THE SPIRIT OF VIVA LA DIFFERENCE

Viva La Difference is deeply rooted in everything we do. It has always been in our DNA. From the birth of Publicis, 94 years ago, when Marcel Bleustein-Blanchet, our founder, invented French advertising. Viva La Difference expresses how we value and respect each individual and recognize what makes us distinctive. This is the charge that inspires our teams to celebrate the differences in identity, background, culture, and experience of all of us. It is how we behave with each other and our clients, and it is deeply rooted throughout our work, to elevate and bring to life our differences throughout the platform world..
Overview
We’re looking for a Senior Data Analyst with strong technical and analytical skills to join our data team in production technology.
We’re seeking a Technical Lead Data Analyst with strong technical, analytical, and leadership skills to guide our data analysts within the production technology team. In this role, you’ll not only deliver hands-on analysis using BigQuery, PostgreSQL, Python, and modern BI tools, but also define the analytics strategy, mentor analysts, and work closely with engineering, data science, and product teams to ensure our data products and insights drive tangible business outcomes.
You will own the design and delivery of analytics workflows, reporting solutions, and data-driven recommendations for internal teams, operational stakeholders, and external clients. Additionally, you’ll collaborate with development teams to build dynamic, scalable dashboards and analytics solutions that integrate seamlessly into our platforms. This role is ideal for someone who thrives on blending technical expertise with strategic leadership, shaping how data is used across the organization.

EXPERIENCE

• Relevant experience in analytics, business intelligence, or data-focused roles, ideally in a technical leadership capacity
• Deep proficiency in SQL (joins, CTEs, optimization) and experience working with large-scale datasets in BigQuery, Snowflake, or Redshift
• Strong Python skills for analytics, automation, and data manipulation (pandas, matplotlib, seaborn)
• Strong understanding of data modeling, governance, and performance tuning in cloud-based environments
• Proven ability to lead teams, define strategy, and influence cross-functional stakeholders across technical and non-technical groups
• Strong business acumen and ability to connect data insights with organizational goals

DESIRABLE SKILLS

• Background in e-commerce, marketing, or operations analytics
• Experience with data visualization tools (e.g., Looker, Tableau, Power BI)
• Familiarity with modern data stack tools such as dbt, Airflow, and Git-based workflows
• Experience contributing to data product development, working closely with engineers and product managers
  Additional information
  Publicis Groupe operates a hybrid working pattern with full time employees being office-based three days during the working week.
  We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process.
  Please make sure you check out the Publicis Career Page which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups).

• Lead and mentor a team of data analysts, setting best practices for analytics, reporting, and stakeholder communication
• Define and own the analytics roadmap, ensuring alignment with product, operations, and business objectives
• Architect, develop, and maintain scalable reporting and analytics solutions, including dashboards, curated datasets, and KPI frameworks
• Write advanced SQL queries and Python scripts to analyze large datasets, automate processes, and surface actionable insights
• Collaborate with data engineering and data science teams on data discovery, pipeline requirements, and feature development
• Act as a trusted advisor to stakeholders, translating data into clear narratives, recommendations, and measurable outcomes
• Ensure data quality, governance, and performance optimization across all analytics outputs
• Stay current on emerging analytics tools and cloud technologies, and introduce new approaches to improve efficiency and capability
  Qualifications