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Senior Business Intelligence Analyst/Data Analyst
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingGather requirements for pricing data marts, data flows, extracts and reports
Design and maintain pricing-specific ETL processes into a consolidated data mart
Build interactive dashboards and visualizations in Python, SQL, Tableau and Power BI
Implement data validation and quality control measures with developers
Train end-users on data warehousing systems and tools
From the employer’s posting
Collect and organize requirements for business data marts, data processing streams, extracts, and reports
Design, implement, and maintain pricing-specific ETL processes from various sources to a consolidated data mart
Create interactive data visualizations and dashboards using advanced analytics tools such as Python, SQL, Tableau, and Power BI
Implement data mart, ETL, data validation, and quality control measures in collaboration with data and database developers
Provide ongoing support and training to end-users on data warehousing systems and tools
Tools in this posting
- C#
- Python
- SQL
- Excel
- Power BI
- Tableau
Source — Tool mentions in context
We are seeking a highly proficient Senior Business Intelligence Analyst/Data Analyst to join our team. The successful candidate will have exceptional skills in analyzing and interpreting complex data, enabling the identification of valuable insights and the optimization of business operations. Responsibilities Collect and organize requirements for business data marts, data processing streams, extracts, and reports to support company’s new pricing platform implementation effort Identify requirements for data extraction, transformation, and loading processes through collaboration with cross-functional teams Design, implement, and maintain pricing-specific ETL processes from various sources to a consolidated data mart used for analytical purposes Create interactive data visualizations and dashboards using advanced analytics tools such as Python, SQL, Tableau, and Power BI to assist management in the decision-making process Implement data mart, ETL, data validation, and quality control measures in collaboration with data and database developers Provide ongoing support and training to end-users on data warehousing systems and tools Conduct ad-hoc data analysis projects as required, providing timely and actionable insights to support business operations Requirements Minimum of 5 years of experience in data warehousing, business intelligence, and statistical analysis within the insurance sector Expertise in C#, Python, and other relevant languages for data analysis Advanced skills in SQL, Microstrategy Tableau, Power BI, Excel, and other data visualization and analysis tools Experience with Salesforce Tableau and a solid understanding of insurance and actuarial data processing Strong business requirements solicitation skills and ample experience in interpersonal and communication skills to explain technical concepts to non-technical stakeholders Expertise in designing, implementing, and maintaining insurance-specific data warehouses Strong knowledge of actuarial data requirements and processing techniques, supporting actuarial teams with accurate and timely data B2+ English level proficiency Nice to have Solid understanding of Microstrategy and its application in the insurance industry
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20263 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
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About the role
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 description
We are seeking a highly proficient Senior Business Intelligence Analyst/Data Analyst to join our team. The successful candidate will have exceptional skills in analyzing and interpreting complex data, enabling the identification of valuable insights and the optimization of business operations. Responsibilities Collect and organize requirements for business data marts, data processing streams, extracts, and reports to support company’s new pricing platform implementation effort Identify requirements for data extraction, transformation, and loading processes through collaboration with cross-functional teams Design, implement, and maintain pricing-specific ETL processes from various sources to a consolidated data mart used for analytical purposes Create interactive data visualizations and dashboards using advanced analytics tools such as Python, SQL, Tableau, and Power BI to assist management in the decision-making process Implement data mart, ETL, data validation, and quality control measures in collaboration with data and database developers Provide ongoing support and training to end-users on data warehousing systems and tools Conduct ad-hoc data analysis projects as required, providing timely and actionable insights to support business operations Requirements Minimum of 5 years of experience in data warehousing, business intelligence, and statistical analysis within the insurance sector Expertise in C#, Python, and other relevant languages for data analysis Advanced skills in SQL, Microstrategy Tableau, Power BI, Excel, and other data visualization and analysis tools Experience with Salesforce Tableau and a solid understanding of insurance and actuarial data processing Strong business requirements solicitation skills and ample experience in interpersonal and communication skills to explain technical concepts to non-technical stakeholders Expertise in designing, implementing, and maintaining insurance-specific data warehouses Strong knowledge of actuarial data requirements and processing techniques, supporting actuarial teams with accurate and timely data B2+ English level proficiency Nice to have Solid understanding of Microstrategy and its application in the insurance industry
Source details
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