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A R Analyst Jobs in Burnaby, BC (NOW HIRING)

Ubc

Research Associate

Vancouver, BC · On-site

CA$6.3K/mo

Proficiency in R and/or Python for computational biology and bioinformatics analyses. Strong ... Experience working collaboratively in a multidisciplinary biomedical research environment.

NumerixS Quant

Quantitative Developer

Vancouver, BC · On-site

$80 - $120/hr

We are a data-driven company with a collegial atmosphere looking for team members who can do great ... Analyze 'dirty' data sets to identify possible investment signals * Take charge of your own ...

Emmes

Sr. Biostatistician - Remote Canada

Vancouver, BC · On-site +1

... a full-service CRO , and Veridix AI, our technology, data, and analytical solutions -we are ... Required * 1-3 years Strong programming skills in SAS and/or R. Required * Excellent communication ...

Ubc

Research Associate

Vancouver, BC

CA$6.3K/mo

We are seeking a Research Associate with expertise in Electroencephalogram (EEG) analysis, signal ... Proficiency in programming languages such as Python, R, and MATLAB is essential. Experience working ...

STRIVE Recruitment

Senior Accountant

Surrey, BC · On-site

$80K - $95K/yr

... R&D. * Support production planning by analysing customer demand, inventory levels and production requirements. * Contribute to process improvements and support the implementation of a future ERP ...

KPMG

Data Support Senior Consultant

Vancouver, BC

Work with audit engagement teams to scope D&A capabilities, review analytic results and deliver ... Proficiency and knowledgeable with analytics and visualization tools such as Power BI, Python, R ...

Amd

Physical Design Engineer

Vancouver, BC · Hybrid

You are passionate about modern processor architectures and bring a collaborative, analytical, and ... Study block microarchitecture and data flow to determine optimal memory placement & Synthesis/P&R ...

VRIFY

Senior Geologist

Vancouver, BC · On-site +1

Exposure to data analysis software (e.g., Python, R) is a plus. 3D geological modeling platforms such as LeapFrog or Geoscientist Analyst. * Collaborative/Communication Skills: Ability to work ...

Vancity

Senior Economist

Vancouver, BC

CA$96K - CA$125K/yr

We are looking for a highly analytical and intellectually curious professional who can combine ... Proficiency with statistical and data analysis tools (e.g., R, Python, Stata, or similar) * Strong ...

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All JobsA R Analyst JobsA R Analyst Jobs in Burnaby, BC

A R Analyst information

What is an A R analyst?

An A R Analyst, or Accounts Receivable Analyst, is a financial professional responsible for managing and analyzing a company's incoming payments and outstanding invoices. They ensure that clients pay their bills on time, monitor accounts for discrepancies, and may communicate with customers to resolve payment issues. Their role is crucial for maintaining healthy cash flow and accurate financial records within an organization.

What are the key skills and qualifications needed to thrive as an accounts receivable (A/R) analyst, and why are they important?

To thrive as an Accounts Receivable Analyst, you need a solid grasp of accounting principles, data analysis, and financial reporting, typically supported by a degree in finance, accounting, or a related field. Familiarity with ERP systems (like SAP or Oracle), Microsoft Excel, and financial management software is commonly required. Strong attention to detail, problem-solving skills, and effective communication help A/R Analysts resolve discrepancies and collaborate with clients and internal teams. These abilities are vital to ensure accurate cash flow management, minimize bad debt, and support financial health within an organization.

What are some common challenges an accounts receivable (A/R) analyst faces, and how can they address them?

A/R Analysts often encounter challenges such as delayed payments from clients, discrepancies in invoices, and managing large volumes of transactions. To address these issues, effective communication with clients and internal teams is essential, as is a strong attention to detail when reconciling accounts. Utilizing up-to-date accounting software and following up promptly on overdue accounts can also help improve cash flow and minimize errors. Collaborating closely with sales and customer service teams ensures that any disputes or misunderstandings are resolved efficiently, supporting overall financial health.

What is the difference between A R Analyst vs Accounts Payable Specialist?

AspectA R AnalystAccounts Payable Specialist
Primary RoleManages accounts receivable, processes customer payments, and ensures timely collectionHandles vendor invoices, processes payments, and manages outgoing bills
Required SkillsFinancial analysis, data entry, communication skillsAttention to detail, invoice processing, accounting software proficiency
CertificationsGenerally CPA or accounting certifications beneficialOften requires basic accounting or bookkeeping certifications
Work EnvironmentOffice setting, finance or accounting departmentsOffice setting, finance or accounting departments

Both A R Analysts and Accounts Payable Specialists work within finance departments, but their focus differs. A R Analysts primarily manage incoming payments and customer accounts, while Accounts Payable Specialists handle outgoing payments to vendors. Understanding these distinctions helps in choosing the right career path or job search focus.

Is an A R analyst a good job?

An Accounts Receivable (A R) analyst is a financial role focused on managing incoming payments and maintaining accurate financial records. It typically requires strong attention to detail, proficiency with accounting software, and good communication skills. The job can offer stable employment and opportunities for advancement in finance or accounting departments.
A R Analyst jobs near you
Infographic showing various A R Analyst job openings in Burnaby, BC as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution.

Research Associate

Ubc

Vancouver, BC • On-site

CA$6.3K/mo

Full-time

Re-posted yesterday

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Job description

AcademicJob CategoryFaculty Non BargainingJob TitleResearch AssociateDepartmentDepartment of Ophthalmology | Faculty of Medicine | Provost and VP Academic (Neeru Gupta)Posting End DateAugust 20, 2026

Note: Applications will be accepted until 11:59 PM on the Posting End Date.


Job End DateAugust 23, 2028

The expected pay (or pay range) for this position is $6,344/month.

Job Description


The Dr. Gupta Laboratory in the Department of Ophthalmology and Visual Sciences at the

University of British Columbia is seeking a full-time (100% FTE) Research Associate

(Computational Biology and Translational Bioinformatics) to support an innovative translational

research program investigating the molecular mechanisms underlying ocular and

neurodegenerative diseases. The successful candidate will bring expertise in computational

biology and bioinformatics to a multidisciplinary research team, applying advanced

computational approaches to integrate multi-omics and imaging datasets, identify candidate

disease mechanisms, therapeutic targets, and biomarkers, and support studies spanning ocular

biology, neuroscience, and translational medicine. Working closely with laboratory scientists, the

successful candidate will integrate computational analyses with experimental research and

contribute to scientific publications, the preparation of competitive grant applications, and the

advancement of the laboratory's research program.


Responsibilities


Design, implement, and manage computational biology and translational bioinformatics

analyses supporting multidisciplinary research projects.

Analyze, integrate, and interpret genomic, transcriptomic, proteomic, lipidomic, spatial

multi-omics, imaging, and other high-dimensional biological datasets.

Identify candidate molecular pathways, disease mechanisms, therapeutic targets, and

biomarkers through integrative computational analyses.

Develop reproducible computational workflows and data visualization tools to support

biological interpretation and hypothesis generation.

Integrate computational analyses with molecular, cellular, and immunological studies in

collaboration with laboratory scientists.

Develop and/or adapt machine learning and artificial intelligence approaches for the

analysis of spatial and multispectral imaging datasets, including transcriptomic,

proteomic, and lipidomic data derived from tissue specimens and cell culture models.

Prepare figures, reports, manuscripts, and presentations for scientific publications, grant

applications, and research meetings.

Contribute to the preparation of competitive grant applications and research

documentation.

Provide technical expertise, mentorship, and training in computational biology and

bioinformatics to trainees and laboratory personnel.

Work collaboratively with multidisciplinary research teams and external collaborators.

Perform other related duties as required.


Supervision Received


Works independently under the direction of Dr. Neeru Gupta.


Supervision Given


May provide mentorship and technical guidance to undergraduate and graduate students,

research assistants, and other laboratory trainees


Qualifications:


Successful applicants will have:

PhD in Computational Biology, Bioinformatics, Genomics, Systems Biology, Computer

Science, Biomedical Engineering, Molecular Biology, or a related discipline, with a

minimum of three years of relevant postdoctoral or equivalent research experience, or an

equivalent combination of education, training, and experience.

Demonstrated experience analyzing genomic, transcriptomic, proteomic, lipidomic, or

other high-dimensional biological datasets, including next-generation sequencing data.

Proficiency in R and/or Python for computational biology and bioinformatics analyses.

Strong background in statistical analysis, data integration, and scientific data visualization.

Experience developing reproducible computational workflows and managing large-scale

biological datasets.

Experience working collaboratively in a multidisciplinary biomedical research

environment.

Excellent written and verbal communication skills, with demonstrated contributions to

peer-reviewed scientific publications.

Knowledge of molecular biology, cell biology, immunology, neuroscience, or ophthalmic

research is considered an asset. Experience with single-cell genomics, spatial

transcriptomics, spatial proteomics, multi-omics integration, machine learning, artificial

intelligence, or drug discovery and development in the pharmaceutical or biotechnology

industry is considered an asset.

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