AAA-The Auto Club Group · 2 days ago

Remote - Lead Workforce Data Analyst

United States

Full-time

Remote

Senior Level

$81K/yr - $127K/yr

5+ years exp

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Responsibilities

Work within both structured and unstructured data environments to query, dissect, and assemble complex datasets using tools such as SQL, PowerBI, Tableau, Looker Studio, Google Cloud Platform, Excel, PowerPivot etc.

Leverage statistical modeling including linear and multivariate regressions to answer complex relational questions of causality and correlated events.

Provides quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers in order to drive business decisions and address business questions.

Business Expertise: Partners with peer groups, business partners, and subject matter experts to learn business areas/domains to help solve deep operational problems through data.

Current State, Future State, and Gap Analysis: Document and assess current state processes.

Gather Requirements: Responsible for fact-based requirement gathering to understand which data elements are needed to tell the story and drive outcomes.

Project Management: Ability to use project management principles to successfully complete and advance work.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLData AnalysisPowerBITableauExcelSASSPSSLooker StudioETL ProcessesWorkforce ManagementProject Management

Required

Bachelor's degree in Computer Science, MIS, Mathematics, Statistics, Business or a related field.

5+ years of reporting and/or scorecard management experience leverage SQL as the primary tool

5+ years of hands-on experience supporting complex data analysis within a service center environment

Expertise in SQL, MS Excel, SAS, SPSS

Expertise in data visualization software such as PowerBI, Tableau, and Looker Studio

Ability to access, gather, and analyze data from multiple internal and external sources to drive insights into business problems, decisions, and performance

Ability to articulate this knowledge as an expert at the department level and may be called on to provide insight at the enterprise level to provide detailed analysis

Ability to lean on strong communication skills to influence outcomes while approaching conflict with organizational savviness

Solves problems in straightforward situations; analyzes possible solutions using technical experience, data analytics, judgment, and precedent.