Sr. Data Analyst/Data ModelerExpleo

Acteur mondial de l'ingénierie, de la technologie et du conseil, Expleo accompagne des entreprises reconnues dans leur innovation afin d'accélérer leur réussite.

Nous nous appuyons sur plus de 40 ans d'expérience dans le développement de produits complexes, l'optimisation des processus de fabrication et la performance des systèmes d'information. Notre expérience sectorielle nous permet d'apporter à nos clients une expertise approfondie propre à stimuler l'innovation à chaque étape de la chaîne de valeur. Le groupe réalise un chiffre d'affaires annuel d'un milliard d'euros.

Expleo est un groupe responsable qui s'engage à placer l'éthique et la diversité au centre de ses pratiques, ainsi qu'à œuvrer pour une société plus durable et plus sûre.

Chez Expleo, épanouissez-vous au cœur d'une communauté de 19 000 collaborateurs hautement qualifiés qui fournissent des solutions à forte valeur ajoutée dans 30 pays.

Notre politique de recrutement est engagée en faveur de l'intégration et du maintien dans l'emploi des personnes en situation de handicap.

Location: Hybrid (Minneapolis, MN) up to 3 days onsite per week

Employment Type: Full-Time

Join Trissential and Make an Impact in Enterprise Data Excellence

Are you a seasoned Data Analyst or Data Modeler who loves turning complex business needs into clean, well-governed, high-quality data structures? Trissential is seeking an experienced professional to join our client's team and shape the future of enterprise data architecture and governance. If you're energized by data modeling, data quality, and partnering closely with business and engineering stakeholders, this is an opportunity to contribute at a strategic level.

What's in It for You?

• High-impact data ownership - play a key role in establishing trusted, accurate, business-aligned data assets
• Strategic collaboration - partner across business, analytics, data engineering, and governance teams
• Modern data ecosystem - contribute to Snowflake, Python profiling, metadata management, and model governance
• Growth potential - work with evolving data standards, expand your modeling expertise, and influence data products

Your Role & Responsibilities

In this role, you will support the full data modeling lifecycle-from conceptual business models to physical implementations-ensuring accuracy, consistency, and alignment with enterprise data standards.

You will:

• Collaborate with business stakeholders and Product Owners to define conceptual models that reflect real business processes and terminology
• Develop logical data models including entities, attributes, constraints, and relationships
• Translate logical models into physical schemas for relational, columnar, or lakehouse environments
• Perform robust data profiling to assess quality, identify anomalies, and quantify data quality metrics
• Support model-to-source and model-to-target mappings
• Validate performance, scalability, and security considerations for physical models
• Maintain data dictionaries, lineage documentation, and metadata artifacts
• Assist Data Governance teams with taxonomy alignment, naming standards, and quality rules
• Participate in design reviews, change control processes, and governance forums
• Provide impact analysis for any structural or semantic data changes

Skills & Experience You Should Possess

You don't need to meet every bullet to thrive here-if most fit your background, you're encouraged to apply.

• 10+ years of experience in data analysis, data modeling, or related advanced data roles
• Strong expertise in conceptual, logical, and physical data modeling
• Experience with data profiling techniques and data quality frameworks
• Ability to translate business requirements into structured data artifacts
• Proficiency with SQL and data analysis methods
• Working knowledge of governance, metadata management, and lineage
• Excellent communication skills across both business and technical audiences

Bonus Points If You Have

• Experience with Snowflake
• Hands-on experience using Python for data profiling
• Ability to parse or interpret JSON, COBOL, JCL, SQL, Java, C/C++, .NET
• Experience with Erwin for ERDs, forward engineering, and reverse engineering
• Exposure to naming standard enforcement or data cataloging initiatives

Education & Certifications You Need

• Bachelor's degree in Computer Science, Information Systems, Data Management, or related field
• Data modeling or data governance certifications are beneficial but not required

What We Offer

At Trissential, we are driven by innovation, partnership, and meaningful work. When you join our client's team through us, you gain access to a supportive environment, competitive pay, and opportunities to grow while working on impactful enterprise initiatives.

• Competitive Compensation - You choose the model that works best for you, both with company-sponsored benefits! $164,000-$174,000 annually or $88-$98 per hour, depending on your skills, experience, and location. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by…