Manager, Data Insights & Analytics (Customer & Grid)

Airswift is searching for a Data Analytics Manager who will be working under a Permanent (Full Time) basis for a MAJOR Client in the STEM industries in Halifax, Nova Scotia.

Please submit your resume to fabio.coacci@airswift.com - title - "Data Analytics Manager - Halifax, Nova Scotia".

This position operates under a hybrid schedule and candidates must be based in Halifax.

As the leader of the Data Insights & Analytics Team, you will play a vital role in leveraging data to inform customer insights, optimize operations, enhance efficiency, and drive strategic decision-making.

You will advance the data analytics practice by leading a team of data professionals and collaborating with data and business leaders across the organization to develop innovative, value-based solutions for customers. This important role exists within the Customer & Grid Intelligence team.

Key Responsibilities:

1. Lead a team of data analytics specialists to create analytics products to support customer & grid management business functions.
2. Develop and maintain outstanding working relationships with leaders from various business domains including customer service, engineering, operations, asset management, and IT.
3. Maintain visibility and alignment of analytics work across business domains to effectively prioritize use cases and allocate resources to support strategic objectives.
4. Manage external product and service providers in the delivery and ongoing support of analytics solutions.
5. Stay updated with the latest trends, technologies, and methodologies in data science, artificial intelligence, and machine learning, and identify opportunities to apply them to enhance processes and products.
6. Champion the value of analytics to educate and influence the development of analytics skills across the organization.

Required Skills:

1. Bachelor's or master's degree in a relevant field (such as data science, statistics, or engineering).
2. Proven experience in data analytics, preferably within the energy sector.
3. Knowledge and practical experience in machine learning, statistical modeling, predictive analytics, and data visualization techniques.
4. Proven team leadership, motivational, and performance management skills.
5. Strong written and presentation skills with the ability to organize and convey complex analytics content in a compelling way.
6. Ability to plan, prioritize, and deliver multiple initiatives and objectives within established timelines.
7. Experience managing vendors/external service providers.
8. Exceptional negotiation skills with the ability to influence and resolve complex and critical issues.
9. Capable of delivering value-based outcomes in support of an industry sector undergoing a transformation.
10. Innovation mindset to support the identification, analysis, and recommendation of new value opportunities.