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Remote Golf Data Analytics Jobs in Alberta (NOW HIRING)

Application Integration Analyst Division: IT Service Management Job location: Remote (Canada) Hours ... Write and maintain code for data transformations, workflow automation, and application ...

Intermediate Spatial Ecologist

Calgary, AB ยท On-site +1

CA$43.90 - CA$60.40/hr

... analysis. * Create clear and compelling data visualizations using Python and/or R. * Integrate remote sensing datasets, including satellite imagery, LiDAR, UAV/drone imagery, and Earth observation ...

Intermediate Spatial Ecologist

Calgary, AB ยท On-site +1

CA$43.90 - CA$60.40/hr

... analysis. * Create clear and compelling data visualizations using Python and/or R. * Integrate remote sensing datasets, including satellite imagery, LiDAR, UAV/drone imagery, and Earth observation ...

We are committed to driving impactful changes through data analytics and technology, harnessing our ... We hire curious people and then actually give them room to run. - Remote flexibility that means ...

Join our team and what we'll accomplish togetherDescription The Enterprise Analytics Platform team ... Comfort with distributed teams and experience managing offshore or remote team members * Ability to ...

Join our team and what we'll accomplish togetherDescription The Enterprise Analytics Platform team ... Comfort with distributed teams and experience managing offshore or remote team members * Ability to ...

Showing results 41-60

Remote Golf Data Analytics information

What is a remote golf data analytics professional?

A Remote Golf Data Analytics job involves analyzing data related to golf, such as player performance, course statistics, and tournament outcomes, while working from a remote location. Professionals in this role use statistical tools and software to gather insights, create reports, and help improve decision-making for golf teams, organizations, or technology platforms. Responsibilities may include data collection, model building, and interpreting trends to enhance player development or fan engagement. Working remotely allows analysts to collaborate with clients or teams worldwide, often using cloud-based systems and communication tools.

What are some common challenges faced by professionals in remote golf data analytics roles, and how can they be addressed?

Remote golf data analytics professionals often encounter challenges like accessing real-time data from various courses, ensuring data accuracy, and effectively communicating insights to non-technical stakeholders. To address these, it's important to establish clear data collection protocols, leverage secure cloud-based analytics platforms, and maintain regular virtual meetings with team members and golf professionals. Building strong communication skills and staying up-to-date with the latest analytics tools can also help overcome these challenges and contribute to successful project outcomes.

What are the key skills and qualifications needed to thrive as a remote golf data analytics professional?

To excel in Remote Golf Data Analytics, you need strong analytical skills, a background in statistics or data science, and knowledge of golf performance metrics. Familiarity with data analysis tools such as Python, R, SQL, and golf-specific software is typically required, along with certifications in data analytics or sports analytics being advantageous. Excellent communication, attention to detail, and problem-solving skills help translate complex data into actionable insights for coaches and athletes. These competencies are essential to drive data-informed decision-making and improve player performance in the competitive golf industry.
What job categories do people searching Remote Golf Data Analytics jobs in Alberta look for? The top searched job categories for Remote Golf Data Analytics jobs in Alberta are:
What cities in Alberta are hiring for Remote Golf Data Analytics jobs? Cities in Alberta with the most Remote Golf Data Analytics job openings:
Infographic showing various Remote Golf Data Analytics job openings in Alberta as of August 2026, with employment types broken down into 7% Internship, 62% Full Time, 14% Part Time, and 17% Contract. Highlights an 100% Remote job distribution.

Data Architect - Senior (Remote) JP943

P@thlion Staffing Careers

Edmonton, AB โ€ข Remote

Full-time

Re-posted 27 days ago


Job description


Project Name:
JIMS 3.0 (Justice Information Management System)
Scope:
Justice Information Management System (JIMS) 3.0 is a data integration project aimed to amalgamate, re-design and implement several disjointed reporting data marts containing court data into an Enterprise Data Warehouse (EDW) and a set of dependent data mart and views. This project will replace the existing six stand-alone IBM Cognos BI data marts JIMS, Crown File Ownership (CFO), Court Case Management (CCM), Courtroom Utilization, Courtroom Activity, and Case Adjournment) with a well-integrated data warehouse. The existing data marts extract, process, re-structure and aggregate data required for strategic, operational and ad hoc reporting of court data stored in the Justice Online Information Network (JOIN) database. The goal of the project is to evolve availability, governance and reporting of court data by implementing a more efficient, user-friendly, faster and cost-effective reporting architecture. The following benefits will be realized through the project:
Integrated and dynamic architecture
Interactive reporting
Reporting lag
Preservation of historical data
Improved data governance
This Senior Data Architect role will:
review existing data marts,
perform detailed data profiling,
analyze and create design and mapping specifications,
identify Dimensions required for Facts,
complete detailed data profiling of tables included in Facts,
develop and test Extract Transform Load (ETL) processes,
develop Power BI reports for testing for several Dimensions,
testing of Dimensions and Fact for quality assurance
update JOIN as-is data models for new Fact attributes,
stage the required data
address minor fixes in delivered data marts,
provide feedback and lessons learned at project close out.
Duties:
Facilitate the effective definition and management of the data architecture (e.g. principles, strategies, architectures, methods, design principles, models, standards, guidelines, plans, etc.);
Encourage data models and practices that reduce data redundancy by promoting reuse/sharing (in keeping with the IMT strategy);
Identify and document enterprise data requirements;
Encourage practices that improve data quality;
Develop and lead the transition plans that will guide current data to its ideal future state;
Lead or assist in communication activities surrounding the Sectors and Government of Alberta Enterprise Architecture (GAEA) data architecture;
Contribute to the definition and development of the enterprise architecture framework, and associated corporate solution design and delivery methods, thus improving the proactive alignment of data architecture;
Respond to requests for extensions to the scope of the data architecture;
Provide information, advice, guidance, and consultancy to initiatives/projects that are defining or aligning to the data architecture – thus promoting compliance to the data architecture and IMT strategies;
Establish and participate in design reviews, regular or ad-hoc architectural reviews – ensuring correct interpretation of the data architecture, and IMT strategies; and
Provide support to other members of the enterprise architecture team as required