Senior Data Analyst

Keka Technologies Private Limited; Pune District; On-site; INR 1,200,000 - 1,700,000; Full time

Job summary

Verdantas in Pune, India is seeking a Senior Data Analyst to translate complex data into actionable insights, with emphasis on governance, KPI definitions, and data validation. You will build analytics capabilities and dashboards to support business decisions.

The role requires expertise in SQL and BI tools (Tableau/Power BI/Looker), plus Python or R for analysis, and strong collaboration with cross-functional teams to ensure data integrity and scalable data solutions.

Qualifications

• Bachelor’s degree in computer science, engineering, or a related field.
• 4–10 years of experience in Data Analyst roles.
• Experience working in Agile / Scrum environments.

Responsibilities

• Develop analytics systems that translate complex data into actionable insights.
• Analyze complex datasets to identify trends and opportunities for growth.
• Create reports based on data mining, analysis, and visualization to support decisions.
• Evaluate and improve internal data handling to ensure data integrity and efficiency.
• Collaborate with managers and users to gather requirements and ensure data solutions meet business needs.
• Design and implement data acquisition processes for scalability and performance.
• Create interactive data visualizations from multiple sources to help decision-makers track KPIs.
• Continuously analyze data to provide strategic recommendations for productivity and efficiency.

Skills

SQL

Python

R

Data governance

Data validation

Stakeholder management

Analytical thinking

Education

Bachelor's degree in computer science, engineering, or a related field

Tools

Tableau

Power BI

Looker

Job description

We at Verdantas, looking for Senior Data Analyst to join our team.

The Senior Data Analyst will be responsible for translating complex data into actionable insights, with a strong focus on data governance, including establishing clear KPI definitions, standardizing business logic, and performing rigorous data validation to ensure reliable metrics for decision-making.

Key Responsibilities:

• Develop, implement, and maintain advanced analytics systems that simplify complex data problems into actionable insights.
• Analyze complex datasets to identify trends, opportunities for growth, and areas for improvement.
• Create comprehensive reports based on data mining, analysis, and visualization to support business decisions.
• Evaluate and improve internal data handling systems to ensure data integrity, efficiency, and accuracy.
• Collaborate with managers and users to gather requirements, ensure data solutions meet business needs, and maintain strong relationships across departments.
• Design and implement data acquisition processes, ensuring scalability and performance optimization of the solution.
• Create and maintain interactive data visualizations from multiple data sources, helping decision-makers understand key metrics and KPIs.
• Continuously analyze data to answer key questions and provide strategic recommendations to improve productivity and efficiency.

Education & Experience:

• Bachelor’s degree in computer science, Engineering, or a related field.
• 4–10 years of experience in Data Analyst experience.
• Experience working in Agile / Scrum environments.

Technical Stack:

• Advanced proficiency in SQL for complex data extraction and transformation.
• Experience with BI tools like Tableau, Power BI, or Looker.
• Working knowledge of scripting languages like Python or R for statistical analysis and automation.

Analytical Skills:

Deep understanding of data modeling, schema design (star/snowflake schemas), and statistical hypothesis testing.

Communication:

Exceptional stakeholder management skills with a proven track record of translating complex metric logic into plain business

Soft Skills

• Strong analytical and problem‑solving skills
• High attention to detail and quality mindset
• Clear communication skills for working with cross‑functional teams
• Ability to manage multiple priorities in a fast‑paced environment