Note: The job is a remote job and is open to candidates in USA. Dale WorkForce Solutions is recruiting for a Data Analyst, Associate role supporting a large biotech client. The role leads business discovery and requirements analysis while designing dashboards, automations, integrations, and AI-enabled solutions. It also develops Power BI reporting and data models, uses SQL and Python for data preparation, and supports projects through deployment and continuous improvement.
Responsibilities
- Lead discovery sessions with engineering and functional SMEs to understand business problems, users, controls, and desired outcomes
- Document current-state and future-state 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 practical 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 that balance user value, maintainability, governance, and delivery effort
- Collaborate with stakeholders to elicit, 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 that address 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, synchronize files, 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
- Engage: Meet engineers and business users to understand pain points, manual work, data gaps, and improvement opportunities
- Prioritize: Assess opportunities based on business value, effort, feasibility, and speed to impact
- Build: Develop rapid digital solutions—dashboards, workflow automation, low-code apps, analytics, or AI-enabled tools
- Test & Deploy: Work with users to test solutions, gather feedback, iterate quickly, and move successful prototypes into use
- Drive Adoption & Value: Support users, track usage and benefits, document outcomes, and identify opportunities to scale or reuse solutions
Skills
- Bachelor degree OR Associate degree and 4 years of experience OR High school diploma / GED and 6 years of experience
Benefits
- Remote work arrangement
- W2 contract employment
Company Overview