Junior Data Analyst


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.


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 Junior Data Analyst. Scroll down to learn more about the position’s responsibilities and requirements.

Do you love working with huge data sets to discover actionable insights hidden deep within? Are you looking to grow your passion and career alongside a global team of software engineering experts? If so, this could be the perfect opportunity to join EPAM as a Data Analyst. Scroll down to learn more about what you could achieve in this role.

EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact Ashley Means at Ashley_Means@epam.com or 1-267-759-9000 ext. 49976 if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access Plan.

What You’ll Do

  • Collaborate with business analysts, data scientists, software engineers, and solution architects to develop data driven solutions for clients;
  • Work closely with key clients to understand their business issues, determine data requirements, and extract data for reporting purposes;
  • Gather and analyze requirements to develop impactful recommendations and solutions;
  • Translate data into insights and present to stakeholders;
  • Prepare data for creating, running, and modifying reports;
  • Build complex SQL queries to ask questions of large/complex datasets;
  • Use Technology Stacks (Spark, Airflow, Google Cloud, Python, SQL, etc.) to assist in Data Wrangling;
  • Participate in design, planning, implementation and testing of various modeling initiatives.

What You Have

  • In pursuit of a Bachelor’s degree in Engineering, Computer Science, Commerce, Math, Stats or related fields;
  • Experience using SQL and databases to process structured and unstructured data;
  • Working knowledge of Python or R (or similar languages);
  • Fluency in presenting findings and translating data into understandable documents; you will need to write and speak clearly and easily communicate complex ideas;
  • Ability to take a big idea or a complex problem, mine data to create insights, and use those insights to establish a point-of-view on the idea/problem.

Nice to have

  • Knowledge of Hadoop, Spark or other Big Data environments;
  • Prior consulting experience;
  • Experience with Tableau or Google Data Studio;
  • Knowledge of statistical modelling or forecasting techniques.

What We Offer

  • Extended Healthcare with Prescription Drugs, Dental and Vision Insurance (Company Paid);
  • Life and AD&D Insurance (Company Paid);
  • Employee Assistance Program (Company Paid);
  • Long-Term Disability;
  • Registered Retirement Savings Plan (RRSP) with company match;
  • Paid Time Off;
  • Critical Illness Insurance;
  • Employee Discounts.