Data Analyst

  • EPAM Systems
  • Zürich, Switzerland
  • 16/05/2018
Full time Data Science Data Engineering Machine Learning Data Analytics Big Data Artificial Intelligence Statistics Software Engineering

Job Description

Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

Currently we are looking for a Data Analyst for our Zurich office to make the team even stronger.

You won’t be working in a big team of developers, you work alone but can ask others for help, therefore you need to be very proactive and able to work independently. Usually senior managers reach out to you and need statistics/graphics/numbers to make important decisions. Therefore, once you understood what these managers want, you go into systems with tremendous amounts of data and think how you can collect and query this by using proprietary technologies. Your result will end up in a dashboard for this manager. Once you want to deliver your result, you should be able to objectively conduct a last quality check – in other words, what this dashboard says, whether it makes sense (business-wise), whether the data is correct (spot check), whether the delivered code is of high quality.


  • Extend and maintain our business intelligence platform built on client-specific infrastructure
  • Develop operational reporting for various functions (e.g. support, vendor operations) within apps operations to deliver insightful and actionable data and analysis
  • Design and code database pipelines to deliver data input necessary for reporting
  • Handle day-to-day reporting, data and analysis requests
  • Write and review BI documentation (for database tables, metrics, reports, dashboards)
  • Develop quantitative models e.g., forecast & operational models of business trends


  • Solid and current hands on SQL experience is a must (this is 90% of the role). Big Data experience is a huge plus
  • JS is a big plus. Lua is a plus
  • Python is not needed yet, but in the nearest future
  • Machine learning/artificial intelligence knowledge from university is a plus
  • Communicative, independent. Customer facing experience or requirements gathering experience is a plus
  • B.A./B.S. degree or equivalent (in lieu of degree, 4 years of relevant work experience) in a quantitative field like Engineering, Computer Science, Mathematics, Statistics, Physics, Econometrics, or Economics or in Business Science
  • Relevant work experience as an analyst or in a highly analytical role, preferably in support, sales, consulting, financial analysis, or quantitative marketing
  • Hands on experience with SQL. Experience with JavaScript


  • Graduate degree in a quantitative field like Engineering, Computer Science, Mathematics, Statistics or Economics or in Business Science
  • Experience working with large datasets and data warehouses and ability to pull from such data sets using relevant programs and coding
  • Experience creating data visualizations including reports and dashboards (e.g. in Tableau)
  • Technical consulting or project/program management experience is a strong plus. Ability to handle multiple projects and assignments under time pressure
  • Experience in requirements gathering as well as customer facing situations


  • Experience exchange with colleagues all around the world
  • Competitive compensation depending on experience and skills
  • Regular assessments and salary reviews
  • Opportunities for self-realization
  • Friendly team and enjoyable working environment
  • Corporate and social events
  • Please note that any offers will be subject to appropriate background checks
  • We do not accept CV from recruiting or staffing agencies