- Company: Get A Job.ai
- Location: 9th arrondissement of Paris, 75009, Paris
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
Responsibilities
We are representing a confidential data and AI consulting firm for a Senior Data Analyst position based in the 9th arrondissement of Paris. In this role, you will transform business operations through effective data collection, processing, and visualization, serving as a trusted advisor for stakeholders.
Your key responsibilities will include:
- Framing use cases with business teams, validating data availability, and defining analytical approaches
- Designing and implementing dashboards, data products, and pipelines that drive business decision-making
- Translating business requirements into scalable analytics architectures and pipelines
- Applying modern analytics engineering practices and promoting best practices in data modeling and testing
- Leveraging generative AI developments to deliver maximum value for clients
- Extracting valuable insights and communicating them in clear, actionable terms
- Building strong relationships with client stakeholders and acting as a go-to expert for analytics guidance
- Mentoring junior data analysts and sharing best practices through workshops and documentation
- Contributing to internal accelerators and maintaining active technology watch
What We're Looking For
Our client seeks candidates with deep expertise in at least one specialized domain, combined with openness to work across others:
Core Requirements:
- 3+ years of hands-on experience in a data-driven environment
- Strong expertise in at least one of the following domains:
- Dashboarding & Data Visualization: Power BI, Looker, Tableau, or Superset
- Analytics Engineering: dbt, with experience on BigQuery, Snowflake, or Databricks
- Marketing Analytics & Measurement: CDP platforms (Treasure Data, Hightouch, Tealium), MMM, attribution, clean rooms
- Low-Code/No-Code Data Science: Dataiku, Copilot Studio, or similar platforms
- Solid foundation in SQL and Python
- Familiarity with Git and software engineering fundamentals (versioning, testing, code quality)
- Experience working in cloud environments (GCP, Azure, or AWS)
- Fluency in French and English
Nice to Have:
- Experience with generative AI applied to analytics (MCP for BI, conversational data interfaces)
- Exposure to multiple analytics domains
- Knowledge of statistics and machine learning fundamentals
Beyond technical expertise, we value intellectual curiosity, pragmatism and creativity, ability to bridge business and technical teams, autonomy and reliability, and clear communication skills to build client trust.
How We Work with You
To apply for this position, please submit your application through Get A Job.ai. Our talent team will review your profile and conduct an initial screening call. If there is a strong match, we will coordinate your introduction to our client through a structured interview process that includes technical, business, and cultural fit assessments. Please do not contact the client directly—all communication should go through Get A Job.ai to ensure a smooth and professional process.
Pay
Compensation details will be discussed during the screening process based on your experience and qualifications.
Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We evaluate all candidates based on qualifications and merit, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Explore Get A Job.ai online
Working in 9th arrondissement of Paris, 75009, Paris, France
About this role & career path
Traits that fit this role
- Achievement Orientation
- Intellectual Curiosity
- Cautiousness
- Integrity
- Attention to Detail
Source: O*NET Work Styles (Distinctiveness Rank).
Typical preparation needed: Job Zone 5: Extensive Preparation Needed. Most of these occupations require graduate school -- for example, a master's degree, and some require a Ph.D., M.D., or J.D. — via O*NET
Industry news
- Troutman Pepper Locke Weekly Consumer Financial Services Newsletter – September 22, 2026 - Consumer Financial Services Law Monitor
- OpenAI launches ChatGPT for financial services industry - Reuters
- AI governance in financial services: why it's now essential - Wolters Kluwer
Source: O*NET (public-domain bulk data)
Salary & compensation
Workers in Business & Financial Operations occupations earn a national median of $76,859 — via US Census ACS / Data USA
Market context
- Similar listings in 9th arrondissement of Paris, 75009, Paris 3
Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.
Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.
Listing facts
- Role Senior Data Analyst
- Employer Get A Job.ai
- Location 9th arrondissement of Paris, 75009, Paris
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 13, 2026
- Apply by October 13, 2026
- Overview Full job description on this page (471 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
Typical work in Data Analyst
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.
- Research or develop analytical tools to address issues such as portfolio construction or optimization, performance measurement, attribution, profit and loss measurement, or pricing models.
- Interpret results of financial analysis procedures.
- Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.
- Define or recommend model specifications or data collection methods.
- Produce written summary reports of financial research results.
Limited public data for this employer
We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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Occupation family: Data Analyst
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