Hybrid Analytics Engineer presso Artefact

Who We Are
Artefact is a new generation of data service providers specialising in data consulting and
data-driven digital marketing. It is dedicated to transforming data into business impact across
the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing
growth.
The backbone of our consulting missions, today our Data consulting team has more than
400 consultants covering all Artefact's offers (and more): data marketing, data governance,
strategy consulting, product owner...

What you will be doing?
We are looking for a skilled and detail-oriented Analytics Engineer with 5+ years of
experience to join our data team. In this role, you will be responsible for designing, building,
and optimizing data models, and creating impactful dashboards and reports using Power BI.
You will play a key role in transforming raw data into meaningful insights that support
strategic decision-making across the organization.

Key Responsibilities

• Design, develop, and maintain scalable data models to support business
  intelligence and analytics needs.
• Build intuitive, accurate, and visually appealing Power BI dashboards and
  reports.
• Collaborate with data engineers and business stakeholders to understand
  data requirements and deliver effective solutions.
• Perform data transformation and cleansing using SQL or other data
  manipulation tools.
• Ensure data quality, consistency, and governance across all reporting
  solutions.
• Automate data pipelines and contribute to data warehousing efforts.
• Provide ad-hoc data analysis to support business questions and operational
  improvements.
• Stay updated on Power BI best practices, features, and industry trends.

What we are looking for?
Technical Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics,
  or a related field.
• 5+ years of experience in analytics engineering, business intelligence, or data
  analytics roles.
• Proficiency in Power BI, including DAX, Power Query, and custom
  visualizations.
• Strong knowledge of data modeling concepts (star/snowflake schemas,
  fact/dimension tables).
• Solid experience in SQL for data extraction and transformation.
• Familiarity with AWS Redshift data warehousing tools/platforms .
• Understanding of ETL processes and tools.
• Excellent communication skills and the ability to translate business needs into
  technical solutions.
• Experience working in agile teams and collaborative environments.

Attitude & Soft Skills:

• Proven problem-solving skills and a solution-oriented mindset.
• Excellent communication skills to collaborate effectively within teams and
  with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.