Analytics Engineer, Spendesk
Contract
Company spend management platform
Be an early applicant
Company spend management platform
201-500 employees
Be an early applicant
201-500 employees
Company mission
To liberate businesses and people to do their best work.
Role
Who you are
- This role requires an engineer who can translate business requirements into robust data models, implement best practices for data transformation, and create analytics solutions that scale with our business growth.
- 3-5 years of experience in analytics engineering, data analytics, or related data roles
- Proven track record of building data models and transformations in production environments
- Experience working with business stakeholders to translate requirements into technical solutions
- Background in implementing data quality testing and monitoring practices
- Expert proficiency in SQL and advanced capabilities
- Hands-on experience with dbt for data transformation and modeling
- Experience with cloud data warehouses (Snowflake)
- Experience with data quality testing frameworks (e.g. dbt tests)
- Proficiency in version control systems (Git, GitHub)
- Understanding of dimensional modeling concepts and best practices
- Strong understanding of business intelligence and analytics concepts
- Experience with data visualization tools and self-service analytics platforms
- Ability to translate business requirements into technical data solutions
- Knowledge of statistical concepts and data analysis methodologie
- Experience creating data documentation and maintaining data catalogs
What the job involves
- Spendesk is seeking a skilled Analytics Engineer to join our growing data organization
- Reporting to the Head of Data, you will be responsible for transforming raw data into business-ready datasets, building dimensional models, and enabling self-service analytics across the organization.
- As an Analytics Engineer, you will bridge the gap between data engineering and data analysis/business team by creating clean, documented, and reusable analytics assets.
- You'll work closely with Data Engineers, Data Scientists, and business stakeholders to implement data quality testing, build dimensional models, and enable data-driven decision making throughout Spendesk
- Our data platform rely on: dbt (core and Cloud), Snowflake, Looker (original), Metabase, and Amplitude for Product analytics For the ingestion/exposure: Airbyte (cloud), Fivetran, Airflow, Hightouch, Segment
- We use Github for versioning, CI/CD, and Synq for observability
- Transform raw data into business-ready datasets using dbt and modern data stack tools
- Build and maintain dimensional models that serve BI and Product needs
- Implement business logic and calculations in the data transformation layer
- Create reusable analytics assets that can be leveraged across multiple use cases
- Ensure data models follow best practices for performance, maintainability, and scalability
- Implement comprehensive data quality testing using dbt tests
- Develop and maintain data quality monitoring and alerting systems
- Create data validation rules that catch issues before they impact business decisions
- Establish data quality metrics and SLAs for analytics datasets
- Collaborate with all stakeholders to resolve data quality issues at the source
- Enable self-service analytics by creating intuitive, well-documented data Models
- Partner with business and product stakeholders to understand analytics requirements and translate them into technical solutions
- Build metric definitions and calculations that ensure consistency across the organization
- Create data documentation and maintain data catalogs for business and product stakeholders
- Provide training and support to stakeholders on analytics tools and data interpretation
- Work closely with analysts and data scientists to provide analysis-ready datasets
- Collaborate with business stakeholders to understand requirements and design appropriate data solutions
- Partner with Data Engineers to ensure optimal data pipeline design and performance
- Communicate technical concepts clearly to both technical and business audiences
Application process
- As we are an international team, please submit your application and CV in English
Our take
Spendesk is an all-in-one spend management solution created to deliver more control, visibility, and automation to today's finance teams. Top startups like Drivy, Konbini, Dataiku or Deezer are already customers of Spendesk.
With flexible payments, approvals, automated receipt capture and real-time spend insights, the company specifically allows finance teams to decentralise operational spending across the business without any loss of control or visibility. Employees benefit from streamlined expense and invoice management through the Spendesk website and app.
Expense management platforms are becoming an increasingly crowded space, with competitors like Soldo and Expensify also building similar products. Spendesk will have to keep innovating its offerings to stay relevant. But with substantial funding to its name along with a number of strategic partnerships (including Visa), the company is making sure it stays ahead of the competition.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
53% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jan 2022
$117.5m
SERIES C
Jul 2021
$117.5m
SERIES C
Total funding: $303.1m
Company benefits
- Transport reimbursement: Monthly contributions to your transport card (metro, bus or train)
- Offsites and events: Regular team events to exchange with other Spendeskers and get to know each other better
- Annual leave: 28 days per year to rest and relax
- €50 on your Spendesk card: To buy anything you need for work
- For Spendeskers with kids: Generous parental leave & a lot of flexibility for working parents
- Great offices: In the hearts of Berlin, London, Madrid, and Paris
Company HQ
L'Europe, Paris, France
Leadership
Axel Demazy
(CEO)Joined Spendesk in 2024 as CEO. Prior to this, they spent over 4 years at Jellsmack as the COO and General Manager and over 8 years at the Boston Consulting Group as a Partner.
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