Lead Data Analyst

Omnicom Media; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Omnicom Media’s OGS unit seeks a Lead Data Analyst to provide technical leadership across analytical engagements and drive client-ready, scalable data solutions. You will mentor analysts, define governance, and promote automation to improve delivery quality, weaving insights into strategic business decisions.

The role emphasizes collaboration with stakeholders, advanced analytics, and building reusable frameworks for marketing analytics across multiple projects.

Qualifications

• Bachelor's degree in a quantitative field.
• 8+ years of working experience in analytics or data science.
• Strong SQL and Python skills with data governance experience.

Responsibilities

• Provide analytical leadership across complex engagements and translate requests into scalable data solutions.
• Oversee quality and consistency of analytical deliverables and mentor analysts.
• Define methodologies, reporting standards and governance for projects.
• Present insights with storytelling to influence client decisions.
• Drive automation and improvement across analytics delivery and tooling.

Skills

SQL

Python

Excel

Power BI

Tableau

Statistics

Governance

Mentoring

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or another quantitative discipline

Tools

Power BI

Tableau

Excel

Job description

We are OGS—Omnicom's Integrated Solutions Engine that brings together a global talent community and connected capabilities in data, creative, media, commerce, and technology to build adaptive, future-ready solutions.

We are redefining the global capability center - not as an offshoring hub, but as a true inside edge. OGS is the place where the future is tested, built, and scaled for the world’s most ambitious agencies and clients.

With over 4300+ talented professionals in India, we are proud to be a diverse, inclusive, and collaborative community that thrives on innovation and excellence. Our teams work with some of the world’s most iconic brands, helping them move faster and achieve more—everywhere. We are growing rapidly and looking for passionate individuals to be part of this journey.

JOB PURPOSE

The Lead Data Analyst is responsible for providing technical leadership across analytical engagements while driving high-quality, client-ready deliverables. The role combines advanced analytical expertise, stakeholder partnership and team leadership to translate complex business challenges into scalable data-driven solutions. The Lead Data Analyst establishes analytical best practices, mentors team members, and champions continuous improvement to strengthen delivery excellence across projects.

YOUR ROLE & RESPONSIBILITIES

Analytical Leadership

• Lead complex analytical engagements.
• Define analytical approaches, methodologies and success measures for business and marketing initiatives.
• Translate complex business questions into scalable analytical solutions that drive decision making.

Delivery Excellence

• Oversee the quality, accuracy and consistency of analytical deliverables across projects.
• Review analytical outputs and provide technical guidance to ensure client-ready delivery.
• Establish best practices for reporting, visualization, documentation and analytical governance.
• Present complex analytical findings and influence business decisions through compelling storytelling.
• Mentor and coach analysts to strengthen technical capability and business acumen.
• Promote knowledge sharing, collaboration and analytical best practices across the team.
• Support capability development through coaching, feedback and technical leadership.
• Drive automation, standardization and process improvement initiatives that improve delivery efficiency and quality.
• Evaluate and adopt emerging analytical tools, AI capabilities and technologies that enhance business value.
• Contribute to the evolution of analytical frameworks, governance standards and reusable assets.

REQUIRED SKILLS

• Expert SQL skills for complex data extraction, transformation and optimization.
• Advanced proficiency in Python and Excel for analytical automation and data analysis.
• Strong experience with reporting and visualization platforms (Power BI, Tableau or similar).
• Strong understanding of statistical analysis, experimentation and marketing analytics.
• Experience designing scalable analytical solutions and implementing governance best practices.
• Demonstrated ability to mentor analysts and lead technical delivery across multiple projects.

PREFERRED QUALIFICATIONS

Academic Background

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or another quantitative discipline.

Working experience: 8+ years

Languages

Intermediate English proficiency (B2 reading, writing and conversation).

SKILLS / COMPETENCIES

Leadership & Communication

• Influences stakeholders through clear communication and data-driven recommendations.
• Communicates effectively with technical teams, business stakeholders and leadership.
• Builds trusted relationships through credibility, collaboration and professionalism.

Strategic & Analytical Thinking

• Defines analytical approaches for complex and ambiguous business problems.
• Connects analytical outcomes to strategic business objectives and measurable impact.
• Balances technical rigor with commercial and client priorities.

Technical Leadership

• Provides technical direction and establishes analytical best practices across projects.
• Ensures analytical quality, governance and consistency in delivery.
• Evaluates and promotes modern analytical techniques, tools and automation.

Business & Client Partnership

• Acts as a trusted advisor to stakeholders by translating business needs into analytical solutions.
• Identifies opportunities to improve customer experience, campaign performance and business outcomes.
• Coaches and develops analysts through mentoring, feedback and knowledge sharing.
• Drives continuous improvement through automation, standardization and innovation.

NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization