Senior Data Analyst

Senior Data Analyst

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.
• 5–8+ years of experience in data analytics roles.
• Experience handling large structured and unstructured datasets.
• Exposure to predictive analytics or advanced modeling preferred.