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Data Analytics Jobs in Calgary, AB (NOW HIRING)

Senior Oracle Data Analyst - Contract We are seeking a senior Oracle Data Analyst to support a major application and database modernization initiative within the oil and gas sector. This is an ...

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Data Elephant is one of Canada's leading Data, Analytics & AI consulting firms, helping organizations modernize their data platforms, unlock business value from data, and accelerate AI adoption. We ...

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.

Reporting to the Team Lead, Analytics, you will work closely with internal stakeholders and our analytics team to deliver high-quality, consistent, and scalable data products across multiple ...

Our Data Analytics team is the go-to destination for analytical, creative professionals passionate about developing their talents while solving some of TELUS' most significant challenges. What you'll ...

As an Analyst, Data & Integrations, you'll play a key role in ensuring project data is accurate, trusted, and ready for migration to S/4HANA. Working alongside the Data & Analytics team, project ...

This role is the leader of Analytics with a focus on leveraging data, information, and analytics to provide insights that alter decisions resulting in higher total company performance. This role has ...

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.

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Data Analytics information

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Calgary, AB? The most popular types of Data Analytics jobs in Calgary, AB are:
What cities near Calgary, AB are hiring for Data Analytics jobs? Cities near Calgary, AB with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Analytics Developer - Fabric Platform

Krux Analytics Inc.

Calgary, AB โ€ข On-site, Remote

Full-time

Re-posted 19 days ago


Job description

SENIOR DATA ANALYTICS DEVELOPER-FABRICPLATFORM

At Krux,Innovation Happens Together, by being a true partner to our customers, by valuing collaboration and teamwork, and by including a diversity of industry and life experience.


We are seekingaSenior Data Analytics Developer - Fabric Platformto join our team. Reporting to theSoftware Development Manager, youwillbe responsibleforbuilding the data infrastructure that is keyto our products by organizing, collecting, and interpreting dataand thenturning that informationinto actionable insightsthat inform company decisions and drivesgrowth.


You will be part of a team that is self-motivated,highly collaborative,eager to learn and be challenged, and enjoys having fun.


Who are we?

Krux builds innovative SAAS solutions for the mining industry. 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. Krux, founded in 2016 and headquartered in Alberta, has global reach. We support client's operations on every continent (well, except Antarctica).


What you will do

  • Design, develop andmaintainenterprise scale Power BI semantic models (tabular)
  • Architect scalable and high-performance data modelsto support multi-tenant SaaS analytics
  • Define best practices for dataset design, governance, andlifecyclemanagement
  • Optimizemodel performance, DAX calculations,aggregationsand storage strategies
  • Manage and enhance Power BI service environments (workspaces, deployment pipelines, security)
  • Monitor and improve analytical database performance in cloud environments
  • Conduct model tuning and capacity optimization to support growth and usage scaling
  • Evaluate and enhance current analytics platform architecture
  • Partner withteammates forETL and data pipeline improvements
  • Providetechnical guidance on semantic layer design and analytics best practices
  • Support cross functional stakeholders with scalable reporting architecture
  • Assistin high-priority analytics platform issues

Who you are:

  • You areanexpertinPower BIdata modeling and Power BI services
  • You are deeply performance-minded, with a strong instinct for optimization, tuning, and proactivelyidentifyingissues before theyimpactusers or systems.
  • You are security-conscious and disciplined, understanding the importance of data protection, access controls, and system reliability in production environments.
  • You are a collaborative team player who works effectively with developers, QA, and product partners to solve complex problems and improve delivery outcomes.
  • You are a mentor and continuous learner who enjoys elevating others, improving engineering practices, and staying current with evolving database technologies.

What you bring:

  • Bachelor's Degree (Computer Science, Technology, Engineering, or related field)
  • 10+years of experienceas a data analyticsdeveloperor engineer
  • 5+ years of experience in developing dataarchitecture solutions using Tabular Editoris highly desirable
  • Experience in the energy, drilling and/ormining sector is an asset
  • Experience with databases for high performance, multi-tenant web applications is necessary
  • Familiarity with Azure cloud data services
  • Experience withdevtoolsincluding Git, Azure, DevOps, Visual Studio, Jira
  • Understandingof modern data development technologies (data engineering, pipeline, ETL)
  • Strong attention to detail, critical thinking, and problem-solving skills.


Work Location:
Calgary, AB (Office islocateddowntown)

Work remotely:Hybridwork schedule


When You Work at Krux:

  • You will be valued and respected.We believe every team member brings valuable ideas and experiences no matter their seniority. We support and empower the team and trust you to get the job done.
  • You will be part of a team where we lend each other a hand.We strive for high performance by fostering an environment that emphasizes communication, collaboration, and mentorship. We believe that the only way to succeedis together.
  • You will help our customers.Not every roleis customerfacing but at the end of the day we are all working to make ourcustomers'lives easier. Our goal is to create innovative solutions with a strong emphasis on user experience.
  • You will have a life outside of work.We have partners, kids, families, and friends too, so we realize that work is just one part of your life. Krux offerswork-life balance with flexible hours anda hybrid schedule.


We value the power of our differences and at Krux, we walk our talk. We have a diverse team(including in leadership positions)and are dedicated to creating a diverse,equitable,and inclusive environment. We ensure equal opportunity for all applicants and encourage people of allvisible minorities, includingIndigenous applicants,and those of any religion, sex, age, ability, sexual orientation, genderidentityor expression to apply.

Now What?

If this position sounds like a great fit, we want to hear from you!


Submit your cover letter and resumetoday.