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Data Analysis Associate Jobs in Calgary, AB (NOW HIRING)

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L3 Data Management (GCP)

Calgary, AB · On-site +1

Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics ... Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent)

Takeaway

Senior Manager - Data Engineering

Calgary, AB · On-site +1

CA$120K - CA$160K/yr

About this role The Canadian Data & Analytics function is at an inflection point. As Skip invests ... Associate Director of Data & Insights These are some of the key components to the position: * Own ...

360training

Data Engineer (Canada)

Calgary, AB · Remote

One thing our associates get to experience is the ability to make an impact on day one of working ... Strong analytical and problem-solving skills, with a passion for continuous learning and innovation.

360training

Head of Analytics (Canada)

Calgary, AB · On-site

At 360training, every associate has the ability to make an impact and they are rewarded for doing ... Head of Analytics: This role is the leader of Analytics with a focus on leveraging data ...

Peoples Group

Underwriting Associate

Calgary, AB · Hybrid

CA$70K - CA$80K/yr

Advanced proficiency in Microsoft Office applications, including data analysis, visualization, and automation. * Comfortable working both independently and collaboratively within teams. * Well-versed ...

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Data Analysis Associate information

Is 40 too late for data science?

For a Data Analysis Associate or similar data-related roles, starting a career at 40 is possible, especially with relevant skills like proficiency in SQL, Python, or R, and a strong understanding of data concepts. Many employers value experience and analytical skills over age, and career changers often succeed by gaining certifications or completing relevant projects. Age should not be a barrier if you are committed to learning and developing your expertise in data analysis or data science tools.

What can you do with an associate's in data analytics?

A Data Analysis Associate can perform data collection, cleaning, and analysis using tools like Excel, SQL, and statistical software. They often support decision-making processes by creating reports, dashboards, and visualizations to interpret data insights for organizations.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a Data Analysis Associate involves interpreting complex data, making strategic recommendations, and communicating insights, which require human judgment. AI is a complement to data analysts' skills, and proficiency in tools like SQL, Excel, and data visualization software remains essential for the role.

What does a Data Analysis Associate do?

A Data Analysis Associate is responsible for collecting, organizing, and interpreting large sets of data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights. Their work often involves preparing reports, collaborating with other teams, and ensuring data accuracy and integrity. Data Analysis Associates play a key role in supporting decision-making processes and optimizing business performance.

How does a Data Analysis Associate typically collaborate with other departments within an organization?

Data Analysis Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations to interpret data and provide actionable insights. They often attend meetings to understand department-specific goals, gather requirements, and present findings in a way that is accessible to non-technical colleagues. This collaboration is key to ensuring that analytical recommendations align with broader business objectives and lead to informed decision-making. Strong communication skills and adaptability are essential for success in these collaborative settings.

What are the key skills and qualifications needed to thrive as a Data Analysis Associate, and why are they important?

To thrive as a Data Analysis Associate, you need strong analytical skills, proficiency in statistics, and typically a degree in a quantitative field such as mathematics or economics. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and conveying insights to stakeholders. These skills and qualities are crucial for transforming complex data into actionable business decisions and driving organizational success.

What does the data analysis associate do?

A data analysis associate collects, organizes, and examines data to identify trends and support decision-making. They often use tools like Excel, SQL, or statistical software and may prepare reports or visualizations to communicate findings effectively.
What are the most commonly searched types of Data Analysis jobs in Calgary, AB? The most popular types of Data Analysis jobs in Calgary, AB are:
Data Analysis Associate jobs near you

Senior Consultant, Microsoft Fabric Data Engineer, Data & AI

KPMG

Calgary, AB

Full-time

Posted 19 days ago

Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization initiatives, helping clients migrate from legacy and onpremise environments to scalable, secure, and unified analytics platforms leveraging Microsoft Fabric, OneLake, and Azure-native services.


What you will do
  • Partner with clients to understand business goals, gather requirements, and translate them into actionable technical designs and delivery plans using Microsoft Fabric.
  • Work with engagement teams to translate business and analytics requirements into endtoend data strategies, including ingestion, transformation, semantic modeling, and analytics enablement.
  • Contribute to solution architecture design for repeatable, scalable, and costoptimized analytics platforms using Microsoft Fabric components.
  • Lead delivery of modern data platforms leveraging Fabric Lakehouse, Data Warehouse, Data Engineering, and Real-Time Analytics workloads.
  • Design and implement data ingestion and transformation pipelines using Fabric Data Factory, notebooks, and Spark.
  • Implement medallion architecture patterns (Bronze, Silver, Gold) using Fabric Lakehouse and OneLake.
  • Develop scalable batch and streaming pipelines using Spark, Eventstreams, and real-time ingestion patterns.
  • Build and optimize semantic models for downstream analytics and reporting in Power BI.
  • Apply CI/CD and engineering best practices including version control, automated deployment, testing, and release management for Fabric workloads.
  • Establish and operationalize governance across Fabric using Microsoft Purview, role-based access control, and data lineage.
  • Support testing, performance tuning, and production releases across Fabric workloads.
  • Proactively contribute to creation of presentation materials and client-facing documentation related to data and analytics initiatives.
  • Provide technical leadership and mentorship to junior team members.

What you bring to the role
  • University degree in computer engineering, computer science, mathematics, data science, or related disciplines.
  • 4+ years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.
  • 2+ years of hands-on experience with Microsoft Fabric or Azure Synapse / Azure Data Engineering services.
  • Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
  • Proficiency in Python (or similar languages) for data processing, automation, and analytics workflows.
  • Hands-on experience with Spark-based data processing and notebook-driven development.
  • Experience with Fabric Lakehouse, Data Warehouse (SQL Endpoint), OneLake, and semantic modeling.
  • Experience supporting data platform modernization and Azure-based migration initiatives.
  • Experience applying CI/CD practices to data and analytics solutions.
  • Strong understanding of data governance, security, and access control within Microsoft ecosystems.
  • Experience collaborating with cross-functional teams to solve complex data challenges.
  • Familiarity with Power BI and downstream analytics enablement.

Certifications (Preferred)

  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Power BI Data Analyst certification
  • Other relevant Microsoft Azure or data engineering certifications

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $73,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • University degree in computer engineering, computer science, mathematics, data science, or related disciplines.
  • 4+ years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.
  • 2+ years of hands-on experience with Microsoft Fabric or Azure Synapse / Azure Data Engineering services.
  • Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
  • Proficiency in Python (or similar languages) for data processing, automation, and analytics workflows.
  • Hands-on experience with Spark-based data processing and notebook-driven development.
  • Experience with Fabric Lakehouse, Data Warehouse (SQL Endpoint), OneLake, and semantic modeling.
  • Experience supporting data platform modernization and Azure-based migration initiatives.
  • Experience applying CI/CD practices to data and analytics solutions.
  • Strong understanding of data governance, security, and access control within Microsoft ecosystems.
  • Experience collaborating with cross-functional teams to solve complex data challenges.
  • Familiarity with Power BI and downstream analytics enablement.

Certifications (Preferred)

  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Power BI Data Analyst certification
  • Other relevant Microsoft Azure or data engineering certifications

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $73,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME

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