Business Intelligence 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!

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

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

Reporting Analyst Location: Pune Department: Research and Development Software Development Employment Type: Full-Time About Entrata Founded in 2003 by visionary college students transforming online rent payments, Entrata has grown into a global leader serving property owners, managers, and residents. Our award-winning software suite covers rent payments, insurance, leasing, maintenance, marketing, and communications reshaping property management worldwide. With over 2,200 team members globally across offices in Utah, Texas, India, Israel, and the Netherlands, Entrata blends startup innovation with enterprise stability. We value transparent communication, diversity of thought, boldness, resilience, and collective excellence to create better living experiences. Role Overview Entrata is seeking a highly analytical and detail-oriented Reporting & Metrics Analyst to join our R&D team. In this role, you will design and maintain the reporting infrastructure that drives operational transparency and accountability across the product development lifecycle. You will collaborate closely with Product, Engineering, and Product Marketing teams to provide real-time insights into requirement tracking, release readiness, internal tool adoption, and go-to-market asset status. The ideal candidate has deep expertise in Domo, strong SQL skills, and familiarity with Jira schema and Agile workflows. Your passion for building intuitive dashboards, surfacing actionable metrics, and automating reporting will enable scalable, data-driven decisions. Key Responsibilities Design, develop, and maintain dashboards in Domo that track SDLC progress, release health, and adoption metrics. Ensure Jira data integrity by maintaining consistent tagging, statuses, and structures for epics and user stories. Write custom SQL queries to create calculated metrics, join datasets, and implement audit flags. Monitor data freshness and proactively alert teams to any inconsistencies or missing inputs. Track and report on product requirements planning and execution, including ownership and release eligibility. Provide visibility into internal communications deliverables, such as product updates, launch decks, and customer enablement content. Analyze usage and adoption metrics for internal tools (e.g., support agents, documentation platforms). Collaborate with Product Marketing to define standardized reports for quarterly planning, user conferences, and release briefings. Automate reporting workflows to minimize manual effort and maximize accuracy. Deliver regular reporting packages to R&D and cross-functional leadership teams. Minimum Qualifications 2+ years of experience in analytics or reporting within software, product, or data operations environments. Strong hands-on experience creating dashboards in Domo. Proficient in SQL for querying and manipulating complex datasets. Familiarity with Jira data structures, issue hierarchies, and Agile methodologies. Detail-oriented with a strong commitment to data quality and reporting accuracy. Excellent communication skills, with the ability to clearly document insights and enable stakeholders. Ability to manage multiple stakeholders and priorities in a fast-paced setting. Preferred Qualifications Experience reporting on product development, SDLC, or Agile delivery metrics. Background supporting go-to-market deliverables or product marketing functions. Familiarity with support analytics or customer experience platforms (e.g., Zendesk, internal AI tools). Comfortable collaborating with distributed teams and using remote collaboration tools.

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Manager Market Research Location: Pune, Maharashtra Function: Marketing Experience: 7 8 Years Education: MBA (preferred with Engineering background) or Degree in Economics / Statistics Job Summary: We are seeking a strategic and data-driven Manager Market Research to lead research initiatives that inform BiofuelCircle s growth in the bioenergy sector. This role will focus on identifying new geographic and product opportunities, assessing industrial demand and rural supply, and generating actionable insights to support decision-making across functions. Key Purpose of the Role: To build and lead a market research function that supports geographic expansion, product diversification, and strategic decision-making through in-depth data analysis, customer insight, and competitor benchmarking. Key Responsibilities: Market Research Industrial Demand & Rural Supply Conduct primary (qualitative) and secondary (quantitative) research on biomass availability and biofuel demand Maintain district- and taluka-level datasets across Indian states for all operational and target regions Research crop production, harvesting practices, residue availability, and alternate applications Analyze industrial clusters using biomass/coal and identify platform adoption enablers and barriers Market Intelligence & Analysis Identify new demand and supply markets or clusters Perform gap analyses against existing operations Conduct on-ground validations based on crop seasons and geographies Customer Insights & New Product Development Run exploratory studies to support new product development and product-market fit assessments Design and implement surveys, dipsticks, and focus groups to gather customer insights Competitor & Market Landscape Analysis Monitor competitors offerings and go-to-market strategies Track emerging trends across the bioenergy and cleantech sectors External Agency Management Draft research briefs in coordination with product and business teams Select appropriate methodologies and manage external research vendors Ensure research deliverables are on-time, cost-efficient, and actionable Team Building & Leadership Build and lead an in-house research team Drive research process governance and ensure alignment with strategic business needs Policy Framework & Strategic Support Contribute to state-wise policy analysis for new products and geography expansion Support business planning for growth and diversification initiatives Ideal Candidate Profile: Industry Background: Experience in Energy, Cleantech, E-Commerce, or B2B Industrial sectors is preferred Deep understanding of the Indian market landscape Technical Competencies: Strong analytical and conceptual thinking Skilled in transforming complex data into strategic insights Capable of connecting insights across cross-functional teams Project governance and stakeholder alignment skills Communication & Interpersonal Skills: Excellent verbal and written communication Able to engage with a broad spectrum of stakeholders from rural micro-businesses to multinational corporations Soft Skills: Confident, assertive, and proactive Analytical mindset with the ability to lead and mentor a team Opportunity: Join a pioneering company in the bio-energy sector, driving sustainable transformation across India. This role offers a unique opportunity to work on high-impact projects while collaborating with a mission-driven and innovative team. Supervision & Collaboration: Reports to: Head of Marketing Works closely with: Product, Operations, Sales, Policy, and Strategic Planning teams Qualification : MBA (preferred with Engineering background) or Degree in Economics / Statistics

Senior ETL Engineer Location: Pune Role Overview: We are seeking a Senior ETL Engineer to design, develop, and optimize our end-to-end data infrastructure, including ETL pipelines, data lakes, and data warehouses. This role is instrumental in enabling reliable, scalable, and high-performance data operations while aligning with data governance best practices. You will be an integral part of a collaborative data team, working closely with Data Engineers, Architects, Analysts, Scientists, and other stakeholders to modernize and migrate our data systems to the cloud. Key Responsibilities: Convert SSIS stored procedures into Matillion mappings, and develop associated job schedules and audit frameworks. Design, build, and maintain efficient ETL pipelines to extract, transform, and load data from multiple sources into the data lake and data warehouse. Implement both full and incremental loads using SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) methodologies for real-time and batch data processing. Develop and maintain robust error handling, job monitoring, and job audit mechanisms. Conduct data profiling, data cleansing, and root cause analysis to resolve data inconsistencies and improve data quality. Optimize data pipelines for performance, scalability, and data quality, using benchmarking and tuning techniques. Build dashboards or reports for ETL job monitoring, performance tracking, and system health checks. Support data governance practices, ensuring accuracy, availability, and security of production data. Contribute to cloud migration initiatives, transitioning data workloads from on-premise systems to modern cloud data platforms. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as an ETL Engineer, Data Engineer, or in a similar data engineering role. Experience with cloud-based data platforms such as AWS, Azure, or GCP. Proficiency with data warehousing technologies like Snowflake, Redshift, Azure Synapse, or Databricks. Hands-on experience with ETL tools such as Matillion, SSIS, Informatica, AWS Glue, Azure Data Factory, StreamSets, STRiim, Oracle ODI, Coalesce, or Talend. Solid understanding of data modeling principles (E/R and Dimensional Modeling) and tools like ER/Studio or ERwin. Proficiency with SQL and programming/scripting languages such as Python, Scala, or Java. Experience with database tools such as Microsoft SSMS or Oracle Developer. Strong analytical, problem-solving, and data troubleshooting skills. Excellent communication and collaboration abilities. Ability to work efficiently in a fast-paced, agile, and dynamic environment. Qualification : Bachelor's degree in Computer Science, Engineering, or a 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.

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.

About Talentica Software: Talentica Software is a specialized software development firm founded by seasoned industry experts and alumni of IIT Bombay. We partner with startups to create innovative products, using cutting-edge technologies to address real-world challenges. With over 21 years of experience, we have collaborated with more than 180 startups, primarily in the U.S., contributing to many successful exits. In 2022, Talentica Software was honored as one of India s Great Mid-Size Workplaces by Great Place to Work. What We re Looking For: We are seeking a motivated Data Analyst to join our growing team. If you're passionate about working with SQL, BigQuery, Tableau, and MongoDB, and enjoy optimizing data ecosystems, we d love to hear from you! In this role, you will play a key part in managing and enhancing our data infrastructure, working across SQL (Oracle), BigQuery, Tableau, and NoSQL databases like MongoDB. You'll also help build our Lakehouse architecture and ensure data accuracy while supporting the scalability of our platform. Your Responsibilities: Develop, optimize, and maintain SQL queries to support efficient data delivery for Tableau reports. Write and refine complex queries for Oracle and BigQuery databases to meet business reporting needs. Utilize MongoDB to query semi-structured data for analytics and reporting. Collaborate with BI developers and analysts to streamline data workflows and enhance report accuracy. Design and manage ETL/ELT pipelines for smooth data ingestion and transformation. Work with cross-functional teams to identify and implement improvements in data workflows. Troubleshoot and resolve data issues as they arise. Contribute to the early-stage development of our Lakehouse architecture. Prepare existing data workflows for seamless integration with modern cloud platforms. Stay current with emerging data technologies and contribute to ongoing modernization efforts. Perform data validation and reconciliation to ensure consistency across multiple data sources. Collaborate with data analysts and business stakeholders to resolve data discrepancies. Support data quality assurance initiatives and establish best practices for data reliability. What You ll Need to Succeed: Qualifications: A BE/BTech in Computer Science, Data Engineering, or a related field from a prestigious institution (IIT, NIT, BITS, etc.). Experience: At least 5 years of experience in SQL development and managing data pipelines. Technical Skills: Advanced SQL skills, including performance tuning and query optimization. Strong understanding of ETL/ELT processes and experience with data transformation. Hands-on experience with relational databases (Oracle, BigQuery) and NoSQL (MongoDB). Proficiency in Python or other scripting languages for automation. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Experience with BI tools like Tableau is highly desirable. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to manage multiple tasks independently in a fast-paced environment. What We Offer: Innovative Culture: We focus on cutting-edge development, not routine maintenance work. Our team thrives on staying ahead with the latest technologies. Continuous Learning: At Talentica, you ll find abundant opportunities to grow and keep up-to-date with the latest trends in technology. Brilliant Peers: Work alongside talented professionals from top engineering colleges (IITs, NITs, and more). Work-Life Balance: Enjoy flexibility with remote work options and adaptable schedules. Supportive Environment: 82% of our employees recommend Talentica to their peers (according to Glassdoor), thanks to our positive, collaborative work culture. Recognition & Rewards: Your hard work will be celebrated, with a culture that recognizes and appreciates your contributions. If you re excited about the prospect of working with a team of bright professionals and advancing your career, we d love to hear from you. Ready to make an impact? Apply today, and let s connect! Qualification : BE/BTech in Computer Science, Data Engineering, or a related field from a top-tier institution (IIT, NIT, BITS, etc.).

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IITB. For over 21 years, we have been helping startups build products using cutting-edge technologies. With a focus on solving real-world problems, we ve worked with over 180+ startups, primarily in the US, leading to numerous successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a Data Engineer to join the product engineering team for a SAAS-based Subscription Management Platform. If you have a passion for working with data and a drive to innovate, we encourage you to apply. What You ll Be Doing: Data Transformation: Use Python and PySpark to transform large datasets and build efficient data pipelines. Pipeline Creation: Work with Kafka and Debezium to create and deploy real-time data pipelines. SQL Expertise: Write and optimize complex SQL queries for data aggregation and transformation. Delta Lake & Databricks: Utilize Delta Lake and Databricks for efficient data storage and management. Collaboration: Work with cross-functional teams to ensure data is accessible, reliable, and well-organized for product teams. To Be Successful in This Role, You Should Have: Qualification: BE/BTech from a top-tier engineering institute. Experience: 5+ years of experience in the data engineering field. Must-Have Skills: Strong proficiency in Python and PySpark for data transformation. Experience with Kafka and Debezium for data pipeline creation and deployment. Excellent SQL skills, especially for complex data aggregation and transformation. Familiarity with Delta Lake and Databricks. A solid understanding of all stages of the SDLC and experience with Agile/SCRUM methodology. Good-to-Have Skills: Understanding of machine learning algorithms. Familiarity with ETL tools like Matillion or Google Data Studio. Experience with creating BI reports using tools like Looker or Tableau. Familiarity with writing APIs to extract data from databases. What You ll Find Here: Culture of Innovation: We focus on technology expertise and innovation, not maintenance projects. Our customers come to us for cutting-edge solutions. Endless Learning Opportunities: Stay ahead of the curve by exploring new advancements in your field and applying them to build better, faster, and simpler products. Talented Peers: Work alongside experienced graduates from India's top 20 engineering colleges, including IITs, NITs, and other top-tier institutes. Flexibility: We value work-life balance and offer flexible schedules, including remote work options. Great Culture: 82% of our employees recommend Talentica to their friends, according to Glassdoor. You'll love being part of our team! At Talentica, we don t just follow trends we lead them. If you re looking for a dynamic, fast-paced environment with opportunities to innovate, grow, and shape the future of technology, Talentica is the place for you. Join us and make a real difference! Qualification : BE/BTech from a top-tier engineering institute.

Data Engineer - Media & Advertising Sector - Job Description We are looking for an experienced Data Engineer to join our team and drive business outcomes in the media and advertising sector. In this role, you will leverage advanced data technologies to design and implement comprehensive data strategies that focus on scalability, performance optimization, and secure data management. Successful candidates will have hands-on experience with Big Data technologies and machine learning models, as well as a deep understanding of the advertising domain and its data needs. Technical and Professional Requirements: Big Data Technologies: Proficiency with platforms such as BigQuery, Big Data, Hadoop, and Snowflake for managing and processing large-scale datasets. Programming/Scripting Languages: Strong experience in programming languages like Python, Java, or Go for developing data solutions. Machine Learning Models: Hands-on experience defining and implementing various Machine Learning models to address diverse business requirements. Data Scalability & Performance: Practical experience in handling performance and data scalability challenges to ensure efficient data processing and storage. Advertising Domain Knowledge: Familiarity with advertising data and experience working with datasets such as Campaign Performance, Ad Performance, Attribution, and Audience Data. Job Responsibilities: Data Strategy Design: Develop a comprehensive data strategy that aligns with business objectives. This includes designing data models, establishing database development standards, and managing data warehouses and data analytics systems. Data Source Identification: Identify internal and external data sources and create a plan for managing these data sources according to the overall business data strategy. Cross-Functional Collaboration: Work with various teams (engineering, product, analytics, etc.) to ensure the smooth functioning of the enterprise data system, facilitating cross-departmental cooperation. End-to-End Data Architecture: Manage the end-to-end data architecture process, from selecting the platform and designing technical architecture to developing applications, and finally testing and implementing the solution. Big Data Solution Planning: Plan and execute big data solutions using technologies like BigQuery, Big Data, Hadoop, and Snowflake. Data Accessibility & Security: Integrate technical functionality that ensures data accessibility, accuracy, and security throughout the data lifecycle. Educational Requirements: Any Graduate with 60% and above in your academic background. This position is ideal for someone who is passionate about data engineering and eager to tackle complex challenges in the media and advertising sector. If you're looking to drive innovation, work with cutting-edge technologies, and collaborate across teams, we would love to hear from you! Qualification : Any Graduate with 60% and above in your academic background.

Tableau Developer - Job Description We are seeking a highly skilled Tableau Developer with expertise in creating impactful and user-friendly dashboards. This role involves collaborating with clients to understand their business needs and delivering data-driven solutions that adhere to UX standards. The ideal candidate will have a strong background in Tableau and SQL, with additional knowledge of data warehouses and Ad Tech being a plus. This is an excellent opportunity for professionals passionate about transforming complex data into actionable insights and maintaining high-performance dashboards. Technical and Professional Requirements: Tableau Expertise: Strong proficiency in creating Tableau dashboards that are visually appealing and effective in communicating insights. SQL Proficiency: Solid understanding of SQL for querying and manipulating data from relational databases. Data Warehouse Experience: Experience with BigQuery or similar data warehouse technologies. Ad Tech Knowledge: Experience working in the Ad Tech domain is preferred, but not mandatory. Job Responsibilities: Dashboard Creation: Collaborate with clients to gather and understand requirements, then translate those into intuitive, user-friendly dashboards using Tableau. Data Manipulation: Use SQL to query and manipulate data as needed for dashboard creation. Data Warehouse Integration: Work with data warehouse concepts and create extracts for efficient Tableau performance. Dashboard Maintenance: Manage and maintain dashboards on Tableau Server, ensuring reliability, uptime, and accessibility. Educational Requirements: Bachelor s Degree in Computer Science, Information Technology, or a related field. Qualification : Bachelors Degree in Computer Science, Information Technology, 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.

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

Job Title: PowerApps Developer Essential Job Functions: Lead the end-to-end design, development, and deployment of complex PowerApps applications (both canvas and model-driven), ensuring alignment with business goals and objectives. Architect and implement integrations with external data sources such as Dataverse, SQL Server, SharePoint Online, Azure services, and third-party APIs. Develop workflows and complex business process automations using Power Automate, ensuring processes are efficient, reliable, and scalable. Collaborate with cross-functional teams and key stakeholders to gather, analyze, and refine business requirements for application development and automation. Define and enforce PowerApps best practices, ensuring scalability, performance, reusability, and security across all applications and solutions. Build and manage custom connectors, component libraries, and reusable solutions within PowerApps and Power Automate. Address and resolve complex technical issues, providing ongoing support, maintenance, and optimization for current PowerApps applications and workflows. Maintain detailed documentation, including solution architecture, technical specifications, and user guides for the applications developed. Stay up-to-date with the latest advancements and capabilities in the Microsoft Power Platform, applying new features to enhance existing applications and business processes. Essential Skills and Experience: 5+ years of professional experience in designing and developing PowerApps (both canvas and model-driven apps) and Power Platform solutions. Proven experience in architecting, developing, and integrating PowerApps with external systems such as Dataverse, SharePoint Online, SQL Server, and Azure services. Advanced proficiency in Power Automate, with experience creating complex workflows and automations for business processes. Strong understanding of PowerApps governance, ALM (Application Lifecycle Management), and Power Platform administration. Experience in building custom connectors and API integration to extend PowerApps functionality. Expertise in data modeling, security roles, permissions, and performance optimization within PowerApps. Proficiency in scripting languages (JavaScript, HTML, CSS) to enhance PowerApps UI and functionality. Excellent problem-solving and analytical skills, with experience troubleshooting and debugging PowerApps applications. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders. Preferred Skills: Microsoft Power Platform certifications, such as PL-400 (Power Platform Developer) or PL-600 (Power Platform Solution Architect). Familiarity with Power BI for reporting and data visualization. Hands-on experience integrating Dynamics 365 with PowerApps. Knowledge of DevOps practices and version control tools (e.g., Git) for Power Platform deployments.

Summary / Role Purpose As a Data Operations Analyst within the GTM Transformation & Strategy organization, you will partner with the Business Process Architect and Business Process Analyst to guide our stakeholders through the data quality-requirements definition and grooming of critical initiatives throughout our implementation portfolio. Experienced in engaging with cross-functional business stakeholders, you understand how to identify the data-related requirements necessary to achieve a business stakeholders goal and identify opportunities for data quality improvement. Key Duties and Responsibilities Collaborate with business stakeholders and lead discovery sessions to understand data requirements for activities including but not limited to: data mapping/transformation and data migration between systems, data loads and data quality; make recommendations to solve business problems. Critically evaluates information gathered from multiple sources, reconciles inconsistency, and breaks down high-level information into details. Works within agile SAFe operating model; ensures data-related activities are completed prior to release including but not limited to: data dictionary updates, business glossary updates, profile/permission master updates. Manages and monitors data quality dashboards; communicates key findings to business stakeholders. Perform Data Migration/Validation testing efforts; lead data-related UAT preparation activities and guide business users through data validation testing. Minimum Education/Certification Requirements and Experience Bachelor s Degree or equivalent work experience. 3+ years of data analyst experience focused on data mapping/STTM, data migration, data uploads. 2+ years of business systems administration related to customer data management. Prior experience with Salesforce security model, record management and data quality tools (i.e. data loader, deduplication, enrichment, standardization and archival capabilities). Prior experience maintaining data dictionary, data catalog and business glossary. Strong analytical skills with the ability to work through processes, identify and implement data quality improvements and resolve complex matters. Strong time management, attention to detail, and ability to multi-task across concurrent projects. Self-starter mentality and ability to operate within a fast-paced and ambiguous environment. Preferred Qualifications and Skills Salesforce Administrator (201) certification. Experience working in an Agile/SAFe environment. Experience with application lifecycle management tools (ADO, Jira, etc.). Ability to take on various roles including Business Process Analyst as needed, capturing and defining both business process and data-related requirements and translating into Agile Features with Acceptance Criteria. Comfortable working with unstructured or poorly defined data sets. Strong communication and writing skills with the ability to create business deliverables -- including features, user stories and acceptance criteria, with minimal direction and support from a team lead or project manager. Proficiency with MS Office suite of products, including Outlook, Word, Excel and PowerPoint. Our Commitments Amaze with innovative products and solutions. Make our customers incredibly successful. Act with integrity. Ensure employees thrive and shareholders prosper. Our Values Adaptability: Be open, welcome what's next. Courage: Be courageous, move forward passionately. Generosity: Be generous, share, listen, serve. Authenticity: Be you, make us stronger. Our Actions We commit to audacious goals. We work seamlessly as a team. We demonstrate mastery. We deliver outstanding results. Inclusion is at Our Core We believe diverse thinking leads to better outcomes. We are committed to creating and nurturing a workplace that fuels this by welcoming people, no matter their background, identity, or experience, to a workplace where they are valued and where diversity, inclusion, equity, and belonging thrive.

Operations Research Scientist Location: Pune, India About Aera Technology Aera Technology is a leading Decision Intelligence company, empowering enterprises to operate with greater efficiency, intelligence, and sustainability. Our cutting-edge platform, Aera Decision Cloud , seamlessly integrates with existing systems to digitize, augment, and automate decision-making in real time. Trusted by some of the world's most recognized brands, Aera delivers millions of AI-driven recommendations that drive significant revenue growth and cost savings. Role Overview We are seeking an exceptional Operations Research Scientist to join our team in Pune, India. In this role, you will work on challenging mathematical optimization applications, leveraging data science and advanced optimization modeling techniques. You will play a key role in developing analytical strategies and models to enhance efficiency and cost-effectiveness across various operational domains. Key Responsibilities Analyze and solve complex operational problems related to planning, pricing, and supply chains using data-driven approaches. Design, implement, test, and deploy robust optimization algorithms for real-world applications. Develop large-scale linear and integer programming models, heuristic solutions, and efficient optimization techniques. Collaborate closely with solution delivery teams to promote and implement optimization-driven strategies. Work directly with customers and engagement leaders to support live projects and deliver impactful solutions. Qualifications & Skills Bachelor s degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline. 10-15 years of relevant experience in mathematical optimization, data modeling, or operations research. Strong expertise in optimization methods and solvers (e.g., CPLEX, Gurobi, COIN-OR). Proficiency in Python and experience working with large-scale data environments. Ability to work proactively in a remote-friendly environment without requiring micromanagement. Technical Environment Cloud Infrastructure: AWS Operating System: Linux Big Data & Analytics: Spark Programming Language: Python At Aera Technology, we foster an innovative and collaborative workplace that enables employees to grow and thrive. As part of our global team, you will work on cutting-edge technologies and drive impactful solutions for some of the world s top enterprises. We offer: Competitive compensation and company stock options. A dynamic, flexible, and remote-friendly work environment. Opportunities for professional growth and continuous learning. Equal Opportunity Employer Aera Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, or disability status. Join us and be a part of building a smarter, more sustainable future! Qualification : Bachelors degree in a quantitative field such as Applied Mathematics, Computer Science, Operations Research, Industrial Engineering, or a related discipline.