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Data Analysis Manager Jobs in Alberta (NOW HIRING)

Apply risk management systems and analytical tools (ETRM, Excel, Python, R) to build, validate, and maintain pricing models and data workflows. Query and integrate market data using SQL and data APIs ...

... and data analysis tools. * Experience using AI tools to support analysis, reporting, or process improvement. * Strong analytical, problem-solving, and communication skills. * Ability to manage ...

Translate business and analytical requirements into endtoend ML/AI solution design, * Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g ...

We empower our customers to make better decisions through real-time data management and analytics. Understanding our customer's needs and the ability to solve their problems is what sets us apart.

Drive the Facilities Integrity Planning technology roadmap, advancing data, analytics, automation ... Understanding of asset integrity management, risk-based inspection principles, and integrity ...

You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ... Managing our first aid program and emergency response capabilities, you'll ensure immediate care is ...

... Manager to lead the BIM/VDC of the Data Center project portfolio, acting as the single point of ... Ensure effective MEP model coordination, clash resolution, and constructability analysis of models ...

Knowledge and understanding of end-to-end supply chain management * Working knowledge of ERP and data base systems Soft Skills: * Highly developed analytical and problem solving skills * Quality and ...

... vendor data management practices across the organization. This position plays a key role in ... Proficiency in Excel or similar tools for data analysis and validation.

Showing results 41-60

Data Analysis Manager information

See Alberta salary details

$20K

$87K

$146.5K

How much do data analysis manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analysis manager in Alberta is $87,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $110,500.00 per year, depending on experience, location, and employer.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

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

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Alberta?

The most popular types of Data Analysis jobs in Alberta are:

What are popular job titles related to Data Analysis Manager jobs in Alberta?

For Data Analysis Manager jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Data Analysis Manager jobs in Alberta look for?

The top searched job categories for Data Analysis Manager jobs in Alberta are:

What cities in Alberta are hiring for Data Analysis Manager jobs?

Cities in Alberta with the most Data Analysis Manager job openings:

Infographic showing various Data Analysis Manager job openings in Alberta as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $87,044 per year, or $41.8 per hour.

September 2027 - Data Enablement (Non-CPA) - 8 month Co-op - Calgary

Pwc

Calgary, AB • On-site, Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 13 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Conduct and Compliance

Management Level

Associate

Job Description & Summary

At PwC Canada, we're more than a professional services firm-we're a community of solvers tackling the world's most important problems. As a co-op in our Risk Services practice, you'll be part of a diverse, inclusive team that values your perspective and empowers you to make a real impact. You'll build relationships, gain hands-on experience with cutting-edge technologies, and contribute to work that matters-whether its helping clients navigate complex challenges or driving trust in their reporting.
Throughout your co-op term, you'll be supported by experienced professionals and exposed to our innovative AI and digital tools to help you build future-ready capabilities in data, technology, and business acumen. You'll also gain firsthand experience of busy season and see how risk assurance work unfolds in real time. Whether you're working from a PwC office, a client site, or remotely, you'll be part of a collaborative environment that encourages curiosity and continuous learning. Grow here, go further.

The Opportunity: Data Enablement

At PwC, our people in data and analytics focus onleveragingdata to drive insights and helping our clients make informed business decisions. A career in our Data Enablement practice, within Risk Services, will provide you with the opportunity to empower our business partners (external clients and other PwC operational units) to solve the problems that matter using data-driven insights. Being human-led, tech-powered, we put the right controls, processes, and structures in place, so our people and clients make confident, data-backed decisions to deliver on our promise of trust.

In this role, you will:

  • Assurance Development: Redefine how PwC delivers the audit of tomorrow by building a strong understanding of commonly used client information systems (ERPs) to develop automated solutions to problemsencounteredby existing engagement teams.

  • Specialised Assurance:Engage with clients in highly specialised assurance tasks, using advanced data analysis and automation to deliver results. Includes testing of key client reports, testing over client's ERP system conversions, creating Extract-Transform-Load (ETL) pipelines and developing solutions for industry specific assurance.

  • Data Analysis: Help clients manage their data better and feel confident that the information generated from their business data is reliable and can help them make the right business decisions using advanced data analysis techniques and capabilities.

  • AcquireData:Work with clients to understand and set up andoptimizethe process toacquirecomprehensive datasets used as the foundation of PwC's audits. This includes implementing thecutting-edgetechnology (such as PwC Extract) for data extraction and transformation tofacilitateend to end automation.

With connectivity being a key enabler of our strategy, ourobjectiveis to become the most connected firm - connected to our clients, our communities and to each other. PwC follows an Activity Based Work model, where our PwC professionals engage in a diverse range of activities from our offices, from client sites, or our home.

Experiences and SkillsYou'llUse to Solve:

  • Motivated to learn about technologies, IT practices and standards, infrastructure-related best-practices in the areas of security and IT, as well as IT control frameworks

  • Motivated to learn programming languages such as Python, SQL andutilizingadvanced data-platforms such as Databricks

  • Motivated to learn about analyzing the impact of data and IT risks and internal controls on organizations' financial, strategic, and operational objectives

  • Proven ability to manage multiple tasks in a dynamic and constantly evolving environment

  • Recognized strong analytical, conceptualization, and problem-solving skills

  • Ability to work independently or as part of a team

  • Strong skills in prioritization and problem-solving

Note:We only allow you tosubmitone application;howeveryouare able toselect a second and third office preference.

Please note:

  • Apply before our applications close on September 13th. To learn about our application process, visit our Applying to PwC page on our campus recruitment website.
  • This position is eligible for PwC Canada's Award and Mentorship Programs.

Why you'll love PwC:

  • Personalized Benefits & Wellbeing:Choose flexible health, dental, vision, life, and disability coverage. Access mental health support ($3,500 annually), virtual care, and up to a $750 lifestyle account for wellness, fitness, and personal growth.
  • Invest in Your Future:Boost your retirement savings with employer matching and take advantage of financial planning resources and banking programs.
  • Growth & Learning:Unlock coaching, mentoring, and clear career paths to help you reach your potential.
  • Time off to focus on what matters most:Enjoy up to 31 paid days off including summer and winter office closures, substitute a public holiday to observe your religious holiday, or take part in international remote work options to extend your time abroad,
  • Inclusive, Purpose-Driven Culture:Join a diverse, supportive team where you can be your authentic self, build lifelong relationships, and help shape tomorrow.

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Metis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Daily Scrum, Data Analytics, Data Architecture Development, Data-Driven Insights, Data Ingestion, Data Reporting, Data Transformation {+ 29 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK