Senior Associate Data Analytics

General Purpose:

· Collect, clean, and analyze large datasets from multiple data sources of OLTP/OLAP to support business objectives.

· Write complex SQL queries to extract and manipulate data efficiently.

· Develop and maintain reports & dashboards using BI Tools, and data visualizations using Excel, Python, and BI tools.

· Use Python libraries (Pandas, NumPy, Matplotlib, etc.) for data analysis and automation.

· Perform statistical analysis to identify trends, patterns, and actionable insights from raw data.

· Collaborate with cross-functional teams to understand data needs and provide analytical support.

· Ensure data accuracy and integrity while optimizing data processes.

· Stay up to date with industry trends and best practices in data analytics.

· Strong focus on automation to replace manual tasks with automation.

Principal Accountabilities

Maintain day-to-day settlement data and ensure correctness of reporting to RBI, accuracy of data updated in NPCI web site, monitor timely update of NPCI web site with the current data. Getting the data cross checked with RBI website to confirm correctness.

Analyze the transactional data, provide insights to customer success teams and higher management on trends, issues that must be addressed on day-to-day basis.

Be the support function for data for the entire customer success division, manage RBI requirements for data and also be verifier for the data requirements of the product team.

Skills & Requirements

Strong proficiency in SQL for data extraction and analysis.

Strong proficiency in Excel with knowledge in Advanced Excel automation skills (VBA, Power Query, Macros, Power Automate, etc.).

Proficient in Python for data manipulation, analytics, AI, Automation.

Familiarity with “data visualization” tools (like Power BI, Tableau, Qlik, SAP BI or similar).

Must be familiar in popular EDW/Data Lake solutions like Teradata, Exadata, AWS, Azure, Snowflake.

Should have done data visualization using Python besides visualization tools.

Understanding of statistical methods & forecasting models, and data modeling techniques.

Handson experience on using python libraries like NumPy, Pandas, Matplotlib, scikit learn, Seaborn, SciPy, Scikit learn, TensorFlow, PyTorch, XGBoost.

Problem-solving mindset with strong analytical skills.

Excellent communication and presentation skills.

Knowledge of machine learning concepts and tools, understanding of ETL tools & processes and data pipeline management is a plus.

Should have designed data pipelines to feed RAG/GenAI/AI Agents

Must be well versed in deploying RAG, GenAI & Agentic AI solutions and should have implemented projects using LLMs in automating workflows /processes.

Should have knowledge of vector DB.

Experience preferably in payments domain or banking / financial services.

Certifications:

Must have one or more certifications from the following (but not limited to) from a reputed Institute or College or University in India or Abroad:

· Data/Business Analyst Associate/ Professional

· Certificate in Data Engineering

· Power BI/ Tableau/Qlik/Any other BI Tool Specialist/Professional

· Data Warehouse/ Data Lake/ Lake House Certification

· Certified Associate in Python Programming or Entry‑Level Python — basic Python for data wrangling.

· Data Science Professional Certificate

· SQL

· Post Graduate/ MS/ MTech/ Diploma/Certification in Data Science /Business Analytics /Data Analytics/AI ML