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Senior Manager - Analytics at Paytm

Short Description:

The Senior Manager/Assistant General Manager role at Paytm in Noida for the m’Loyal platform involves leading a team to establish centralized data management, automate processes, and drive insights for marketing campaigns. Requirements include 7+ years of real-data experience, statistical proficiency (R, Python), data visualization skills (Tableau/Power BI), and a B.Tech or equivalent from a Tier-1 university. The role offers opportunities to maximize ROI on marketing, contribute to data-driven decisions, and be part of India's digital lending transformation leveraging Paytm's vast data ecosystem.


 

 

Position: Senior Manager/Assistant General Manager - Analytics 

Location: Noida, Uttar Pradesh 

Team: Analytics – Mobiquest 

Employment Type: On-roll 

Work Arrangement: On-site

About Us:

Paytm m’Loyal is a revolutionary technology platform in the mobile loyalty space, empowering retailers and B2C businesses to Acquire, Engage, and Reward their customers innovatively. Our platform seamlessly integrates with brand POS and various social, web, and mobile channels to capture, cluster, and analyze customer data, driving analytics-based campaigns that yield significantly higher ROI on marketing expenses. Paytm m’Loyal is a self-serve mobile loyalty, data analytics, and precision marketing platform that combines mobile technology, web-based CRM, and visual analytics to deliver outstanding business results for retail brands. The platform's ease of deployment, hassle-free SAAS model, and powerful functionality make it the preferred tool for marketers aiming to maximize ROI on their marketing initiatives.

About the Role:

  1. Conducting detailed business analysis to identify problems and opportunities for the business.
  2. Developing reports, dashboards, and automation solutions.
  3. Analyzing and preparing data for leadership presentations to facilitate informed decision-making.

Expectations/Requirements:

  1. Build and lead a team of Data Analysts (DA) and Management Information System (MIS) professionals to establish a centralized data management system, defining Key Result Areas (KRAs) and growth paths for the team.
  2. Design and implement processes for automated data extraction, report/dashboard automation, and aligning stakeholders for enhanced data visibility. Collaborate with the process team to define Service Level Agreements (SLA) and Key Performance Indicators (KPI).
  3. Collaborate with in-house and external operations teams, identify and track performance measures, key performance indicators, and associated drivers.
  4. Work with data engineering and data science teams to design, build, and deploy data analytics systems for large datasets, extracting meaningful insights for the operations team.
  5. Develop metrics and action points to drive in-house and external operations performance improvement and scalability decisions.
  6. Drive team performance in alignment with business objectives and aim for higher targets periodically.
  7. Design dashboards for merchant communications and automate them to support internal stakeholders.

Superpowers/Skills for Success:

  1. Strong background in statistical concepts and calculations with at least 7 years of experience working with real data.
  2. Innovative and adept at solving analytical and algorithmic problems.
  3. Proficiency in statistical analysis tools (e.g., R, Python), data visualization (Tableau, Power BI, etc.), data extraction tools (Oracle, Hive, MySQL), and presentation (MS Excel, PowerPoint, etc.).
  4. Extensive experience in solving analytical problems using quantitative approaches.

Educational Qualifications:

B.Tech or Equivalent (Any Tier-1 university).

Why Join Us:

  1. Engage in a collaborative, output-driven program that fosters cohesion across businesses through technology.
  2. Increase the average revenue per user by enhancing cross-sell opportunities.
  3. Receive solid 360 feedback from peer teams on your support of their goals.
  4. Earn respect through merit and contribution from your peers and manager.

Compensation:

If you are the right fit, we believe in creating wealth for you. With over 500 million registered users, 21 million merchants, and a wealth of data in our ecosystem, we are uniquely positioned to democratize credit for deserving consumers and merchants. Join us in shaping India's largest digital lending story!

Please click here to apply.


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