In this role you will
- Define data tracking needs, build, test and maintain data pipelines to ensure data quality, and aggregate data for efficient, accurate analysis and reporting.
- Explore and evaluate ad monetization performance (ad products) and ad mediation improvements by proposing, designing, running, and analyzing A/B tests.
- Conduct exploratory and ad-hoc analyses on large datasets from multiple sources to uncover monetization opportunities and inform ad product decisions.
- Automate data analysis by developing reusable analysis scripts and pipelines,supporting faster data-driven decision-making across.
- Develop and maintain KPI-tracking dashboards and automated reports for analytics, ad operations, product, and leadership teams, and drive operational improvements in analytical processes and methodology.
- Summarize and interpret data clearly, extracting and presenting actionable insights, and proposing next steps to stakeholders ranging from development teams to company leadership.
- Find areas for improving ad based monetization and explore ways to optimize revenues (e.g., applying ML or optimization techniques to enhance waterfall ad mediation, header bidding, direct advertising deals, or hybrid mediation strategies.)
- Partner with teams across ad platform development, ad operations, data engineering, product, and game development in driving monetization success by providing an analytical perspective, and help set priorities within these teams based on business impact.
What we’re looking for
- Strong Proficiency in Data Languages such as SQL (BigQuery) and R or Python.
- Ability to interpret complex datasets, identify trends, and provide actionable insights.
- Experience with statistical modeling, A/B testing, causal inference, and predictive analytics.
- Ability to clearly explain complex analyses to both technical and non-technical audiences
- Strong collaboration skills for working with cross-functional teams.
- Experience with tools like Shiny, Looker, Lightdash, Tableau, or similar BI tools.
Your experience
- 3+ years in a data analytics or data science role, preferably in mobile gaming, ad tech, or a related field.
- Proven track record of independently driving projects from idea to delivery.
- Hands-on experience building ETL pipelines and working with large-scale datasets using tools like DBT, Airflow, or Spark.
What we offer
Povzetek delovnega mesta:
Podatkovni analitik III. (M/Ž)
Zahtevane so izkušnje iz področja podatkovne analitike. 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: 30.9.2025.