Data Business Intelligence Analyst
We are looking for a Data Business Intelligence Analyst to join our customer’s team. Our client is building the world’s leading real estate investment marketplace. Their mission is to make ownership of investment real estate radically accessible, cost-effective, and simple.
The company has been recognized as a great workplace by Glassdoor and Great Place to Work and was recently named to the Forbes Fintech 50 and the Red Herring 100 lists of most innovative companies.
Product — a platform that lets everyone from first-time investors to global asset managers evaluate, purchase, and own residential investment properties with confidence from anywhere in the world.
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
A 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
Experience in data warehousing, dimensional data modeling and tools like Airflow and DBT is a plus
Bonus skill sets: intermediate/advanced data modeling, intermediate Python and/or R
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, operating on a modern cloud stack (Snowflake, AWS, Azure)
Some analyses will require basic statistical tests, and prototypes may occasionally involve building basic statistical and machine learning models (regression, random forests, etc.)
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 (Office in the very center of Kyiv or remote)
Flexible working schedule, vacations, paid sick leaves, English courses, regular parties
Good working environment
Great team spirit