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Data Engineer Data Analyst Jobs in Newfoundland and Labrador

The HR Analytics team, in collaboration with the BES Enterprise Analytics and HR Technology teams ... Support HR data governance and data management practices, ensuring the integrity, quality, privacy ...

... analysis software; * Mentor and Inspire: Lead and mentor engineering teams while fostering a ... Visit project sites to collect essential data, assess existing structures, and oversee project ...

CA$53K - CA$88K/yr

You have an undergraduate and/or post graduate degree in Business, Commerce, Retail Management or Data & Analytics with experience in retail in an analytical role, is an asset. New graduates are ...

... data analysis and digital tools. * Organized and capable of managing multiple priorities. * Motivated by solving problems and driving continuous improvement. Preferred Background: Engineering What we ...

... data analysis and digital tools. * Organized and capable of managing multiple priorities. * Motivated by solving problems and driving continuous improvement. Preferred Background: Engineering What we ...

Execute and analyze results from automated test cases, while documenting and reporting any defects ... Basic knowledge of database testing, including writing and executing SQL queries for data ...

Execute and analyze results from automated test cases, while documenting and reporting any defects ... Basic knowledge of database testing, including writing and executing SQL queries for data ...

... analyze results from automated test cases, while documenting and reporting any defects. • ... for data validation. • Experience performing ad-hoc manual testing to explore edge cases and ...

QC · On-site

Whether its wrangling Petabytes of data for cutting edge movie production, managing global content ... Ability to analyze information and evaluate results.

In addition to field work, the role also requires dedicated time in the office working closely with engineers and mine planning teams to review blast performance, analyze data, and identify ...

Showing results 21-40

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.
Infographic showing various Data Engineer Data Analyst job openings in Newfoundland and Labrador as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Manager, HR Analytics

KPMG

Saint John's, NL • On-site

Full-time

Posted 16 days ago


Key responsibilities

  • Lead the execution of KPMG's HR Analytics strategy, translating workforce data into actionable insights.

  • Partner with HR and business leaders to shape workforce questions, identify opportunities and risks, and influence strategic decisions through data and analytics.

  • Oversee the development of HR dashboards, analytics solutions, and data visualizations to ensure insights are relevant, accessible, and drive action.


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

The HR Digital Enablement & Analytics Centre of Excellence supports the transformation of how we deliver services. The HR Analytics team, in collaboration with the BES Enterprise Analytics and HR Technology teams, is responsible for providing proactive, scalable, and actionable talent-related insights that enable better talent decisions and stronger business outcomes.

The HR Digital Enablement & Analytics Centre of Excellence is part of KPMG’s National HR structure and plays a strategic role in strengthening HR’s analytics, automation, data storytelling, and data-driven decision-making capabilities.


What you will do
  • Lead the execution of KPMG's HR Analytics strategy, translating workforce data into actionable insights that enable evidence-based decision making and measurable business outcomes.
  • Partner with HR leaders and business leaders as a trusted advisor, shaping key workforce questions, identifying opportunities, risks, and influencing strategic decisions through data and analytics.
  • Deliver compelling workforce insights and executive reporting, connecting HR KPIs, trends, and predictive analytics to business impact, ROI, and future workforce needs.
  • Oversee the development of HR dashboards, analytics solutions, and data visualizations, ensuring insights are relevant, accessible, and drive action across the organization.
  • Support advanced analytics and predictive modeling, helping leaders anticipate workforce trends, inform talent strategies, and improve organizational outcomes.
  • Support HR data governance and data management practices, ensuring the integrity, quality, privacy, and responsible use of workforce data across systems and reporting platforms.
  • Collaborate with HR Technology, Enterprise Analytics, ITS, and business stakeholders to strengthen data ecosystems, integrate new data sources, and scale analytics capabilities.
  • Contribute to the evolution of the HR Analytics operating model, including governance, prioritization, adoption, capability development, and continuous improvement.
  • Implement innovative, scalable solutions that improve efficiency, accelerate insight generation, and advance HR's analytics maturity.
  • Lead, coach, and develop a high-performing HR Analytics team, building capability in analytics, storytelling, stakeholder advisory, data governance, and continuous improvement.

What you bring to the role
  • Bachelor's degree in Data Analytics, Statistics, Business Intelligence, Information Management, Mathematics, or a related field.
  • 7+ years of progressive experience in People Analytics, Workforce Analytics, Business Intelligence, or a related analytics discipline, including experience partnering with senior stakeholders and leading analytics initiatives.
  • PowerBI and SQL tool proficiency preferred.
  • Proven ability to translate complex workforce data into clear, actionable insights that influence strategic business decisions.
  • Strong expertise in analytics, data modeling, statistical analysis, and predictive insights, with the ability to solve complex business challenges.
  • Advanced proficiency in data visualization and storytelling, with experience creating impactful dashboards and executive-level presentations using tools such as Power BI.
  • Demonstrated experience working with large, complex datasets from multiple structured and unstructured sources, including strong SQL capabilities.
  • Exceptional stakeholder management and relationship-building skills, with the ability to influence and advise senior leaders, HR Leaders, and cross-functional teams.
  • Experience leading analytics teams, managing priorities, and coaching team members to deliver high-quality, business-focused outcomes.
  • Strong project management, problem-solving, and decision-making skills, with the ability to manage competing priorities in a fast-paced and evolving environment.
  • A mindset focused on continuous improvement, innovation, and operational excellence, with a passion for advancing data literacy and data-driven decision making.
  • Bilingualism (English/French) and experience working with HR systems and data are considered strong assets.

This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG. The successful candidate may be required to create, interpret and/or apply policies, practices, laws and and/or regulations during the regular course of their employment

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG NB Region Pay Range Information   

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • Bachelor's degree in Data Analytics, Statistics, Business Intelligence, Information Management, Mathematics, or a related field.
  • 7+ years of progressive experience in People Analytics, Workforce Analytics, Business Intelligence, or a related analytics discipline, including experience partnering with senior stakeholders and leading analytics initiatives.
  • PowerBI and SQL tool proficiency preferred.
  • Proven ability to translate complex workforce data into clear, actionable insights that influence strategic business decisions.
  • Strong expertise in analytics, data modeling, statistical analysis, and predictive insights, with the ability to solve complex business challenges.
  • Advanced proficiency in data visualization and storytelling, with experience creating impactful dashboards and executive-level presentations using tools such as Power BI.
  • Demonstrated experience working with large, complex datasets from multiple structured and unstructured sources, including strong SQL capabilities.
  • Exceptional stakeholder management and relationship-building skills, with the ability to influence and advise senior leaders, HR Leaders, and cross-functional teams.
  • Experience leading analytics teams, managing priorities, and coaching team members to deliver high-quality, business-focused outcomes.
  • Strong project management, problem-solving, and decision-making skills, with the ability to manage competing priorities in a fast-paced and evolving environment.
  • A mindset focused on continuous improvement, innovation, and operational excellence, with a passion for advancing data literacy and data-driven decision making.
  • Bilingualism (English/French) and experience working with HR systems and data are considered strong assets.

This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG. The successful candidate may be required to create, interpret and/or apply policies, practices, laws and and/or regulations during the regular course of their employment

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG NB Region Pay Range Information   

The expected base salary range for this position is $104,000-$156,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME