Associate Manager

Adani Group; Ahmedabad District; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Adani Group is seeking a data analytics professional to analyze large-scale operational datasets and identify performance gaps. You will develop dashboards and KPI tracking tools using Power BI or Tableau, and perform data extraction, transformation, and analysis with SQL and Python to support strategic decisions.

The role involves forecasting, statistical analysis, and performance reporting, plus collaboration with operations, finance, sales, and support teams to implement data-driven

Qualifications

• Must have strong data analysis and visualization capabilities.
• Experience building dashboards and KPI tracking tools.
• Proficient in SQL, Python, and statistical techniques.

Responsibilities

• Analyze large-scale datasets to identify trends and opportunities.
• Develop and maintain dashboards, reports, and KPI tracking tools.
• Perform data extraction, transformation, and analysis using SQL and Python.
• Support decision-making through forecasting and performance reporting.
• Monitor performance and identify root causes of gaps.
• Conduct customer, market, and competitor analytics to drive growth.
• Design and execute A/B tests to evaluate hypotheses.
• Automate reporting processes to improve efficiency.
• Collaborate with cross-functional teams to implement data-driven solutions.
• Develop predictive models and analytical frameworks to support objectives.
• Present findings to stakeholders through reports and presentations.

Skills

Data analysis

Dashboard development

Statistical analysis

Forecasting

A/B testing

Education

BE/BTech (CS/IT/EE/EC/Data Science)

Master's in Analytics/Data Science/Management

Tools

Power BI

Tableau

SQL

Python

Job description

Responsibilities

• Analyze large-scale operational and business datasets to identify trends, performance gaps, and improvement opportunities.
• Develop and maintain dashboards, reports, and KPI tracking tools using Power BI, Tableau, or similar visualization platforms.
• Perform data extraction, transformation, and analysis using SQL and Python.
• Support business decision-making through statistical analysis, forecasting, and performance reporting.
• Monitor operational performance and identify root causes of underperformance.
• Conduct customer, market, and competitor analytics to support business growth initiatives.
• Design and execute A/B testing and experimental analysis to evaluate business hypotheses.
• Automate reporting and analytics processes to improve efficiency and accuracy.
• Collaborate with operations, engineering, finance, sales, and customer support teams to implement data-driven solutions.
• Develop predictive models and analytical frameworks to support business objectives.
• Present findings and recommendations to stakeholders through reports and presentations.

Key Responsibilities

• Analyze large-scale operational and business datasets to identify trends, performance gaps, and improvement opportunities.
• Develop and maintain dashboards, reports, and KPI tracking tools using Power BI, Tableau, or similar visualization platforms.
• Perform data extraction, transformation, and analysis using SQL and Python.
• Support business decision-making through statistical analysis, forecasting, and performance reporting.
• Monitor operational performance and identify root causes of underperformance.
• Conduct customer, market, and competitor analytics to support business growth initiatives.
• Design and execute A/B testing and experimental analysis to evaluate business hypotheses.
• Automate reporting and analytics processes to improve efficiency and accuracy.
• Collaborate with operations, engineering, finance, sales, and customer support teams to implement data-driven solutions.
• Develop predictive models and analytical frameworks to support business objectives.
• Present findings and recommendations to stakeholders through reports and presentations.

Qualifications

• B.E./B.Tech in Computer Science, Information Technology, Electrical, Electronics, Data Science, or related discipline
• Master's degree in Analytics, Data Science, Management, or equivalent preferred