Divisional Manager- Data Analysis

AboutTVS / Who are we?

TVS Motor Company is a reputed twoand three-wheeler manufacturer globally, championing progress throughSustainable Mobility with four state-of-the-art manufacturing facilities inHosur, Mysuru and Nalagarh in India and Karawang in Indonesia. Rooted in our100-year legacy of Trust, Value, and Passion for Customers and Exactness, wetake pride in making internationally aspirational products of the highestquality through innovative and sustainable processes. We are the onlytwo-wheeler company to have received the prestigious Deming Prize. Our productslead in their respective categories in the J.D. Power IQS and APEAL surveys. Wehave been ranked No. 1 Company in /the J.D. Power Customer Service SatisfactionSurvey for consecutive four years. Our group company Norton Motorcycles, basedin the United Kingdom, is one of the most emotive motorcycle brands in theworld. Our subsidiaries in the personal e-mobility space, Swiss E-MobilityGroup (SEMG) and EGO Movement have a leading position in the e-bike market inSwitzerland. TVS Motor Company endeavors to deliver the most superior customerexperience across 80 countries in which we operate.

Job Title / Role: Divisional Manager- Data analyst

Location: Chennai, Tamil Nadu

Education Qualification: Bachelor's / Mastersdegree in a relevant field (Mathematics, Statistics, Economics, or ComputerScience)

Required Experience: 14 + Years

RoleDescription:

• Lead and manage a team of data analysts and BI developers, providing guidance, direction, and support in their day- to-day activities.
• Develop and implement a comprehensive analytics strategy and problem solving framework to support the organization's business objectives.
• Guide the team to analyze data from various sources, including internal systems, third-party tools, and market research (as necessary), to identify trends, patterns, and opportunities.
• Collaborate with business stakeholders to define key performance indicators (KPIs) and develop dashboards and reports to track and measure performance against these metrics.
• Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.
• Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations.
• Recommend business improvement areas, product/feature development or further analysis requirements basis insights from various analyses.
• Drive Design of Experiments methodology for all improvements.
• Maintain a critical lens on BI requests from stakeholders to ensure justification and prioritization basis business value.
• Maintain regular cadence to review adoption and usage of existing BI reports and cull unused reports.
• Stay updated with the latest industry trends and advancements in analytics tools and technologies, and evaluate their potential to improve our data analysis and BI capabilities.
• Lead the organization towards self-serve BI and Gen AI based auto-insight generation.
• Work with Data COE and Digital Defense COE to drive data governance initiatives, data quality standards, ensuring data accuracy, and implementing data security measures.
• Collaborate with Tech COE to ensure data infrastructure, systems, and tools are optimized to support efficient data collection, storage, and analysis.
• Foster a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement and innovation.

Required Qualifications:

• Bachelor's degree in a relevant field such as Mathematics, Statistics, Economics, or Computer Science. A Master's degree is preferred.
• Minimum of 14 years of experience in analytics or a related field, with at least 5 years in a leadership or managerial role.
• Proven track record of delivering impactful insights and recommendations based on data analysis.
• Demonstrated experience in developing and implementing analytics strategies in a corporate environment.
• Strong understanding of data governance principles and practices.
• Familiarity with data visualization best practices and tools.
• Experience working with large datasets and using statistical analysis techniques.
• Knowledge of programming languages such as Python or R is mandatory.
• Certification in relevant analytics tools or methodologies is a plus.
• Experience in digital analytics (Google Analytics) is a plus.
• Experience in A/B testing with test control methodologies is a plus.

Functionalcompetency:

• Strategic Thinking
• Detail Oriented
• Process improvement

Behavioral competency:

• Business Acumen
• People Management
• Interpersonal relationship