lempire
Senior Analytics engineer
Job Description
About us 👇🏼At lempire, we’re a passionate team on a mission to help individuals and businesses grow.As a B2B SaaS company, valued at $150 million, we have a suite of 5 products:🔵 lemlist: our cold outreach tool, used by 10,000+ users worldwide to find leads & their emails, write campaigns, personalize at scale, and get more customers.🟠 lemwarm: the 1st deliverability tool on the market that helps users reach their audience’s inboxes.🔴 lemcal: our scheduling tool that allows you to create a personalized booking page and reduce no-shows.🟣 Taplio & Tweet Hunter: our tools, used by top influencers like Justin Welsh, to build personal brands on LinkedIn & X (formerly Twitter).lempire is a fast-growing company with $28M+ in revenue, profitable, and 100% bootstrapped.Our mantra: Keep growing! We live by it every day.
MissionThe mission of the Senior Analytics engineer is to drive & leverage the data culture within lempire, so everyone becomes more data-oriented – and no decision is made without the relevant data.
Key ResultsWithin 3 months, you will haveBuilt new major data concepts for the company: Marketing and Sales KPIs, Product Usage, Customer segmentation…Developed new data models using DBT to share, maintain and improve data concept defined upfront.Fully manage our Business Intelligence solution, created your first Dashboards, trained the teams to use it.Answered upcoming punctual data requests arising from all departments (Sales, Marketing, Product, Ops…)Improved significantly the Data culture within lempire.Maintained a Data Catalog / Data Bible to ensure all concepts are well documented.Built an always up-to-date Data Analysis Roadmap accessible by anyone in the company.Within 12 months, you will haveManaged 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 insightsSupported the C-level for strategic decisionsImprove significantly our Customer Data Platform (CDP) by including attributes to enhance our understanding of customers.Created an embedded 360° customer dashboard available in Holistics tool.Contributed to dozens of topics involving the use of Data to make lempire always more efficient.Built a solid Data Catalog and a scalable/robust process from Data Request to Production.
What’s in it for you?Work in a profitable, bootstrapped, and high-growth company that doesn’t rely on external funding to live.Opportunity to be the first Senior Data Analyst in the company, and build everything from early-stage. Work with experienced & highly skilled Data Engineers who have already set up some fundamental bricks of the stack.Impact the business with Data – in a company that has a high volume of business data (20K customers) and in a self-service/PLG environment.Potentially building your own data analyst team if you demonstrate the required qualities and if it makes sense for the company to grow the team.
Preferred experience5+ Years in a Data Analyst, Business Analyst position, in a fast growing environment.Experience in using a modern data stack, using solutions such as : BigQuery, Fivetran, DBT core, Holistics, Jupyter NotebookAdvanced SQL and Python skills and data modellingStrong business accumen – genuine interest in the business.Ability to challenge business teams, and help them formulate their data needs.Knowledge of general IT good practices – maintainable and commented code, GitHub…Strong ability to iterate quickly and find the shortest path to value.Advanced SQL Skills.Recruitment processInterview with Victoire our TAMInterview with Eliott Data EngineerInterview with Charles CEO and Mickaël CTOReference check & Offer
MissionThe mission of the Senior Analytics engineer is to drive & leverage the data culture within lempire, so everyone becomes more data-oriented – and no decision is made without the relevant data.
Key ResultsWithin 3 months, you will haveBuilt new major data concepts for the company: Marketing and Sales KPIs, Product Usage, Customer segmentation…Developed new data models using DBT to share, maintain and improve data concept defined upfront.Fully manage our Business Intelligence solution, created your first Dashboards, trained the teams to use it.Answered upcoming punctual data requests arising from all departments (Sales, Marketing, Product, Ops…)Improved significantly the Data culture within lempire.Maintained a Data Catalog / Data Bible to ensure all concepts are well documented.Built an always up-to-date Data Analysis Roadmap accessible by anyone in the company.Within 12 months, you will haveManaged 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 insightsSupported the C-level for strategic decisionsImprove significantly our Customer Data Platform (CDP) by including attributes to enhance our understanding of customers.Created an embedded 360° customer dashboard available in Holistics tool.Contributed to dozens of topics involving the use of Data to make lempire always more efficient.Built a solid Data Catalog and a scalable/robust process from Data Request to Production.
What’s in it for you?Work in a profitable, bootstrapped, and high-growth company that doesn’t rely on external funding to live.Opportunity to be the first Senior Data Analyst in the company, and build everything from early-stage. Work with experienced & highly skilled Data Engineers who have already set up some fundamental bricks of the stack.Impact the business with Data – in a company that has a high volume of business data (20K customers) and in a self-service/PLG environment.Potentially building your own data analyst team if you demonstrate the required qualities and if it makes sense for the company to grow the team.
Preferred experience5+ Years in a Data Analyst, Business Analyst position, in a fast growing environment.Experience in using a modern data stack, using solutions such as : BigQuery, Fivetran, DBT core, Holistics, Jupyter NotebookAdvanced SQL and Python skills and data modellingStrong business accumen – genuine interest in the business.Ability to challenge business teams, and help them formulate their data needs.Knowledge of general IT good practices – maintainable and commented code, GitHub…Strong ability to iterate quickly and find the shortest path to value.Advanced SQL Skills.Recruitment processInterview with Victoire our TAMInterview with Eliott Data EngineerInterview with Charles CEO and Mickaël CTOReference check & Offer
