T

Talan

Agile IT transformation consulting and delivery

Data Analyst Senior

Business IntelligenceConfirmed live in the last 24 hours
Full-timeÎle-de-France, France€50k - €55k /yr

About the Job

Requirements

  • A Bac +5 or equivalent is required.
  • At least 7 years of data analysis experience, including significant experience combining data visualization and the delivery of insights.
  • Advanced Power BI skills, including semantic modeling, DAX, Power Query, interactive dashboard design, and performance optimization.
  • Ability to explore, analyze, and interpret data to identify trends, opportunities, risks, and performance drivers.
  • Strong data storytelling and analysis presentation skills, with UX knowledge applied to data visualization and the ability to adapt messages to business teams, executives, and COMEX.
  • Knowledge of data analysis techniques including segmentation, behavioral analysis, performance analysis, correlations, and anomaly detection.
  • Knowledge of Power BI AI features, including Copilot, natural-language Q&A, Smart Narratives, and automated analysis.
  • Strong SQL skills for data exploration, analysis, and preparation.
  • Experience using data preparation tools such as dbt, Dataiku, or Alteryx.
  • Understanding of data models and modern analytics architectures.
  • Awareness of data quality, reliability, and governance concerns.
  • Ability to use varied data sources and combine multiple information sources to produce valuable analyses.
  • Proficiency using AI and generative AI to accelerate data exploration, insight discovery, and production of analytical deliverables.
  • Ability to use AI assistants to enrich analyses, automate investigations, and improve decision-making experiences.
  • Awareness of data traceability, quality, security, and governance.
  • Experience with modern analytics environments such as Databricks, Snowflake, BigQuery, or Microsoft Fabric, or equivalent platforms.
  • Understanding of data storage, transformation, and exposure principles in modern analytics platforms.
  • Experience working in Agile methods, including Scrum, Kanban, or SAFe.
  • Ability to communicate with business stakeholders, technical teams, and executives.
  • Professional English proficiency, written and spoken, at a minimum B2 level.
  • Analytical thinking and problem-solving ability.
  • Ability to formulate concrete recommendations based on analysis.
  • Communication and teaching skills.
  • Autonomy, initiative, and ability to make proposals.
  • Results and business-impact orientation.
  • Ability to explain complex subjects to non-technical stakeholders.
  • Teamwork and client-service orientation.

Responsibilities

  • Gather, understand, and challenge business needs to identify steering, performance, and decision-support issues.
  • Explore and analyze data from multiple sources to identify trends, correlations, signals, and improvement opportunities.
  • Define and build relevant indicators and KPIs aligned with clients’ strategic and operational objectives.
  • Translate complex data into clear, actionable recommendations using data storytelling suited to different audiences.
  • Design interactive dashboards and reports using data visualization tools such as Power BI to support understanding, analysis, and decision-making.
  • Ensure the quality, reliability, and consistency of data used in analyses and presentations.
  • Work closely with Data Engineering teams to formalize data requirements, improve analytical models, and make data use more reliable.
  • Write functional specifications and document analyses, metrics, and business rules.
  • Use AI and generative AI to accelerate data exploration, analysis, insight generation, and production of valuable presentations.
  • Use advanced Power BI features, including Copilot, natural-language Q&A, Smart Narratives, anomaly detection, and automated analysis, to enhance decision-making experiences.
  • Support users in adopting tools, understanding indicators, and developing a data culture within organizations.
  • Benchmark solutions and advise clients on data and analytics technologies suited to their needs.
  • Conduct proof-of-concept projects on modern data platforms and data visualization tools.
  • Facilitate the Data & AI community through experience sharing, internal conferences, mentoring, training, technology monitoring, and sharing good practices.

Desired Qualifications

  • Knowledge of other data visualization tools such as Tableau, Qlik Sense, or Looker Studio.
  • Knowledge of version control with Git and collaborative development practices.
  • Microsoft Power BI Data Analyst (PL-300) certification.
  • Microsoft Fabric Analytics Engineer (DP-600) certification.
  • Databricks Data Analyst Associate certification.
  • Certifications in AI applied to data and Business Intelligence.

About the Company

Talan

Agile IT transformation consulting and delivery

Talan is a European consulting and IT services group that helps organizations transform and adapt to fast-changing environments. It offers a full range of services from strategic business consultancy to packaged IT solutions, including production support, software development, business analysis, and nearshore delivery. The company works by deploying multidisciplinary teams across its global offices to guide clients through agile transformations, change programs, and IT modernization. Talan differentiates itself through its international footprint, sector focus on Major Service Operators, and a culture built on transparency, respect, teamwork, entrepreneurial spirit, and commitment. With strong organic growth and a large pool of over 3,500 consultants, its goal is to create and share value for clients while coaching and developing its people—empowering customers to transform and compete more effectively.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$110M
Headquarters
Paris, France
Founded
2002

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