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SKELAR
SKELAR is a Ukrainian venture builder that builds international tech businesses. Together with the co-founders, we gather strong teams to win in global markets.
Today SKELAR has a dozen businesses in different niches - from EdTech to SaaS. These are companies that have been awarded by Product Hunt, are included in the ratings of the TOP startups and product companies of Ukraine, occupy the highest positions in the AppStore and develop platforms that are used by millions of people. Also, SKELAR businesses are covered by TechCrunch, Wired and other global media.
We are proud of a strong team of 1000+ specialists who have cool expertise and ambitious goals. Our people are the company's most valuable asset, so we choose to build businesses with the best talent on the market.
We are currently scaling one of our infrastructure teams, Finance. So we are looking for a data analyst who will help bring the process of processing and preparing financial data to a new level.
A little more about the Finance team: is the team behind the scenes of every successful unicorn. We provide a turnkey solution to all financial issues for businesses of any complexity and manage relationships with stakeholders from different countries to bring your payment processes to a qualitatively new level. Our team is engaged in the automation of routine processes for the financial department and not only. We process raw financial data, prepare them for calculations and import into the ERP system, consolidate them for issuance to internal customers. The strategic goal in this direction is the preparation and implementation of a separate service (farm) for the preparation of data processing that will be used by businesses. 400">—Optimization, development and support of current modules (python scripts) for collection, preparation and processing of financial data: collection, consolidation and calculations, creation of output reports and verification systems;
—Building of infrastructure (database, web services, etc.) for data processing and calculation on the backend;
—Communication with other departments to ensure the appropriate level of automation of all processes necessary for smooth business growth of portfolio companies;
—Communication with system users to provide quality technical support to the finance team;
Building and supporting integrations with other systems (payment, accounting, etc.).eager:
- 1+ year of experience in a similar Data Analyst position;
- We will be glad to meet proactive candidates with experience in system outsourcing companies or product IT companies;
- Experience in python, using its standard libraries for working with data (pandas must have, as current solutions are built using pandas);
- Experience in web development, building web services (git, api+); 400">- Good knowledge of SQL;
- Have structured thinking, strong analytical skills and the ability to make business conclusions based on data;
Ability to visit the office in a smart hybrid format in Kyiv;
- High level of communication skills and the ability to work in a team.
SKELAR foundation is a charitable foundation created by company employees. Within the framework of the initiative, we create and finance projects that contribute to overcoming the consequences of the war and rebuilding Ukraine.
SKELAR is an environment for self-realization of people who are able to create successful companies. We call such companies the next big everything. We believe in their power and scale.
We plan to continue to develop tech businesses, conquer global markets and work for the victory of Ukraine.
For this, we have created all the possibilities within our venture builder:
— 8 infrastructure teams that help businesses close any issues: from recruiting and communications to finance and legal questions;
—A community of founders who have already launched more than one business and can share practical experience;
—Internal clubs by professional areas: marketing, development, finance, recruiting;
—Trainings, courses, attending conferences;
—Medical insurance, corporate doctor.
Let's build the next big everything together!