Senior Data Analyst

Hybrus AB; Sweden; Hybrid; SEK 669,600 - 892,800; Full time

Job summary

Hybrus AB is seeking a Senior Data Analyst to work in Stockholm, focusing on enhancing measurement and analytics for recommendation systems. The role requires at least 5 years of experience in data science or analytics, with a strong grasp of SQL and Python. Responsibilities include designing A/B tests and building data models and dashboards.

The ideal candidate will thrive in minimal supervision, clarify objectives before solutions, and possess excellent communication skills. A fixed-term contract of 6 months is offered with onsite options.

Qualifications

• 5+ years in analytics or data science.
• Experience with recommendation or search systems.
• Strong SQL and large dataset handling skills.

Responsibilities

• Own measurement of experiments and A/B tests.
• Investigate model behavior and analyze system performance.
• Build dashboards and self-serve tools for recommendation health monitoring.

Skills

Independent analytics

SQL proficiency

Python for data analysis

A/B testing

Strong communication skills

Advanced statistics

Tools

BigQuery

dbt

Looker

Job description

We are looking for a Senior Data Analyst for our client in Stockholm, to strengthen the measurement and analysis layer around their recommendation systems, working alongside engineering & product.

Employment type

Fixed term Contract

Duration

6 Months

Location

Stockholm

Job Type

Onsite (Potential Hybrid option)

Scope of the engagement

• Own the measurement of recommendation experiments - design A/B tests, define success metrics, and deliver readouts that explain not just whether something worked but why.
• Investigate model and system behavior: ranking quality, retrieval coverage, exposure and feedback effects, and the gaps between offline metrics and online outcomes.
• Build the dashboards, data models, and self-serve tooling the team relies on to monitor recommendation health, and leave them in a state the team can maintain after the engagement.
• Partner with engineers and PMs to scope analytical questions sharply - clarifying the objective and sizing the opportunity before they turn into long projects.
• Surface insight proactively: the segment behaving oddly, the metric drifting, the counterfactual worth running.

We care about the deliverables and the handover. Work should be reproducible and documented well enough that it outlives the contract.

What you bring

• 5+ years in an analytics or data science role, with a track record of operating independently and delivering with minimal ramp-up.
• Direct experience with recommendation, search, ranking, ads, or another large-scale ML-driven product.
• Strong SQL and comfort with large datasets (we work in BigQuery); fluency in Python for analysis beyond SQL.
• A real grasp of experimentation - A/B testing, statistical significance, and the common traps (peeking, interference, novelty effects).
• The instinct to clarify the objective before reaching for a solution, and the discipline to separate what the data shows from what you'd like it to show.
• Clear communication: you can take a messy analysis and land a single, defensible takeaway for any audience, from an engineer to a director.
• A very good understanding and application of advanced statistics.

Nice to have

• Familiarity with recommender systems internals - retrieval, ranking, candidate generation, offline vs. online evaluation.
• Exposure to bandits, off-policy evaluation, or causal inference.
• Experience building data models and dashboards others depend on (dbt, Looker, or similar)

Please let us know if you are interested and if yes, then apply to [e-mail] with your CV, including details about Salary, Notice period and Visa Status.