Assocaite Data Analyst

Payrate: $43.00 - $45.00/hr.
 
Summary:
This position involves leading discovery sessions with engineering and functional SMEs to understand business problems, users, controls, and desired outcomes. The role requires documenting current-state and future-state processes, identifying opportunities for standardization and automation, and translating business needs into practical solutions.
 
Responsibilities

• Lead discovery sessions with stakeholders to understand business problems, users, controls, and desired outcomes.
• Document processes, requirements, scope, assumptions, dependencies, and acceptance criteria.
• Identify manual effort, data-quality issues, process risk, and opportunities for standardization and automation.
• Translate business needs into solution concepts, user stories, process maps, data requirements, and implementation plans.
• Define success measures such as time saved, adoption, data quality, compliance, safety, risk reduction, or cost avoidance.
• Develop business cases and recommendations balancing user value, maintainability, governance, and delivery effort.
• Collaborate with stakeholders to document and translate business requirements into process maps, business models, and technical requirements.
• Define product vision, roadmap, priorities, and success metrics.
• Prioritize features and enhancements based on business value, user needs, risk, and delivery feasibility.
• Ensure alignment between digital solutions, engineering strategy, enterprise architecture, and operational outcomes.
• Conduct business analysis across engineering sites, business partners, and affiliates.
• Facilitate complex, cross-functional process-mapping, prioritization, and improvement sessions.
• Design and prototype dashboards, automations, integrations, and AI-assisted solutions addressing validated business needs.
• Develop and maintain Power BI reports, data models, Power Query transformations, DAX measures, and user-focused visualizations.
• Use Power Automate, SharePoint, Smartsheet, APIs, and related integration tools to automate workflows and improve data accessibility.
• Apply practical AI and document-intelligence patterns, including retrieval, extraction, classification, summarization, and human-in-the-loop review.
• Work with SQL, Python, Databricks, and other data-engineering tools to clean, reconcile, transform, and prepare data for analysis and automation.
• Lead or support multiple concurrent projects from discovery through prototype, customer validation, deployment, documentation, and continuous improvement.

 
Qualifications

• Experience in problem framing and prioritization, quickly identifying high-value pain points and translating them into digital use cases.
• Agile prototyping and digital fluency, comfortable building and testing solutions using tools like Power BI, Power Apps, automation, AI, data analytics, or low-code platforms.
• Strong stakeholder engagement and change adoption skills, working closely with engineers and end users to communicate benefits and drive adoption.
• Ability to take ownership of projects and drive them forward within a team-based environment.

 
Skills

• Industry experience in data analysis and digital solution development.
• Proficiency in SQL and data analytics.
• Basic AI engineering experience.
• Ability to translate basic requirements into effective solutions.

 
Pay Transparency: The typical base pay for this role across the U.S. is: $43.00 - $45.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 
 
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