Job Application for Statistical Data Modeller/Analyst at Helmes AS

We are seeking a skilled Statistical Data Modeller/Analyst to join Helmes.

You will work in a diverse team with a LEAN/Agile, continuous improvement focus, and an ambition to promote best practices for a wide range of colleagues and partners. You will help establish evidence-based international standards, and help find solutions to a range of social, economic, and environmental challenges.

You are a great fit for the team with

A university degree in Mathematics, Computer Science, Economics, or in a related field
At least 3 years of working experience, ideally in database modelling, information modelling, classification or metadata management
Familiarity with Statistical Data and Metadata eXchange (SDMX) standard with a commitment to reach a good working level
Experience in a connex domain such as data warehousing, BI
Familiarity with linked open data and cataloguing standards: DDI, RDF, DCAT, SKOS is a bonus
Experience with Python and R, other scripting languages would be an asset, especially VBS, shell/PowerShell
Very good English language skills, both written and spoken

What is in it for you?

Opportunity to work with an international client that provides a unique forum and knowledge hub for data and analysis, exchange of experiences, best-practice sharing, and advice on public policies and international standard-setting
A large degree of autonomy and a chance to take responsibility
An experienced mentor who will guide you while settling in, and provide you with feedback for fast development
Being part of a large group of experts
Hybrid or remote work is perfectly acceptable, we are open to flexibility
Supplementary health insurance
Lots of training and self-development opportunities

What to expect

A world-class workplace

We fully support hybrid work principles and ensure that every person and team have both comfortable and ergonomic workspaces. Our company offices are meant to be social hubs for Helmes people.

Supportive ecosystem for growth

We select the best talent and trust them to build successful businesses with their customers. The variety of customers, projects, and smart peers who surround you will enable you to fulfill your professional ambitions.

Balanced life

We care about people and invest in long-term relationships. We believe that the mental, physical, and emotional wellbeing of our employees is the very foundation of our best-in-class service.