Senior Analytics Product Specialist

Keyera Career Opportunity Why Keyera?

It’s our purpose-driven culture, benefits, and people. From flexible, customizable benefits and an employer-funded pension plan to our Keyera Connects social investment program and paid employee volunteer days, we’re focused on empowering our people and communities.

When You Work With Us, You'll Enjoy Flexible Benefits

to meet your individual and family needs, including

- $3,500 plus 4.5% of base salary each year to customize your benefits and investments

- Saving plan options, including an Employee Share Purchase Plan, RRSP, and TFSA

- Defined Contribution Pension Plan funded by Keyera up to 10% of base salary

- Wellness Personal Spending Account of $750 per year to cover wellness expenses

Paid vacation and eight flex days each year

- Two paid volunteer days each year to support the causes that are most important to you

- Employee Family Assistance Program with a variety of support resources from professional counselling to financial planning support and more.

Role/Location Specific

- Keyera’s Northern Allowance is a tiered incentive program based on years of service, currently offered to employees working at the following locations: Grande Prairie Office, Wapiti, Simonette, Gold Creek, South Cheecham, and Fox Creek Terminal. This information reflects the current state of the program and may be subject to change over time.

Please note that compensation and benefits may be different based on the work location, position, and a candidate's experience and qualifications.

Job Type

Permanent

THE POSITION

Keyera is looking for a Senior Analytics Products Specialist who operates at the intersection of data development, modeling, and business impact. In this role you will work across business stakeholders, data developers, and product leaders to turn raw data into durable, trusted, and reusable data assets that power reporting, advanced analytics, and emerging AI use cases — particularly in asset-intensive, operational, and capital-driven environments. This role is focused on thinking in terms of systems, not reports, with a focus on optimizing outcomes, instead of outputs.

This role is ideal for someone who can translate complex business problems into scalable data products by designing robust data models, building production-grade transformations, and delivering analytics solutions that materially improve decision-making.

Responsibilities

- Build Scalable Data Products

- Works with key business partners to understand business priorities, identify strategic initiatives, and develop effective and timely analytic solutions

- Creates interactive dashboards, reports, and presentations to effectively communicate complex analytical findings to stakeholders

- Design and develop production-grade data models (dimensional, semantic, domain-oriented).

- Build reusable, governed analytics layers that serve multiple use cases.

- Create curated datasets that enable self-serve analytics and advanced modeling.

- Develop transformation logic using programming languages such as SQL and Python.

- Ensure performance, scalability, and reliability of analytics products.

- Model complex operational and asset-related data (e.g., equipment, facilities, production, maintenance, projects).

- Own the Analytics Layer

- Lead transformation logic (SQL-first, with selective use of Python, Spark, or equivalent).

- Implement testing, documentation, and observability in analytics workflows.

- Establish modeling standards and data product design principles.

- Partner with platform leads to ensure upstream alignment and downstream usability.

- Design analytics layers that can support operational reporting, forecasting, and optimization use cases.

- Drive Business Outcomes

- Translate ambiguous business problems into structured data solutions.

- Define success metrics and measure impact of delivered solutions.

- Move beyond descriptive reporting into diagnostic and predictive insight enablement.

- Enable operational decision-making, not just executive visibility.

- Support use cases such as asset performance, reliability, cost efficiency, capital execution, and operational throughput.

- Influence Data Architecture & Governance

- Contribute to semantic layer design and metric standardization.

- Align data definitions across domains (operations, finance, engineering, projects).

- Support data quality frameworks and stewardship practices.

- Champion analytics best practices across the organization.

- Help establish trusted definitions for asset hierarchies, work orders, projects, and cost structures.

Impact Expectations

Within 6–12 Months, This Role Will

- Establish trusted, reusable data products in key operational and asset domains.

- Reduce ad-hoc analytics through standardized, governed models.

- Improve decision cycle times for operational and capital decisions.

- Enable consistent, reliable insight across assets, projects, and performance metrics.

- Raise modeling and analytics maturity across the team.

Qualifications

Technical Leadership Attributes

- You think product-first, not task-first.

- You understand trade-offs between flexibility, governance, and speed.

- You design data products that last.

- You can operate autonomously in ambiguous environments.

- You influence stakeholders through clarity and credibility.

- You elevate the standards of those around you.

- You are comfortable working with imperfect, operationally sourced data and making it decision-ready.

- Experienced in mentoring and coaching other technical resources

Technical Capabilities

- Advanced SQL and data transformation expertise.

- Strong understanding of data modeling (Kimball, domain-driven, semantic modeling).

- Experience with modern data stacks (e.g., Databrick).

- Working proficiency in Python for data transformation and analytics product development

- Experience building analytics-ready datasets for BI, ML, and operational use.

- Strong grasp of performance optimization and cost-aware design.

- Familiarity with orchestration, version control, CI/CD for analytics workflows.

- Experience implementing data testing and quality controls.

- Experience working with data from operational, maintenance, or project systems (e.g., EAM, ERP, scheduling, historian, or similar platforms).

Business & Product Capabilities

- Structured problem-solving.

- Ability to define measurable outcomes and KPIs.

- Strong stakeholder engagement and requirements shaping.

- Ability to balance quick wins with long-term architectural integrity.

- Clear communicator — translates technical complexity into business clarity.

- Comfortable partnering with operations, engineering, finance, and project teams.

Ideal Experience Profile

- 15+ years in analytics, data development, or advanced BI.

- Experience working in asset-intensive, capital-driven, or operational environments.

- Experience working in product-oriented data organizations.

- Demonstrated track record of delivering analytics solutions that drove measurable business outcomes.

- Comfortable operating in evolving data architectures and complex domain landscapes.

Posting Expiry Date

Mar 27, 2026

At Keyera, we embrace collaboration, inclusion, and a workplace that is as diverse as the communities we serve. Our values foster an environment for every person to bring their whole self to work.

We offer a well-rounded total compensation package and a comprehensive benefits program designed with the well-being and empowerment of our employees and their families in mind.

If you are interested in an opportunity to join a winning, purpose-driven culture then you’ll enjoy a career with us.

We thank all applicants for their interest; however, only those considered for an interview will be contacted.