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Manager Data Analytics Engineer Jobs in Calgary, AB

... analysis and commissioning, asset management and analyticsand advisory services. BBA has a new ... Management (PAAM) team. BBA's PAAM teamis an advanced multidisciplinary group of engineers, data ...

Translate business and analytical requirements into endtoend ML/AI solution design, * Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g ...

Data Theorem is an exciting company focused on creating a more secure world for data. Rooted in a ... As an iOS engineer, you will be responsible for improving our scanning engine, for analyzing iOS ...

E Source is a research, data/analytics, and technology focused professional services firm focused ... technologies to manage their business more effectively. Headquartered in Texas, we have 450 ...

Post-secondary degree in Finance, Economics, Mathematics, Engineering, or a related field. Advanced ... Apply risk management systems and analytical tools (ETRM, Excel, Python, R) to build, validate, and ...

We are looking for an experienced Senior QA Engineer for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

Showing results 41-60

Manager Data Analytics Engineer information

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

What are the most commonly searched types of Data Analytics Engineer jobs in Calgary, AB?

The most popular types of Data Analytics Engineer jobs in Calgary, AB are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Calgary, AB?

For Manager Data Analytics Engineer jobs in Calgary, AB, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Calgary, AB look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Calgary, AB are:

Junior Advisor, Asset Analytics

BBA, Inc.

Calgary, AB • On-site

Full-time

Re-posted 10 days ago


Job description

An overviewof your future role

BBA is a leading North American consulting firm that provides a broadrange of services, including engineering and design, digital power systems,in-field testing, analysis and commissioning, asset management and analyticsand advisory services.

BBA has a new opportunity for a Junior Advisoras part of our Power Advisory and Asset Management (PAAM) team. BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists, mathematicians, statisticians, policy-makers and advisors who arecollectively building the next generation of decision-making analytics andplatforms to help organizations make their asset infrastructure more resilientin the face of extreme weather, growing capacity needs and the integration ofnew technologies (e.g., electric vehicles, renewables, data centres). Our worksupports a variety of organizations, including electric GT&D utilities,independent power producers and commercial customers, to avoid potential risksby taking the right actions, with the right assets, at the right time.

This new opportunity will involve a wide rangeof challenging projects in the utility and power sector, along with exposure tothe mining and industrial sectors.

With us, you'll get the opportunity to... 

  • Help deliver decision-making asset analytics, including advanced asset condition assessment and monitoring, risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic analytics
  • Support the delivery of top-down and bottom-up load forecasting for power utilities, large industrial customers and independent power producers
  • Develop asset analytics dashboards, visualizations, digital twins and geospatial visual environments to convey key decision-making messages to asset players
  • Support the development of key performance indicators, metrics and measures to enhance productivity, operations and risk management
  • Support the delivery of regulatory reporting deliverables, including long-term and short-term capital and maintenance investment plans as part of electricity rate filing applications
  • Support the development of business case evaluation (BCE) frameworks to justify and prioritize key investments
  • Perform end-to-end data analytics, including data collection, transformation, analysis, and visualization
  • Support the development of new decision-making technologies leveraging advanced machine learning, deep learning and artificial intelligence techniques
  • Engage in hands-on consulting work, including data analysis, research, stakeholder interviews and preparation of final deliverables
  • Delivery of engagement and contribution (E&C) programs to present key findings from major projects as part of knowledge sharing, client engagement and networking activities

Do your qualities and values match ourcorporate culture?
  • Autonomous
  • Aptitude for self-development
  • Results-driven
  • Excellent communication and soft skills
  • Attention to detail
  • Strong organizational skills
  • Thirst to learn and excel
  • Rigorous and ethical
  • Caring mindset that puts people first