We are hiring for a Senior Data Analyst to join our team

The Senior Data Analyst will work with key business leaders to identify, develop and deliver relevant data, reports and dashboards to support day to day, historical and future operations.

This role will enable decision-makers to make evidence-based decisions, support growth efforts, and identify threats and opportunities through generating and delivering insights and trends.

The Senior Data Analyst has a strong foundation in data analytics, critical thinking skills, and the ability to transform data into actionable insights to support strategic decision-making. The Senior Data Analyst gathers, analyses, and reports data related to the organization's core business performance metrics. This includes both internal and external metrics systems. They are responsible for ensuring data is presented in a clear and actionable manner while supporting site managers with information that assists their decision making.

What We Offer

- This position offers a competitive compensation range. The salary range is $80,000.00 to $95,000.00, and placement within the range will be determined in accordance with company policies and procedures, as well as the candidate's knowledge, skills, qualifications, and relevant experience.
- Comprehensive health and dental benefits
- Other employment perks such as Employee Assistance Program, Perkopolis, Rewards Points
- Inspiring leadership and opportunities for professional growth
- Rewarding and meaningful work in healthcare

What The Role Involves

Data Collection & Analysis

- Lead the collection, validation, and organization of data from multiple internal and external sources
- Analyze complex datasets to identify trends, patterns, risks, gaps,



and opportunities across business and clinical operations
- Interpret data and translate findings into meaningful insights, recommendations, and actions for leadership and operational teams
- Ensure data accuracy, quality, completeness, and consistency across reports, dashboards, and analytical outputs
- Support advanced and ad hoc analysis to respond to organizational priorities, operational questions, and performance improvement needs
- Lead the design, development, and maintenance of dashboards, KPI scorecards, and recurring reports using tools such as Microsoft Excel and Power BI.
- Use SQL, Python, and R to extract, clean, transform, analyze, and prepare data for reporting, dashboards, and business analysis.
- Design, develop, and implement reporting solutions using tools such as AlayaCare Data Exploration to support analysis and decision-making.
- Develop and support AI-enabled tools that help identify trends, summarize data, automate reporting tasks, and support business decision-making.
- Review and enhance existing reporting tools, templates, and dashboards to improve usability, accuracy, and alignment with business needs.
- Provide guidance on reporting methodology, data interpretation, and appropriate use of performance indicators.

Process Improvement & Optimization

- Assess current workflows, reporting processes,



and data practices to identify inefficiencies, gaps, and opportunities for improvement.
- Lead or support process improvement initiatives, automation efforts, and reporting enhancements that improve efficiency and data usability.
- Apply design-thinking and user-focused approaches to improve access to data, reporting tools, and analytical insights.
- Recommend practical solutions to improve reporting processes, reduce manual work, and strengthen consistency across analytics products.
- Support the development of standard processes, templates, and documentation to improve reporting quality and sustainability.

Stakeholder Collaboration

- Partner with Operations and Shared Services teams to understand data needs, define reporting requirements, and deliver meaningful analytics solutions.
- Work closely with Regional Directors and business users to translate operational questions into clear analytical approaches and reporting outputs.
- Communicate findings clearly to both technical and non-technical stakeholders through reports, presentations, and discussions.
- Facilitate conversations with stakeholders to validate requirements, explain methodology, and support data-driven decision-making.
- Promote the effective use of data, dashboards, and reporting tools across the organization.

Data Governance and Data Quality

- Lead or support the development and maintenance of transparent data definitions, business rules, data standards, and quality checks.
- Ensure data used in reports and analysis is accurate, complete, consistent, and aligned with approved definitions and methodologies.
- Work with cross-functional teams

📌 Product Data Governance Lead (Cambridge)
🏢 Rockwell Automation
📍 Cambridge