Automation Specialist

2 days ago

Winnipeg, Manitoba, Canada StrongPoint Automation Inc. Full-time
We are hiring for a Senior Data Analyst to join our team

CA$100,000.00 yearly

Full-time

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, analyzes, 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 clear data definitions, business rules, data standards, and quality checks.

Ensure data used in reports and analysis is accurate, complete, consistent, and aligned with approved d