Business Analyst - Sales Analytics
Lucid MotorsAmsterdam, NHPosted 30 March 2026
Job Description
Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.
We’re looking for a hands-on analyst who loves digging into data, asking the right questions, and turning insights into actions. In this role, you’ll be the bridge between our sales teams and the analytics function, ensuring that every decision is backed by reliable, timely information. Your curiosity will drive the continuous improvement of our reporting and data quality, while your willingness to roll up your sleeves will help us keep the sales engine running smoothly.
Why This Role Matters
Building data-driven culture: Accurate, actionable analytics enable sales teams to focus on what matters: closing deals and growing revenue
Cross functional impact: Your work feeds Marketing, Finance, Inside Sales, and other teams, shaping strategy across the organization
Foundation for growth: By tightening data governance and streamlining reporting, you create a scalable analytics infrastructure that will support Lucid’s expansion across Europe
Core Responsibilities - Building the Future of Analytics Empowering Users
1. Build Maintain the Analytics Platform
Design, develop, and continuously improve Salesforce Tableau dashboards that track pipeline, conversion, and risk
Deliver weekly/monthly performance summaries for leadership
Conduct deep-dive diagnostics that ensure proactive decision-making, not reactive
Act as the first point of contact for day-to-day reporting and analytics requests from Sales and the wider team
2. Data Quality Governance
Own data quality standards across all sales systems; automate validation checks and alert mechanisms
Conduct regular audits and resolve discrepancies, ensuring every insight is built on trustworthy data
3. Automation Efficiency
Identify repetitive reporting and data processing tasks and implement solutions for improvement of efficiency (Power Automate, Alteryx, Zapier etc.)
Create automated scorecards and dashboard to support real-time performance evaluation and highlight opportunities for improvement
4. Enable Empower Users
Serve as the go to expert for Salesforce data issues and workflow improvements, collaborating with Sales Ops IT
Translate complex data into clear, actionable visualizations that nontechnical stakeholders can act on
Support the democratization of analytics by building simple self-serve tools and solutions for the wider organization
5. Strategic Partnership Insight Translation
Partner with Marketing, Finance, Corporate, and other functions to understand the niche data needs and help shape analytics strategy
Present findings in plain language, driving cross functional decisions and fostering a data driven culture
What We’re Looking For
Curiosity
: You ask “why” and “what if” and pursue answers through data exploration
Impact oriented
: You focus on outcomes: faster sales cycles, higher win rates, and more accurate forecasting
Handson mindset
: You’re comfortable cleaning data, troubleshooting dashboards, and writing quick scripts to solve problems
Communication
: You can translate technical findings into plain English and influence decisions at a ... (truncated, view full listing at source)
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