Dr. Niels Ohlsen

Data & Analytics — turning business questions into decisions, action and value

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Data and analytics professional who turns business questions into analytical solutions — and results into decisions, action and value. I combine hands-on analysis (SQL, R, Tableau) and a strong statistical foundation (PhD) with years of leading data products, infrastructure and teams. I work as a strategic partner deciding which data products create the most value, structured around clear KPI logic and a strong narrative thread through every analysis.

Value ManagerData & Analytics · Cordes & Graefe
SQL · R · Tableaucore stack
Dr.PhD, University of Bremen
Dataviz Bremenmeetup co-organiser

What I do

As Data and Analytics Value Manager at Cordes & Graefe (GC Gruppe) I act as a strategic partner to the business: deciding which data and analytics products create the most value, prioritising the portfolio accordingly, and translating business logic into KPIs and driver trees. I shape the data strategy, derive business requirements for the data platform, and drive the data catalog and governance — with hybrid project management combining agile delivery and classic, plan-driven methods (IPMA Level D).

When analysing data I mostly work with SQL (MySQL, BigQuery), R (tidyverse, ggplot2) and Tableau, plus R Shiny, Python (scripting), Git and Adobe/Google Analytics. Strong skills in data wrangling, statistical analysis & modelling (SEM, latent class analysis, multiple imputation) and data visualisation.

Experience

  • Data and Analytics Value Manager — Cordes & Graefe KG, Bremen · since Jan 2026. Strategic partner for the data & analytics product portfolio; KPI and driver trees; data strategy, catalog and governance
  • Interim Product Owner, Web Analytics — Cordes & Graefe KG · Aug 2024 – Dec 2025 (concurrent). Sole ownership of the group’s Adobe Analytics setup — webshop tracking across 180 group companies, steering an external agency. Consolidated 1,080 company-specific report instances into 6 group-wide reports as a single source of truth, and replaced per-promotion reporting with one reusable tool enabling proper campaign attribution
  • Data Scientist — Cordes & Graefe KG · May 2023 – Present. Exploratory and ad-hoc analyses (SQL, R) informing commercial strategy: share-of-wallet, customer lifetime value, effect of group services on ecosystem integration and retention; Adobe Analytics as self-service BI platform incl. key-user group
  • Team Lead Data — Traum-Ferienwohnungen, Bremen · Feb 2021 – Apr 2023. Led the data team (up to 6 people) as product, tech, process and people lead; owned the BI infrastructure (Tableau), pipelines and data marts
  • Data / Business Analyst — Traum-Ferienwohnungen · Jan 2020 – Feb 2021. Standardised Tableau reporting used by 50+ employees; SQL/statistical analyses for sales, marketing, controlling and product
  • Business Intelligence Manager — eurapon Pharmahandel GmbH, Bremen · Oct 2017 – Dec 2019. Sole analyst; built the company’s first data marts and automated reporting (R, R Shiny, RMarkdown) across pricing, margin, inventory and CLV
  • PhD researcher (2012–2017), artec | Forschungszentrum Nachhaltigkeit — dissertation „Klimawandelbewusstsein und Akzeptanz erneuerbarer Energien” (climate-change awareness and public acceptance of renewable energies), developed in the REKLIMAR project. Funded by a doctoral scholarship of the Deutsche Bundesstiftung Umwelt (DBU)
  • Research associate (2011–2012) — stakeholder analysis of Bremen’s waste-management sector

Education & certifications

  • PhD (Dr. rer. pol.), Economics & Social Science (magna cum laude), University of Bremen · 2012–2017 — methods incl. SEM, latent class analysis, CFA, PCA, logistic regression, survey weighting, multiple imputation
  • M.A. & B.A., Sociology & Empirical Social Research, University of Bremen · 2006–2010 — statistics, quantitative and survey methods, qualitative methods, full research cycle
  • IPMA Level D — Certified Project Management Associate, GPM · 2026

Beyond work

Co-organiser of the Dataviz Meetup Bremen (since 2023) — talks & meetups on data visualisation, visual analytics and business intelligence. Volunteer data work with CorrelAid; DBU fellowship network. German (native), English (C1).

Writing

I write about statistics, R and data visualisation on the blog — including widely-referenced posts on multiple imputation (MICE), latent class analysis (poLCA) and structural equation modelling with lavaan. Photography is a hobby of mine; a small selection lives in the gallery.