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Data Engineer Data Analyst Jobs in London, ON (NOW HIRING)

Data Analyst

London, ON ยท On-site

As a Data Analyst, you will play a key role in designing, developing, andmaintainingreporting solutions. You will derive valuable insights and be instrumental in enabling effective performance ...

Work closely with other technical roles (Data Management, Database Programming, Statistics, Enterprise Analyses, etc.) to drive data governance and excellence. * Assess ways to further leverage ...

The Senior Data Analyst will work with key business leaders to identify, develop and deliver relevant data, reports and dashboards to support day to day, historical and future operations. This role ...

Senior Data Engineer

London, ON

CA$100K - CA$120K/yr

Overview The Senior Data Engineer is responsible for the design, governance, and ongoing evolution ... ANALYTICS ENABLEMENT AND BUSINESS PARTNERSHIP * Develop and maintain trusted datasets that support ...

About the Team: Turo is looking for a Senior Data Analyst to join our Business Intelligence team. You will be the technical lead for our BI ecosystem, responsible for both the day-to-day ...

The ideal experience would be working with data models and enterprise data lake/warehouse initiativesbut a background in Software Engineering would also be useful. * Experience in data analysis, data ...

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Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in London, ON?

For Data Engineer Data Analyst jobs in London, ON, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in London, ON look for?

The top searched job categories for Data Engineer Data Analyst jobs in London, ON are:

What cities near London, ON are hiring for Data Engineer Data Analyst jobs?

Cities near London, ON with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in London, ON as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Full-time

Re-posted 6 days ago


Job description

VersaBankis an inclusive, entrepreneurial, Schedule 1 Chartered Bank with over$6.8 billionin assets andgrowing. As Canada's most innovative bank,VersaBankoperates as a branchless financial institution that obtains its deposits and provides most of its loans and leases electronically, with innovative deposit and lending solutions for financial intermediaries that allow them to excel in their core businesses.

VersaBank'sCommon Shares trade on the Toronto Stock Exchange ("TSX") and Nasdaq under the symbol VBNK. Our head office is in London, Ontario, with various officeslocatedacross Canada. For more information onVersaBank, please visit our website atwww.versabank.com.

We are looking for aData Analystto join our IT team. Thisis a full-time, in office role based in London, Ontario.

As a Data Analyst, you will play a key role in designing, developing, andmaintainingreporting solutions. You will derive valuable insights and be instrumental in enabling effective performance monitoring and decision making forVersaBankand the leadership team. You will also focus on improving efficiency, accelerating existing processes through automation, and fostering a data-driven culture across the Bank.

Leveraging your analytical experience, you will build andmaintaindatamodels, reports, and dashboards that bridge the gap between business requirements and technical implementations.

Primary responsibilities include:

  • Design, develop, andmaintaindata visualizations, interactivedashboards,and paginated reports.
  • Automate new and existing reporting processes.
  • Support business users with self-serve reporting needs, providing training when necessary.
  • Ensure data accuracy, integrity, and security by playing an active role in data governance through mapping, cataloging, and classifying data assets.
  • Participate in data warehouse design by suggesting schema changes and additions to support business requirements.
  • Assess and compare various reporting technologies by creating prototype solutions to analyze their functionality, effectiveness, and suitability.
  • Conduct query profiling, optimization, and execute ad-hoc queries as needed.
  • Work closely with stakeholders across the business to understand reporting and analysis requirements.
  • Keep up to date with current industry trends and emerging tools and technologies.

What we look for:

  • Bachelor's degree in business administration,statistics,computerscience, or related field.
  • 1-2years experiencewith relational databasesanddeveloping reportingsolutionsusing Power BI (preferred), Tableau,Looker, or similar analytics platformrequired.
  • Knowledge and experience using data warehouse concepts and principles including star schema designand semantic modeling.
  • Strong SQL skills and a solid understanding of query optimization and profiling tools and techniques.
  • Solidexperiencewith bothExcelandPower Query.
  • Experiencewith PowerAutomatean asset.
  • Experience with cloud-hosted data platforms such as Microsoft Fabric (preferred), Amazon Redshift, GoogleBigQuery,orSnowflakean asset.
  • Python skillsadefiniteasset.
  • Experience withGenAIand agentic AItoolsan asset.
  • Understanding ofdata governance tools (e.g., Microsoft Purview)anasset.
  • Strong communicationand interpersonal skills, with an ability to clearlypresentfindings and recommendations to both technical and non-technical audiences.
  • Excellent analytical, trouble-shooting, and problem-solving skills.
  • Exceptional attention to detail and a self-starter who is highly organized, and able to prioritize effectively.
  • Prior experience working in the banking or financial industry would be an asset.

What we offer:

  • A collaborative and team-focused work environment.
  • Competitive compensation package, including incentive opportunities and pension supplementprogram.
  • Comprehensive benefits program and fitness program designed to support your well-being.
  • Professional development and tuition reimbursement programs.

    Application Procedure:

    If working for a 'non-traditional' bank with an entrepreneurial flair appeals to you, we encourage you to apply.Please be advised that onlythose applicants selected for an interview will be contacted.


    AtVersaBank, we are committed to fostering a diverse, inclusive, andequitableworkplace. We encourage applications from individuals of all backgrounds, including persons with disabilities, Indigenous persons, members of visible minorities, women, LGBTQ+ individuals, and other underrepresented groups. We believe that diverse perspectives strengthen our organization, and we strive to create an environment where everyone has an equal opportunity to succeed. We also encourage candidates with different abilities, relevant alternativeexpertise, or experience who can perform the essential and critical functions of the job, with or withoutsupport(s). If accommodations arerequired, weare dedicated to providingthe necessary support to ensure full participation.VersaBankis an equal opportunity employer andcomplies withall applicable accessibility laws and regulations.