We are looking for a talented Data Business Intelligence Analyst to join our customers team.
You’ll have the chance to join the early-stage e-commerce start up from UK. As they working closely with Amazon, Wallmart, Ali etc — it is a unique opportunity to obtain multi-sided e-commerce experience working in close cooperation with Globe Largest E-Commerce Brands. Their product helps fashion retailers (eCommerce domain) to organise orders return process.
If you thrive in a team environment, are willing to pitch in wherever needed to help the team succeed, are passionate about data and excited about empowering users with data to drive decision making, this is the place for you.
BS or MS in computer science, analytics, statistics, economics, engineering, operations research or computational field
3+ years of industry experience writing advanced SQL, developing complicated analysis and creating advanced dashboards in Tableau or other BI/viz tools
Nice to have skills: GCP Dataflow and Python
Structured approach to problem-solving, ability to take a broad challenge and break it down into solvable components, accounting for confounding variables and statistical challenges
Demonstrated ability to work independently, prototype rapidly, iterate quickly and meet deadlines in a fast-paced environment
Strong communication and collaboration skills to effectively explain, influence, and advise with interdisciplinary partners
Build code to gather, refine, and transform large diverse datasets into simplified, meaningful, and actionable aggregations
Analyze data, to provide information that supports decision making across the company
Develop reporting workbooks and dashboards in Tableau (and others)
Write robust SQL and sometimes Python code
Collaborate with cross-functional teams to understand data flows and processes to enable design and creation of the best possible solutions
Be responsible for data accuracy and integrity, implement data quality processes, create data dictionaries and data governance policies.
Competitive remuneration based on qualification and contribution
Full-Time job (remote or office)
Flexible working schedule, vacations, paid sick leaves, English courses, regular parties
Good working environment
Great team spirit