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Data Analysis Jobs in New Brunswick (NOW HIRING)

Senior Architect - Data & AI

Moncton, NB ยท Hybrid

CA$115K - CA$160K/yr

Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation, and CI/CD. Experience designing on a modern lakehouse platform (Databricks preferred) using medallion ...

Data Steward / Policy Manager Level: Senior Lead Designation: N/A Location: Fort Belvoir, VA Role ... Leads teams conducting intelligence planning, collection, processing, analysis, and dissemination ...

Normalize and structure data for downstream analysis and dissemination * Support ETL processes and data transformation in classified environments * Ensure data integrity, availability, and security ...

... data modeling, statistical analysis, and predictive insights, with the ability to solve complex business challenges. * Advanced proficiency in data visualization and storytelling, with experience ...

... data modeling, statistical analysis, and predictive insights, with the ability to solve complex business challenges. * Advanced proficiency in data visualization and storytelling, with experience ...

... data modeling, statistical analysis, and predictive insights, with the ability to solve complex business challenges. * Advanced proficiency in data visualization and storytelling, with experience ...

Analytical mindset with proficiency in HRIS systems and data analysis. * Demonstrated success in developing and implementing HR strategies. * Experience in talent acquisition, performance management ...

Analytical mindset with proficiency in HRIS systems and data analysis. * Demonstrated success in developing and implementing HR strategies. * Experience in talent acquisition, performance management ...

Internal Auditor

Saint John, NB ยท On-site

CA$55K - CA$75K/yr

Ability to analyze data and identify trends, anomalies and areas requiring further investigation * Strong interpersonal skills and ability to work effectively within a team * Ability to manage ...

Internal Auditor

Saint John, NB ยท On-site

CA$55K - CA$75K/yr

Ability to analyze data and identify trends, anomalies and areas requiring further investigation * Strong interpersonal skills and ability to work effectively within a team * Ability to manage ...

Accounting Supervisor

Dieppe, NB ยท Hybrid

CA$33/hr

Proficient in Microsoft Excel , including advanced formulas, data analysis, and reporting tools * Skilled in Microsoft Outlook , Word , and Windows for effective communication and documentation

The qualified candidate must have an active TS/SCI security clearance and will architect scalable, secure data platforms that turn diverse mission data into analytics-ready assets for the ...

Develop relevant and timely reports on financial data & analytics like the monthly cash report, actual spend against budgets/outlook, and key financial metrics. * Contribute to the preparation of ...

Showing results 41-60

Data Analysis information

See New Brunswick salary details

$13

$26

$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.
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.

Maintenance Repair Analyst

Seaboard Transport Group

Moncton, NB โ€ข On-site

Full-time

Medical, Dental

Posted 21 days ago


Job description

Description

Role Overview: The Maintenance Repair Analyst plays a key role in strengthening fleet reliability, safety and performance for heavy-duty trucks and trailers. By connecting field expertise with fleet leadership, this role uses data analytics, diagnostics and engineering judgment to drive smarter maintenance decisions, reduce downtime, control repair costs and support strong regulatory compliance.

This is an opportunity to build a more proactive, insight-driven maintenance function within Fleet Management & Maintenance. The successful candidate will turn work orders, telematics, failure trends, technician insight and cost data into practical actions that improve asset uptime, support frontline teams and guide repair, maintenance and lifecycle decisions across tractors, trailers and heavy-duty fleet assets.

Location: Dartmouth, NS, Moncton, NB or North York, ON
Schedule: Monday - Friday| 8:00am - 5:00pm
Compensation: Will be discussed during the recruitment process and aligned with the scope of the role, operational requirements and candidate experience.
Benefits: Health & Dental, RRSP (employer matching), Work Perks program

Role Objectives

  • Reduce preventable breakdowns, roadside repairs, repeat repairs, and hours of unplanned equipment downtime.
  • Optimize preventative maintenance by asset class, age, duty cycle, condition, failure history and regulatory requirements.
  • Lower lifecycle cost through stronger repair-versus-replace decisions, warranty recovery and vendor performance management.
  • Improve maintenance data and reporting for operational, budgeting, equipment specification, and capital-planning decisions.
  • Strengthen inspection readiness, defect follow-up and maintenance-record compliance across the fleet.

Key Responsibilities

  • Field–management bridge: Translate shop-floor insights into clear business impacts and share feedback with fleet and maintenance management and across locations. 
  • Reliability analytics: Review work orders, telematics, diagnostics, inspection results and failure metrics to identify recurring component failures, including brakes, wheel ends, suspensions, driveline, electrical and emissions systems.
  • Diagnostics and root cause: Coordinate structured investigation of complex, repeat and high-impact failures using technician evidence, fault codes, service history and engineering judgment.
  • Preventative maintenance: Optimize preventative maintenance intervals, inspections and job plans using Original Equipment Manufacturer (OEM) guidance, regulation, asset age, duty cycle, condition and failure history.
  • Cost, warranty and vendors: Analyze maintenance spend versus replacement cost, maintenance cost per kilometer, improve warranty recovery, assess vendor performance and collaborate with parts teams on standards, inventory and sourcing opportunities.
  • Data, compliance and improvement: Inspection/out-of-service trends; safety-action closure; complete and timely work-order data; adherence to Nova Scotia commercial vehicle maintenance and trip inspection requirements and applicable Canadian safety standards.

Education & Experience

Required

  • Degree in Industrial Engineering or a relevant technical diploma in mechanical, heavy-equipment, reliability or fleet maintenance technology. Equivalent combinations of education, certification and practical fleet experience will be considered.
  • Three or more years working hands-on or in an analytical capacity with heavy-duty commercial vehicles, including trucks, tractors or trailers.
  • Strong knowledge of major vehicle and trailer systems and experience interpreting OEM diagnostics, fault codes, Engine Control Module (ECM) information, telematics and repair history.
  • Proficiency with fleet maintenance software such as Trimble TMT, Dossier or comparable systems, plus diagnostic tools, spreadsheets and BI reporting and data analytics tools.
  • Credibility with experienced technicians, clear communication with fleet leaders, sound judgment, ability to travel to terminals, and maintenance facilities.

Preferred experience

  • Red Seal Truck and Transport Mechanic certification is highly preferred, as it bridges theoretical engineering with practical shop reality; professional engineer, Certified Engineering Technologist/Technician, or comparable maintenance credential is an asset.
  • Experience with Trimble TMT, Dossier or a comparable platform, J1939/CAN data, OEM diagnostic tools, telematics and mobile inspection systems.
  • Power BI, SQL, Lean/Six Sigma, reliability-centred maintenance or structured failure-analysis capability.
  • Experience in a distributed mixed-make fleet and freight, petroleum, bulk, dangerous-goods or other high-compliance operations.

 What you bring 

  • Technical credibility: You can build trust with experienced technicians, maintenance leaders and operational teams by understanding the practical realities of heavy-duty fleet maintenance. 
  • Analytical judgment: You know how to turn maintenance data, diagnostics, work orders and failure trends into clear insights and practical recommendations.
  • Systems thinking: You can look beyond individual repairs to identify patterns, root causes and opportunities to improve fleet reliability, safety and cost performance.
  • Clear communication: You can explain technical findings in a straightforward way to both shop-floor and leadership audiences.
  • Collaboration: You enjoy working across maintenance, fleet operations, parts, vendors and leadership to solve problems and improve processes.
  • Continuous improvement mindset: You are motivated to make maintenance practices more proactive, consistent and data-driven.
  • Safety-first approach: You understand the importance of safe, compliant and reliable equipment in a high-performance fleet environment.
  • Professional integrity: You use sound judgment, accurate information and practical evidence to support decisions.