17 Data Analysts jobs in Alberta

Job Description

Salary:

Business Intelligence and Data Analytics Developer

Olsen Consulting specializes in the implementation and optimization of enterprise resource management systems, particularly Vista ERP, for high-revenue construction companies across North America. As a trailblazer in the industry, our goal is to propel our clients toward digital transformation by automating and enhancing their business processes. We are committed to driving impactful changes through data analytics and technology, harnessing our collective expertise, innovation, and commitment to excellence. To further our mission, we are on the lookout for an exceptionally skilled Business Intelligence and Data Analytics Consultant to join our elite team of professionals.

Key Responsibilities

- Collaborate with cross-functional teams to analyze and address client challenges, and apply innovative solutions for business process improvements.

- Design, implement, and deploy analytics solutions leveraging tools and languages such as Power BI, SQL, VBA, Python, DAX, and Power Query.

- Conduct in-depth data analyses and forecasting to identify patterns, trends, and insights that inform decision-making at multiple levels.

- Develop interactive dashboards for a range of business functions, delivering actionable insights to key stakeholders.

- Lead efforts in problem-solving, investigation, and analyses, providing informed recommendations to clients.

- Create and maintain thorough, timely documentation related to software and analytics tasks.

- Deliver training on data interpretation and analytical techniques to internal and external stakeholders.

Qualifications and Experience

- A minimum of 5 years' experience in the realms of data analytics, automation, and business intelligence.

- Proficiency in a broad range of data analytics tools such as Excel, Python, Power BI, HANA, and SSMS.

- High level of competency in SQL, VBA, Power Query, DAX, Python

- Experience with ERP systems like SAP, Vista Viewpoint, and QAD is a strong plus.

- Strong attention to detail, exceptional problem-solving skills, and a proven track record in a consulting environment.

- Ability to demonstrate skills highly preferred.

- Eligible to work in Canada.

Skills

- Excellent verbal and written communication abilities.

- Mastery of data management techniques and SQL optimization.

- Proven leadership and project management skills.

- High level of integrity and ability to handle the confidentiality of sensitive information.

- Capability to manage multiple projects and deadlines across varied clients.

Benefits of Working at Olsen Consulting

- A team environment that thrives on intellectual curiosity, continuous learning, and high-performance

- Remote work flexibility to maintain work-life balance.

- Defined pathways for career growth and professional development.

- Comprehensive benefits package.

- Paid sick/personal days and competitive salaries.

- Open communication lines for transparent and constructive dialogue.

- A positive, encouraging work environment

- Opportunity for overtime banking to optimize your work hours.

Olsen Consulting is committed to recognizing the dignity and worth of every individual, offering equitable rights and opportunities to all our employees. We foster a culture of understanding and mutual respect.

If you are highly motivated, committed to continual learning, and excited to be a part of a growing firm, we invite you to submit your resume and cover letter. Please articulate why you are a remarkable candidate and what you are seeking from your next career move and employer.

We appreciate the interest of all applicants, but only those shortlisted will be contacted.

Job Description

Why Homes Alive Pets?

This isn't your average pet store. You'll feel it when you walk through our door. It's more than beautifully-designed locations and friendly staff – it's a belief in a higher standard for pet care. Our stores are community hubs – somewhere to come and share an experience with your pet.

You'll immediately notice a refreshing shopping experience at Homes Alive because we take a brand-agnostic, knowledge-over-upselling approach. Rather than pushing a certain product or feeling pressured to meet sales quotas, our team's attention is solely focused on getting to know you and your pet and empowering you to make confident decisions.

Our Mission is to add value to every life. When we say every life, we include guests and their pets. Employees and co-workers. Brand reps and vendors. Even our communities.

There is life all around us, and it is our mission to add value qualitatively and quantitatively. In the qualitative sense, it is our mission to elevate every life as important and worthwhile. In the quantitative sense, and in the context of our business, it is also our mission to add value, discounts, and a fair balance of price and quality for our guests. This is how we will make a positive impact in our communities and world.

Job Title

Data Analyst

Direct Report

Data & Digital Technology Manager

Department

Administration

Location

5625 104 St NW Edmonton, AB T6H 2K1

Summary

The Data Analyst is responsible for providing data analysis in a comprehensible way to allow strategic purchasing, inventory management, and other business decisions. Responsibilities include drawing sales data and being able to manipulate it in excel to the specific brand analysis needs.

To ensure success as a Data Analyst, you should have extensive competency in Microsoft Excel, Power BI, and SQL, as well as be highly attentive to detail, and proficient in problem solving.

Qualifications

• 2-3 years of experience in insights and analytics roles.
• Experience in Marketing, Supply Chain, and Ecommerce is an asset.
• Experience with BI tools and visualization (e.g. Power BI).
• Experience in transforming raw data into meaningful insights.
• Proficiency in SQL.
• Ability to think critically, strategically, and with strong problem-solving abilities.

Core Competencies

• Demonstrated administrative ability. Ability to prioritize and complete tasks in a timely and efficient manner.
• High attention to detail. Ability to accomplish a task while demonstrating a thorough concern for all areas involved, no matter how small.
• Microsoft Excel & Power BI: Ability to create, manipulate, and sort high volumes of numerical data.
• Resilience . Ability to remain calm and navigate through high stress situations.

Behaviour & Skills

• Excellent time management & organization
• Excellent attention to detail
• Excellent teamwork & collaborative abilities
• Excellent problem solving & math skills
• Enjoyment of routine & tasks
• Trustworthy & positive attitude
• Highly self-motivated
• High proficiency in Microsoft Excel

Job Responsibilities

• Create reports and spreadsheets to align with stakeholder requirements, including:
  • Brand performance reports for the company and individual stores
  • Store performance reports
  • Product delisting reports
  • Brand department analysis reports
  • Brand category analysis reports
• Create and maintain BI dashboards
• Data collection, exploration, and visualization
• Work cross-functionally with stakeholders and assist on data driven initiatives.

Schedule

• Full-time (40 working hrs/week);
• In-office role

Compensation

• $60,000-65,000/yr.
• Wage is commensurate with experience

Benefits .

Full-time employees are required to participate in the benefits program.

• Dental care
• Disability insurance
• Extended health care
• Life insurance
• Paid time off
• Vision care
• Staff discount

Interviewing:

• Invitations to interview will be sent out beginning on July 21. Only those asked to interview will be contacted.
• Interviews will consist of several parts, including general questioning and technical screenings.

Job Description

Salary:

Senior Data Analyst

Olsen Consulting specializes in the implementation and optimization of enterprise resource management systems, particularly Vista ERP, for high-revenue construction companies across North America. As a trailblazer in the industry, our goal is to propel our clients toward digital transformation by automating and enhancing their business processes. We are committed to driving impactful changes through data analytics and technology, harnessing our collective expertise, innovation, and commitment to excellence. To further our mission, we are on the lookout for an exceptionally skilled Senior Data Analyst to join our elite team of professionals.

Key Responsibilities

- Data optimization, advising on digital solutions, and Vista ERP consulting

- Lead efforts in problem-solving, investigation, and analyses, providing informed recommendations to clients.

- Create and maintain thorough, timely documentation related to software and analytics tasks.

- Business process analysis, strategic consulting, and actionable insights delivery

- Explore and implement robotic process automation solutions where appropriate

- Provide exceptional customer support, advanced product training, and engaging demonstrations

Qualifications and Experience

- A proven track record of at least 5 years in Business Intelligence, 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

- Advanced proficiency in SQL, Python, Azure and knowledge of web development frameworks such as Django and Flask

- Experience with C#, ASP.NET or Ruby on the Rails is an asset

- Ability to demonstrate skills highly preferred.

- Eligible to work in Canada.

Skills

- Advanced MSSQL/MySQL/PostgreSQL knowledge, including but not limited to views, stored procedures, functions, database administration, maintenance and optimization.

- Profound understanding and application of AI and Machine Learning algorithms in a business context

- Academic rigor with a propensity for research, as evidenced by publications or contributions to the field of AI or Data Science

- Experience developing, implementing, and deploying machine learning models for predictive analytics, applying advanced statistical techniques is an asset

- Proven leadership and project management skills.

- High level of integrity and ability to handle the confidentiality of sensitive information.

- Capability to manage multiple projects and deadlines across varied clients.

Benefits of Working at Olsen Consulting

- A team environment that thrives on intellectual curiosity, continuous learning, and high-performance

- Remote work flexibility, allowing you to optimize your work-life balance

- Defined paths for career growth and professional development

- Comprehensive benefits plan

- Paid sick/personal days and competitive salaries

- Open lines of communication for transparent and constructive dialogue

- A positive, encouraging work environment

- The option for overtime banking to optimize your work hours

Olsen recognizes the dignity and worth of every person and provides equitable rights and opportunities to all employees. We work together to create a climate of understanding and mutual respect.

If you are highly motivated, committed to continual learning, and excited to be a part of a growing firm, we invite you to submit your resume and cover letter. Please articulate why you are a remarkable candidate and what you are seeking from your next career move and employer.

We thank everyone for their interest in Olsen Consulting, but only short-listed candidates will be contacted.

Job Description

About Total Life

Equity + Bonus + Massive Growth Opportunity

At Total Life, we’re redefining mental healthcare for older adults by leveraging a telehealth platform that delivers evidence-based emotional support. Our mission is to ensure quality, affordable mental healthcare is accessible to a vulnerable demographic, empowering older adults to lead healthier, more fulfilling lives.

Overview

This is an entry level position in a fast-growing venture-backed start-up with significant learning opportunities for the right candidate. We are looking for a driven, detail-oriented, and adaptable Junior Data Analyst to help improve operational vigor, analyze, and report data, increase organizational efficiency, and work directly with our Direct of Operations and Analytics to achieve the company’s vision, KPI’s and growth objectives. A successful applicant will be resourceful, organized, and motivated to increase performance, enhance the company's reputation, and look for new and creative ways to ensure success. A background in start-ups, leadership, or finance is strongly desirable.

Responsibilities

• Work with G-suite (sheets, Looker studio, G-Drive and more).
• Design, create, and maintain reports and data visualization dashboards to provide actionable insights.
• Develop, manage, and analyze data spreadsheets to support business operations and reporting needs.
• Write and execute SQL queries to extract and analyze data for operational and strategic purposes.
• Perform insurance verifications to confirm coverage and resolve discrepancies.
• Assist in managing insurance claims within the revenue cycle management (RCM) platform, ensuring timely and accurate processing.
• Handle miscellaneous insurance-related issues, including communication with payers, to support claim resolution and other inquiries.
• Identify areas for improvement across the business.

Location

Edmonton, Alberta (Please note that remote work will be considered for exceptional candidates with occasional travel to Edmonton)

Job Type

Job Type: Full-Time (40 hours per week, Monday to Friday)

Requirements

Requirements/Qualifications

• Bachelor’s degree in business, management, finance, accounting, or a related field.
• Proficiency in all G-Suite applications.
• Ability to work in a fast-paced environment.
• Excellent analytical, problem-solving, time management, and leadership skills.
• Exceptional negotiation and decision-making skills.
• Effective communication skills both written and verbal.
• Extremely organized with great attention to detail.
• Enjoys working with numbers.
• Technology savvy.
• Ability to handle multiple projects simultaneously and work under pressure.
• Ability to adapt to change with a positive attitude.
• Experience in healthcare and working with seniors is a plus.

Benefits

Salary Range

$45,000 - 65,000 CAD per year

Why Join Total Life?

• Make an Impact: Contribute directly to enhancing mental healthcare services for older adults.
• Collaborative Culture: Work alongside an innovative and supportive team.
• Healthcare Plan: Dental care, extended health care, life insurance, paid time off, and vision care.
• Remote work available on Fridays

Application Instructions

If you’re a motivated data oriented individual ready to launch your career and drive meaningful change in mental healthcare, we want to hear from you. Submit your resume along with a cover letter outlining your relevant experience and explaining why you’re excited to join our team at Total Life.

Focus on using ETL best practices on data to solve business problems and improve efficiency within our organization's IT systems. Collect, clean and interpret data to identify trends and actionable insights, then communicate these findings to stakeholders to inform decision-making and drive data and process improvements. Develop data models, align data architecture with business objectives and technological capabilities.

Key Responsibilities:

- Data Collection and Management:

• Gathering data from various sources, including databases, systems, and potentially external sources.

• Developing and maintaining data collection and storage systems.

• Ensuring data accuracy, integrity, consistency, and quality.

- Data Analysis and Interpretation:

• Applying statistical techniques and tools to analyze data.

• Identifying trends, patterns, correlations and inconsistencies within the data and associated systems

• Developing data models to support analysis and predictions.

- Communication and Reporting:

• Creating visualizations, reports, and dashboards to present findings.

• Communicating insights and proposing recommendations to technical and non-technical audiences.

• Collaborating with stakeholders to understand their needs and translate them into data-driven solutions.

- Troubleshooting and Optimization:

• Identifying and resolving issues with data systems and processes.

• Optimizing data collection, storage, and analysis processes.

• Continuously improving data quality and efficiency, and creating low maintenance solutions.

- Designing and Implementing Data Models:

• Determining how data is stored, accessed, and managed to achieve business goals.

- Ensuring Data Integrity and Security:

• Contributing to standards for data quality, security, and compliance.

- Developing Data Strategies:

• Contributing to the overall data strategy and ensuring it aligns with business goals.

- Staying Current with Technology:

• Continuously researching and evaluating new technologies and trends in data management.

Required Skills:

- Technical Skills: Proficiency in SQL, data modeling and database design principles, and Power BI.

- Analytical Skills: Strong problem-solving, critical thinking, and analytical abilities.

- Collaboration Skills: Ability to work effectively with cross-functional teams including IT, operations, engineering, and finance.

Desirable Skills:

- Technical Skills: Proficiency in Python specifically (but any statistical programming language is a plus) Databricks. PI Data Historian, MS SQL Server. other data visualization tools, and REST API programming, data migration. Proficiency in data warehousing, ETL (extract, transform, load) processes, and data modeling tools.

- Communication Skills: Ability to clearly and effectively communicate complex information, data flows and processes to diverse audiences.

- Domain Knowledge: Understanding of the upstream oil & gas industry, specifically Process Data, SCADA, Field Data Capture, heavy oil production processes, AB and SK air emissions regulations.

Focus on using ETL best practices on data to solve business problems and improve efficiency within our organization's IT systems. Collect, clean and interpret data to identify trends and actionable insights, then communicate these findings to stakeholders to inform decision-making and drive data and process improvements. Develop data models, align data architecture with business objectives and technological capabilities.

Key Responsibilities:

- Data Collection and Management:

• Gathering data from various sources, including databases, systems, and potentially external sources.

• Developing and maintaining data collection and storage systems.

• Ensuring data accuracy, integrity, consistency, and quality.

- Data Analysis and Interpretation:

• Applying statistical techniques and tools to analyze data.

• Identifying trends, patterns, correlations and inconsistencies within the data and associated systems

• Developing data models to support analysis and predictions.

- Communication and Reporting:

• Creating visualizations, reports, and dashboards to present findings.

• Communicating insights and proposing recommendations to technical and non-technical audiences.

• Collaborating with stakeholders to understand their needs and translate them into data-driven solutions.

- Troubleshooting and Optimization:

• Identifying and resolving issues with data systems and processes.

• Optimizing data collection, storage, and analysis processes.

• Continuously improving data quality and efficiency, and creating low maintenance solutions.

- Designing and Implementing Data Models:

• Determining how data is stored, accessed, and managed to achieve business goals.

- Ensuring Data Integrity and Security:

• Contributing to standards for data quality, security, and compliance.

- Developing Data Strategies:

• Contributing to the overall data strategy and ensuring it aligns with business goals.

- Staying Current with Technology:

• Continuously researching and evaluating new technologies and trends in data management.

Required Skills:

- Technical Skills: Proficiency in SQL, data modeling and database design principles, and Power BI.

- Analytical Skills: Strong problem-solving, critical thinking, and analytical abilities.

- Collaboration Skills: Ability to work effectively with cross-functional teams including IT, operations, engineering, and finance.

Desirable Skills:

- Technical Skills: Proficiency in Python specifically (but any statistical programming language is a plus) Databricks. PI Data Historian, MS SQL Server. other data visualization tools, and REST API programming, data migration. Proficiency in data warehousing, ETL (extract, transform, load) processes, and data modeling tools.

- Communication Skills: Ability to clearly and effectively communicate complex information, data flows and processes to diverse audiences.

- Domain Knowledge: Understanding of the upstream oil & gas industry, specifically Process Data, SCADA, Field Data Capture, heavy oil production processes, AB and SK air emissions regulations.

CSC Generation is on a mission to build the most advanced AI-driven retail operating system in the industry. Our brands—including Sur La Table, One Kings Lane, and Backcountry—rely on fast, intelligent decision-making rooted in high-integrity data. We're hiring an AI-First Data Analyst who combines deep statistical know-how with modern AI tooling and automation instincts.

This is a highly technical, hands-on role. You’ll build causal models, apply advanced machine learning techniques (e.g., Double ML), and develop internal data tools that help our brands operate faster, smarter, and more autonomously. You’ll be embedded with senior operators and report directly to a brand CEO or platform leader, supporting real decisions—not dashboards for dashboards’ sake.

This role is designed for someone early in their career, but exceptionally gifted, ambitious, and AI-native. You’ll grow fast, learn directly from executives, and become a critical part of CSC’s data and AI transformation.

What you get to do every day:

• Conduct causal analysis and treatment effect estimation using Double ML, causal forests, and uplift modeling to guide high-stakes decisions (e.g., promotions, marketing strategy, inventory management).
• Build AI-powered internal tools that automate analytical tasks and surface insights (e.g., GPT-powered report generation, automated anomaly detection).
• Develop and own dashboards and data pipelines that drive real-time visibility across sales, marketing, operations, and finance.
• Partner directly with business leaders to translate fuzzy questions into testable hypotheses, and then deliver answers that inform action.
• Identify opportunities to automate recurring analyses via custom GPTs, scripts, or workflow platforms like n8n.
• Work closely with engineering and data platform teams to improve data cleanliness, accessibility, and documentation.

What you bring to the role:

• 1–3 years of experience in data science, quantitative analysis, or machine learning.
• Bachelor’s or Master’s degree in Statistics, Economics, Computer Science, Data Science, or a related quantitative field.
• Expertise in causal inference frameworks—especially Double ML, A/B testing, and other counterfactual methods.
• Strong coding skills in Python or R; experience with SQL, Jupyter, and version control (Git).
• Comfortable building data pipelines and working with large datasets.
• Proficiency with AI tools such as ChatGPT, Claude, or custom GPTs, and a drive to integrate them into your work.
• Curious, fast-learning, and deeply motivated to solve business problems through analysis and automation—not just reporting.
• Experience with workflow automation (e.g., n8n, Make, Zapier) is a plus.

Why this role is different

Most data roles live downstream of decisions. This one lives at the center of them.

As our AI-First Data Analyst, you won’t just be running models—you’ll be shaping how our business thinks. You’ll work directly with executives, build tooling used by dozens of team members, and automate away repetitive insight work so you can focus on strategic problems.

We aren’t looking for someone to maintain dashboards. We’re looking for someone to build the next generation of internal data products—and use AI to do it 10x faster.

What’s in it for you? Joining CSC Generation isn’t just about having a seat at the table—it’s about helping redesign the table entirely. You’ll be challenged, stretched, and supported as you grow faster than you thought possible. In addition to competitive compensation, we offer:

• Executive Access: Work directly with brand CEOs and senior leadership, solving real business problems and earning mentorship from top operators.
• AI-First Skill Building: Get hands-on with the most advanced AI tools in the market. From automation to prompt engineering, you’ll build a modern tech stack that sets you apart in any industry.
• Accelerated Career Path: High performers are quickly entrusted with greater responsibility, new challenges, and leadership opportunities across our portfolio of brands.
• Competitive benefits: Paid time off policies, 401(k)/RRSP match, medical/dental/vision and a variety of supplemental policies, and employee discounts at our portfolio companies

What our interview process looks like:

• Step 1: If you align with our vision and meet the qualifications, we’ll reach out to schedule a conversation and introduce CSC.

CSC Generation is on a mission to build the most advanced AI-driven retail operating system in the industry. Our brands—including Sur La Table, One Kings Lane, and Backcountry—rely on fast, intelligent decision-making rooted in high-integrity data. We're hiring an AI-First Data Analyst who combines deep statistical know-how with modern AI tooling and automation instincts.

This is a highly technical, hands-on role. You’ll build causal models, apply advanced machine learning techniques (e.g., Double ML), and develop internal data tools that help our brands operate faster, smarter, and more autonomously. You’ll be embedded with senior operators and report directly to a brand CEO or platform leader, supporting real decisions—not dashboards for dashboards’ sake.

This role is designed for someone early in their career, but exceptionally gifted, ambitious, and AI-native. You’ll grow fast, learn directly from executives, and become a critical part of CSC’s data and AI transformation.

What you get to do every day:

• Conduct causal analysis and treatment effect estimation using Double ML, causal forests, and uplift modeling to guide high-stakes decisions (e.g., promotions, marketing strategy, inventory management).
• Build AI-powered internal tools that automate analytical tasks and surface insights (e.g., GPT-powered report generation, automated anomaly detection).
• Develop and own dashboards and data pipelines that drive real-time visibility across sales, marketing, operations, and finance.
• Partner directly with business leaders to translate fuzzy questions into testable hypotheses, and then deliver answers that inform action.
• Identify opportunities to automate recurring analyses via custom GPTs, scripts, or workflow platforms like n8n.
• Work closely with engineering and data platform teams to improve data cleanliness, accessibility, and documentation.

What you bring to the role:

• 1–3 years of experience in data science, quantitative analysis, or machine learning.
• Bachelor’s or Master’s degree in Statistics, Economics, Computer Science, Data Science, or a related quantitative field.
• Expertise in causal inference frameworks—especially Double ML, A/B testing, and other counterfactual methods.
• Strong coding skills in Python or R; experience with SQL, Jupyter, and version control (Git).
• Comfortable building data pipelines and working with large datasets.
• Proficiency with AI tools such as ChatGPT, Claude, or custom GPTs, and a drive to integrate them into your work.
• Curious, fast-learning, and deeply motivated to solve business problems through analysis and automation—not just reporting.
• Experience with workflow automation (e.g., n8n, Make, Zapier) is a plus.

Why this role is different

Most data roles live downstream of decisions. This one lives at the center of them.

As our AI-First Data Analyst, you won’t just be running models—you’ll be shaping how our business thinks. You’ll work directly with executives, build tooling used by dozens of team members, and automate away repetitive insight work so you can focus on strategic problems.

We aren’t looking for someone to maintain dashboards. We’re looking for someone to build the next generation of internal data products—and use AI to do it 10x faster.

What’s in it for you? Joining CSC Generation isn’t just about having a seat at the table—it’s about helping redesign the table entirely. You’ll be challenged, stretched, and supported as you grow faster than you thought possible. In addition to competitive compensation, we offer:

• Executive Access: Work directly with brand CEOs and senior leadership, solving real business problems and earning mentorship from top operators.
• AI-First Skill Building: Get hands-on with the most advanced AI tools in the market. From automation to prompt engineering, you’ll build a modern tech stack that sets you apart in any industry.
• Accelerated Career Path: High performers are quickly entrusted with greater responsibility, new challenges, and leadership opportunities across our portfolio of brands.
• Competitive benefits: Paid time off policies, 401(k)/RRSP match, medical/dental/vision and a variety of supplemental policies, and employee discounts at our portfolio companies

What our interview process looks like:

• Step 1: If you align with our vision and meet the qualifications, we’ll reach out to schedule a conversation and introduce CSC.