About the job
SKELAR is a pioneering venture builder from Ukraine, dedicated to developing international tech businesses. Together with co-founders, we assemble talented teams to achieve success in global markets.
Currently, SKELAR boasts a portfolio of businesses across various niches—from EdTech to marketplaces. These companies consistently rank among the top startups and product companies in Ukraine, achieving high rankings in the App Store and creating platforms used by millions worldwide. Our successes have garnered attention from leading media outlets such as TechCrunch and Wired.
We take pride in our robust team of over 1000 specialists, each bringing exceptional expertise and ambitious goals. Our people are our most valuable asset, and we are committed to building businesses with the finest talent available.
We are currently seeking a Data Visualization Engineer to join our team.
Relatio is a tech company focused on enhancing romantic relationships. Our application helps users worldwide cultivate harmonious and healthy partnerships through self-improvement. As part of our growth function, we are actively developing R&D initiatives in related areas.
Launched in the summer of 2023, we have already achieved significant success—establishing a unit economy and actively scaling towards becoming a large company. Each new hire now has the opportunity to lead their respective area, depending solely on their initiative and ambition.
Challenges Ahead:
You will be at the forefront of developing our BI direction:
— Build from scratch or significantly enhance key dashboards in Power BI, ensuring they are both fast and comprehensible for the business;
— Take charge of creating and optimizing tabular models in Microsoft SSAS, working with complex calculations in DAX and developing cube architectures;
— Assist the team in eliminating slow reports, identifying and rectifying performance bottlenecks;
— Participate in data source work and ETL processes, where your ability to spot problems and propose optimal solutions will be crucial;
— Contribute to optimizing SQL queries, ensuring data updates are faster and more reliable.
What Matters to Us:
— Experience with Power BI: dashboard construction, measure creation, and calculated columns;
— Understanding of DAX, including time intelligence and KPIs;
— Strong knowledge of SQL: complex joins, window functions, aggregates;
— Familiarity with DWH and ETL process principles;
— Ability to identify and resolve performance bottlenecks in cubes and dashboards;
— Experience in optimizing SQL server performance (indexes, partitioning, columnstore).
Preferred Qualifications:
— Practical experience with SSAS Tabular—model development and maintenance.
