Data Analyst
lemlist · Paris, Île-de-France, France
- On site
- Full-time
- €60,000 / year
- Paris, Île-de-France, France
Job highlights
- Drive data culture and strategic decisions.
- Build and maintain insightful dashboards.
- Ensure data quality and consistency.
- Support marketing, sales, and product teams.
- Collaborate directly with C-suite executives.
About the role
About Us
lemlist is the sales engagement platform that gives sales teams the unfair advantage they deserve. Bootstrapped since day one, we’ve grown from 0 to $35M ARR in 6 years, without raising a single dollar. Today, we’re a profitable B2B SaaS company valued at $150M, trusted by 40,000+ sales teams worldwide to book more meetings and close more deals.
We’re looking for a Data Analyst to join our team. You’ll be responsible for driving & leveraging the data culture within lemlist, so everyone becomes more data-oriented - and no decision is made without the relevant data.
Your main mission will be:
- Conduct in-depth data analyses to support strategic decision-making and drive business performance.
- Build and maintain data visualizations and dashboards that provide clear, actionable insights.
- Monitor and ensure long-term data quality, accuracy, and consistency across analytics systems.
- Respond to ad-hoc data requests from various business teams in a timely and reliable manner.
- Identify and propose new data-driven opportunities to enhance existing processes and support continuous improvement.
Key Results
Within 3 months, you will have/be:
- Successfully onboarded and integrated into the team.
- Built new major data concepts for the company: Marketing and Sales/Revops KPIs, Product Usage, Customer segmentation to support company performance monitoring.
- Fully managed our Business Intelligence solution, created your first dashboards and metrics, trained the teams to use it.
- Supported content creation by providing high-value analysis for marketing teams.
- Answered upcoming punctual data requests arising from all departments (Sales, Marketing, Product, Ops, Cx…).
- Maintained a Data Catalog / Data Bible to ensure all concepts and metrics are well documented.
- Provide an always-up-to-date Data Analysis Roadmap accessible by anyone in the company.
Within 12 months, you will have:
- Managed to get daily usage of your analysis and models by all major business teams.
- Deep dived critical KPIs of the company (Acquisition, Activation, Usage, Churn) and support product and marketing teams to leverage those insights
- Improved significantly the Data culture within lemlist.
- Supported the C-level (CEO, CPO, CMO, Head of Sales…) for strategic decisions
- Understood business processes of operational departments to make sources of data more reliable and uncover new data uses cases to improve business efficiency
- Created an embedded 360° customer dashboard available in Holistics tool.
- Built a solid Data Catalog available across all teams
What’s in it for you?
- Work in a profitable, bootstrapped, and high-growth company that doesn’t rely on external funding to live.
- Work on high-impact projects with highly skilled data profiles composed of a Senior Analytics Eng, a Senior Data Scientist and a Senior Data Engineer that directly drive business decisions
- Collaborate directly with the C-suite on strategic topics
- Work with a team obsessed with speed, growth, and impact.
Preferred Experience
Must have:
- 3+ Years in an Analytics position (data analyst or analytics engineer), in a fast-growing environment.
- Very strong business orientation and communication skills - genuine interest in all faces of the business (marketing, sales, product, ops…) with proven ability to deliver added-value analysis with modern visualisation
- Advanced SQL, Python skills is a plus
- Experience in using a modern data stack, using solutions such as : GCP suite (BigQuery), DBT core, Visualisation tools (Holistics, Metabase, Looker…), Jupyter Notebook
- Strong analytical and problem-solving mindset.
- Fast learner, High ownership, structure, and execution speed.
- Fluent in French and English.
- Paris based (Paris office / remote)
Nice to have:
- You have a first experience in B2B SaaS startup
- Knowledge of general IT good practices - maintainable and commented code, GitHub…
Additional information
- Competitive salary and company bonus (up to 18K€ per year depending on company’s performance)
- 38 days of holidays/year
- Alan Blue: Comprehensive 100% premium medical coverage for you and your family
- Swile Meal Tickets: Enjoy daily meal tickets to fuel productivity
- Navigo Card: Seamless commuting with a 100% covered Navigo card
- Gear: Get the laptop, tools, and equipment you need for your job
- Team building: We all meet once per year at really cool places around the world (check our video here)
Recruitment process
- Screen CV with Victoire (and interview if needed)
- Interview with Ibrahim - Senior Analytics Eng. & Eliott - Lead data
- Live business case interview with Ibrahim & Eliott
- Interview with Charles CEO, Oriane CoS
- Reference Check & Offer
Key skills/competency
- Data Analysis
- SQL
- Python
- Business Intelligence
- Data Visualization
- Data Quality
- Strategic Decision-Making
- B2B SaaS
- Problem-Solving
- Communication Skills
Skills & topics
- Data Analyst
- Analytics
- SQL
- Python
- Business Intelligence
- Data Visualization
- GCP
- BigQuery
- DBT
- Holistics
- SaaS
- B2B
- Sales Engagement
- Growth
- KPIs
- Dashboarding
- Data Quality
- French
- English
- Paris
How to get hired
- Tailor your resume: Highlight your 3+ years of analytics experience in fast-growing environments and proficiency in SQL and modern data stacks (GCP, DBT, Holistics).
- Showcase business acumen: Emphasize your strong business orientation, communication skills, and genuine interest in marketing, sales, product, and ops.
- Prepare for technical challenges: Be ready to demonstrate advanced SQL skills, ideally with Python experience, and familiarity with BI tools like Holistics.
- Highlight cultural fit: Showcase your fast learning ability, high ownership, structured approach, and execution speed, along with fluency in French and English.
- Demonstrate problem-solving skills: Be prepared to discuss how you've driven data-driven opportunities and improved business efficiency in previous roles.
Technical preparation
Master advanced SQL for complex queries.,Practice Python for data manipulation and analysis.,Build dashboards using Holistics, Metabase, or Looker.,Familiarize yourself with GCP (BigQuery) and DBT.
Behavioral questions
Describe a time you improved a business process with data.,How do you ensure data accuracy and consistency?,How do you communicate complex data insights effectively?,Share an example of taking high ownership in a project.
Frequently asked questions
- What is the typical career path for a Data Analyst at lemlist?
- At lemlist, a Data Analyst can expect to significantly impact business strategy by driving the data culture. Progression involves deepening expertise in KPIs like Acquisition, Activation, Usage, and Churn, supporting C-level decision-making, and potentially expanding into areas like developing a 360° customer dashboard. The environment fosters growth through direct collaboration with senior data professionals and leadership.
- What specific data tools and technologies are used by the lemlist data team?
- The lemlist data team utilizes a modern data stack. Key technologies mentioned include GCP suite (specifically BigQuery), DBT core, and visualization tools such as Holistics, Metabase, and Looker. Experience with Jupyter Notebooks is also valuable.
- How does lemlist foster a data-oriented culture?
- lemlist aims to make everyone more data-oriented by ensuring no decision is made without relevant data. The Data Analyst plays a key role in building and maintaining data visualizations, dashboards, and a Data Catalog to make insights accessible. Training teams on BI solutions and supporting content creation with analysis are also crucial.
- What is expected in terms of data quality and consistency at lemlist?
- Maintaining long-term data quality, accuracy, and consistency across all analytics systems is a core responsibility for the Data Analyst. This involves understanding business processes, making data sources reliable, and documenting metrics within a Data Catalog or Data Bible.
- What kind of ad-hoc data requests can a Data Analyst expect at lemlist?
- A Data Analyst at lemlist will respond to ad-hoc data requests from various departments including Sales, Marketing, Product, Operations, and Customer Experience. These requests support timely decision-making and problem-solving across the company.
- How does lemlist support its employees' well-being and professional development?
- lemlist offers competitive compensation, including a company bonus, 38 days of holidays, comprehensive medical coverage through Alan Blue, meal tickets via Swile, and fully covered Navigo card. They also provide necessary equipment and organize annual team-building events globally.
- What are the language requirements for the Data Analyst role at lemlist?
- Fluency in both French and English is required for the Data Analyst position at lemlist. This ensures effective communication within the diverse international team and with stakeholders.
- Is this Data Analyst role remote or hybrid?
- The Data Analyst role is based in Paris and offers a hybrid work arrangement, with options for both Paris office presence and remote work. This provides flexibility while maintaining team collaboration.