Job title: Fisheries Data Analyst

Posted: March 3, 2023

Closing: April 1, 2023

Job summary

Nature Analytics is a team of fisheries practitioners passionate about data-driven science and science communication. We focus on solution-generating science with application to real-world problems in fishery management. Headquartered in Mississauga, Canada, we work globally with marine and freshwater fisheries in the Bahamas, Hawaii, Canada, Peru, French Polynesia, and beyond. Our team has a wealth of knowledge in ecology, fisheries modeling, and science communication that we bring together to meet the ever-growing challenges that our clients face.  

We are seeking a Fisheries Data Analyst to join our multidisciplinary consultant team. The candidate will play a central role in application of statistical methods, software tools, and programming for decision-support in ecology and fisheries management. We are seeking a candidate who is a creative problem solver, is innovative, and is self-motivated. This position requires excellent skills in time management and multitasking as it pertains to delivery of work products.

We are an organization united by the belief that a sustainable future is possible and includes equitable solutions for fishers, coastal communities, indigenous peoples, and historically disenfranchised groups. We succeed through collaboration, inclusivity, learning and mutual empowerment, and are looking for team members who align with and contribute to this professional environment. Our entire team works remotely, and we encourage employees to allocate their weekly time commitments in a manner that best suits their work-life balance and their own work schedule preferences.


Responsibilities and duties

A Fisheries Data Analyst will interpret data and conduct quantitative analysis to inform fisheries decision-making. Responsibilities include application of statistical methods, software tools, and programming to clean and manipulate data, create visualizations and materials for scientific communication, and apply numerical models. Appointees are expected work collaboratively, and to have demonstrated success in completing client projects, and exhibit practitioner-level knowledge of statistics, scientific computing, and algorithms to produce data-driven insights. Appointees are expected to contribute to the design of client projects, including scoping and creating Statements of Work (SOWs) and for new and existing customers. They are given latitude and are expected to be creative and nimble in completing client projects. They can be assigned Project Lead role based on experience and aptitude.

Required qualifications:

  • Bachelor’s in computer science, data science, or related field. Applicants with Bachelor’s in biological sciences or related field with proven expertise in R programming will also be considered.
  • Confident written and verbal communication skills in English, including demonstrated ability for technical report preparation
  • Fluency in R programming and experience with scientific computing and algorithms to produce data-driven insights.
  • Experience in application of statistical methods, data wrangling and tidy coding, and numerical modeling

  • Interest in sustainable fisheries, natural resource management, or marine & freshwater conservation

Preferred qualifications

  • Graduate degree in computer science, data science, biological sciences, or related discipline.

  • Knowledge of fisheries, fishery ecology, or other environmental discipline

  • Experience with front-end coding in R Shiny for applications and dashboards

  • Practitioner-level knowledge of key fundamentals of UI/UX, data visualization, and audience engagement through interactive web applications.

  • Knowledge of CSS, html, JavaScript, and Leaflet, cloud-based repositories, and database management

  • Ability to lead project management responsibilities, including supporting clients with on-going technical challenges

  • Ability to develop a network of domestic and/or international clients

Compensation and work hours

Base salary: Full-time 37.5 hours per week. Salary commensurate with experience. One year contract with possibility of extension. Position is remote work for the duration of the contract. Flexible work schedule.

Training reimbursement: You will receive an annual training budget of $2,500 CAD to pursue career development and training activities. Five paid days per year to attend conferences, workshops, or training.

How to apply?


Please send resume and cover letter via email to:  

Dr. Bill Harford, President

Nature Analytics  

551 Lakeshore Road East, Suite 105, 

Mississauga, Ontario, L5G 0A8