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Senior Data Analyst & Analytics Engineer | Power BI · Looker · dbt · BigQuery · SQL I help companies turn messy data into clear business decisions. With 7 years of experience across retail, global shipping, and B2B SaaS, I build the pipelines, dashboards, and data models that teams actually rely on — from logistics and supply chain analytics to product funnels, marketing metrics, and executive reporting. Currently Lead Analytics Engineer at Scandinavia's largest retailer (2M+ app members), where I own the full modern data stack: BigQuery, dbt, Dagster, Power BI, and Looker, serving four business functions simultaneously. What I deliver for clients: Power BI and Looker dashboards — from semantic model to executive-ready report dbt data models — clean, tested, documented, production-grade BigQuery and Snowflake pipelines — scalable, reliable, monitored KPI frameworks and metric definitions — one source of truth across your organisation Funnel and cohort analysis — activation, retention, conversion, LTV Ad hoc analytics and insight delivery — fast turnaround, business-ready output Previous experience includes Klaveness Digital (CargoValue B2B SaaS, global shipping analytics for clients including Drax UK) and Aztek Innovate (Norwegian public healthcare). Fluent in English, Norwegian, German, and Spanish. Remote-ready, EU-based, available for project and retainer work.…Senior Data Analyst & Analytics Engineer | Power BI · Looker · dbt · BigQuery · SQL I help companies turn messy data into clear business decisions. With 7 years of experience across retail, global shipping, and B2B SaaS, I build the pipelines, dashboards, and data models that teams actually rely on — from logistics and supply chain analytics to product funnels, marketing metrics, and executive reporting. Currently Lead Analytics Engineer at Scandinavia's largest retailer (2M+ app members), where I own the full modern data stack: BigQuery, dbt, Dagster, Power BI, and Looker, serving four business functions simultaneously. What I deliver for clients: Power BI and Looker dashboards — from semantic model to executive-ready report dbt data models — clean, tested, documented, production-grade BigQuery and Snowflake pipelines — scalable, reliable, monitored KPI frameworks and metric definitions — one source of truth across your organisation Funnel and cohort analysis — activation, retention, conversion, LTV Ad hoc analytics and insight delivery — fast turnaround, business-ready output Previous experience includes Klaveness Digital (CargoValue B2B SaaS, global shipping analytics for clients including Drax UK) and Aztek Innovate (Norwegian public healthcare). Fluent in English, Norwegian, German, and Spanish. Remote-ready, EU-based, available for project and retainer work.

Liza D

Data Scientist, Data Analyst, Full Stack Developer, +2

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Senior Data Analyst & Analytics Engineer | Power BI · Looker · dbt · BigQuery · SQL I help companies turn messy data into clear business decisions. With 7 years of experience across retail, global shipping, and B2B SaaS, I build the pipelines, dashboards, and data models that teams actually rely on — from logistics and supply chain analytics to product funnels, marketing metrics, and executive reporting. Currently Lead Analytics Engineer at Scandinavia's largest retailer (2M+ app members), where I own the full modern data stack: BigQuery, dbt, Dagster, Power BI, and Looker, serving four business functions simultaneously. What I deliver for clients: Power BI and Looker dashboards — from semantic model to executive-ready report dbt data models — clean, tested, documented, production-grade BigQuery and Snowflake pipelines — scalable, reliable, monitored KPI frameworks and metric definitions — one source of truth across your organisation Funnel and cohort analysis — activation, retention, conversion, LTV Ad hoc analytics and insight delivery — fast turnaround, business-ready output Previous experience includes Klaveness Digital (CargoValue B2B SaaS, global shipping analytics for clients including Drax UK) and Aztek Innovate (Norwegian public healthcare). Fluent in English, Norwegian, German, and Spanish. Remote-ready, EU-based, available for project and retainer work.…Senior Data Analyst & Analytics Engineer | Power BI · Looker · dbt · BigQuery · SQL I help companies turn messy data into clear business decisions. With 7 years of experience across retail, global shipping, and B2B SaaS, I build the pipelines, dashboards, and data models that teams actually rely on — from logistics and supply chain analytics to product funnels, marketing metrics, and executive reporting. Currently Lead Analytics Engineer at Scandinavia's largest retailer (2M+ app members), where I own the full modern data stack: BigQuery, dbt, Dagster, Power BI, and Looker, serving four business functions simultaneously. What I deliver for clients: Power BI and Looker dashboards — from semantic model to executive-ready report dbt data models — clean, tested, documented, production-grade BigQuery and Snowflake pipelines — scalable, reliable, monitored KPI frameworks and metric definitions — one source of truth across your organisation Funnel and cohort analysis — activation, retention, conversion, LTV Ad hoc analytics and insight delivery — fast turnaround, business-ready output Previous experience includes Klaveness Digital (CargoValue B2B SaaS, global shipping analytics for clients including Drax UK) and Aztek Innovate (Norwegian public healthcare). Fluent in English, Norwegian, German, and Spanish. Remote-ready, EU-based, available for project and retainer work.

Available to hire

Senior Data Analyst & Analytics Engineer | Power BI · Looker · dbt · BigQuery · SQL
I help companies turn messy data into clear business decisions. With 7 years of experience across retail, global shipping, and B2B SaaS, I build the pipelines, dashboards, and data models that teams actually rely on — from logistics and supply chain analytics to product funnels, marketing metrics, and executive reporting.
Currently Lead Analytics Engineer at Scandinavia’s largest retailer (2M+ app members), where I own the full modern data stack: BigQuery, dbt, Dagster, Power BI, and Looker, serving four business functions simultaneously.
What I deliver for clients:
Power BI and Looker dashboards — from semantic model to executive-ready report
dbt data models — clean, tested, documented, production-grade
BigQuery and Snowflake pipelines — scalable, reliable, monitored
KPI frameworks and metric definitions — one source of truth across your organisation
Funnel and cohort analysis — activation, retention, conversion, LTV
Ad hoc analytics and insight delivery — fast turnaround, business-ready output
Previous experience includes Klaveness Digital (CargoValue B2B SaaS, global shipping analytics for clients including Drax UK) and Aztek Innovate (Norwegian public healthcare).
Fluent in English, Norwegian, German, and Spanish. Remote-ready, EU-based, available for project and retainer work.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Ukrainian

Fluent

English

Fluent

German

Advanced

Norwegian

Advanced

Spanish; Castilian

Advanced

Portuguese

Advanced

Work Experience

Lead Data Analyst / Analytics Engineer at Coop Norge SA

January 1, 2024 - Present

Developed and maintained interactive dashboards in Power BI and Looker, supporting logistics, store operations, sales forecasting, and marketing with real-time performance insights across Coop's nationwide retail network. Designed and orchestrated scalable data pipelines using Dagster, dbt, and BigQuery, transforming raw transactional and operational data into clean, reliable models for decision support and reporting. Partnered with the marketing team to track onboarding metrics for Coop App used by over 2 million members; built funnels and cohort analyses to measure engagement leading to improved retention and conversion. Conducted deep-dive analyses into Coop App usage patterns, such as digital coupon redemption, store locator usage, and digital receipt views, influencing strategies that affect millions in member spend (e.g., > NOK 150M/month). Wrote optimized, production-grade SQL to support ad-hoc business questions, automate critical KPIs, and ensure consistency across self-servic

Data consultant at Aztek Innovate AS

April 1, 2023 - December 31, 2023

Data management and visualization for Norwegian government health agency.

Data analyst at Klaveness Digital AS

June 1, 2019 - March 1, 2023

Designed, maintained, and socialied Entity Relationship Diagrams (ERDs) to represent the relational structure of global supply chain datasets. Created and documented reference SQL scripts to support recurring analysis and reporting tasks, accelerating adoption of self-service analytics. Developed Power BI dashboards for key supply chain KPIs, integrating data from internal (SAP) systems to support real-time operational decisions. Built modular, reusable Python models for forecasting commodity and freight prices using ARIMA, TensorFlow, Keras, Facebook Prophet, and scikit-learn; results were integrated into client-facing tools and reports. Implemented linear programming (PuLP) and genetic algorithms to optimize sourcing and port operations, contributing to significant cost savings and reduced vessel congestion. Partnered with product managers, domain experts, and commercial stakeholders to translate business needs into scalable analytical solutions, including evaluations of sourcing strategies and transport patterns across alumina, chemicals, cement, and energy sectors. Conducted cost, risk, and opportunity analyses across global trade flows, with a focus on Americas, Scandinavia, the Middle East, and Australia. Led the review and quality assurance of data pipelines and transformation logic, ensuring consistent and trusted data outputs in both internal models and customer deliverables. Participated in version-controlled development workflows (GitLab), contributing to shared analytics repositories and collaborating with team members via pull requests and code reviews. Promoted a data-driven culture through documentation, ad hoc training sessions, and collaborative design reviews — empowering broader team members to engage with data responsibly and effectively.