- Role: Data Analyst Junior Manager
- Location: Noida, Uttar Pradesh
- Company: Paytm
- Salary: Not Disclosed
- Qualifications: Any Graduate or Postgraduate
- Experience: 4-6 years
- Employment Type: Full Time, Permanent
About Paytm:
Paytm, India’s major digital bills and financial services enterprise, has been pivotal in revolutionizing the way consumers and merchants interact with virtual monetary offerings. Offering a wide array of services starting from application bills and money transfers to extra specialized services like Paytm Wallet, Paytm UPI, and Paytm Payments Bank Net banking, the organization has carved a spot for itself in the virtual economic system. For traders, Paytm offers revolutionary payment answers together with Soundbox, EDC, QR code-based payments, and the Paytm Mini App Save, efficiently integrating more than one monetary service on a single platform.
These good-sized surroundings additionally permit Paytm to provide credit score services like merchant loans, non-public loans, and Buy Now, Pay Later (BNPL) schemes, subsidized through its economic partners. The employer’s undertaking is to empower clients and businesses alike, fostering seamless virtual enjoyment across its platform.
About the Role:
The position of Data Analyst Junior Manager Paytm is essential for using enterprise performance through facts-pushed insights and guidelines. This function is closely targeted to statistical analysis, business intelligence (BI) reporting, and predictive modeling to understand diverse business dynamics, which include patron life cycles, retention charges, and advertising return on investments (ROIs).
Responsibilities:
- End-to-End Insight Generation: Collaborating intently with commercial enterprise owners to generate insights for one of the business function areas. This involves a complete know-how of business requirements and translating them into statistics insights that pressure strategic decisions.
- Predictive Modeling: Develop predictive models to research customer behaviors, which include retention, churn prediction, and pass-sell conduct. These models help in knowledge purchaser segments and optimizing advertising campaigns.
- BI Dashboard Creation: Building interactive BI dashboards and automated reviews to offer business leaders actual-time records insights. This helps informed decision-making throughout diverse degrees of the agency.
- Customer Segmentation: Employing superior patron segmentation techniques to assist the Growth and Marketing groups. This enables tailoring marketing efforts more successfully, thereby enhancing campaign efficiency and consumer increase metrics.
- Data Analytics Standardization: Coordinating with groups like Product, Marketing, and Operations to standardize information analytics techniques across the business enterprise. This ensures a regular method of data evaluation and reporting.
- Data Pipelines Management: Working intently with the Data Warehouse and Product teams to manage facts ingestion and set up sturdy facts pipelines. This helps seamless facts access and supports diverse analytics and modeling projects.
- Ad-Hoc Analysis and Deep Dives: Conduct periodic advert-hoc analysis primarily based on commercial enterprise priorities. This includes deep diving into information to discover new possibilities and addressing gaps in present-day commercial enterprise strategies.
Required Skills and Experience:
- Experience: 4-6 years of hands-on experience in information analysis, with a strong consciousness of statistical strategies, records modeling, and business intelligence gear.
- Technical Skills: Proficiency in SQL is crucial, as it is the number one device for record extraction and manipulation. Additional technical abilities in DB query writing and code evaluation are particularly valued.
- Analytical Abilities: The role demands strong analytical talents and hassle-solving capabilities. Candidates must be able to independently control responsibilities and address complicated commercial enterprise issues.
- Growth and Optimization: Experience in boom techniques and optimization strategies is useful. A proactive mindset and possession of duties are crucial traits for fulfillment in this function.
- General AI Knowledge: An understanding of popular AI standards may be an brought gain, as it may beautify the potential to increase sophisticated models and automate analytical techniques.
Educational Qualifications:
A graduate or postgraduate degree from a reputed organization is desired, reflecting a strong instructional historical past in a relevant area which includes Data Science, Computer Science, or Business Analytics.
Why Join Paytm?
- Collaborative Culture: Paytm promotes collaborative, output-pushed surroundings that bridge business goals with technological improvements. This way of life fosters innovation and pass-functional cooperation.
- Career Growth Opportunities: With over 500 million registered users and 21 million merchants, Paytm gives a unique environment wealthy in information and increased potential. This affords personnel with extraordinary possibilities to make contributions to and research from the digital monetary landscape.
- Feedback and Recognition: The function offers a sturdy 360-degree remarks machine, making sure that contributions are identified and revered by peers and managers alike.
- Wealth Creation: Paytm believes in profitable its personnel through wealth creation possibilities. If you’re the right suit, the enterprise is dedicated to providing a compensation package that aligns with your capabilities and contributions.
- Impactful Role: By joining Paytm, you become part of India’s biggest virtual lending tale, with the threat to contribute to the democratization of credit for consumers and merchants across the country.
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