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.

1. 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.

1. 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.

1. 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.

1. 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
- Robust 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.

📌 Senior Data Analyst (India)
🏢 CareerXperts Consulting
📍 India