Printo | Data Analyst | bangalore
7 days ago
Position: Data Analyst
Role Type: Full time, Permanent, On-Site. (No Remote/Hybrid)
Location: Bengaluru, Karnataka
Office Location: Printo Bomanahalli office - Printo Support Office
Compensation: ₹5,00,000 – ₹8,00,000 P.A. depending on experience
Experience: 2-4 Years
Openings: 1
About Printo Document Services Pvt. Ltd. Printo is India’s largest Print, Gifting and Merchandising chain, operating with 30 stores across Bengaluru, Chennai, Hyderabad, Pune, Delhi, and Gurgaon. Our online presence caters to businesses and individuals alike. We're currently in an exciting phase of expansion, aiming to become a ₹1000 crore company in the next three years with a target of going for IPO by Nov 2025.
Position Overview:
We are seeking a skilled Data Analyst to join our Marketing & Growth team. The ideal candidate will have a passion for data, experience with analytics tools, and a strong ability to derive actionable insights to drive business growth. Candidate will collaborate closely with cross-functional teams to optimize sales and marketing campaigns, improve customer retention and identify customer growth opportunities.
Key Responsibilities:
Provide actionable insights from marketing campaigns to optimize ROI and effectiveness
Analyze customer behavior and trends using segmentation techniques to improve retention and lifetime value
Design and deliver compelling presentations using MS PowerPoint/Google Slides to effectively communicate key insights and findings to stakeholders
Develop dashboards and reports to track KPIs for the sales, marketing and growth initiatives.
Collaborate with teams to design and conduct A/B tests for campaigns and product changes.
Identify patterns and anomalies in large datasets to help arrive at strategic decisions.
Support data-driven decision-making by presenting findings in a clear, actionable manner
Key Skills and Qualifications:
2–4 years of experience in a data analytics role, preferably in a marketing or growth team
Proficiency in SQL is a must and experience with data visualization tools (e.g., Tableau, Power BI, or Google Data Studio) is a strong plus
Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or Engineering)
Knowledge of programming languages such as Python or R for data analysis
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