Business Analyst

4 days ago

Greater Noida, Uttar Pradesh, India Paytm Full time ₹ 5,00,000 - ₹ 8,00,000 per year

About the role: We are seeking a Business Intelligence and Analytics professional for the Paytm team. The core responsibility will be to optimize, evangelize, and demonstrate the value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data-driven insights to business stakeholders. Identify opportunities for process improvements. Provide data-driven insights to support business decisions. Implement solutions that increase efficiency and productivity.

Key Responsibilities:

  1. Build and maintain analytical reports and dashboards to provide a deep view of the

performance of the business.

  1. Enable test and learn for understanding user behavior and targeting growth opportunities.

  2. Understanding the broad range of Paytm data resources, and knowing the right ones to

use for the analytical problems at hand

  1. Evangelizing data-driven decision making within the team and to business & product

owners.

  1. Identifying data needs and driving data quality improvement projects.

  2. Preparing reports for the management, stating trends, patterns, and predictions using relevant data.

  3. Preparing final analysis reports for the stakeholders to understand the data-analysis steps,

enabling them to take important decisions based on various facts and trends.

  1. Preparing reports for the management, stating trends, patterns, and predictions using relevant data.

  2. Supporting the data warehouse in identifying and revising reporting requirements.

  3. Set up robust automated dashboards to drive performance management.

  4. Derive business insights from data with a focus on driving business-level metrics.

Superpowers/ Skills that will help you succeed in this role

Minimum 3-4 years of work experience in a business intelligence and analytics role in

financial services, e-commerce, consulting, or technology domain.

Proficient in SQL and Excel, and deep expertise in building scalable business reporting

solutions

Problem solving - Assess what data is required to prove hypotheses and derive actionable

insights.

Past experience in optimizing business strategy, product, or process using data & analytics.

Working knowledge of Dashboard visualization and CLM tools.

Ability to execute cross-functional initiatives

Demonstrated ability to partner with business owners to understand product requirements

directly.

Effective spoken and written communication to senior audiences, including strong data

presentation and visualization skills.

Detail-oriented, with an aptitude for solving unstructured problems

Education Qualifications:Bachelors degree or higher in engineering, statistics,

mathematics, economics, business, or a similar quantitative field. A masters in these fields is preferred.

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