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Data Analyst Data Science Jobs in Alberta (NOW HIRING)

Deloitte

Data Science Manager

Calgary, AB

You will take a lead in delivering advanced analytics solutions and advisory services to high-growth organizations, managing and supporting a diverse team consisting of data scientists, data ...

Olsen Consulting

Senior Data Analyst

Calgary, AB · On-site +1

... Data Science, or a related role - Prior work experience in the construction industry is a strong plus - A minimum of 2 years of experience working in a reputable consulting firm is required ...

Hays

Data Scientist - Specialist

Calgary, AB · Hybrid

Strong experience in data science, machine learning, and statistical modeling in enterprise environments * Deep expertise in statistical analysis, mathematical modeling, and algorithm development

Recruitment Partners

Data Analyst

Edmonton, AB

Conduct full-cycle data analytics activities and ETL processes * Format data that meets specific rules/conditions and combine it with formulas to help end users highlight data (i.e. statistics)

Primus Workforce

Data Management

Edmonton, AB

CA$1 - CA$2/hr

Diploma or degree in Data Analytics, Data Science, Computer Science, Business, Economics, Engineering, Accountin g , or a related field * Experience in data analysis, financial analysis, or capital ...

Bird Construction

Senior Data Analyst

Edmonton, AB · Hybrid

Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field. * 5+ years of experience in a Senior Data Analyst or Business Intelligence role. * Strong handson ...

Bird Construction

Senior Data Analyst

Calgary, AB · Hybrid

Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field. * 5+ years of experience in a Senior Data Analyst or Business Intelligence role. * Strong handson ...

Targeted Talent

Data Scientist

Edmonton, AB

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Targeted Talent

Data Scientist

Edmonton, AB

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Targeted Talent

Data Scientist

Calgary, AB

$80K - $100K/yr

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply ...

Targeted Talent

Data Scientist

Calgary, AB · Remote

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Alberta

Data Analyst Data Science information

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Alberta? For Data Analyst Data Science jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Alberta look for? The top searched job categories for Data Analyst Data Science jobs in Alberta are:
What cities in Alberta are hiring for Data Analyst Data Science jobs? Cities in Alberta with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Alberta as of June 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, and 7% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Data Science Manager

Data Science Manager

Deloitte

Calgary, AB

Full-time

Life, PTO

Posted 6 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Type: Permanent 
Work Model: Hybrid 
Reference code: 133499   
Primary Location: Calgary, AB  
All Available Locations: Calgary, AB; Edmonton, AB; Vancouver, BC; Victoria, BC

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.


By living our Purpose, we will make an impact that matters.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching
--
What will your typical day look like?

As a Data Science Manager, you will play a key role in leading the delivery, building capabilities, and pursuing new data science opportunities in high-growth areas including retail analytics, customer analytics, marketing analytics, and optimization solutions. You will take a lead in delivering advanced analytics solutions and advisory services to high-growth organizations, managing and supporting a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry leaders.

You will be responsible for client communication, from sales and business problem definition to final delivery, knowledge transfer, and model maintenance. You will guide your team through solutioning and delivery, including advanced analytics model design and development, insight generation, and the development of AI and ML models. As a key part of this process, you will make most appropriate model selection and ensure quality and delivery of statistical and AI/ML models, computations, and data ETL by the data science team, to deliver best-of-breed analytical solutions for clients’ business problems. You and your team will work with large amounts of data on a granular level, from structured and unstructured data sources and participate in various structured and ad-hoc analysis projects. You will be a principal link between data science team and the client and will regularly communicate insights on client projects and provide support in planning and data collection. You will both lead and support pitches and proposal bids to drive business development.

About the team

Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-one experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

Enough about us, let’s talk about you

You are someone with these required skills, experience and qualifications:
•    5+ years of experience in applying analytics or model development using data in a professional context.
•    Significant experience with statistical techniques, data mining, optimization (linear programming), and predictive models.
•    Proficiency in hands-on data analysis and modeling using Python.
•    Experience with databases and programming languages (SQL, Oracle, Hadoop, NoSQL) for data manipulation and integration.
•    Experience with cloud ML platforms (AWS, GCP, Azure) is an asset.
•    Experience with natural language processing, computer vision, and/or GenAI is an asset.
•    Advanced degrees (MSc, equivalent, or higher) in Statistics, Applied Mathematics, Mathematical Physics, Computer Science, or a related field is required.
•    BA/BSc degree in these fields will be considered if coupled with significant industry experience demonstrating proven success in leading complex projects.
It would be great for you to have some of these nice-to-haves as well:
•    Leadership or management experience, including project management in analytical, ML, or data-driven fields.
•    Proven track record in leading teams for end-to-end delivery of advanced analytics, data science, or AI/ML solutions.
•    Ability to understand the business significance of data, handle data ambiguity, develop creative analytical solutions, and interpret results from a business perspective.
•    Enthusiasm for solving complex problems with various analytical tools.
•    Strong oral and written communication skills, with the ability to convey complex technical information to non-technical stakeholders.
•    Interest in continuing to develop analytical and business development skills.
•    Professional services, consulting, or advisory experience is an asset.

Total Rewards


The salary range for this position is $84,000 - $175,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent  recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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