As a Data Analyst, you will be responsible for transforming raw data into meaningful insights that support strategic decision-making across the organization. You’ll design dashboards, automate reports, and conduct data analysis that enhances operational efficiency, supports financial accuracy, and improves business outcomes. Strong SQL and Python skills are essential, as well as the ability to communicate findings clearly to both technical and non-technical audiences
Key Responsibilities:
- Design, build, and maintain analytical dashboards using tools such as Spotfire, Power BI, or Tableau.
- Develop SQL and Python-based ETL pipelines to automate and streamline data collection and transformation.
- Perform data reconciliation and ensure accuracy in financial and operational datasets.
- Generate actionable reports that support leadership in strategic planning and performance monitoring.
- Collaborate cross-functionally with finance, operations, and IT teams to identify data needs and opportunities for automation.
- Translate complex data sets into business-friendly visualizations and reports.
Preferred Skills:
- SQL, PL/pgSQL, Python, Spotfire, Excel
- Strong analytical and critical thinking
- Experience with financial datasets and regulatory compliance
- Data governance and process automation
- Attention to detail and results-oriented mindset.