Why This Role Stands Out
This hybrid Data Analyst role at IS3 offers a fantastic opportunity to hone your SQL and Power BI skills while making a tangible impact on business decisions through insightful data analysis and documentation. You'll thrive here if you possess strong analytical abilities, a knack for reverse engineering complex data systems, and a desire to collaborate with stakeholders to build robust data solutions. Apply now to join a dynamic team and grow your career in a reputable tech company.
Quick Overview
Job Description
We are seeking a detail-oriented Data Analyst to join our team. This role will be responsible for extracting, analyzing, and visualizing data to support business decision-making, as well as investigating and documenting existing data systems, reports, and processes.
Key Responsibilities
- Write and optimize SQL queries to extract, transform, and analyze data from relational databases
- Design, build, and maintain interactive dashboards and reports in Power BI
- Reverse engineer existing reports, dashboards, spreadsheets, and legacy SQL logic to understand and document underlying business rules, calculations, and data lineage
- Trace metrics and KPIs back to their source systems and transformation logic when documentation is missing or outdated
- Identify data quality issues, inconsistencies, or gaps in existing reporting processes and recommend improvements
- Partner with business stakeholders to understand reporting needs and translate them into data solutions
- Document data definitions, query logic, and dashboard architecture for future maintainability
- Support ad hoc data requests and analysis for various departments Required Qualifications
- Strong proficiency in SQL (joins, subqueries, window functions, query optimization)
- Hands-on experience building reports and dashboards in Power BI (DAX, Power Query, data modeling)
- Demonstrated ability to reverse engineer existing queries, reports, or systems
- Strong analytical and problem-solving skills with high attention to detail
- Ability to communicate technical findings clearly to non-technical stakeholders
Preferred Qualifications
- Experience with ETL processes and data warehousing concepts
- Familiarity with Excel (advanced formulas, pivot tables) as a complement to Power BI
- Experience working with legacy systems or undocumented reporting environments
- Exposure to Python or another scripting language for data analysis.
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