Senior Data Analyst

Responsibilities:

• Develop and maintain robust dashboards and data visualizations (using tools like Power BI or Tableau) to track key performance indicators, customer journey metrics, service center performance, and marketing campaign effectiveness. Ensure that critical metrics are clearly communicated to stakeholders and updated in real-time for strategic decision support.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Conduct in-depth analysis across various data sources – CRM systems (e.g. LeadSquared), mobile app analytics (PETROMINit!), website traffic, social media engagement metrics, sales performance reports, and other internal tools. Identify trends, patterns, and anomalies to uncover actionable insights that drive business growth.
• Analyze customer data to generate deep insights that support targeted marketing campaigns, personalized customer outreach, and loyalty program enhancements. Use analytics (e.g. cohort analysis, segmentation) to inform campaign design and customer retention strategies, ultimately enhancing customer lifetime value and satisfaction.
• Manage and streamline data workflows and integrations across platforms such as LeadSquared CRM, WATI (WhatsApp engagement platform), the PETROMINit! mobile app, and other tools. Ensure data from these sources is accurately captured, consolidated, and fed into our business reporting systems, maintaining data quality and consistency.
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Proficiency with data analysis tools and languages is a must – including SQL (database querying and management), Python (data manipulation/analysis or scripting), and data visualization platforms like Power BI or Tableau. Advanced skills in MS Excel and familiarity with Google Analytics (or similar web/app analytics tools) are also required.

Requirements/ Skills:

• Bachelor’s degree in Data Science, Statistics, or Business Analytics is preferred.
• 3–5 years of hands-on experience in data analytics or business intelligence, preferably in the automotive aftersales, retail services, or related sectors. Demonstrated ability to handle both operational and marketing datasets is ideal.
• Excellent communication skills in English, both written and verbal, with the ability to present data findings in a clear and compelling manner. Fluency in Tamil is a plus (though not mandatory), as it can aid in local market understanding and collaboration.

Job Type: Full-time

Pay: ₹50,000.00 - ₹70,000.00 per month

Benefits:

• Cell phone reimbursement
• Health insurance
• Provident Fund

Ability to commute/relocate:

• Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)

Education:

• Bachelor's (Preferred)

Experience:

• 8years: 5 years (Required)

Location:

• Chennai, Tamil Nadu (Required)