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Assistant Data Management Jobs in Calgary, AB (NOW HIRING)

Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions * Assist in implementing change management and release management strategies ...

In this role, you will leverage your environmental data management, database, and Geographic ... Support development or maintenance of GIS-based tools and applications, and assist with integration ...

Validate system outputs against manual calculations and regulatory requirements * Assist in system testing, user acceptance testing (UAT), and ongoing optimization of digital tools Data Management ...

Responsible for team's career development and performance management. - Promotes healthy team ... assist in projects to increase current facility efficiency. - Utilize Microsoft Excel, Word ...

Wing Assistant is building the next generation of AI-enabled workforce solutions for growing ... Keep activity, notes, and pipeline data accurate and current in our CRM. Bring the Market Back In

SALES & APPLICATIONS SUPPORT (Weighting 40%) Lead Management * Assist in lead research and data collection. * Input and maintain lead data in CRM. * Track status of lead progress in the sales ...

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Assistant Data Management information

What is the difference between Assistant Data Management vs Data Analyst?

AspectAssistant Data ManagementData Analyst
Required SkillsData entry, database management, basic ExcelData analysis, statistical skills, data visualization
CertificationsBasic data management or office software certificationsData analysis certifications (e.g., Microsoft Excel, SQL)
Work EnvironmentAdministrative settings, data repositoriesBusiness, finance, marketing departments
Typical TasksMaintaining databases, data entry, data cleaningInterpreting data, creating reports, identifying trends

While Assistant Data Management focuses on maintaining and organizing data systems, Data Analysts interpret data to support decision-making. Both roles require familiarity with data tools, but Data Analysts typically have stronger analytical skills and perform more complex data interpretation.

What are some typical challenges faced by an Assistant Data Management professional, and how can they be overcome?

Assistant Data Management professionals often encounter challenges such as maintaining data accuracy across multiple systems, adhering to strict data privacy protocols, and managing large volumes of information under tight deadlines. These challenges can be addressed by developing strong attention to detail, staying organized with effective data tracking tools, and continuously updating knowledge about data compliance standards. Regular communication with team members and supervisors also helps in resolving discrepancies quickly and ensuring data integrity throughout projects.

What are the key skills and qualifications needed to thrive as an Assistant Data Management professional, and why are they important?

To thrive as an Assistant Data Management professional, you need a solid understanding of data entry, data validation, and organizational skills, often supported by a degree in information management or a related field. Familiarity with database management systems (such as SQL), Microsoft Excel, and data governance tools is typically required. Attention to detail, analytical thinking, and effective communication help ensure data accuracy and support collaboration with other teams. These skills are crucial for maintaining reliable data assets, supporting decision-making, and ensuring data integrity within an organization.

What does a data assistant do?

A data assistant supports data management tasks by collecting, organizing, and maintaining data sets. They often use tools like spreadsheets and databases, ensuring data accuracy and completeness, and may assist with data entry, validation, and reporting to support data analysis and decision-making.

Is 40 too old to become a data analyst?

Assistant Data Management professionals can transition into data analyst roles at any age, as the field values skills like data analysis, programming, and problem-solving, which can be developed through training and experience. Age is generally not a barrier if you acquire relevant certifications and stay current with tools like Excel, SQL, and data visualization software.

What are Assistant Data Management roles?

Assistant Data Management roles involve supporting the collection, organization, maintenance, and analysis of data within an organization. Individuals in these positions typically assist with data entry, data quality checks, managing databases, and generating basic reports. They work closely with data managers and analysts to ensure that data is accurate, up-to-date, and accessible for decision-making. Strong attention to detail and proficiency with data management software are important skills for these roles.

What does a data management assistant do?

A data management assistant supports the organization, entry, and maintenance of data within a company's database systems. They ensure data accuracy, assist with data cleaning, and may use tools like Excel or database software to help manage information efficiently.

Can I be a data analyst with no experience?

While some entry-level data analyst positions may accept candidates with limited or no experience, most require foundational skills in data analysis, such as proficiency in Excel, SQL, or statistical tools. Gaining relevant certifications or completing online courses can improve your chances of qualifying for such roles.
What are the most commonly searched types of Data Management jobs in Calgary, AB? The most popular types of Data Management jobs in Calgary, AB are:
What are popular job titles related to Assistant Data Management jobs in Calgary, AB? For Assistant Data Management jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Assistant Data Management jobs in Calgary, AB look for? The top searched job categories for Assistant Data Management jobs in Calgary, AB are:
L3 Data Management (GCP)

L3 Data Management (GCP)

TELUS

Calgary, AB • On-site, Remote

Other

Posted 13 days ago


TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

24th of 96 rated telecommunications companies


Job description

Description

Our team and what we'll accomplish together


Be a part of a transformational journey with us, where innovative talent meets cutting-edge technologies. At TELUS, the Data and AI Insights team is dedicated to making TELUS the most insights-driven company globally. We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal teams.

We are seeking a motivated and skilled Data Management Professional with hands-on experience in Google Cloud Platform (GCP) and BigQuery (BQ) to join our dynamic team. The ideal candidate will have a solid background in data engineering, BI solutions, and cloud-based data pipelines, with some exposure to CI/CD practices. In this role, you will collaborate with cross-functional teams to help implement and manage cloud-based data solutions while ensuring quality, compliance, and performance. You will also have the opportunity to grow your skills under the mentorship of senior team members.

What you'll do

  • Contribute to the design and implementation of cloud-based data solutions on Google Cloud Platform (GCP) and BigQuery to support business intelligence (BI) and data analytics requirements
  • Support the development and maintenance of ETL (Extract, Transform, Load) processes and integration workflows to ingest, process, and transform data from various sources
  • Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics models, and applications
  • Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions
  • Assist in implementing change management and release management strategies to support smooth deployments
  • Follow the established Software Development Lifecycle (SDLC) process for cloud-based projects, including requirements gathering, development, testing, and documentation
  • Help enforce data compliance practices to protect data assets and support regulatory compliance (e.g., SOX)
  • Develop and optimize data models and explores within the Looker platform under guidance from senior team members
Qualifications
  • 4-6 years of experience with SQL / PL SQL, Stored Procedures, BigQuery, and data pipeline development
  • 2-3 years of experience in cloud-based data engineering with a focus on Google Cloud Platform (GCP)
  • Experience with version control tools (e.g., Git, Bitbucket) and CI/CD concepts
  • Familiarity with dashboard and visualization tools such as Tableau, Looker, or Looker Studio
  • Experience with data pipeline tools (e.g., Dataflow) and building datasets for analytics
  • Understanding of DevOps and automation principles
  • Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams

Great-to-haves

  • Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent)
  • Exposure to IaC tools such as Terraform or Pulumi
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes)
  • Experience with Snowflake or Postgres SQL
  • Knowledge of security and compliance standards (e.g., SOX, GDPR) for cloud environments
  • Experience with Azure or AWS
  • Bachelor's degree in Computer Engineering, Computer Science, or a related field

Join our team and be part of a dynamic environment where your expertise will make a significant impact on our success.

#LI-Remote #LI-HYBRID 


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