Sr. Data Analyst

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 3600 - 4300 EUR Gross (based on experience and competences).

Great working environment and support in the work process.

Health insurance provided after the probation period, as well as additional benefits

Workplace in Riga.

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