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Data Analysis Jobs in New Brunswick (NOW HIRING)

J.D. Irving

Data Modeler

Saint John, NB

As our Data Modeler, you'll be instrumental in creating and maintaining models that empower our business operations and analytics. Your data models will ensure accurate, reliable, and scalable data ...

J.D. Irving

Data Modeler

Saint John, NB

As our Data Modeler, you'll be instrumental in creating and maintaining models that empower our business operations and analytics. Your data models will ensure accurate, reliable, and scalable data ...

Cooke Aquaculture Inc.

Data Engineer

Saint John, NB · On-site

Collaborate with business analysts, architects, and application teams to understand and deliver against data requirements. * Automate data ingestion and integration processes to improve performance ...

Cooke Aquaculture Inc.

Data Engineer

Saint John, NB · On-site

Collaborate with business analysts, architects, and application teams to understand and deliver against data requirements. * Automate data ingestion and integration processes to improve performance ...

Lifeworks

Pension Analyst

Fredericton, NB · On-site +1

CA$39K - CA$74K/yr

Work with pension databases to ensure data accuracy * Attend internal training sessions to stay ... Strong analytical and mathematical skills * A strong client service focus with exceptional ...

Lifeworks

Pension Analyst

Fredericton, NB · On-site +1

Work with pension databases to ensure data accuracy * Attend internal training sessions to stay ... Strong analytical and mathematical skills * A strong client service focus with exceptional ...

KPMG

Evaluation and Measurement Analyst

Moncton, NB · On-site

Data Collection & Analysis * Collect and validate data from multiple sources (e.g., LMS, surveys, assessments) * Analyze quantitative and qualitative data to identify trends, gaps, and improvement ...

KPMG

Evaluation and Measurement Analyst

Fredericton, NB · On-site

Data Collection & Analysis * Collect and validate data from multiple sources (e.g., LMS, surveys, assessments) * Analyze quantitative and qualitative data to identify trends, gaps, and improvement ...

Bay Ferries Limited

Data Solutions Manager

Saint John, NB · On-site

$82K - $92K/yr

Manage vendor relationships, SaaS licensing, and service delivery expectations Data, Reporting & Analytics * Own the requirements, vendor relationship, and ongoing governance of a centralized data ...

J.D. Irving

Senior Analytics Lead

Moncton, NB · Hybrid

Proficiency in SQL for data analysis, querying, and validation. Experience designing, developing, and implementing reporting and analytics solutions, with Power BI experience preferred. Assets ...

J.D. Irving

Senior Analytics Lead

Dieppe, NB · Hybrid

Proficiency in SQL for data analysis, querying, and validation. Experience designing, developing, and implementing reporting and analytics solutions, with Power BI experience preferred. Assets ...

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All JobsData Analysis JobsData Analysis Jobs in New Brunswick

Data Analysis information

See New Brunswick salary details

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$49

How much do data analysis jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analysis in New Brunswick is $26.49, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $32.17 per hour, depending on experience, location, and employer.

What is data analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves using statistical and logical techniques to interpret raw data and identify patterns or trends. Data analysts often use specialized software and tools to visualize and report their findings, helping organizations make data-driven decisions.

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

To thrive as a Data Analyst, you need strong statistical knowledge, data manipulation skills, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst. Critical thinking, attention to detail, and clear communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for extracting meaningful patterns from data, driving business decisions, and ensuring data-driven strategies.

What are some common challenges data analysts face when working with cross-functional teams?

Data analysts often collaborate with cross-functional teams such as marketing, engineering, and finance, which can present challenges in aligning on goals and ensuring clear communication. Differences in technical expertise and priorities may require analysts to translate complex data findings into actionable insights for non-technical stakeholders. Building strong relationships and proactively clarifying project objectives can help overcome these challenges and lead to more impactful analysis.

What is the difference between Data Analysis vs Data Analysis?

AspectData AnalysisData Analysis
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQL, or TableauBachelor's degree in related field, certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentOffice settings, remote work, data-driven teamsOffice settings, remote work, data-driven teams
Industry UsageFinance, marketing, healthcare, techFinance, marketing, healthcare, tech
Common Search/ComparisonData AnalysisData Analysis

Data Analysis involves examining data sets to uncover trends and insights, often using tools like Excel, SQL, or Tableau. It is a fundamental role across industries such as finance, healthcare, and marketing. The term is broad and often used interchangeably with related roles, but it primarily focuses on interpreting data to support decision-making.

What does a data analysis do?

A data analyst collects, processes, and interprets large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to present findings clearly and accurately. Strong analytical skills and attention to detail are essential for this role.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and data visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of job is a data analyst?

A data analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail. The role typically involves interpreting large datasets and presenting findings to stakeholders.
Data Analysis jobs near you
Infographic showing various Data Analysis job openings in New Brunswick as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $55,095 per year, or $26.5 per hour.

Data Modeler

J.D. Irving

Saint John, NB

Full-time

Re-posted 5 days ago

Job description

As our Data Modeler, you'll be instrumental in creating and maintaining models that empower our business operations and analytics. Your data models will ensure accurate, reliable, and scalable data access, enabling self-service reporting and trusted metrics across various business units. 

This key position will collaborate closely with stakeholders, translating their data needs into effective business models and help support driving data-driven decision-making throughout the organization.

  • Bachelor's degree in Computer Science, Information Systems, or a related field, with a focus on data modeling and database design.
  • 3-5 years of experience in data modeling, with a proven track record of creating effective and scalable data models.
  • Proficiency in data modeling techniques and tools, including ERD, UML, and advanced data modeling software.
  • Strong understanding of relational databases and SQL, with the ability to write complex queries and optimize database performance.
  • Experience with big data technologies and distributed systems is highly advantageous.
  • Excellent analytical and problem-solving skills, with a track record of delivering innovative data solutions.
  • Exceptional communication skills, enabling you to explain complex data concepts to both technical and non-technical audiences.
  • Attention to detail and a commitment to data accuracy and quality are essential.
  • Experience with data governance frameworks and practices is desirable, ensuring data integrity and compliance.
  • A willingness to learn and adapt to new technologies and industry trends, staying at the forefront of data modeling advancements.
  • Design and govern enterprise semantic data models, ensuring a unified and reliable data foundation for analytics.
  • Create scalable data models to facilitate self-service reporting and trusted metrics across business units.
  • Collaborate with stakeholders to understand their data requirements and translate them into efficient data models.
  • Maintain data integrity and consistency across diverse data sources and systems.
  • Document and update data model specifications, ensuring accessibility and transparency.
  • Apply data modeling best practices, including normalization, denormalization, and data partitioning.
  • Optimize data storage and retrieval processes in collaboration with data engineers and analysts.
  • Conduct regular data model reviews, identifying areas for improvement and enhancement.
  • Stay abreast of industry trends and emerging technologies in data modeling and analytics.
  • Provide support and guidance to other teams on data-related queries, ensuring a smooth and efficient data environment.

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