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Manager Data Analyst Jobs in London, ON (NOW HIRING)

Alimentiv

Clinical Data Analyst

London, ON · Remote

Reporting Standards Management * Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other ...

CarePartners

Senior Data Analyst

London, ON · On-site

CA$80K - CA$95K/yr

The Senior Data Analyst will work with key business leaders to identify, develop and deliver ... site managers with information that assists their decision making. What We Offer * This position ...

Turo

Senior Data Analyst, Business Intelligence

London, ON · Hybrid

CA$114K - CA$143K/yr

Turo is looking for a Senior Data Analyst to join our Business Intelligence team. You will be the ... You'll manage the backend while shaping the roadmap for how these tools evolve as Turo grows.

Nestle

Purchasing Analyst

London, ON · On-site

Purchasing Analyst Location: London, ON located at 980 Wilton Grove Rd, London, ON N6N 1C7 In ... Maintain accurate technical stores data and support inventory management to ensure material ...

Jolera Inc.

Manager, Backup and Storage

London, ON · Hybrid

Oversee and manage a global team of data protection experts responsible for implementing ... Analyze data protection performance metrics and identify opportunities for improvement ...

McLean & Company

Analyst, Program Delivery

London, ON · Remote

... data analysis, reporting, and troubleshooting. * Experience working with CRM platforms; Salesforce ... experience is considered an asset. * Strong client-service mindset with a proven ability to build ...

KPMG

Senior Manager, HR Analytics

London, ON · On-site

The HR Analytics team, in collaboration with the BES Enterprise Analytics and HR Technology teams ... Support HR data governance and data management practices, ensuring the integrity, quality, privacy ...

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All JobsData Analyst JobsManager Data Analyst JobsManager Data Analyst Jobs in London, ON

Manager Data Analyst information

See London, ON salary details

$19K

$80.3K

$142.4K

How much do manager data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for manager data analyst in London, ON is $80,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,790.00 and $106,169.00 per year, depending on experience, location, and employer.

What does a Manager Data Analyst do?

A Manager Data Analyst oversees a team of data analysts, guiding their work in collecting, processing, and interpreting complex data to help organizations make informed decisions. They are responsible for developing data strategies, ensuring data accuracy, and translating analytical findings into actionable insights for business leaders. In addition to technical expertise, they often collaborate with other departments, manage projects, and mentor team members to support business goals and drive growth.

What are the key skills and qualifications needed to thrive as a Manager Data Analyst?

To thrive as a Manager Data Analyst, you need a strong background in statistics, data modeling, and analytics, often supported by a degree in a quantitative field and experience in data analysis roles. Familiarity with tools such as SQL, Python or R, business intelligence platforms (e.g., Tableau, Power BI), and data management systems is typically required. Leadership, problem-solving abilities, and effective communication skills set standout candidates apart by enabling them to lead teams and translate data insights to stakeholders. These skills are vital for driving data-driven business decisions and ensuring the effective functioning of analytics teams.

How does a Manager Data Analyst typically balance hands-on data analysis with overseeing team projects?

A Manager Data Analyst is often responsible for both performing complex data analysis and managing a team of analysts. Balancing these duties involves delegating day-to-day analytical tasks to team members while focusing on project oversight, strategic planning, and stakeholder communication. Managers frequently review team outputs, provide mentorship, and ensure that data-driven insights align with business objectives. This dual role requires strong organizational skills and the ability to shift between technical work and leadership responsibilities.

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

AspectManager Data AnalystData Analyst
ResponsibilitiesOversees data teams, manages projects, develops strategiesAnalyzes data, prepares reports, supports decision-making
Required SkillsLeadership, project management, advanced analyticsData analysis, SQL, Excel, visualization tools
Experience5+ years, leadership experience often required1-3 years, entry to mid-level
CertificationsRelevant certifications like CAP, PMP beneficialSQL, Excel, Tableau certifications advantageous

The main difference between a Manager Data Analyst and a Data Analyst lies in scope and responsibility. Managers oversee teams and strategic initiatives, while Data Analysts focus on data analysis and reporting. Both roles require strong analytical skills, but managerial positions demand leadership and project management experience.

What are the most commonly searched types of Data Analyst jobs in London, ON?

The most popular types of Data Analyst jobs in London, ON are:

What cities near London, ON are hiring for Manager Data Analyst jobs?

Cities near London, ON with the most Manager Data Analyst job openings:

Manager Data Analyst jobs near you
Infographic showing various Manager Data Analyst job openings in London, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $80,328 per year, or $38.6 per hour.

Clinical Data Analyst

London, ON • Remote

Alimentiv
See more jobs at Alimentivexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical study data reporting and analytics capabilities.  This role will support in the development of advanced analytical solutions, better supporting internal and external stakeholders needs in summarizing clinical study data. This role will also enable operational quality and efficiency through the generation and analysis of departmental operational and performance metrics.
 
Reporting Standards Management
  • Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders.
  • Gather requirements from a cross-functional group to a particular study question or operational activity.
  • Build & configure solution to meet the requirements.
  • Lead validation activities to prepare reporting solutions for release/usage.
  • Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities.
  • Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports.
  • Maintain ongoing updates to standard report templates.
  • Support training for the Data Sciences team of new standard reports/solutions.
Study-Specific Reporting Deployment
  • Deploy standard reporting solutions for use on a study-specific basis.
  • Create & develop ad hoc reporting and/or analysis solutions - report, dashboard, visualization, or other - as requested by study team members.
  • Gather requirements from study team member(s) for ad hoc solutions.
  • Build & configure ad hoc solutions to meet the requirements.
  • Support report requestor in validation activities of study-specific ad hoc solutions to prepare for release/usage.
  • Support long-term maintenance of study-specific solutions and contribute to investigating issues, as raised by study team members.
Department Operational & Performance Analysis
  • Identify requirements with Data Sciences leaders to measure & monitor operational and performance metrics.
  • Design, build, and maintain metrics governance within Data Sciences.
  • Work with large data sets to analyze operational & study data and deliver reporting that outline areas for process & performance improvement/optimization (inefficiencies, inaccuracies, and other issues) to Data Sciences leadership.
Technical Systems
  • Participate in the strategy, management and integration of data reporting systems that impact Data Sciences, including the assessment, integration, build of vendor systems and Alimentiv technologies.
  • Act as a technical system subject matter expert; perform validation and testing of systems.
  • Help gather and determine requirements for relevant technical systems, with cross-functional groups or other Business/Process analysts. Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence.
  • Assess ways to further leverage existing systems to optimize internal efficiencies and processes.
  • Support Data Sciences contribution to a Data Warehouse, contributing to key decisions and strategy.
  • While evaluating new projects or requests for enhancements, help determine the project cost, timeline, goals and feasibility and then support the project through completion.
Qualifications
  • Minimum of a Bachelor's degree + 4-6 years of related experience.
  • Strong analytical skills
  • Visual design and aesthetic sense to produce appealing and intuitive outputs
  • Proficiency with data visualization tools (i.e., PowerBI, Tableau, Spotfire, etc)
  • Skilled data storyteller to communicate complex information in clear and effective manner
  • Strong collaborator
  • Preference to certificate in data analysis, data visualizations, or technical solutions (i.e., PowerBI, Tableau, Spotfire, etc.)
  • Preference to prior Clinical Research and/or Clinical Data Management experience.
Working Condition
  • Home-based
$89,000 - $148,000 a year
+ bonus
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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