Assistant Business Intelligence Manager

Tech Mahindra; Mumbai Suburban; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tech Mahindra in Goregaon, Mumbai, is seeking an Assistant Manager - Business Intelligence to bridge business needs with analytics execution. You will lead a small BI team, guide data-driven reporting, and partner with stakeholders to deliver insights.

The role emphasizes hands-on analytics, SQL proficiency, and effective leadership in a fast-paced, data-driven environment. 5-day work week and on-site collaboration in Mumbai.

Qualifications

• Bachelor's degree in a relevant field is required.
• Experience translating business requirements into analytical tasks is essential.
• Hands-on data analysis with BI reporting experience is expected.

Responsibilities

• Collaborate with stakeholders to understand reporting requirements and priorities.
• Translate requirements into analytical tasks and guide the team.
• Lead and mentor a team of 2–5 Data Analysts and ensure high-quality delivery.
• Develop and optimize complex SQL queries for reporting and data extraction.
• Monitor timelines, manage stakeholder expectations, and provide updates.

Skills

Advanced SQL

Stakeholder mgmt

Team leadership

Data analysis

Python

BI tools

Education

Bachelor's degree in CS/Engineering/Statistics/Math/IT

Tools

Power BI

Tableau

Job description

Assistant Manager - Business Intelligence

Location: Goregaon, Mumbai

Shift: 1:00 PM - 10:30 PM / 2:00 PM - 11:30 PM

Working Days: 5 Days a Week

Role Overview

We are looking for an experienced Business Intelligence professional to bridge the gap between business stakeholders and the analytics team. The role requires a strong blend of technical expertise, stakeholder management, and people leadership to drive data-backed decision-making across the organization.

Key Responsibilities

• Collaborate with business stakeholders to understand reporting and analytics requirements, define project priorities, and ensure successful delivery of solutions.
• Translate business requirements into clear analytical tasks and guide the team in execution.
• Lead and mentor a team of 2-5 Data Analysts, ensuring high-quality deliverables and continuous skill development.
• Drive the design, development, and optimization of complex SQL queries for reporting, analysis, and data extraction.
• Monitor project timelines, manage stakeholder expectations, and provide regular updates on ongoing initiatives.
• Identify trends, opportunities, and business insights through data analysis and present actionable recommendations.
• Ensure data accuracy, consistency, and adherence to reporting standards.
• Support process improvement and reporting automation initiatives to enhance operational efficiency.
• Partner with cross-functional teams to enable data-driven business decisions.

Required Skills & Experience

• 4+ years of hands-on experience in Advanced SQL, including complex joins, CTEs, subqueries, window functions, query optimization, and performance tuning.
• Proven experience in stakeholder management, including requirement gathering, prioritization, and solution delivery.
• Team handling experience managing 2-5 Data Analysts.
• Strong analytical, problem-solving, and communication skills.
• Experience working in a fast-paced, data-driven environment.
• Ability to manage multiple priorities while ensuring timely project delivery.

Preferred Skills

• Hands-on experience with Python for data analysis, automation, or reporting.
• Exposure to BI and visualization tools such as Power BI, Tableau, or similar platforms.
• Experience driving automation and process improvement initiatives.

Qualification

• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Information Technology, or a related discipline.
• Relevant certifications in Analytics, BI, SQL, or Data Management will be an added advantage.

Ideal Candidate

A proactive leader who can effectively engage with stakeholders, convert business challenges into analytical solutions, and lead a small BI team while remaining technically hands-on with data and reporting.