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Data Analysis Jobs in Newfoundland and Labrador (NOW HIRING)

Visual Data Analysis role has the knowledge and skills to turn raw data into information and insight, which can be used to make business decisions. * They scrutinize the collected data to recognize ...

Sensor Data analyst role shall use tools to analyze the data streamed or collected from the robot sensors that provide Photographs, LIDAR, IR, thermal, gas detection, acoustic and other sensor ...

Collaboratively identify and analyze best practices from other offshore oil and gas jurisdictions. * Architect, design and implement a pilot demonstration of a data management network. * Document and ...

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

Posted today

Data Analysis: Monitor and analyze data to recommend services and solutions, interpret data for client representatives to optimize services * Quality Assurance: Maintain equipment in safe working ...

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, Digital Literacy Additional Job Details Address: 236 MAIN RD:HEART'S CONTENT City: Heart'S Content Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: PERSONAL ...

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Data Analysis information

See Newfoundland and Labrador salary details

$13

$27

$50

How much do data analysis jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data analysis in Newfoundland and Labrador is $27.12, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $32.93 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 Newfoundland and Labrador as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $56,407 per year, or $27.1 per hour.

Visual data analysis

Wood Plc

Saint John's, NL โ€ข On-site

Full-time

Re-posted 9 days ago


Job description

Overview / Responsibilities

Wood is looking for a Visual Data Analysis to join their team in St. John's , Newfoundland to support an exciting new project aimed at reducing carbon emissions and enhancing safety through the use of autonomous robotics.ย 

  • Visual Data Analysis role has the knowledge and skills to turn raw data into information and insight, which can be used to make business decisions.
  • They scrutinize the collected data to recognize and identify patterns using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
  • Preparing reports for the client stating trends, patterns, and predictions using relevant data.
  • Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
  • Preparing final analysis reports, creation of dashboards, for the stakeholders to understand the data-analysis, enabling them to take important decisions based on various facts and trends.
Skills / Qualifications
  • String physics background is required.
  • Experience with Linux, Windows and python scripting.
  • Experience with thermal imaging and methane detection would be helpful.
  • BSc/MSc in Physics, Math, Engineering or related discipline.
  • Good oral and written communication skills.
  • Ability to work in a multi-disciplinary team.
Company Overview

Wood is a global leader in engineering and consultancy across energy and the built environment, helping to unlock solutions to some of the world's most critical challenges. We provide consulting, projects and operations solutions in more than 60 countries, employing around 40,000 people. www.woodplc.com

Diversity Statement (EEO)

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

Employment Type: OTHER