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Engineering Data Analyst Jobs in Alberta (NOW HIRING)

... working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational ...

... working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational ...

... working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational ...

Execute ML/AI engineering tasks including exploratory data analysis, data preparation, model development (e.g., forecasting, classification, recommendation, anomaly detection) using tech stack such ...

Bachelor's degree in Finance, Accounting, Economics, Business, Mathematics, Statistics, Engineering, Data Analytics, or a related field. Experience * 2-3 years of experience in Finance, Business ...

Bachelor's Degree (Computer Science, Technology, Engineering, or related field) * 10+ years of experience as a data analytics developer or engineer * 5+ years of experience in developing data ...

We provide actuarial, administration, software programming, and consulting solutions for pension ... Quality control of year-end data input and verification of program output, including Annual Benefit ...

... analytics platforms such as Elasticsearch/OpenSearch. * Develop and maintain RAG-style pipelines ... Bachelor's degree in computer science, Engineering, Data Science, or a related field, or equivalent ...

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... data centers, enterprise servers, and high-performance computing systems. Working closely with ... Strong problem-solving, troubleshooting, root cause analysis, and corrective action skills.

New

Showing results 21-40

Engineering Data Analyst information

What is an engineering data analyst?

An Engineering Data Analyst is a professional who uses data analysis techniques to support engineering projects and decision-making. They collect, clean, and interpret large sets of engineering data, often using specialized software tools. Their work helps identify trends, optimize processes, and improve the efficiency and quality of engineering solutions. They often collaborate with engineers and project managers to turn data insights into actionable recommendations.

What are the key skills and qualifications needed to thrive as an engineering data analyst?

To thrive as an Engineering Data Analyst, you need strong analytical skills, proficiency in mathematics and statistics, and a background in engineering or a related quantitative field. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, along with relevant certifications, is often required. Attention to detail, problem-solving ability, and effective communication help you interpret data and translate findings for technical and non-technical stakeholders. These skills are crucial for transforming complex engineering data into actionable insights that drive process improvements and innovation.

What are some common challenges faced by engineering data analysts when working with cross-functional teams?

Engineering Data Analysts often collaborate with teams such as software engineers, project managers, and product designers. A common challenge is bridging the gap between complex analytical findings and actionable insights for non-technical colleagues. Clear communication and the ability to translate data into practical recommendations are essential. Additionally, managing multiple priorities and ensuring data integrity across various sources can be demanding but is crucial for successful project outcomes.
Infographic showing various Engineering Data Analyst job openings in Alberta as of September 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution.

Senior Data Scientist

Calgary, AB โ€ข Remote

Targeted Talent
Recruiting and Staffing Servicesย โ€ขย 11 - 50 employees

Full-time

Re-posted 9 days ago


Job description

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

  • 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)
  • Strong analytical skills working with unstructured data sets
  • Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
  • Strong experience with big data services like Spark, Kafka, Rabbit
  • Experience working with Startups are considered a bonus
  • Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

  • Remote + flexible work schedule
  • North of six figures salary + Equity + Health Spending Account (it's competitive)
  • Amazing opportunity for career progression to lead
  • Amazing mentorship (seriously)
  • Plenty of vacay
It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.


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About Targeted Talent

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Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA