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Data Analyst Data Science Jobs in Alberta (NOW HIRING)

Description The Opportunity We are looking for a proactive, growth-minded Senior Data Analyst / ML Engineer with a minimum of 5 years of experience in analyzing high-volume data and delivering ...

Description The Opportunity We are looking for a proactive, growth-minded Senior Data Analyst / ML Engineer with a minimum of 5 years of experience in analyzing high-volume data and delivering ...

Build reliable transformation workflows that support analytics, reporting, and data science initiatives . * Monitor, troubleshoot, and optimize data infrastructure to ensure high performance ...

Clearly communicate technical analysis and results to stakeholders using data visualizations ... M.S. or Ph.D. in Computer Science, Data Science, or related quantitative field. * 3+ years ...

Senior Data Scientist

Calgary, AB · Hybrid

CA$160K - CA$184K/yr

Innovate new techniques in statistical analysis, machine learning, and data mining to unlock ... Experience & Impact: * 5+ years of experience in Data Science, Machine Learning, or a highly ...

Staff Data Scientist

Calgary, AB · Hybrid

CA$192K - CA$230K/yr

Architect reusable, "platform-level" forecasting frameworks to be used by other Data Science teams. High-Impact Modeling: * Own the development of "tier-1" models-those with the highest business risk ...

... of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep understanding of data analysis, Cloud ...

... of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep understanding of data analysis, Cloud ...

The Sr. Analyst, Market Data owns Capital Power's end-to-end price curve framework within the Risk Group. The role is accountable for the quality, integrity, and governance of all priceand market ...

Collaborate with cross-functional teams including data scientists, engineers, business analysts, and stakeholders to define project requirements, objectives, and timelines. * Work closely with ...

Minimum 8+ years of experience in data or analytics roles, supported by formal education in Business, Economics, Data Science, or a related field * Experience in Canadian and U.S. crude and refined ...

Data Architect

Calgary, AB · Hybrid

CA$128K - CA$147K/yr

You'll turn raw product and business data (structured and unstructured) into high-quality, documented, and governed datasets and a semantic layer that enables analysts, data scientists, and AI agents ...

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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:
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.

Sr. Data and Reporting Analyst

Softchoice

Calgary, AB

Other

Life, Retirement, PTO

Posted 19 days ago


Job description

Why you'll love Softchoice:

We are a software-focused IT solutions and services provider that equips organizations to be agile and innovative, and for their people to be engaged, connected, and creative at work. That means moving them to the cloud, helping them build the workplace of tomorrow, and enabling them to make smarter decisions about their technology. By doing these things we help them create success for their customers and their people.
We stand proudly for our people and support their success through career development and advancement. We are recognized and respected for our culture of inclusion and belonging, continuously striving to do what's good for our people and communities. 
 

The impact you will have:

The Sr. Data and Reporting Analyst will be responsible for owning the design, delivery, and maintenance of People and Culture (P&C) reporting and business analysis.  This role serves as the subject-matter expert on workforce data-driving reporting strategy, ensuring data integrity across P&C systems, and providing consultative guidance to senior leaders that shapes how the organization makes people decisions.  As a senior team member, you will partner cross-functionally with business analysts and operational leaders across Softchoice to combine people data with business performance data, turning insight into action.  You will lead end-to-end analytics initiatives with minimal direction, influence without authority, and bring executive presence to every stakeholder interaction.  

What you'll do:

  • Develop and own reporting dashboards using data mining analytics and reporting tools (SuccessFactors Story, ADP Vantage, PowerBI, Power Platform) to drive performance monitoring and executive decision-making.  
  • Design, develop, and maintain data and statistical models, including complex data manipulation from multiple sources that generate actionable insights for leadership. 
  • Serve as the P&C analytics subject-matter expert, proactively advising senior leaders on key metrics, trends, and data-driven recommendations that inform workforce strategy 
  • Conduct a review of the intake and prioritization of reporting requests and ensure reporting data is presented in an understandable and user-friendly format.  
  • Engage stakeholders at all levels in defining requirements, developing technical specifications, analyzing data flow, and completing testing for report execution.  
  • Conduct audits on data extracted to ensure the highest quality is being used for reporting. 
  • Perform quality assurance checks on system configurations including assessment of changes in SAP bi-annual releases to determine the impact. 
  • Use HR system and process expertise to analyze and troubleshoot issues, identify root causes, and determine and execute resolution.  
  • Support the implementation and maintenance of data and reporting strategy and governance within P&C and throughout the partnership with business areas. 
  • Champion the empowerment of stakeholders at various levels in leveraging reporting tools to support strategic and operational needs.  
  • Respond to benchmarking surveys, and prepare analysis on employee data across P&C Systems 
  • Serve as the SME for P&C analytics, by owning the timely generation of recurring metrics.  
  • Ensure reporting roles and access are defined and maintained in partnership with IT governance and SuccessFactors Administrators 
  • Create and maintain Knowledge-Based Documentation (KBDs) related to new developments and enhancements in reports and dashboards for knowledge sharing and job shadowing. 
  • Onboard new HR Technology team members on P&C reporting tools, including training and change management. 
  • Works with other HR Technology team members to build awareness of data and process changes impacting business metrics. 
  • Maintains current knowledge of reporting trends and best practices for long-term solutions. 

 

What you'll bring to the table:

  • Bachelor's degree in business analytics, management analytics, math, statistics, computer science or related field 
  • A minimum of 5 years' experience working with Analytics tools at an advanced level with 2 years in PowerBI and Power Platform tools. 
  • Experience with data visualization tools with at least 1 full implementation of Planning, Forecasting BI, and Predictive Analytics
  • Enrolled or completing Data Analytics certification or programs is an asset (Microsoft Certified: Power BI Data Analyst or People Analytics programs) 
  • Demonstrated experience in using queries and syntax to conduct data mining, transformation, cleansing, and visualization. 
  • Intermediate to Advanced experience with Microsoft Office products and SQL for querying relational databases. 
  • A broad understanding of HR business fundamentals with at least 4 years of HR operations experience   
  • Experience in 1-2 full-cycle SAP SuccessFactors implementation projects is an asset. 
  • Experience with owning governance, controls, processes, data modeling, master data management, data standardization  
  • Should be able to model positive behavior in the engagement with others and display the desired values and culture of the organization. 
  • Demonstrated ability to drive initiatives end-to-end with minimal direction, taking full ownership from problem identification through solution delivery. 
  • Works collaboratively to provide services that are sought after and recognized for being of high quality. 
  • Executive presence with the ability to distill complex technical information into clear, actionable narratives for senior leadership and non-technical audiences.  
  • Must be able to handle multiple tasks and projects with deadlines and adaptable to changes in priority level that require a high level of organization and planning skills. 
  • Must be able to work quickly and efficiently without sacrificing the quality of their work. 
  • Detail-oriented with proven analytical and problem-solving skills  
  • Strong consultative skillset-able to frame technology issues, plans, and solutions from both a business and technical perspective, providing both pros and cons for recommended solutions to peers, people leaders, and senior leadership.  
  • Excellent documentation skills (Process and training manuals, workbook updates) 

Compensation:

A reasonable estimate of the current base pay range for this position is $76,500 to $102,000 annually + 10% Target Incentives.

Actual salary will be based on a variety of factors, including location, experience, skill set, education, and related certification. The range for this position in other geographic locations may differ.

Softchoice offers a comprehensive and competitive benefit plan to all full-time employees, which includes:

  • Health and Wellbeing: Medical and Dental Care, Employee & Family Assistance Program
  • Financial Benefits: RRSP/DPSP Retirement Savings Plan with Company Matching, Life and Disability Insurance
  • Paid Time Off: Vacation and Sick Leave, Holidays, Parental Leave, Volunteer Days, Bereavement Leave
  • Additional Perks: Employee Discount Program


Not sure if you qualify? Think about applying anyway:

We understand that not everyone brings 100% of the skills and experience for the role.
At Softchoice, we offer opportunities to a diverse group including those with a variety of workplace experiences and backgrounds.  Whether you are new to corporate tech, returning to work after a gap in employment, or looking to transition and take the next step in your career, we are excited to learn more about you and encourage you to apply.

Why You'll Love Working Here:

  • The People: You'll thrive in our collaborative environment, surrounded by incredible colleagues who foster support and innovation, driving our collective success
  • High-Performing Culture: At Softchoice, we are dedicated to achieving our goals and committed to success for our customers and each other
  • Flexibility: Plan your workdays in a way that suits you best
  • Award-Winning Workplace: Proudly recognized as a Great Place to Work for 20 consecutive years
  • Inclusive Culture: We are committed to an inclusive culture where every team member can be their authentic self
  • Competitive Benefits: Benefit from competitive perks that start on day one

Inclusion & Equal opportunity employment:

We are an equal opportunity employer committed to diversity, inclusion & belonging. People seeking employment at Softchoice are considered without regard to any protected category including but not limited to, race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity, or sexual orientation.

Require accommodation? We are ready to help:

We are proud to provide interview & employment accommodation during the recruitment and hiring process. If you require any accommodation to apply or interview for a position, please reach out directly to asktalentacquisition@softchoice.com. We are committed to working with you to best meet your needs.

Our commitment to your experience:

We are committed to the safety of all applicants and team members. With that in mind, we have implemented digital interviewing for everyone. We understand that you may need to interview with distractions around you (such as children or furry friends) and we will be doing the same.

Before you start with us, we will conduct a criminal record check, verify your education, and check your references.

When you join Softchoice, we will onboard you remotely. Don't worry. It's quick, simple and you'll be connected with your new team in no time.

Job Requisition ID: 7503 
EoE/M/F/Vet/Disability 

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