Where data meets decisions!
Join us as a Senior Marketing Data Scientist and turn complex data into smarter marketing moves. From experimentation frameworks to profitability models, you’ll contribute to success and help shape data-driven marketing at Outfit7.

Responsibilities

• Collaborate with Distribution and Product teams to identify opportunities to improve distribution.
• Proactively discover and drive new data-driven approaches to optimize distribution.
• Work on ad hoc projects that support company strategy.
• Present and share new methodologies and best practices internally and externally.
• Build and maintain clean, scalable data pipelines and internal tools that reduce manual work, minimize errors, and enable at-scale optimization.
• Develop robust experimentation frameworks and perform analyses to support profit growth and distribution optimization.
• Communicate insights clearly, challenge outdated practices, and lead pragmatic improvements.
• Optimize data processing workflows to improve efficiency and performance.
• Advise the Marketing team on test design and experimental setups based on data insights.
• Contribute analytical perspectives to discussions and suggest improvements to campaign performance.
• Analyze results from various experiments and tests.
• Implement mathematical models to optimize the performance of Outfit7's marketing campaigns.

Required Skills

• Strong problem-solving skills with the ability to understand data and identify key trends.
• Advanced data analysis skills, particularly in SQL and R or Python.
• Ability to work efficiently in a fast-changing environment.
• Excellent communication and presentation skills; fluent in English (written and spoken).
• Proven ability to structure complex problems, conduct thorough analyses, and generate actionable insights from large datasets.
• Proficiency in reporting and explaining complex results to stakeholders from diverse professional backgrounds.
• Excellent attention to detail and a continuous-improvement mindset.
• A positive, proactive, lead-by-example attitude.

Required experience

• 5+ years of experience in a data scientist role, ideally in mobile gaming, performance marketing or related fields (you should know how to use data to help with business decisions).
• Proficiency in R or Python, primarily for statistical analysis, data manipulation, and visualisation.
• Experience with data analysis, reporting, and monitoring.
• Experience with data-oriented tools, such as SQL; familiarity with DBT is a plus.
• Proven ability to structure complex problems, conduct thorough analyses, and generate actionable insights from large datasets.
• Experience working with teams from different departments.
• Experience in leading a smaller team would be a plus.

What we offer

• Employment relationship with a legal entity within Outfit7 group (taking into consideration the specifics of candidate location and preferences) for an indefinite period of time, with a six-month probationary period.
• Diverse work with exciting daily challenges, working as part of a team in a fun, relaxed environment.
• Participation in attractive projects.
• Development opportunities through training, seminars, and conferences
• Choice of sport, fitness, educational, and entertainment activities outside of work.
• Healthy meals in the office
• Flexible working hours
• 24 days of paid vacation
• Participation in a discretionary bonus plan.
• Christmas bonus (subject to internal policies).

Marketinški podatkovni analitik IV.

Zahtevane so izkušnje iz področja podatkovne znanosti, idealno v performance marketingu, mobilnih igrah ali sorodnih področjih. Sklenitev delovnega razmerja nudimo za nedoločen delovni čas s šestmesečnim poskusnim delom v podjetju Ekipa2 d.o.o., s sedežem v Ljubljani.

Rok za prijavo: 30.5.2026.

Note: With application to selected job position I hereby confirm that I have read and understood Outfit7's Candidate Privacy Policy.

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The Data Office is responsible for data associated with products, AI, marketing, finance, sales, and more. Our department ensures that all teams at JetBrains have access to up-to-date, reliable, and transparent data and data services.

As part of our growth strategy, we are looking for an experienced, detail-oriented, and self-motivated BI Analyst to develop, maintain, and enhance BI reports and dashboards for our internal customers across corporate functions, including marketing, IT, PMO, and others.

As part of our team, you will:

• Design, develop, and automate reports and dashboards for several of our data domains, such as marketing, IT, and executive reporting.
• Partner with the Data Quality team to define and implement rules that ensure high data reliability standards.
• Continuously engage with other colleagues at JetBrains, including team clients, data partners, data engineers, and data analysts, to gather and refine business requirements.
• Promote best practices in data visualization.
• Participate in both business-driven and technical projects.

We’ll be happy to have you on our team if you have:

• Extensive SQL experience.
• At least three years of experience with Tableau – experience with Metabase or alternative BI tools is a plus.
• Strong knowledge of and experience with dbt.
• Strong attention to detail and the ability to identify small but important differences.
• Ability to work independently, take ownership of tasks, analyze problems, and deliver results within agreed-upon deadlines.
• Fluent English, both written and spoken.
• Proactive mindset.
• Dedication to knowledge sharing and cross-team collaboration.

We’ll be especially thrilled if you have:

• Basic experience in DWH development.
• Basic experience with AWS. 
• Experience in marketing, including marketing metrics, data structures, and marketing data.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. 
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

#LI-KP1

• Partner with Sales stakeholders to define analytical requirements, metrics, and KPIs, and identify opportunities for improvement.
• Develop and maintain dashboards, reports, and visualizations that provide timely and actionable insights.
• Analyze revenue streams and contribute to forecasting using statistical, heuristic, or machine learning approaches.
• Perform exploratory and ad hoc analyses to support decision-making across Sales and related teams.
• Collaborate with data engineers to design and implement data marts, reporting layers, and ETL pipelines; contribute to our dbt-based analytics infrastructure.
• Support Sales Development and Lead Generation teams by analyzing experiments and campaign performance.
• Monitor data quality across reporting assets and work with data owners to resolve issues.
• Document metrics, dashboards, and data sources, and help stakeholders effectively use analytics tools.
• Promote self-service analytics by enabling teams to access and interpret data independently.

• 5+ years of experience in a BI, data analysis, or similar analytical role.
• Strong SQL skills and experience with Python, R, or another relevant programming language.
• Experience with BI and visualization tools such as Tableau, Power BI, Qlik, DataLens, or similar.
• Understanding of data warehousing concepts, relational databases, and data processing workflows.
• Experience working with structured datasets and building reliable reporting solutions.
• Strong analytical thinking, attention to detail, and curiosity about data.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Professional working proficiency in English.

• Experience working with Sales, Marketing, or other go-to-market domains, especially in B2B environments.
• Hands-on experience building ETL pipelines and preparing datasets for analytics.
• Experience working with dbt or similar data transformation tools.
• Familiarity with data governance and data quality practices.

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