LawyerData Analyst

Lawyer Data Analyst

A challenging career pivot from Lawyer to Data Analyst. This requires significant reskilling and often an additional qualification. It's achievable, but plan for a 1–2 year commitment.

Moeilijkheid

8 / 10

Very Hard

Tijdlijn

12–24 mnd

Afhankelijk van ervaring

Vaardigheidsoverlap

13%

0 van 8 vaardigheden komen overeen

Salaris impact

-17%

Op mid-level (NL)

Vaardigheidsanalyse

Al in bezit

Weinig directe vaardigheidsmatch — de meeste zijn overdraagbare soft skills

Aan te leren

business intelligencetechnieken toepassen voor statistische analysescriteria voor gegevenskwaliteit definiërengegevens normaliserenprocessen voor gegevenskwaliteit implementerendatamininggegevensextractiestatistiek
API-bron: Skill data from ESCO API
GET https://ec.europa.eu/esco/api/resource/occupation?uri={occupationUri}&language=en
Overlap computed by matching hasEssentialSkill[].uri between source and target occupations.
NL layer: GET https://api.competentnl.nl/v1/occupation/{id}/skills

Leerpad

Data foundations

Maand 12 · 6–8 uur/week

Master SQL through Mode Analytics free exercises or SQLZoo
Learn Python basics — focus on pandas and numpy for data manipulation
Complete the Google Data Analytics Certificate on Coursera
Google Data Analytics Certificate →

Build analytical skills

Maand 35 · 5–8 uur/week

Work through Kaggle Learn courses — visualisation, ML intro, feature engineering
Build 2–3 data projects with real datasets and publish on GitHub
Learn Tableau or Power BI for business dashboarding

Domain and communication skills

Maand 67 · 4–6 uur/week

Map your Lawyer domain knowledge to data use cases — this is your competitive edge
Practice presenting data insights to non-technical audiences
Contribute to a public Kaggle competition or open dataset analysis
Kaggle Competitions →

Job search

Maand 810 · ongoing uur/week

Target data analyst or junior data scientist roles in your previous industry — sector knowledge is valued
Network at PyData Amsterdam, DataNL meetups
Target: ING, Philips, ASML, Booking.com — strong data cultures in NL

Salaris impact (Nederland)

NiveauLawyerData AnalystWijziging
Junior (0–3 jr)56k48k-14%
Mid-level (3–7 jr)83k64k-23%
Senior (7+ jr)118k81k-31%

Bron: CBS OData salarisstatistieken, UWV Arbeidsmarktdata 2025. Bruto jaarsalaris, Nederland. Individuele resultaten variëren per sector, bedrijfsgrootte en regio.

API-bron: Dutch salary data from CBS OData API
GET https://opendata.cbs.nl/ODataApi/odata/85262NED/TypedDataSet
Filter by Beroepsgroep (occupation group) and Geslacht (all)