If you're looking for a stable workplace with a strong reputation, professional growth opportunities, and a friendly team – Stockmann is the place for you!

Operate at the intersection of data science and business to uncover, build and operationalize insights that sharpen Stockmann’s commercial decisions - spanning pricing optimization, loyalty marketing performance, and merchandising & buying effectiveness.

The Senior Data Analyst pairs solid BI foundations with advanced analytics techniques —predictive modelling, customer segmentation, propensity scoring, price elasticity analysis — to deliver forward looking intelligence and self service assets that inform day to day commercial, marketing and merchandizing strategies.

Duties and responsibilities:

• Pricing & Margin Optimization – Construct price elasticity curves and what if pricing scenarios to guide commercial decisions.

• Merchandise Assortment Insights – Deliver assortment performance dashboards and clustering analysis to support the buying team.

• Development and maintenance of ML-models in production – Ongoing maintenance and enhancements to existing predictive/churn/retention models.

• Insight Generation – Translate ambiguous business questions into analytically answerable problems; deliver actionable recommendations with quantified impact.

• Advanced Analytics Delivery – Build and validate predictive models (classification, regression, time series, clustering) using Python/R and SQL on AWS hosted data.

• Stakeholder Partnering – Embed with domain teams (e.g., Marketing, Loyalty, commercial planning); facilitate workshops, prioritize backlogs, and champion data driven culture.

• Data Stewardship – Ensure data quality, lineage documentation and model reproducibility; contribute to governance standards and metric definitions.

• Enablement & Upskilling – Share best practices through demos, brown bags and code reviews; mentor junior analysts when onboarded.

Job requirement:

• 5+ years in data analytics or data science roles within retail, e commerce or finance.

• Bachelor’s or Master’s in Statistics, Computer Science, Econometrics, Mathematics or related quantitative field.

• Demonstrated delivery of predictive models and customer segmentation that drove measurable commercial impact.

• Hands on experience building dashboards and semantic models in Power BI or equivalent BI tooling.

• Programming: Expert Python or R (tidyverse, caret) for data wrangling and modelling.

• SQL & Data Modelling: Proficient SQL; capable of designing star / lakehouse schemas in Redshift or similar.

• AWS Certified Data Analytics or equivalent preferred.

We offer:

Opportunity to gain professional experience in an international company.

Monthly salary 3800 - 4300 EUR Gross (based on experience and competences).

Great working environment and support in the work process.

Workplace in Riga.

Long term stability.