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Data Analytics Manager Jobs in Barrie, ON (NOW HIRING)

Financial Data Analyst

Barrie, ON · On-site

CA$45K/yr

Utilize database management tools to perform data mining and analysis. * Design, develop, and maintain data models, dashboards, and reporting solutions. * Analyze data and present findings, trends ...

Manager, Enterprise Analytics

Newmarket, ON · On-site

CA$69.20 - CA$82.26/hr

Shape Data Governance as an enterprise-wide framework of people, policies, processes, and standards that ensures the secure, high-quality management of clinical, corporate, and operational data ...

Lead, support, and develop a team of two analysts focused on financial analysis, budgeting, reporting support, and data/report automation * Manage the preparation and delivery of financial reports ...

Lead, support, and develop a team of two analysts focused on financial analysis, budgeting, reporting support, and data/report automation * Manage the preparation and delivery of financial reports ...

Strong proficiency in financial management software and ERP systems (e.g., SAP, data warehouse). Advanced Excel and PowerPoint skills and familiarity with data analysis tools (e.g., Power BI, Tableau)

Technical Operations Analyst

Collingwood, ON · Hybrid

CA$110K - CA$135K/yr

Strong analytical thinking - you can hold complexity, work across data from disparate sources, and arrive at a coherent picture. * Good communication and stakeholder management skills - you know how ...

... by providing settlement data, analysis, and subject matter expertise. * Create and maintain ... Manage staff performance, scheduling, workload distribution, and training to meet billing and ...

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Data Analytics Manager information

See Barrie, ON salary details

$46.3K

$116.8K

$179.3K

How much do data analytics manager jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data analytics manager in Barrie, ON is $116,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,145.00 and $135,953.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
What are the most commonly searched types of Data Analytics jobs in Barrie, ON? The most popular types of Data Analytics jobs in Barrie, ON are:
What cities near Barrie, ON are hiring for Data Analytics Manager jobs? Cities near Barrie, ON with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Barrie, ON as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 81% In-person, 8% Hybrid, and 11% Remote job distribution, with an average salary of $116,786 per year, or $56.1 per hour.

Financial Data Analyst

Northlake Financial ULC

Barrie, ON • On-site

CA$45K/yr

Full-time

Medical, Dental

Posted 26 days ago


Job description

About Northlake Financial

Northlake Financial team is growing! If you are a committed and collaborative professional looking to contribute to a hard-working, innovative team, this opportunity is for you.


Why Work for us?

Northlake understands the needs of its employees. Northlake Financial is revolutionizing the Canadian automotive finance industry with a full spectrum of dynamic rates and services for dealers. We specialize in the acquisition and servicing of prime and subprime automotive financing contracts. Our employees flourish in an exciting and engaging environment.


Purpose of a Data Analyst

The Data Analyst is responsible for collecting, analyzing, and interpreting data to support strategic and operational decision-making across the organization. This role requires a strong analytical mindset and the ability to leverage data, statistical methods, and technology to identify trends, improve business performance, and provide actionable insights to leadership.

Number of Positions Available: 1

Office Location:Barrie, ON (This role does not provide remote or hybrid work).


Responsibilities of a Data Analyst

  • Utilize database management tools to perform data mining and analysis.
  • Design, develop, and maintain data models, dashboards, and reporting solutions.
  • Analyze data and present findings, trends, and recommendations to management.
  • Generate and distribute daily, weekly, monthly, and ad hoc reports for department leaders.
  • Conduct data integrity reviews and ensure the accuracy and reliability of reporting.
  • Monitor key performance indicators and identify opportunities for operational improvement.
  • Manage relationships with third-party IT and technology service providers.
  • Participate in corporate strategic initiatives and cross-functional projects.
  • Ensure all reporting deadlines and deliverables are met in accordance with established timelines.
  • Identify and implement continuous improvement opportunities related to data collection, reporting, and analysis.
  • Consistently act in a manner that reflects positively on the organization and complies with company policies and procedures.

Requirements of a Data Analyst

  • Ability to work on-site at the designated company location.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Demonstrated attention to detail and commitment to data accuracy.
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
  • Strong organizational and time-management skills.
  • Ability to work independently and collaboratively within a team environment.
  • Commitment to continuous learning and professional development.
  • Customer-focused approach with a high level of accountability and professionalism.

Qualifications of a Data Analyst

  • College diploma, university degree, or higher in Data Analytics, Computer Science, Statistics, Mathematics, Information Technology, Business Analytics, or a related field.
  • Minimum 2 years of experience in a data analysis, reporting, or business intelligence role.
  • Advanced proficiency in Microsoft Excel.
  • Experience working with databases, SQL, and data visualization/reporting tools such as Power BI, Tableau, or similar platforms.
  • Knowledge of statistical analysis and data modeling techniques.
  • Experience creating dashboards, reports, and data-driven recommendations for business stakeholders.
  • Familiarity with data governance and data integrity best practices is considered an asset.

Compensation of a Data Analyst

  • Base Salary starting at $45,000annually
  • Paid Wellness Days
  • Your Birthday Off
  • Comprehensive Benefits Package including health and dental coverage
  • Employee Assistance Program (EAP) for mental health and wellness support
  • Bonusly employee recognition and rewards platform


Northlake Financial appreciates all interest in this opportunity. We are an equal opportunity employer, and all employment decisions are based on business needs, job requirements, and individual qualifications. We do not discriminate on any grounds protected by applicable federal, provincial, or territorial human rights legislation.


Northlake Financial is committed to providing reasonable accommodation to applicants with disabilities throughout the recruitment process,in accordance withapplicable accessibility legislation.Applicants requiring accommodation are encouraged to notify the hiring manager.

Artificial Intelligence (AI) in Recruitment:NorthlakeFinancial may use artificial intelligence (AI) tools to support the screening and evaluation of applications. These tools are used toassist, and notreplace,human decision-making.

All applicants must be legally eligible to work in Canada. Proof ofeligibility will berequiredupon hire.


Data analysis, SQL, Python, Excel, data visualization, Power BI or Tableau, credit risk analysis, portfolio performance analysis, delinquency and charge-off analysis, loan data, forecasting, data-driven decision making, loan origination systems, ETL, data pipelines, KPI reporting, regulatory compliance, fraud detection