Business Data Analyst

Cross-Functional Collaboration: Collaborate closely with central marketing and operations teams to translate data findings into strategic recommendations. Present insights on customer behavior, campaign performance, and operational efficiency, helping teams optimize their strategies and initiatives based on data evidence.

Data Analysis Across Platforms: 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.

Curiosity: Demonstrate a strong desire to explore data and uncover insights.

Dashboard & KPI Development: 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.

Passion: Strong analytical thinking and problem-solving aptitude. A self-starter attitude with an impact-oriented mindset – eager to take initiative, work independently on multiple projects, and contribute to a fast-paced, fast-growing service brand

Data Workflow Management: 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.

Attention to detail: Maintain accuracy and thoroughness in data analysis and reporting.

Customer Insight Generation: 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.

Presentation skills: Effectively communicate data findings in a clear and engaging manner.

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.

Job Type: Full-time

Pay: ₹600,000.00 - ₹1,000,000.00 per year

Benefits:

• Cell phone reimbursement
• Health insurance
• Provident Fund
• Work from home

Ability to commute/relocate:

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

Experience:

• Cross-Functional Collaboration: 4 years (Preferred)
• Data Analysis Across Platforms: 5 years (Preferred)
• Dashboard & KPI Development: 5 years (Preferred)
• Data Workflow Managemen: 5 years (Preferred)
• Customer Insight Generation: 4 years (Preferred)
• Presentation skills: 3 years (Preferred)
• SQL: 4 years (Preferred)
• Python: 4 years (Preferred)
• Power BI or Tableau: 4 years (Preferred)
• Google Analytics 360: 5 years (Preferred)

Language:

• English (Preferred)

Location:

• Kotturpuram, Chennai, Tamil Nadu (Preferred)

Work Location: In person