Mumbai, Maharashtra, India
Actively hiring, first seen by us 5 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design, develop and maintain interactive dashboards in Amazon QuickSight
Write and optimize complex SQL queries across large datasets and multiple joins
Use Python to transform, clean and manipulate data for reporting
Gather stakeholder requirements and turn them into BI solutions
Troubleshoot dashboard performance and tune queries and data models
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.
Monitor and troubleshoot dashboard/report performance issues, optimizing queries and data models as needed.
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).
Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 5
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At JPMorgan Chase, jobs usually come down by about day 15.
From 13,609 similar postings that came down, and 961 of JPMorgan Chase’s. Coming down is not always a hire.
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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
- 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.
- 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.
- 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.
- 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).
Preferred Qualifications - Experience with AWS data services (e.g., Redshift, Athena, S3, Glue). - Familiarity with data warehousing concepts and ETL pipelines.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job Responsibilities
Collaborate with engineering teams to ensure data availability and quality for BI use cases.
Preferred Qualifications
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Mumbai, Maharashtra, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.