Senior Data Analyst
About Us
We are a fast-growing tech company operating in the international programmatic advertising market. Our core product is a Demand Side Platform (DSP) capable of handling 70,000 queries per second and delivering 20 million ad impressions per day.
Despite having a compact team, we build highly efficient solutions and have already achieved profitability. We combine the agility of a startup with a pragmatic approach, valuing flexibility, fast decision-making, and deep technical expertise.
Our primary focus is on developing smart bidding algorithms that optimize ad auctions and maximize campaign efficiency. We work with both In-App and web advertising, covering a variety of geographic markets.
We’re looking for someone who:
- Has experience in AdTech, digital marketing analytics, or adjacent data-driven fields;
- Has excellent knowledge of SQL and hands-on experience working with analytical databases (ClickHouse, PostgreSQL, etc.);
- Is confident in Python for data analysis (Pandas, NumPy, data visualization libraries);
- Understands basic statistics and knows how to apply it in analytics tasks;
- Can turn raw data into actionable insights: formulate hypotheses, validate them, and clearly present findings;
- Knows how to build dashboards and analytical reports and is comfortable explaining analytical results to non-technical stakeholders;
- Is proactive, detail-oriented, and able to work both independently and within a cross-functional team.
You will work on:
- Analyzing large volumes of advertising data and identifying insights that help improve bidding strategies and campaign performance;
- Evaluating the effectiveness of advertising campaigns and ML-driven optimizations;
- Designing and maintaining dashboards, reports, and monitoring systems for product and operational metrics;
- Conducting research on traffic sources, user behavior, and performance trends across different markets;
- Supporting Data Science and Engineering teams with analytical deep dives, feature evaluations, and data validation;
- Working closely with Developers, Data Engineers, DevOps, and BI specialists on cross-functional tasks.
Our Tech Stack is:
Python, Sklearn, PyMC3, GitLab, ClickHouse, PostgreSQL, Airflow, Docker, Grafana, k8s, VictoriaMetrics.
What We Offer:
- Remote work and flexible hours — plan your day the way it fits you best.
- A fast-growing company where you can improve your skills and grow together with the team.
- Competitive pay that matches your experience and contribution.
- A supportive team always ready to help, share ideas, and celebrate results together.
Think you’re a great fit? Send your CV or portfolio to careers@remoby.com and let’s talk!