Data Science Analyst

Do you love sports, leisure, and recreation? Are you passionate about leveraging data to drive decision making and achieve goals? Read on!

The Company
We are ActiveXchange, a multi award-winning, passionate, and rapidly expanding data technology company serving the Sport, Physical Activity, and Recreation industry across Canada, USA, UK, Australia and New Zealand. We support recreation facilities, provincial and national sports, municipalities, and other organizations as they use data & business intelligence to make evidence-based decisions to grow active and healthy lives of communities all over the globe. The ActiveXchange Network securely brings data together on millions of participants and members every day to help organizations to make more informed and connected planning, funding, and operational decisions. ActiveXchange builds networks of relevant data, enabling our Data Science team to generate powerful predictive models, often using machine learning (AI). Our clients also have access to a growing list of bolt-on optional modules, including hosting Canada’s National Infrastructure Database (partnership with the Canadian Parks and Recreation Association).
Find out more at www.activexchange.ca

The Role
The Data Science Analyst at ActiveXchange is a full-time remote-first role responsible for analyzing and interpreting complex data sets, creating models, and developing predictive algorithms to help organizations make informed and strategic decisions. The Data Science Analyst will work closely with cross-functional teams to develop insights, identify trends, and communicate complex technical ideas in a clear and understandable way for our key accounts in sports, recreation, and leisure across our global network of clients.
Join our growing Canadian team, who are part of a global sport and recreation data tech company. Remote-first team & ability to work from anywhere within Canada – some travel is required.
Capitalize on your strong data focused technical background and experience with business intelligence and technology to act as a subject matter expert internally and for our clients and enable a collaborative approach to maximizing value of client and sector data.
Shape an industry approach and empower data application to positively influence people being more active, more often.

You will:
Be confident and knowledgeable in working with data supplied in various formats from customers (CSV, Excel etc.) and wrangling and ingesting that data. Using “the right tool for the job” to then work with that data to analyze and compute desired outcomes.
Continuously maintain a deep understanding of our products and solutions to be a subject matter expert for our clients, including demonstrations and presentations.
Oversee the technical and data support for a portfolio of ActiveXchange’s clients to deliver an ongoing seamless user experience / program.
Ensure quality and accuracy of datasets; then process, design and present data in ways which help people, businesses and organizations make better decisions.
Interpret and apply internal and external stakeholders technical goals, objectives, and requirements. Track and report on progress. Enable customer value through timely delivery of technical data product, analytics, and intelligence.
Produce bespoke client data analytics and visualizations, in a timely fashion in compliance with technical requirements and commercial priorities of the business.
Conduct peer-reviews of technical and data work product.
Produce cohesive and efficient documentation for knowledge sharing; when designing/improving processes, procedures, standards, etc.
Work closely with other functions such as Product, Data and Analytics, Technology, and Commercial to ensure a smooth journey for our customers during all stages of their lifecycle.

Qualifications
Bachelor’s degree or higher in Mathematics, Computer Science, Statistics, or a related quantitative discipline.
2+ years of professional experience in data analysis, data science, or a related quantitative role.
Highly logical with strong demonstration of critical thinking and analytical approach to problem solving. Demonstrates methodical and consistent application of structured problem-solving techniques. Solid understanding of statistical analysis and modelling techniques, including regression, clustering, and decision trees.
Proficiency (and broad skillsets) across tools associated with data management and analytics, including and not limited to;
Excel, .csv
Azure SQL Server, Data Studio, T-SQL
Azure Data Factory, Databricks
Python, Jupyter Notebooks
Looker Studio (or similar BI tools)
QGIS & MapBox (or similar GIS tools)
Experience with machine learning techniques such as Random Forest, Gradient Boosting, or Neural Networks.
Excellent at cultivating and leveraging strong technical working relationships, both internally and externally. Experience working in a global multinational context is a plus.
Experience working with cloud-based data platforms (Azure) and in a SaaS context is a plus.
Experience with demonstrable application of sports or recreation industry data is a plus. Data literate within a sport, leisure, or recreation context, with the ability to understand and apply “real world” critical thinking to customer datasets and business intelligence.
Technical professional fluency in English (speaking, reading, writing). Must convey information clearly and concisely, while demonstrating the ability to understand the same.
Experience working with Google Productivity suite, Slack, and ClickUp or similar productivity systems.

Our ideal candidate
Self-motivated and reliable, with great attention to detail.
Is a ‘Team Player’ – believes individual success is only achieved through team success.
Manages their time exceptionally well and able to deliver work independently as needed.
Personal interest in keeping up to date with new / relevant sports and recreation market trends, data and technology innovations.
Confident and willing to draw on your own experiences. Speaks up when discussing solutions and propose alternative options. (Challenges the status quo!)
Flexible, able to manage personal work schedule and expectations to accommodate regular coordination with international offices and events. Some occasional late evening, early morning, and weekend work may be required to accommodate international time zones.
Preference may be given to strong candidates located in a major Canadian city.

Salary Range & Benefits
$80-$100k CAD (commensurate with qualifications and experience),
Health/Dental/Life Stipend, Fitness/Wellness Stipend, and more.

Ready to Apply?

Apply via https://www.linkedin.com/jobs/view/3768725697/ or reach out to Chris Patterson, GM – North America at chris@activexchange.ca.

Candidates will be shortlisted and interviewed as applications are received, until the position is filled.
Target Start Date: Q1 2024.