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Data And Analytics Jobs in Manitoba (NOW HIRING)

Data Analysis & Opportunity Identification * Analyze operational performance data and key performance indicators (including courier utilization, complaints, and delivery reliability) to identify ...

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

Senior Architect - Data & AI

Winnipeg, MB ยท Hybrid

CA$115K - CA$160K/yr

Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation, and CI/CD. Experience designing on a modern lakehouse platform (Databricks preferred) using medallion ...

This role blends data management, pricing support, market analysis, and insight generation to support both client retention and growth. Working closely with the National Director, Group Retirement ...

Develop, maintain, and enhance reporting tools, dashboards, and data models using Excel, Power Query, and other analytical tools. * Assist with the development and continuous improvement of ...

Data Scientist

Winnipeg, MB ยท On-site

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Mine data and utilize analytics to develop pricing and inventory strategies across several brands to "beat the market" by stocking better inventory than the competition at the right price to turn ...

Showing results 21-40

Data And Analytics information

What is data and analytics?

Data and analytics refers to the process of collecting, processing, and analyzing large sets of data to extract valuable insights that inform business decisions. This field encompasses techniques such as data mining, statistical analysis, and the use of specialized software tools to interpret trends and patterns. Professionals in data and analytics help organizations make evidence-based choices, improve efficiency, and gain a competitive edge. Their work can impact various areas, including marketing, finance, operations, and more.

What are some common challenges faced by professionals in data and analytics roles, and how can they be addressed?

Professionals in Data and Analytics often face challenges such as managing large volumes of complex data, ensuring data quality, and translating technical findings into actionable business insights. These challenges can be addressed by developing strong data management practices, using robust data cleaning and validation tools, and improving communication skills to present analytics results to non-technical stakeholders. Collaborating closely with cross-functional teams and staying updated on the latest analytics technologies also help in overcoming these hurdles and delivering impactful results.

What are the key skills and qualifications needed to thrive in data and analytics, and why are they important?

To thrive in Data and Analytics, you need a strong background in statistics, data modeling, and analytical reasoning, often supported by a relevant degree in mathematics, computer science, or a related field. Experience with tools and platforms such as SQL, Python, R, Tableau, and data warehousing systems is typically required, and certifications like Certified Analytics Professional (CAP) or Google Data Analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for driving data-driven decision-making and delivering measurable business value.

What is the difference between Data And Analytics vs Data Analyst?

AspectData And AnalyticsData Analyst
CredentialsOften requires degrees in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a bachelor's degree in data-related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentWorks with large datasets, data warehouses, and analytics tools across departmentsFocuses on data cleaning, visualization, and reporting for specific projects
Industry UsageUsed across industries for strategic insights and decision-makingCommonly employed in business, finance, healthcare for operational analysis

While Data And Analytics professionals develop comprehensive data strategies and work with complex tools, Data Analysts focus on interpreting data, creating reports, and providing actionable insights. Both roles are essential but differ in scope and depth of data handling.

Is data and analytics a good career?

Data and analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, and Tableau. It offers opportunities across industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What does a data and analytics job do?

A data and analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Professionals in this field use tools like SQL, Python, or Tableau to interpret data trends and generate reports, often requiring strong analytical skills and knowledge of data management. The role may also include data visualization, data cleaning, and ensuring data accuracy to support strategic planning.

What jobs are there in data and analytics?

Jobs in data and analytics include roles such as Data Analyst, Data Scientist, Data Engineer, Business Intelligence Analyst, and Analytics Manager. These positions typically require skills in statistical analysis, programming languages like Python or R, and familiarity with data visualization tools such as Tableau or Power BI.
Infographic showing various Data And Analytics job openings in Manitoba as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.

Continuous Improvement Specialist

Takeaway

Winnipeg, MB โ€ข Hybrid

Full-time

Posted 12 days ago


Job description

The Continuous Improvement Specialist bridges the gap between operational data and real-world execution. This role is responsible for analyzing courier, customer, and partner performance data to uncover hidden inefficiencies, designing structured "test and learn" pilots, and validating proof-of-concepts before they are scaled across global markets. The ideal candidate thrives on turning complex data into actionable recommendations and running live experiments in a fast-paced, ambiguous environment. Ultimately, this role is critical to optimizing our global logistics footprint, directly impacting courier satisfaction, cost efficiency, and customer loyalty.

Key Responsibilities

  • Data Analysis & Opportunity Identification

    • Analyze operational performance data and key performance indicators (including courier utilization, complaints, and delivery reliability) to identify trends, bottlenecks, and service risks.

    • Quantify and articulate specific areas of opportunity across courier experience and support touchpoints.

    • Partner with data teams to enhance dashboards and reports (utilizing tools like Tableau or SQL) to back all improvement initiatives with hard data.

    • Lead process improvement initiatives focused on service quality, operational efficiency, capacity utilization, and cost reduction.

    • Facilitate process mapping, root cause analysis, Kaizen events, and problem-solving workshops.

  • Pilot Execution & Experimentation

    • Develop and deliver continuous improvement initiatives across all courier experience and courier support touchpoints, ensuring cohesive plans, ongoing measurement and impact to couriers and team members

    • Adopt a strict "test and learn" culture by designing, launching, and managing live pilots to continuously experiment with operational hypotheses.

    • Drive a globalised and aligned approach while adapting for local needs

    • Establish clear success metrics for pilots to quickly determine feasibility for scaling across various markets.

    • Monitor, validate, and report on the realized benefits, cost-effectiveness, and productivity impacts of all implemented pilot programs.

  • Stakeholder Engagement & Scaling

    • Collaborate closely with operations leaders, market teams, and global functions to ensure pilots align with business priorities and local regulations.

    • Clearly present data-driven insights, pilot proposals, and project milestones to key stakeholders and management.

    • Develop current and future-state process documentation to ensure a seamless handoff to Operations, Training and QA teams when a pilot is approved for scaling.

Qualifications & Competencies

  • Experience: 3-4 years of experience in continuous improvement, business analysis, operations management, or logistics.

  • Education: Bachelor's degree in Business, Supply Chain, Operations Management, Data Analytics, Engineering, or a related field.

  • Technical Skills: Strong analytical thinking with a data-driven approach ; experience using Tableau, SQL, or other data analytics tools is highly preferred.

  • Methodologies: Practical experience with Lean principles, root cause analysis, and project management practices.

  • Soft Skills: Exceptional stakeholder management skills ; independent thinker who is proactive and highly comfortable navigating ambiguity.


Why work at Skip?

Skip is the kind of workplace that garnered a "Top Places to Work in Manitoba" and it was no small coincidence. We set out to make this a place our employees are proud to tell their Mothers, Fathers, friends and anyone who will listen that they work here. Skip team members feel pride knowing their input and uniqueness are not only embraced but make an impact on a major Canadian company and its satisfied customers. As the company grows, so do you - you meet and surpass new challenges every day. That's just a small taste of what it's like to work at one of Canada's leading tech companies. If you're hungry for opportunity, growth, and something meaningful in a dynamic, fun and challenging environment, we'd love to hear from you.

SKIP is proud to be an Equal Opportunity employer. We are committed to fostering a diverse and inclusive environment where all employees feel they truly belong and where everyone is included, seen, heard and respected.

In keeping with our values, all applicants will receive consideration for employment regardless of: gender identity or expression, sexual orientation, race, ancestry, national origin, religion, age, marital/domestic partner status, (dis)ability, neurodivergence, or any other characteristic protected by law. Should you require any accommodations throughout the hiring process, we encourage you to reach out to your talent acquisition specialist.

Note:

  • All employees will be asked to sign a Consent for Disclosure of Personal Information in order to complete a background check. Job offers will be conditional upon results that the Company determines to be satisfactory.

  • This is a hybrid role, requiring 3 days per week in our Winnipeg office and 2 days per week working remotely from home.

Employment Type: FULL_TIME