Lead high-difficulty AI projects, manage quality across multiple projects, and mentor junior data scientists.
About this role
ANDPAD hires a data analyst to use accumulated construction site data to support decision-making across departments. As more companies use the platform, data on work stages and craftspeople's site histories is piling up, and the company wants new uses of it, including new businesses and improvements to clients' work looking three years ahead.
The analyst works with engineers across teams and also strengthens corporate planning from the data side: market-by-market strategy planning, execution and monitoring, and the continuous rollout of new measures in a fragmented market.
Required are agreement with the company's mission and values, the ability to finish projects with colleagues, experience completing data analysis projects, results that go beyond visualization such as improving internal or external business processes or designing and running KPIs or OKRs, programming for data retrieval and preprocessing in Python, R, Julia or SQL, and basic statistics including confidence intervals, tests and effect sizes. Preferred are turning other teams' problems into analysis problems, managing analysis projects or teams, finding latent company problems, ETL in Python or Java, dbt or Dataform, and data modeling such as star schemas.
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