Senior Data Analyst

Pittsburgh, PA, USA

Ranked as #12 on Forbes’ List of 25 Fastest Growing Public Tech Companies for 2017, EPAM is committed to providing our global team of 25,900+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty, and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

DESCRIPTION


You are curious, persistent, logical and clever – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Senior Software Data Analyst. Scroll down to learn more about the position’s responsibilities and requirements.

EPAM’s Financial Services Practice is looking for exceptionally talented people to join our team of world class engineers. Our clients are some of the world’s largest and most innovative banks, investment banks and wealth management institutions.

We are seeking hands-on Data Analyst, who is passionate about collecting, storing, processing, and analyzing of large sets of data. The focus will be on providing optimal solutions for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

What You’ll Do

  • Implement data processing scripts in SQL (Hive SQL dialect);
  • Consult subject-matter experts of client to get insights into how existing systems keep records;
  • Combine data extracts from multiple banking systems for report development purposes;
  • Help big data developers in implementing the right queries from business POV.

What You Have

  • 5+ years of experience in data analysis;
  • Hands-on enterprise experience coding in Python;
  • Proficiency in SQL;
  • Experience working in financial services/banking industries and good domains knowledge.

Nice to have

  • Interest in learning PySpark library (Spark in Python) with the assistance of big data developers;
  • Proactivity;
  • Self-starter who can work independently through challenges.

What We Offer

  • Medical, Dental and Vision Insurance (Subsidized);
  • Health Savings Account;
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter);
  • Short-Term and Long-Term Disability (Company Provided);
  • Life and AD&D Insurance (Company Provided);
  • Employee Assistance Program;
  • Matched 401(k) Retirement Savings Plan;
  • Paid Time Off;
  • Legal Plan and Identity Theft Protection;
  • Accident Insurance;
  • Employee Discounts;
  • Pet Insurance.