2 Starburst Jobs

Your specific responsibilities will include: Design and implementation of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education: B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field. Required experience: 8+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets) High proficiency in SQL, Python and AWS Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.) Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders Experience in analytics use cases of pharmaceutical products and vaccines Experience in market analytics and related use cases Preferred Experience: Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines Experience with Agile ways of working, leading or working as part of scrum teams Certifications in AWS and/or modern data technologies Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors Experience in building data models for data science andvisualization/reportingproducts, in collaboration with data scientists, report developers and business stakeholders Experience with data visualization technologies (e.g, PowerBI)

Role: BI Analytics Specialist Location: Remote role (Should work in EST hours, Night Shift in India) Work time: 6:00 PM to 3:30 AM IST Duration: 6 Months with possible extension Key Responsibilities: ThoughtSpot Architecture and Implementation: Design and implement ThoughtSpot solutions that meet business requirements. Configure and optimize ThoughtSpot environments for performance and scalability. Develop and maintain data models within ThoughtSpot. Business Intelligence and Analytics: Gather and analyze business requirements to create BI solutions. Design and develop interactive dashboards, reports, and data visualizations. Conduct data analysis to support business decision-making processes. Data Integration and Management: Integrate ThoughtSpot with various data sources, including Databricks, Starburst and AWS. Ensure data quality, integrity, and security within the BI solutions. Collaborate with data engineering teams to establish ETL processes. AWS: Leverage AWS services (e.g., S3, Redshift, Glue, Lambda) for data storage, processing, and analytics. Design and implement scalable data architectures on AWS. Ensure security and compliance of data solutions on AWS. Collaboration and Communication: Work closely with business stakeholders, data engineers, and data scientists to understand requirements and deliver solutions. Provide training and support to end-users on ThoughtSpot and BI tools. Stay updated with the latest industry trends and best practices in BI, ThoughtSpot, Starburst, Databricks, and AWS. Qualifications: Bachelors degree in computer science, Information Technology, Data Science, or a related field. Master’s degree preferred. 5+ years of experience in business intelligence and data analytics. Proven experience with ThoughtSpot , including architecture, implementation, and administration. Strong proficiency in Starburst and Databricks for data processing and analytics. Extensive experience with AWS services related to data analytics (S3, Redshift, Glue, Lambda, etc.). Excellent SQL skills and experience with ETL tools and processes. Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of a team in a fast-paced environment. Knowledge of data governance and security best practices. What You Are Expected to Do: ThoughtSpot environment maintenance – Clean-up, Coordination with TS & Starburst teams, Tracking the system health. Creation of Run books, SOPs, migration documents. Maintaining the connections & the other Admin objects (Tables, Views, etc.). Assisting in Environment migrations & peer review. AD Groups SyncUP Python script enhancements – Script split-up, Nested AD Group SyncUP and other improvements. Preferred Skills: Experience with other BI tools (e.g., Tableau, Power BI). Knowledge of Python for data analysis.