Data Analyst II

New

JobgetherVehicle auctions

This is a remote U.S. opportunityFull-TimeMiddle

Salary$67,100–$100,700 base salary, with actual compensation varying based on location, knowledge, skills, abilities, and other relevant factors.

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Job Details

Experience: 2+ years of relevant experience; at least 2 years of experience building and maintaining reports and dashboards, troubleshooting or supporting web-based applications, and working with databases and database query tools.
Required Skills: AWSSQLMicrosoft Power BIMicrosoft SQL ServerOracleSnowflakeMicrosoft Excel

Have a bachelor’s degree in a related discipline plus 2+ years of relevant experience, or an equivalent combination of education and professional experience.
Have at least 2 years of experience building and maintaining reports and dashboards.
Have at least 2 years of experience troubleshooting or supporting web-based applications.
Have at least 2 years of experience with databases and database query tools, including Snowflake.
Have experience with SQL, Alteryx, Snowflake, AWS, and Power BI; Power BI experience is required.
Have experience performing data analysis and building data processes.
Demonstrate strong SQL capabilities, including stored procedures and databases such as Oracle, Microsoft SQL Server, or DB2.
Have experience working with large-scale datasets and conducting quantitative and qualitative analysis.
Be able to present data, insights, and recommendations effectively to leadership.
Know data extrapolation, interpretation, visualization, and chart development.
Have strong proficiency with Microsoft Office, particularly Excel and PowerPoint, for business analysis and reporting.
Be able to translate complex data into meaningful business insights and actionable recommendations.
Have strong written, verbal, and listening communication skills.

Analyze service operations and the vehicle auction lifecycle by defining business questions, sourcing and transforming data, examining trends, and creating visualizations.
Translate analytical findings into conclusions, recommendations, and data stories for business stakeholders and leadership.
Build and maintain reporting solutions, dashboards, recurring analyses, and data visualizations for operational decision-making.
Partner with engineering and data teams to identify data sources, develop queries, and support analytical initiatives.
Assist data science and data engineering teams with problem definition, data sourcing, feature identification, outcome measurement, and analysis performance.
Lead or contribute to improvements to data processes, pipelines, data quality, and delivery mechanisms.
Coordinate with data suppliers and development teams on data inputs, outputs, transformations, and reliable data flows.
Define and monitor KPIs, track deliverables, measure outcomes, and communicate progress to leadership.
Support product management by researching service, pricing, and repair data opportunities and identifying potential features and differentiation.

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