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Senior Sales Data Analyst SaaS (all genders)

Shiftmove

France Remote permanent

Posted: March 3, 2026

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Quick Summary

To be written, key responsibilities and skills include analyzing and visualizing large datasets using Tableau, identifying trends and insights to inform sales strategies, and collaborating with cross-functional teams to drive business growth.

Job Description

At Shiftmove, we’re building the next generation of connected mobility products that empower businesses to make smarter, data-driven decisions. Our goal is to make complex operations intuitive and efficient, turning insights into impactful action for thousands of B2B customers across Europe.

To achieve this, we're looking for a Senior Sales Data Analyst Saas (f/m/d) to join our Revenue Operations team! In this role, you'll sit at the intersection of data science, BI analytics, and SaaS GTM strategy, owning our Tableau platform end-to-end, and driving our BI strategy. As such, you’ll work alongside Data Engineers and BI Analysts but take point on analytics strategy, storytelling, and execution, ensuring our SaaS GTM teams always have clarity on performance, risks, and opportunities.

What you'll do

• BI Ownership & Tableau Leadership: Own Tableau (Desktop, Prep, Server/Cloud): build, optimize, and govern dashboards; establish best practices; ensure performance and scalability
• Drive Tableau Adoption: Enable trust and reliance on reporting across GTM teams, from executives to front-line managers
• Analytics & Data Science: Own end to end GTM analytics (funnel, pipeline, conversion, churn/retention, CARR, NRR, GRR, LTV/CAC) and apply techniques such as predictive modeling, cohort analysis, segmentation, and forecasting
• GTM Insights & Storytelling: Run deep-dives into Sales performance trends, identify leading vs. lagging indicators, and translate findings into clear business stories and recommendations for leadership
• Data Infrastructure & Governance: Partner with Data Engineers on pipelines/models across Salesforce, marketing automation, finance, and product usage; ensure data quality and governance with modern data stack
• Strategy & Leadership: Define BI strategy, align KPIs with GTM priorities, mentor analysts, and collaborate cross-functionally to anticipate needs and proactively deliver insights

What you need to succeed

• Analytics expertise: Multiple years of hands-on experience in BI / Data Science / GTM analytics.
• Deep SaaS GTM Metrics Knowledge: Deep knowledge with SaaS go-to-market KPIs across the full customer lifecycle.
• Strong Tableau Expertise: Proven ability to own dashboards end-to-end, including design, optimization, performance, and governance.
• SQL & Data Warehouse Skills: Advanced proficiency in SQL and experience with Snowflake or a comparable data warehouse environment.
• dbt & ETL Tools: Strong understanding of dbt and modern ETL/ELT tools, with experience building and maintaining data models and pipelines.
• Python/R: Ability to use Python or R for analysis, modeling, automation, or advanced statistical workflows.
• Applied Data Science Methods: Experience with predictive modeling, clustering, regression techniques, and time-series forecasting in practical business contexts is preferable but not a pre-requisite
• Strong Communication & Storytelling: Excellent ability to translate complex SaaS KPI's and data insights into clear, compelling stories for executives and non-technical stakeholders.
• Leadership Potential: Demonstrated capacity to lead from the front, drive cross-functional alignment, and inspire confidence in data-driven decisions.

Why join us

• Impact: Real ownership during a high-growth, post-merger phase
• Flexibility: Hybrid setup (Paris/Aix offices + remote culture)
• Meal vouchers: To support your daily well‑being
• Comprehensive health insurance: Covering you and your entire family
• Employee benefits platform (Leeto): Access discounts on a wide range of services and activities
• We invest in your growth: Wherever you want to take your career, we’ll support you every step of the way

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