Data Analyst II
Core
Transform complex operational data into actionable business insights for a high-impact mobile inspection operation, supporting leaders in monitoring performance and making informed decisions.
Role type
Mid-level IC data analyst (analytics & reporting)
Builds
Reporting solutions, dashboards, recurring analyses, and data visualizations
Domain
Automotive service operations / vehicle auction lifecycle
Deliverable
dashboards & analysis
Required skills
SQL, Snowflake, Power BI, Alteryx, AWS, data cleaning, trend analysis, KPI definition, data visualization, stakeholder communication (via careerplan.io/jobs/629d078d-c1c7-4df0-826c-89cc570253df-data-analyst-ii-at-jobgether)
Preferred skills
Stored procedures, Oracle/SQL Server/DB2, large-scale dataset handling, product strategy support, data pipeline improvement
Technologies
Snowflake, AWS, Power BI, Alteryx, SQL, Excel, PowerPoint
Responsibilities
Define business questions, identify data sources, clean and transform datasets, analyze trends, and develop meaningful visualizations; Translate analytical findings into clear conclusions, recommendations, and compelling data stories for business stakeholders and leadership; Build and maintain reporting solutions, dashboards, recurring analyses, and data visualizations that support operational decision-making; Partner with engineering and data teams to identify appropriate data sources, develop queries, and support complex 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 projects that improve data processes, pipelines, data quality, and delivery mechanisms; Define and monitor KPIs, track project deliverables, measure outcomes, and communicate progress to leadership; Support product management by researching opportunities related to service, pricing, and repair data and helping identify new features and sources of differentiation; Prepare, maintain, and update SQL queries and other analytical processes in response to internal business requirements; Coordinate data feeds, integrate disparate datasets, derive metrics, and transform raw information into usable analytical outputs; Develop and validate data-quality monitoring mechanisms, business rules, derived metrics, and reporting models.
