Business Intelligence Analyst

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

This is a remote position. The applicant can be anywhere in the country of the posting and must be eligible to work from there.

As a Business Intelligence Analyst/Engineer, you will build our business analytics vertical and drive insights that lead to step-function operational improvements. In this role, you will partner with leadership and teams from across the business—from sales to finance—to help unpack ambiguous problems and build lasting, scalable analytics solutions. Your work will vary from one-off investigations to building core dashboards and tables, and it will directly evolve how Scale operates and measures itself. We are looking for candidates who are incessantly curious and who love creating insights out of ambiguity.

You will:

• Collaborate with leadership, finance, marketing, and sales teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making
• Work closely with other teams to investigate problems, uncover root causes, and drive quantitative solutions
• Measure and effectively communicate results to the entire organization
• Help operators across the business better understand our customers, taskers, and pipeline efficiency
• Develop repeatable, scalable analytical solutions, such as dashboards, models, or better underlying tables

Ideally you'd have:

• 2+ years of relevant work experience in a role requiring application of data and analytics to business problems
• Mastery of SQL and relational databases; experience with scripting languages (e.g., Python/R),
• Experience with BI tools (e.g., Tableau), and Excel preferred
• Experience designing and building dashboards (Tableau) - understanding which metrics are most meaningful to the business and the cadence required to measure them
• Excellent communication and data visualization skills, and the ability to convey complex ideas succinctly
• Ability to initiate and drive projects to completion with minimal guidance