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Business Intelligence Analyst

Job in Livonia, Wayne County, Michigan, 48153, USA
Listing for: AAA Life Insurance Company
Full Time position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
  • Business
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below

Overview

We need an ambitious, curious leader to become a Business Intelligence Analyst on the Automation and AI Team to help drive the biggest change in the company’s history.

Responsibilities
  • Access and leverage data from across the organization to develop automated, easy-to-understand reporting and analytics solutions
  • Develop and maintain Power BI dashboards, scorecards, and operational reporting to provide visibility into business performance and transformation initiatives
  • Perform ad hoc analyses to answer business questions, identify trends, uncover inefficiencies, and highlight operational risks and opportunities
  • Assist in analyzing data to evaluate process effectiveness and performance across multiple operational dimensions
  • Support automation and AI initiatives by quantifying opportunities, measuring impact, and tracking adoption and outcomes
  • Build presentations, dashboards, and scorecards for leadership and internal executives based on analytical insights and operational metrics
  • Actively participate in data transformation initiatives, including the development of automated and standardized data flows from source systems to reporting solutions
  • Support the development, implementation, testing, documentation, and ongoing validation of reporting and data processes aligned to organizational KPIs and metrics
  • Help develop analytical approaches leveraging statistical methods, scenario planning, and model development to optimize business outcomes
  • Proactively identify opportunities to increase productivity, reduce costs, and improve internal processes through data-driven insights
  • Collaborate closely with business, analytics, and technical teams to improve data accessibility, reporting quality, and operational transparency
  • Provide analytical support for annual sales planning metrics as they relate to operational capacity, staffing, and resource planning
Core Competencies
Analytical Thinking & Problem Solving

Ability to break down complex operational problems and uncover actionable insights through data.

Business Intelligence & Data Visualization

Develop meaningful dashboards, scorecards, and reporting that drive operational awareness and decision‑making.

Curiosity & Continuous Improvement

Naturally questions assumptions and proactively identifies opportunities to improve productivity, reporting, and business performance.

Technical & Business Translation

Effectively translates business questions into analytical solutions and communicates findings clearly to both technical and non‑technical audiences.

Data Management & Reporting Accuracy

Ensures data integrity, reporting consistency, and ongoing validation of operational metrics and KPIs.

Execution & Accountability

Delivers accurate, high‑quality reporting and follows through on commitments in fast‑moving environments.

Collaboration & Influence

Builds strong partnerships across business and technical teams and influences decisions through insight and credibility.

Qualifications
Required Education/Experience
  • Bachelor’s degree in business, finance, statistics, economics, applied mathematics, information systems, or a related technical field from an accredited university
  • Minimum of 3 years of experience working in analytics, business intelligence, operations, planning, or a related analytical role
  • Minimum of 2 years of experience developing dashboards and reporting solutions using Power BI or similar business intelligence tools
  • Intermediate to advanced experience using Excel, including formulas, lookups, pivot tables, formatting, and data analysis techniques
  • Experience analyzing and interpreting data from multiple systems and data sources to identify trends, patterns, and operational insights
Preferred Qualifications
  • Experience using SQL, Python, R, or similar tools to analyze data and present insights
  • Experience building automated reporting solutions, scorecards, and operational dashboards
  • Experience supporting operational metrics, KPI development, staffing models, or performance measurement initiatives
  • Data visualization, dashboarding, and querying expertise across large or complex datasets
  • Exposure to automation, AI, or enterprise data transformation initiatives
  • Diverse analytical…
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