Job Description

Data Analysis Across Platforms:

Conduct in-depth analysis across various data sources - CRM systems (e.g. LeadSquared), mobile app analytics (PETROMIN), 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.

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.

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.

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.

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.

Educational requirements and professional certificates - Bachelor's degree in Data Science, Statistics, or Business Analytics is

preferred

.

Experience & Skills : 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.

Languages : 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: ?600,000.00 - ?1,000,000.00 per year

Benefits:

Cell phone reimbursement Health insurance Provident Fund Work from home
Work Location: In person