Responsibilities
1. Using automated tools to extract data from primary and secondary sources
2. Removing corrupted data and fixing coding errors and related problems
3. Developing and maintaining databases, data systems reorganising data in a readable format
4. Preparing reports for the management stating trends, patterns, and predictions using relevant data
5. 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
6. Supporting the data warehouse in identifying and revising reporting requirements.
7. Setup robust automated dashboards to drive performance management
8. Generate meaningful actionable insights from large internal datasets that capture customer journeys on the Paytm app and share the findings with the senior management
9. Conduct regular review meetings and send regular updates on business analytics tasks. Keep all stakeholders on same page without any ambiguity
Required Skills
1. Problem solving - Assess what data is required to prove hypotheses and derive actionable insights
2. Analytical skills - Top notch excel skills are necessary
3. Must have experience with SQL/Hive and data visualisation tools
4. Strong communication and project management skills
Required Experience
1. Bachelor s degree in engineering / science / mathematics or related domain
2. 2-5 years of work experience in top analytics companies or tech startups in data related roles
3. Demonstrated experience in handling large data sets and relational databases.
4. High-level written and verbal communication skills.
Technical Requirements:
1. Proficient in SQL/Hive and deep expertise in building scalable business reporting solutions
2. Past experience in optimizing business strategy, product or process using data analytics
3. Working knowledge in at least one programming language like Scala, Java or Python
4. Working knowledge of Dashboard visualization and CLM tools. Ability to execute cross functional initiatives
Qualifications:
1. Bachelor s degree or higher in engineering, statistics, mathematics, economics, business or a similar quantitative field. Master s in these fields preferred
2. 2 to 6 years of work experience in a business intelligence and analytics role in financial services, ecommerce, consulting or technology domain
3. Demonstrated ability to directly partner with business owners to understand product requirements
4. Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills
5. Prior success in working with extremely large datasets using big data technologies
6. Detail-oriented, with an aptitude for solving unstructured problems
Any Graduate, B.Tech/B.E. in Production/Industrial