Lead Data Analyst

About the Company

Our client is a MNC with substantial Presence in India. Not just a place to work, but a place to build a career for life, with constant opportunities for growth, innovation, and impact. Driven by curiosity, inventiveness, and entrepreneurial spirit, the company continues to transform the industry while delivering excellence for customers, employees, and the planet.

Consistently ranked among the worlds most admired and ethical companies, recognized for its strong values and culture of care.

About the Role: Lead Data Analyst

• Proven experience in the mobility industry and/or consulting
• Demonstrated expertise in storyboarding
• Broad working knowledge across key work streams (BI, DE, DS), with hands-on proficiency in at least one

Location : Bengaluru

Responsibilities

• Lead and implement advanced analytical processes through data/text mining, model development, and prediction to enable informed business decisions.
• Apply sound analytical expertise to examine structured and unstructured data from multiple disparate sources to provide insights and recommend high-quality solutions to leadership across levels.
• Plan initiatives from concept to execution with minimal supervision and communicate results to a broad range of audiences.
• Develop a superior understanding of Customer Experience touchpoints through internal and external sources to creatively solve business problems and lead the team from concept to execution of projects.
• Typically uses data, statistical and quantitative analysis, modeling, and fact-based management to drive decision making.
• Provides regular expert consultative advice to senior leadership.
• Effectively shares best practices and fosters knowledge sharing across teams.
• Provides cross-team and cross-org consultation and supports communities of practice excellence.

Qualifications

• 8+ years of relevant experience in analytics/consulting/informatics and statistics.
• Education MBA/Masters in Information Systems, Computer Science, or a quantitative discipline such as mathematics, engineering from tier 1/2 institutes.

Required Skills

• Key Skills - Data and Business Analytics, Advanced Statistics and Predictive Modelling, Stakeholder Management, Project Management.
• Experience in customer segmentation analytics, campaign analytics, etc. is a plus.
• Exposure to predictive analytics, ML/AI techniques is an added advantage.
• Tools - SQL, Python, Databricks, Data Visualization, Power BI.

Preferred Skills

• Good to have Azure Analysis services, DS/ML experience.