Sr. Data Analyst

Strategic Staffing Solutions; Detroit (MI); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Strategic Staffing Solutions is seeking a Senior Data Analyst in Detroit, MI (Hybrid) for a 12-month contract. The role leads analytics, AI, automation, and digital transformation initiatives, working with business stakeholders to define requirements, assess opportunities, and build roadmaps for value realization.

The candidate will bridge business, analytics, and technology teams, translating strategic priorities into actionable technical plans and measurable outcomes for growth and efficiency.

Qualifications

• Strong business acumen and stakeholder management abilities.
• Experience with AI, analytics, automation, and digital transformation initiatives.
• PRD development and business case creation.
• Use case evaluation, prioritization, and feasibility analysis.

Skills

SQL

Python

Stakeholder mgmt

AI & analytics

PRD development

Use case eval

Data modeling

Data engineering

Executive comms

Product strategy

Job description

Senior Data Analyst

Location: Detroit, MI (Hybrid)

Duration: 12 Month Contract

Job Summary

The Senior Data Analyst will lead the identification, evaluation, and development of analytics, AI, automation, and digital transformation use cases that deliver measurable business value. This role works closely with business stakeholders to understand strategic priorities, define product requirements, assess opportunities, and develop business cases and implementation roadmaps. The consultant will serve as a bridge between business, analytics, and technology teams to drive successful delivery and value realization.

Key Skills & Experience

• Strong business acumen and stakeholder management skills
• Experience with AI, analytics, automation, and digital transformation initiatives
• Product Requirement Document (PRD) development and business case creation
• Use case evaluation, prioritization, and feasibility analysis
• SQL and Python proficiency
• Statistics, forecasting, experimentation, and decision analytics
• Knowledge of data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality
• Executive-level communication and presentation skills
• Experience translating business requirements into actionable technical requirements

Core Competencies

• Business Acumen
• Product Strategy & Product Management
• Use Case Vetting & Prioritization
• PRD Development
• Feasibility & Viability Analysis
• Statistics & Decision Analytics
• SQL & Python Proficiency
• Data & Solution Architecture Awareness
• Executive Communication
• Value Realization
• Stakeholder Management
• Strategic Road mapping