Bumble is expanding its analytics engineering function and we are looking for experienced analytics engineers to help us build out our data infrastructure, ways of working, and modernise our data stack. We are looking for individuals passionate about designing creative solutions to balance bespoke in-house solutions and external tools to best reflect the needs of the data organisation and help drive data governance, quality, availability, and related analytics specific to People or workforce analytics.
WHAT YOU'LL DO:
- You will deliver a robust data model for your chosen domain that abides by best practices and frameworks, helping to aid data discoverability, accessibility, manipulation, and reporting.
- You will be a key partner with data engineering and ETL teams, and translate technical requirements into non-technical outcomes and vice versa.
- You will optimise our reporting to reflect consistency in sources of truth, and align stakeholders in your domain on definitions of metrics and dimensions.
- You will act as translator between business and analyst requirements and applications to the data model.
- You will be a data steward, in charge of the governance, maintenance, and scalability of the data model you own, ensuring smooth communication of updates, changes, and downstream impact.
- You will be an expert in an enterprise visualisation platform, error and data observability tooling, dbt and transformation work, and understand and proselytize on best practices and standards when it comes to efficient querying, automation, and snowflake consumption costs.
- You will practise design thinking when architecting business logic and data models with experience having transformed a normalised database into a consumer facing data infrastructure.
- You will engage with both technical and non-technical stakeholders and team members to define and develop analytical solutions to drive the growth of the business or better attract and retain talent.
- You will collaborate with subject matter experts, data users, and other stakeholders to understand organizational processes and deliver relevant datasets.
- You will provide specialized training as needed to stakeholders within your chosen domain to increase their understanding and working knowledge of relevant tools and processes.
WHO YOU ARE:
- You can break down and explain complex processes, requirements and data pipelines to both technical and non-technical stakeholders. You’ll have demonstrable experience in presenting these solutions to your peers.
- You have worked with multiple data visualisation and transformation tools, with preference for dbt, airflow, fivetran, and tableau/powerbi/looker or similar.
- You have extensive experience with data transformation using dbt, and are either certified or an expert in the tool and its standards.
- You will have extensive experience with documentation using Jira, Confluence, or similar.
- You are an expert in SQL and Python and are willing to upskill teams on best practices.
- You can manipulate large datasets, combining data from multiple sources to obtain the required results.
- You will have a structured mindset and way of working that does not shy away from owning and leading projects using strong project management principles.
- You will have a working knowledge of design thinking & agile methodologies.
- Workday, Lever or other HCM and ATS knowledge.
- Exposure to Version Control software such as git.
BONUS POINTS:
- Strong communication skills and ability to define requirements for data analytics solutions, business intelligence, or analytical consulting preferably in the Human Resources, Talent Analytics or People domain related datasets.
We strongly encourage people of colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply. Bumble is an equal opportunity employer and welcomes everyone to our team. If you need reasonable adjustments at any point in the application or interview process, please let us know.
In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).
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Last updated on Dec 20, 2024