Data Analyst

Mountain View, CA, 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 30,100+ 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 going to use data to inform operational and product decisions across the project. You will work closely with Operations, Engineering, and Product Management teams to shape and develop data architecture and provide visibility on operational performance. You will lead efforts to craft scalable solutions for automation, dashboards and business insights so users can see quickly and accurately know how key business operations and processes are performing. You’ll be involved from project inception to delivery, ensuring solutions are delivering high-quality and relevant data so our business can grow intelligently.

Our ideal candidate is a well-rounded top performer who can be a key contributor in a high energy growth environment. You should be a self-starter with good knowledge of BI tools and approaches. You can "crunch the numbers" one minute, and critically think through business problems and communicate to senior stakeholders the next. You will work with the operation and business teams in understanding their evolving requirements and deliver practical and innovative solutions of real business benefit.


#LI-DNI

What You’ll Do

  • Work closely with product and management teams to understand their needs and developing BI strategy to fulfill and scale;
  • Work closely with Engineering and Product to shape and drive the development of data infrastructure and methods to deliver scalable operational and business insight.

What You Have

  • Degree with quantitative focus, preferably computer science;
  • Strong database experience including proficiency in SQL;
  • Experience working with unstable data infrastructure and identifying recommendations to Engineering;
  • Distinctive problem-solving and analytical skills, combined with strong business acumen.

Nice to have

  • Genuine excitement and passion for developing complex data sets and converting them into the information / insights that drive business decisions at all levels of the organization;
  • Experience of big data and related data analytics, with knowledge of R or similar statistics tools a plus;
  • Proficiency in Javascript, Python, or Go.

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.