Division:            Business Technology, Electricity

Location:            Calgary or Edmonton, AB

 

Everyday a new adventure!

Position Summary:

Always there. Anywhere. That’s us! We’ve got a lot of energy at ATCO, focused on creating prosperity for generations to come. Embrace challenge and growth because your career journey at ATCO has the potential to be full of new experiences, inspiring challenges, and growth without boundaries. 

We are at the forefront of a rapidly evolving company where new technological frontiers are being established daily. It’s a fast-paced, exciting environment where we thrive with meaningful work and are supported at every turn. 

The Utilities Data Management team at ATCO Energy Systems is looking for an experienced Senior Data & Analytics Specialist to join our team. The ideal candidate will have advanced technical skills, leadership experience, and a passion for data-driven insights. This role is well-suited for someone who can lead a team of analytics experts, manage end-to-end data and analytics projects, and effectively engage stakeholders to deliver impactful data solutions.

The successful applicant will have extensive data science and advanced analytics expertise and proficiency in Power BI. Candidates should also be knowledgeable in data engineering and possess strong technical skills in SQL, Python, and Databricks. The ideal candidate should also demonstrate strong stakeholder engagement and process improvement skills, effectively combining technical knowledge with interpersonal abilities to align data with strategy.

As a Senior Data & Analytics Specialist, you will be pivotal in advancing our data capabilities, fostering team growth, and delivering insights that drive our strategic vision. We encourage you to apply if you are a results-oriented, technically skilled professional with strong leadership and communication abilities.

Responsibilities:

Team Leadership & Development

Lead, mentor, and develop a team of analytics experts, promoting a high-performance, collaborative culture. Manage the team’s workflow and oversee analytics projects from start to finish, ensuring quality and alignment with business goals. Provide technical guidance to team members to ensure timely and successful project delivery.

Data Analytics & Data Science

Perform and oversee advanced data analytics, including predictive modeling, statistical analysis, and machine learning to generate actionable insights.  Design and implement analytical models and solutions to address business challenges and forecast trends.

SQL & Python Expertise

Demonstrate expertise in SQL and Python for data extraction, manipulation, and analysis, ensuring data accuracy and integrity.  Optimize queries and scripts to handle large datasets, support analytics workflows, and deliver timely results.

Power BI & Data Visualization

Design and develop user-friendly Power BI dashboards and reports, translating data insights into clear, impactful visualizations for business stakeholders.  Train stakeholders in Power BI self-service analytics and support data visualization best practices.

Process Improvement

Identify, design, and implement process improvements within analytics workflows, enhancing efficiency, scalability, and data quality.  Develop/lead initiatives to enhance data quality, streamline reporting, and develop scalable data solutions.

Stakeholder Engagement & Communication

Collaborate with stakeholders to understand their needs, align analytics with business goals, and communicate findings. Build and maintain strong relationships with stakeholders, ensuring alignment and satisfaction with analytics solutions.

Qualifications:

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field. Minimum of 7+ years in data analytics, data science, or data engineering, with at least 3 years in a team leadership role. Certifications in data analytics, data science, or Power BI is preferred. Familiarity with cloud platforms such as Databricks is preferred. Proficiency in SQL and Python for data manipulation and analysis. Expertise in Power BI development, data visualization, and report design. Hands-on experience with Azure Databricks for data engineering and ETL processes. Strong knowledge of statistical analysis, predictive modeling, and machine learning techniques. Demonstrated ability to streamline analytics processes and improve data quality and accessibility. Excellent interpersonal and communication skills, with a proven ability to build strong relationships and translate complex data insights into actionable business recommendations.

What We Offer:

A culture based on caring, integrity, agility, collaboration, and striving for excellence. Competitive compensation Flex benefits Tuition assistance program Training and mentorship programs Charitable donation matching

 

ATCO - The place to be at with diversity of operations across multiple business lines and geographies and there are always opportunities to work in different departments or roles.

We would like to thank everyone for their application; however, only those being considered for an interview will be contacted.

ATCO Electric is part of ATCO Ltd. With approximately 6,000 employees and assets of $23 billion, ATCO is a diversified global holding corporation with investments in Structures & Logistics (workforce housing, innovative modular facilities, construction, site support services, and logistics and operations management), Energy Infrastructure (electricity generation, transmission and distribution; natural gas transmission, distribution and infrastructure development; energy storage and industrial water solutions; and electricity and natural gas retail sales), Transportation (ports and transportation logistics) and Commercial Real Estate. More information can be found at www.ATCO.com. ATCO is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, veteran status, sexual orientation, gender identity or any other characteristic protected by law.  

Issued: November 1, 2024

Deadline: November 15, 2024