Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Apply by
- Oct 23, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Not Applicable
Job summary
Analyze complex datasets to identify trends and provide actionable recommendations that support business decisions and improve operational efficiency. Develop and maintain data models, dashboards, and visualizations; collaborate with cross-functional teams; ensure data quality; and document methodologies and processes.
Job details
As a Sr. Data Analyst, you will work within the Technology department to analyze and interpret complex datasets to support decision-making processes. Your role will involve developing data models and creating visualizations to provide actionable insights for stakeholders in the industrial and manufacturing sectors. Client Details A company in the industrial and manufacturing sector based in Winnipeg. Description Analyze large datasets to identify trends and insights that drive business decisions. Develop and maintain data models, dashboards, and visualizations for various stakeholders. Collaborate with cross-functional teams to understand data needs and provide solutions. Ensure data quality and integrity through regular audits and troubleshooting. Provide recommendations based on data analysis to optimize operational efficiency. Support the implementation of data-driven strategies within the company. Document methodologies and processes for future reference and training purposes. MPI does not discriminate on the basis of race, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, or based on an individual's status in any group or class otherwise protected under applicable human rights legislation. MPI encourages applications from minorities, women, the disabled and all other qualified applicants. Profile A successful Sr. Data Analyst should have: A strong background in data analysis, data modelling, and visualization tools. Proficiency in tools such as SQL, Python, R, or similar technologies. Excellent problem-solving skills and attention to detail. Strong communication skills to present findings effectively to stakeholders. An ability to work collaboratively in a cross-functional team environment. Job Offer Competitive salary ranging from $85000 to $95000 CAD. Permanent position with growth opportunities in Winnipeg. Benefits package to be determined. If this role aligns with your experience, we encourage you to apply. MPI does not discriminate on the basis of race, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, or based on an individual's status in any group or class otherwise protected under applicable human rights legislation. MPI encourages applications from minorities, women, the disabled and all other qualified applicants
What you’ll do
Analyze complex datasets to identify trends and provide actionable recommendations that support business decisions and improve operational efficiency. Develop and maintain data models, dashboards, and visualizations; collaborate with cross-functional teams; ensure data quality; and document methodologies and processes.
Requirements
Candidates should have a strong background in data analysis, data modeling, and visualization, with proficiency in SQL, Python, R, or similar technologies. Strong problem-solving, attention to detail, communication, and collaboration skills are also required.
Listed skills
- Data analysis · Preferred
- Data visualization · Preferred
- SQL · Preferred
- Python · Preferred
- Problem solving · Preferred
- Attention to detail · Preferred
- Communication · Preferred
- Cross-Functional Collaboration · Preferred
- Operational Efficiency · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Analysis
- Data Modeling
- Data Visualization
- SQL
- Python
- R
- Problem-Solving
- Attention To Detail
- Communication
- Cross-Functional Collaboration
- Data Quality
- Data Auditing
- Dashboard Development
- Operational Efficiency
Job areas
- Data & Analytics
- Technology
- Manufacturing
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