Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Research Modernization - Business Intelligence Developer
- Location
- Mumbai
- Type
- Full time
- Posted
- 6D AGO
About the role
We are seeking a detail-oriented Business Intelligence Developer to design, build and maintain interactive dashboards and reporting solutions that drive data-informed decision-making across the organization.As a Business Intelligence Developer within the Business Intelligence team, you will be responsible for designing, building and maintaining interactive dashboards and reporting solutions that support data-informed decision-making. You will leverage SQL/RDBMS expertise, Amazon QuickSight and Python for data transformation to deliver reliable and scalable BI solutions. You will partner with stakeholders to translate requirements into actionable BI solutions. You will also work with engineering teams to ensure data availability, quality and performance.
Job Responsibilities
- Design, develop, and maintain interactive dashboards and visualizations using Amazon QuickSight.
- Write and optimize complex SQL queries involving multiple joins and large datasets across RDBMS platforms.
- Use Python to transform, clean, and manipulate data for reporting and analytics purposes.
- Partner with stakeholders to gather requirements and translate them into actionable BI solutions.
- Ensure data accuracy, consistency, and performance across dashboards and underlying data pipelines.
- Monitor and troubleshoot dashboard/report performance issues, optimizing queries and data models as needed.
- Document data sources, query logic, and dashboard specifications for maintainability.
Collaborate with engineering teams to ensure data availability and quality for BI use cases.
- 1 year of minimum experience in building Business Intelligence applications
- Strong knowledge of RDBMS (e.g., MySQL, PostgreSQL, Oracle, SQL Server) with demonstrated ability to write complex queries involving large volumes of data and multiple joins.
- Proficiency in Python for data transformation, manipulation, and automation (e.g., pandas, NumPy).
- Solid understanding of data modeling and BI best practices.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to communicate technical findings clearly to non-technical stakeholders.
Preferred Qualifications
- Experience with AWS data services (e.g., Redshift, Athena, S3, Glue).
- Familiarity with data warehousing concepts and ETL pipelines.
- Proven experience building dashboards and reports in Amazon QuickSight (or similar BI tools, with QuickSight preferred).
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