Data Strategist
1 day ago
We are a pioneering company in the construction industry, shaping the future of data-driven decision-making. With large-scale projects worth billions of dollars and smaller programs valued at $50 million, our primary challenge lies in collecting, accessing, and utilizing data to inform business decisions.
This role offers the opportunity to shape our data strategy by exploring various data sources, datasets, and running advanced analytics to support customer decisions.
Key Responsibilities:
- Developing and implementing data strategies to drive business growth
- Exploring different data sources and datasets to inform business decisions
- Running advanced descriptive, predictive, and prescriptive analytics using Jupyter Notebook and Python
- Collaborating with cross-functional teams to identify and pitch potential data sources
- Documenting data workflows, policies, standards, and procedures
- Creating and updating pipeline documentation
- Setting up customer dashboards and reconfiguring business processes
To succeed in this role, you will need:
- Undergraduate or Master's degree in a quantitative field (e.g., mathematics, engineering, statistics, or similar)
- 2+ years of work experience in quantitative data analysis and complex problem-solving
- Proficiency in SQL, Python, and experience with Quicksight, PowerBI, Tableau, Jupyter Notebook, or data visualization tools
- Experience working with APIs to ingest data from construction systems
We provide a competitive salary of $120,000 per year, flexible paid time off, medical, dental, and vision benefits, and a flexible career path.
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