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Senior Data Analyst information
What is a senior data analyst?
What does a senior data analyst do?
A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.
What are some common challenges senior data analysts face when collaborating with cross-functional teams?
What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?
What is the difference between Senior Data Analyst vs Data Scientist?
| Aspect | Senior Data Analyst | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's degree in data-related field; experience in analytics tools | Bachelor's or master's in data science, statistics, or related fields; often more advanced certifications |
| Work Environment | Business intelligence teams, analytics departments | Research teams, data science departments, R&D |
| Employer & Industry Usage | Finance, healthcare, retail, tech companies | Tech firms, startups, research institutions |
| Common Search & Comparison | Often compared for analytical roles with data science | More advanced, predictive modeling focus |
The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.
How much is a senior data analyst paid?
Is a senior data analyst a good job?
What are the most commonly searched types of Data Analyst jobs in Calgary, AB?
The most popular types of Data Analyst jobs in Calgary, AB are:
What are popular job titles related to Senior Data Analyst jobs in Calgary, AB?
For Senior Data Analyst jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst jobs in Calgary, AB look for?
The top searched job categories for Senior Data Analyst jobs in Calgary, AB are:
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Cities near Calgary, AB with the most Senior Data Analyst job openings:

Full-time
Retirement, PTO
Re-posted 28 days ago
Key responsibilities
Manage the end-to-end price curve framework, including new curve requests, methodology design, system configuration, and daily validation.
Own and maintain the central curve register, ensuring all curves are properly catalogued and reviewed.
Execute daily validation and independent price verification processes, compare curve outputs to market sources, and prepare related reports.
Job description
A little about Capital Power
Capital Power (TSX: CPX) is dedicated toPowering Change by Changing Power. This north star guides our ambitions, focus, and actions as we transform our energy system. We're a growth-oriented North American energy company headquartered in Edmonton, Alberta. Our team safely delivers, builds, and creates balanced energy solutions for customers across North America.
Our people are at the core of our journey to deliver reliable, affordable, and lower-carbon power solutions. We provide purpose-driven work in a safe and inclusive environment, and we live by our North Star. With us, your contributions matter - we want you to be empowered to innovate, collaborate, and ultimately drive results. We're here to partner with you so you can learn, grow, and forge a career that's meaningful to you. Join us in powering North America!
Your Opportunity:
OnePermanentFull TimePosition.
TheSr. Analyst, Market Dataowns Capital Power's end-to-end price curve framework within the Risk Group. The role is accountable for the quality, integrity, and governance of all priceand market datacurves used across the commodity portfolio, spanning new curve intake,methodologydesign, system configuration, daily productionand validation, independent price verification (IPV), and governance reporting.
The successful candidate will combine strong quantitative and systems skills with sound professional judgment and a commitment to robustcontrols andwill serve as the subject-matter expert on all matters related to commodityand market datacurves.
You will contribute to our team by:
Key Accountabilities:
Serve as the single point of contact for all newcommodity and market datacurve requestsandmanage the intake process from request through governance approval.
Design, build, calibrate, and document forward price curve models across commodities and delivery points, including directly observable, interpolated, and proxy / spread-to-benchmark approaches.
Own andmaintainthe central curve register, ensuring all curves are catalogued with current attributes, approval status, and scheduled review dates.
Configure andmaintainapproved price curves in ZEMA (data ingestion, quality rules, curve construction logic) and Allegro (curve definition, valuation formulas, P&L attribution); lead UAT and production deployment.
Monitor daily curve production across all curves; investigate and resolve data feed failures, quality alerts, andotherflags within EOD SLAs;maintainand test fallback procedures.
Execute the firm's dailyvalidationandmonthlyindependent price verification (IPV) process; comparecurveoutputs to independent market sources; prepare and distribute IPV reports; escalate material exceptions.
Conduct or coordinate independent validation of all new and materially modified price curve models; issue structured validation reports; track findings to remediation; manage the periodic revalidation schedule.
Prepare and present submissions toRisk OversightCommittee; produce periodic governance reports covering inventory status, open findings, IPV exception trends, and curve performance.
Maintain the model risk and governance framework for price curves in alignment with Model Risk Policy and applicable regulatory guidance; support audits and regulatory examinations.
What you will bring to the role:
Education & Experience:
Post-secondary degree in Finance, Economics, Mathematics, Engineering, or a related field.
Advanced degree (e.g., Master's, PhD) or professional designation (e.g., CFA, FRM, PRM) is an asset.
5-7+ years inriskmanagement, market data, model validation, or quantitative risk in a commodity trading or energy environment.
Hands-on experience building orvalidatingforward price curves, including proxy / spread-to-benchmark methodologies with regression-based parameter calibration.
Direct experience with ZEMA and / or Allegro in a production environment strongly preferred.
Familiarity with model risk frameworks andorganizedcommodity markets (AESO, IESO,CAISO, MISO,ERCOT, PJM, Henry Hub,environmental) preferred.
Technical Skills:
Apply risk management systems and analytical tools (ETRM, Excel, Python, R) to build, validate, and maintain pricing models and data workflows.
Query and integrate market data using SQL and data APIs (e.g., ICE Data Services, ZEMA, Nodal) to support curve production and validation processes.
Automate repetitive data processes and controls using scripting, with an ability to identify opportunities to streamline manual workflows.
Develop, validate, and maintain pricing methodologies, including proxy/spread-to-benchmark and regression-based approaches, across liquid and illiquid markets.
Demonstrate working knowledge of power market data, forward price curves, and valuation models in regional markets (e.g., WECC, AESO, PJM).
Leverage AI and emerging analytical tools (e.g., Copilot, LLMs, machine learning libraries) to enhance data quality checks, anomaly detection, and reporting efficiency, or demonstrate a genuine curiosity and willingness to explore these tools as they evolve.
Communicate technical content clearly in writing and verbally; able to present pricing governance updates, exception analysis, and model validation findings to committees and senior stakeholders.
Working Conditions:
- Hybrid office/workfromhome environment.
- Minimal travel required
- Candidates must be legally eligible to work in Canada
- The successful candidate will undergo education verification, reference checks, and a criminal and credit record check
Additional Details:
Capital Power employeesthatrefera successful candidate for this positionare eligible for a$1000Referral Reward!
We believe that supporting employee physical, mental, financial, and social well-being is critical to our success. We offer a comprehensive package including flexible benefits, retirement savings programs, paid time off, and ongoing development opportunities.
This role includes a competitive base salary, annual incentive, and participation in Capital Power's long-term incentive program.
How To Apply and Next Steps
Capital Power only accepts resumes via online application atwww.capitalpower.com/careers. If you choose to submit your resume by any other means, we cannot guarantee that your application will be considered for vacancies.
Applicants with disabilities who require a reasonable accommodation to complete their application can request accessible formats, communication support, or other accessibility assistance by contactingcareers@capitalpower.com.
Capital Power is committed to providing a fair and transparent hiring process. We recognize and embrace the value of diversity and hire employees with the appropriate skills, experience and knowledge for each position.
Thank you for taking the time to apply and expressing interest in powering a sustainable future with Capital Power! We wish that we could personally respond to everyone who applies; however, it is our practice to contact only those individuals selected for interviews.