Data Analyst: AI-Driven Analytics & Dashboards

United States Digital Space LLC; United States; Remote; USD 31,000 - 76,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Analyst to drive business outcomes through analytics in a fast-growing environment. You will partner with stakeholders across Product, Engineering, Finance, Sales, Marketing, Support, Legal, and People Ops to define metrics, build reporting solutions, and deliver actionable analysis.

You will write SQL queries, develop dashboards, perform exploratory analyses, and contribute Python-based analytics workflows to support data-informed decision

Qualifications

• Degree in statistics, math, actuarial science, economics, data science, or computer science or related quantitative discipline.
• Master’s degree or 3+ years of professional experience working with data.
• Expert in using SQL to extract data and create actionable data sets.
• Experience with Python for data processing and analytics.
• Experience with data visualization tools such as Redash, Tableau, Looker or Power BI.
• Ability to complete analyses with minimal guidance.
• Fluent in English.

Responsibilities

• Work closely with business teams to understand their priorities and analytics needs.
• Create sophisticated analyses and reporting to provide insights at scale that support strategic initiatives and empower data-informed decision-making.
• Visualize and articulate analytics results to make it easy for stakeholders to interpret and take actions.
• Help stakeholders identify new opportunities through data analysis.
• Create, monitor, review, and analyze reports and dashboards, fix issues, and conduct root cause analyses.
• Utilize modern AI tools, including LLMs, copilots, and workflow automation platforms, to enhance analytical productivity and develop scalable solutions.

Job description

United States Digital Space LLC is seeking a Data Analyst to drive business outcomes through analytics in a fast-growing environment. You will partner with stakeholders across Product, Engineering, Finance, Sales, Marketing, Support, Legal, and People Ops to define metrics, build reporting solutions, and deliver actionable analysis.

You will write SQL queries, develop dashboards, perform exploratory analyses, and contribute Python-based analytics workflows to support data-informed decision