We are hiring a Senior Data Analyst who can convert complex data into clear business direction. This role goes beyond reporting it is about identifying patterns, questioning assumptions, and translating insights into measurable outcomes.
The ideal candidate combines strong analytical depth with business acumen and communicates insights in a way that influences decisions at leadership levels.
Key Responsibilities
1. Data Analysis & Insights Generation
- Analyze large datasets to identify trends, correlations, and performance drivers.
- Build advanced dashboards and reports that provide actionable business insights.
- Conduct exploratory data analysis to uncover hidden opportunities and risks.
- Develop predictive and trend-based analytical models where required.
2. Business Collaboration
- Partner with cross-functional teams (Sales, Marketing, Product, Operations, Finance) to understand analytical needs.
- Translate business questions into structured analytical frameworks.
- Present findings to stakeholders with clear recommendations.
3. Reporting & Visualization
- Design and maintain BI dashboards using tools like Power BI, Tableau, or Looker.
- Automate recurring reports to improve efficiency and accuracy.
- Ensure clarity, simplicity, and decision-readiness in all visual outputs.
4. Data Governance & Quality
- Validate data accuracy and maintain data integrity across systems.
- Identify inconsistencies and implement corrective processes.
- Collaborate with data engineering teams to improve data pipelines.
5. Performance Monitoring
- Define and track key business metrics and KPIs.
- Conduct variance analysis and performance benchmarking.
- Provide structured monthly and quarterly analytical summaries.
Key Skills & Competencies
- Strong proficiency in SQL and advanced Excel
- Experience with Python or R for data analysis
- Expertise in BI tools (Power BI, Tableau, Looker, etc.)
- Strong statistical and analytical reasoning skills
- Ability to communicate complex insights clearly
- Business-oriented mindset with problem-solving capability
Qualifications
- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or related field.
- 58+ years of experience in data analytics roles.
- Experience handling large structured and unstructured datasets.
- Exposure to predictive analytics or advanced modeling preferred.
