Top Data Jobs in Calgary

As a Principal Research Data Scientist at Coalition, responsible for measuring, understanding, and optimizing data usage for cyber insurance. Leading projects using quantitative analysis, creating risk signals, designing data models, and mentoring junior employees. Contributing to the culture of data excellence on the team.

Lead the design and implementation of reliable data pipelines, data storage solutions, data modeling, and integration technologies. Manage specific data pipelines, optimize data processes, identify improvements, automate data processes, and collaborate with teams to articulate data strategies. Promote best practices in data engineering, cloud infrastructure, networking, and security.

Looking for a Junior Data Analyst to manage, analyze, and clean data on a real-time basis, collaborate with team members, and perform ad-hoc data analysis primarily in Papua New Guinea for Enveritas. Responsibilities include leading data quality processes, coordinating field teams, conducting research, and supporting special projects.

Lead cross-functional projects using quantitative analysis and advanced data modeling to guide strategic decisions for security and underwriting business. Collaborate with teams to report on KPIs and metrics anomalies. Analyze disparate data sources and contribute to the culture of data excellence within the team.

As the Director of Analytics & Data, you will develop and implement a data and analytics strategy that aligns with the organization's goals. Responsibilities include leading a multidisciplinary team, translating data sources into business insights, implementing reporting solutions, overseeing data architectures, defining KPIs, managing relationships with vendors, and ensuring data quality.

The Data Implementation Analyst will lead data audits, develop data solutions, manage data projects, build data capabilities, analyze and report on data findings, and explore new data initiatives. This role is part-time remote with potential for full-time in the future.

Design, develop, and maintain big data platform using Scala, Spark, and other technologies within the Hadoop ecosystem. Strong foundation in data engineering and streaming data architectures required.

Seeking a Senior Data Engineer to design, implement, and maintain data pipelines for healthcare data. Responsibilities include ETL pipeline development, data governance, technical leadership, and troubleshooting. Qualifications include 5+ years of data engineering experience, proficiency in Python and SQL, and familiarity with data warehousing concepts and cloud platforms.

Responsible for developing algorithms, data modeling, and creating new data processing techniques. Apply data mining techniques, do statistical analysis, and build high-quality prediction systems.

Senior Data Analyst role at Coconut focusing on data analysis, data visualization, and driving business decisions through actionable insights. Lead complex projects, mentor colleagues, shape data strategy, and collaborate with stakeholders to transform raw data into compelling narratives. Utilize skills in analytics, statistics, and data modeling to provide mission-critical reporting and analysis.

Create and maintain patient records in the CRM, execute administrative tasks, ensure data integrity, liaise between team members, handle faxes, organize work schedule, label and attach documents, cover various shifts, perform ad hoc duties.

The Senior Data Engineer I at Pax8 designs, develops, tests, deploys, and maintains systems for data collection, transformation, storage, and management. They work on individual projects based on deadlines, collaborate with teams, and provide technical leadership in data system development. Responsibilities include building scalable data pipelines, mentoring junior engineers, and optimizing code quality. Ideal candidates have 4+ years of data engineering experience with expertise in Python, SQL, Apache Spark, Apache Kafka, and job orchestration tools.

Junior Data Analyst position at ChampionX in Calgary, Canada. Responsibilities include aircraft data analysis, customer reporting, data processing efficiency improvements, and communication within the scientific team. Minimum qualifications include a Bachelor's degree in a scientific discipline and familiarity with atmospheric sciences. Preferred qualifications include experience in the oil and gas industry and proficiency in Python.

Seeking a highly skilled Senior Big Data Engineer with expertise in developing batch processing systems using the Apache Hadoop ecosystem and working on Machine Learning pipelines. Responsible for developing scalable code, managing batch pipelines, and leveraging GCP for big data processing. Requires strong communication skills and ability to solve complex problems independently.

As a Marketing Data Analyst, you will analyze data to enhance marketing strategies and initiatives, develop reports, and provide insights to optimize marketing efforts. Responsibilities include data collection, reporting, campaign analysis, market research, customer segmentation, data quality management, and performance optimization.

Data Engineers at Credera work closely with Subject Matter Experts to design the ontology, develop data pipelines, and integrate Foundry with external systems. Responsibilities include project work with Palantir Foundry, Python expertise, machine learning, and collaboration with Product teams. Requirements include proficiency in Python, PySpark, SQL, AWS, Git, and agile working methodology.

Seeking a highly skilled Senior Data Scientist to lead data science and machine learning efforts, uncover valuable insights from product data, guide strategic decision-making, and contribute to the growth and success of the company.