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Role Summary
A hands-on data analyst who turns operational data into insight, working across the portfolio of acquired
businesses to find patterns, inefficiencies, and opportunities to improve how the business runs. Part analyst,
part product partner: surfaces insights for operators and leadership, supports the development of internal data
products for our own users, and acts as a quality gate on inbound data from newly acquired companies.
Contributes to ETL where needed, but the centre of gravity is analysis and insight, not pipeline-building.
Works largely solo and across multiple businesses at once.
Responsibilities
Explore operational data to find insights, patterns, and opportunities to improve operational efficiency and communicate them clearly to operators and leadership.
Support the development of data products for internal users — defining metrics, shaping
requirements, and validating outputs alongside engineering.
Perform quality analysis on inbound data from acquired companies: profiling, reconciliation, validation
against source, and spotting anomalies before they reach our systems. Use AI tooling to accelerate
and strengthen validation.
Help with ETL — contributing to transformation logic, mappings, and data preparation, working with
the engineering team and any external data vendor.
Levels is an equal opportunity employer. We welcome applications from all qualified candidates regardless of background, and we're committed to building a diverse and inclusive team.