture to support AstraZeneca's business and IT strategies. This role involves crafting AZ standards, patterns, and roadmaps, ensuring ECS architectures conform to them. The role partners with key business teams, IT Leadership, and other Heads of Architecture to develop AstraZeneca s Digital and Architectural landscape, aligned with business strategies and visions. Additionally, the role is responsible for key architecture processes such as standards and lifecycle management, drives change across EA, and addresses industry trends in defining AZ s vision. The role also acts as a sponsor or steering group member for multi-functional or enterprise-wide projects. Accountabilities Provide Enterprise Design thinking and support to ECS across the Enterprise, application, and infrastructure domains of architecture. Define the architecture strategy, direction, and standards pertinent to the ECS Segment. Lead the development and execution of Data & Analytics specific architecture capability and strategy. Handle performance and development of a team of Architects across various technology domains to deliver end-to-end architecture solutions. Define architecture strategy and principles, policies, and standards to produce function-specific reference architectures and solutions. Manage relationships with Data & Analytics leadership to influence adoption of enterprise architecture frameworks, standards, and policies. Drive the development of global enterprise standards for the central Architecture & Technology Strategy function. Analyze business data and AI priorities & strategies and translate these into architecture requirements for the enterprise. Act as an authority to the architecture community and the business regarding strategic architecture decisions for ECS. Refine architecture strategies, direction, standards, and patterns as required. Lead the development of Architecture Roadmaps and Blueprints (1-5 Year horizon). Ensure continuous alignment of capabilities with current business priorities and objectives. Chip in to multi-functional decision-making bodies. Act as a sign-off authority for solution and segment architectures as well as architecture blueprints and roadmaps. Champion ECS EA initiatives across IT (and business). Engage and build a network with external architecture authorities to stay updated with the latest trends and technologies in ECS. Act as a strategic architectural advisor for senior IT and Business management. Ensure ECS Architectures align with Global strategies and solutions. Analyze IT industry and market trends to resolve potential impact on the enterprise. Establish partnerships with key ECS technology suppliers. Provide thought leadership and sophisticated technical expertise for enterprise ECS architecture across IT. Drive the continuous development of the Architecture Capability within IT by championing standard process sharing. Partner closely with ECS service/engineering teams in refining architecture patterns, designs, and blueprints. Focus on cost reductions (efficiency). Drive adoption of new technology against the Architecture strategy roadmap (adoption would be the important metric). Manage vendor relationships. Ensure regulatory compliance. Foster team engagement. Essential Skills/Experience Bachelor s degree or equivalent experience in Computer Science or Data Management related field Extensive experience and knowledge of ECS solutions Ability to influence and deliver strategic vision, direction, and planning Blend of data architecture, analysis, and engineering skills Experience in known industry architectural patterns Understanding cloud-based containerization strategies for hybrid cloud environments Knowledge of appropriate data structure and technology based on business use case Experience in using data modeling technologies Desirable Skills/Experience Post-graduate degree in MIS, Data Management Extensive experience in a data architect role with practical examples of designing and providing data engineering blueprints that have been pragmatically implemented Experience in Agile data definition scrums Experience using metadata cataloguing tools Knowledge of Cloud Economics and Forecasting Qualification : Bachelors degree or equivalent experience in Computer Science or Data Management related field
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