Fishery Data Analyst Job Description [Updated for 2025]

In the realm of marine conservation, the role of fishery data analysts has become increasingly crucial.

As our knowledge of marine ecosystems expands, so does the need for skilled individuals who can collect, analyze, and interpret complex fishery data.

But what is genuinely expected from a fishery data analyst?

Whether you are:

• A job seeker trying to understand the crux of this role,
• A hiring manager defining the perfect candidate,
• Or simply fascinated by the world of marine data analysis,

You’re in the right place.

Today, we present a customizable fishery data analyst job description template, crafted for effortless posting on job boards or career sites.

Let’s dive right into it.

Fishery Data Analyst Duties and Responsibilities

Fishery Data Analysts apply their knowledge of statistics, programming, and marine biology to collect, manage and interpret data related to fish populations and ecosystems.

This information is then used to make informed decisions and recommendations about sustainable fishing practices and conservation efforts.

Their duties and responsibilities include:

• Collecting and analyzing data from various sources such as fishing surveys, catch reports, and biological samples
• Developing and managing databases, data collection systems and other strategies that optimize statistical efficiency and quality
• Interpreting data and presenting findings in a clear and concise manner
• Creating data-driven models to predict fish populations and behaviors
• Collaborating with other scientists and stakeholders to understand data needs and determine data collection methods
• Assisting in the design and execution of research projects and surveys
• Providing recommendations for sustainable fishing practices and conservation efforts based on data analysis
• Keeping up to date with the latest developments and technologies in data analysis and fishery science
• Preparing detailed reports and presentations for various audiences including fishery managers, scientists, and policymakers

 

Fishery Data Analyst Job Description Template

Job Brief

We are seeking a detail-oriented Fishery Data Analyst to join our team.

The Fishery Data Analyst will be responsible for collecting, analyzing, and interpreting data related to fishery resources and operations.

They will use statistical techniques to analyze trends, patterns, and relationships in the data, as well as to prepare reports and present findings.

Our ideal candidate has a strong understanding of statistical analysis techniques and is familiar with marine and fisheries biology concepts.

 

Responsibilities

• Collect, compile and process fishery-related data from various sources
• Perform statistical analysis of data to identify trends, patterns, and relationships
• Prepare comprehensive reports based on data analysis
• Communicate findings to relevant stakeholders and team members
• Assist in the design and implementation of data collection protocols and systems
• Ensure data quality through validation, cleaning, and data integrity checks
• Contribute to the development of fisheries management plans based on data findings
• Stay informed on latest research and trends in fisheries science and data analysis

 

Qualifications

• Proven work experience as a Data Analyst or in a similar role
• Experience or knowledge in marine biology or fisheries science
• Proficiency in statistical analysis software (e.g. R, SPSS, SAS)
• Strong skills in data visualization and reporting
• Knowledge of data collection methods and database management
• Strong analytical and problem-solving skills
• BSc degree in Marine Biology, Statistics, Data Science or a related field

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Fishery Data Analyst
• Work Environment: Office setting with some field work. Travel may be required for field data collection and meetings.
• Reporting Structure: Reports to the Fishery Data Manager or Fishery Operations Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $55,000 minimum to $85,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Fishery Data Analyst Do?

Fishery Data Analysts work primarily in the field of marine biology or oceanography, often employed by government agencies, research institutions, and environmental consultancy firms.

Their main responsibility involves collecting, processing, and analyzing data related to fisheries.

This data may include species population trends, catch rates, environmental impacts, and socio-economic factors.

They utilize statistical analysis tools and software to interpret complex data sets, ensuring the accuracy and reliability of the findings.

They also develop predictive models to assess the impact of various factors on fish populations and habitats.

Fishery Data Analysts work closely with marine biologists, oceanographers, and policymakers to provide insights and recommendations based on their analysis.

These insights are crucial in managing fishery resources, setting sustainable fishing quotas, and informing conservation efforts.

They also contribute to scientific research, producing reports, research papers, and presentations to share their findings with the broader scientific community and the public.

In addition, Fishery Data Analysts may be involved in the design and implementation of data collection methods, including the use of cutting-edge technology and equipment.

 

Fishery Data Analyst Qualifications and Skills

A proficient Fishery Data Analyst should possess skills and qualifications that align with the unique demands of this field, such as:

• Strong statistical analysis skills to interpret complex data related to fish populations, behavior, and habitat.
• Knowledge of fishery science and marine biology to understand the context of the data they are working with.
• Proficiency in data analysis software, such as R or Python, for processing and interpreting data.
• Critical thinking skills to identify patterns and trends in data and make informed predictions about future conditions.
• Excellent communication skills to effectively report findings to fisheries managers, scientists, and policymakers.
• A meticulous attention to detail to ensure the accuracy and reliability of data analysis.
• Problem-solving skills to identify and address potential issues in data collection or analysis methodologies.
• Understanding of fisheries management practices and regulations to ensure data analysis aligns with legal and practical requirements.

 

Fishery Data Analyst Experience Requirements

To qualify for the role of a Fishery Data Analyst, candidates typically need to have a minimum of 2-3 years of experience in data analysis, specifically in the fisheries or related environmental science fields.

This experience can be acquired through full-time roles, internships or research assistant positions where they have gained proficiency in data collection, analysis, and interpretation related to fisheries management.

Candidates with 3-5 years of experience often have developed their skills in statistical modeling, data visualization, and use of relevant software like R, Python or SAS.

They might have also been involved in the management of large databases, reporting on fishery stock assessment, and participating in related projects.

Those with over 5 years of experience in the field are typically highly proficient in quantitative analysis and have a deep understanding of fisheries biology and marine ecology.

They likely have experience in advising on fisheries management decisions, developing and implementing data collection strategies, and leading research projects.

They may be ready for a managerial or team-lead position, overseeing other data analysts or a research team.

 

Fishery Data Analyst Education and Training Requirements

Fishery Data Analysts typically have a bachelor’s degree in Marine Biology, Oceanography, or another related field.

They also need to have a strong statistical background, with a sound understanding of data analysis software such as R, Python, SPSS, or SAS.

Fundamental knowledge of fisheries biology and marine ecosystems is also a requirement, as it helps in the interpretation and analysis of complex fisheries data.

Some positions may require a master’s degree in a specialized field such as Fisheries Science or Marine Resource Management, particularly for roles that involve strategic decision-making or policy development.

Candidates can further strengthen their profile by obtaining relevant certifications, like the Certified Fisheries Professional (CFP) offered by the American Fisheries Society.

Experience with Geographic Information Systems (GIS) and remote sensing technologies could also be advantageous, as these are often used in this field.

In addition to formal education, training in project management and communication skills would be beneficial as these analysts often need to present their findings and recommendations to a varied audience.

Continuous learning and staying updated with advancements in fisheries science, statistical methods, and data analysis tools is crucial for career progression in this field.

 

Fishery Data Analyst Salary Expectations

A Fishery Data Analyst can expect to earn an average salary of $63,468 (USD) per year.

The actual earnings may differ based on factors such as level of experience in the field, educational qualifications, the employing organization, and the geographical location.

 

Fishery Data Analyst Job Description FAQs

What skills does a Fishery Data Analyst need?

Fishery Data Analysts should possess strong mathematical and analytical skills to interpret complex data.

They should have a good understanding of data management systems and statistical analysis software.

Familiarity with fishery management practices and biology are also beneficial.

Good communication skills are important to translate complex data into understandable information for stakeholders.

 

Do Fishery Data Analysts need a degree?

Yes, a Fishery Data Analyst usually needs a degree in Fisheries Science, Marine Biology, Statistics, or a related field.

Postgraduate qualifications and experience with statistical software or fisheries-specific data tools can make a candidate more competitive for this role.

 

What should you look for in a Fishery Data Analyst resume?

A Fishery Data Analyst’s resume should highlight experience in data analysis, database management, and familiarity with fisheries’ management practices.

Proficiency in programming languages or statistical software such as SQL or R is highly advantageous.

Experience in presenting findings to stakeholders, publishing research, or participating in fieldwork may also be relevant.

 

What qualities make a good Fishery Data Analyst?

A good Fishery Data Analyst is detail-oriented and has a strong analytical mindset, enabling them to see patterns and trends in large data sets.

They should also have a genuine interest in fisheries management and conservation, which drives them to produce meaningful insights from data.

Good communication skills are also important as they will need to present their findings to different stakeholders, some of whom may not have a background in data analysis.

 

Is it difficult to hire a Fishery Data Analyst?

Recruiting a Fishery Data Analyst can be challenging due to the niche expertise required for the role.

The candidate must have a specific skillset that combines knowledge of data analysis, programming, and fisheries science.

However, offering competitive salaries, opportunities for fieldwork, and the chance to contribute to meaningful fisheries management projects can attract quality candidates.

 

Conclusion

And there you have it.

Today, we’ve delved beneath the surface of what it truly means to be a Fishery Data Analyst.

Surprised?

It’s not just about crunching numbers.

It’s about shaping sustainable practices and policies, one data point at a time.

With our definitive Fishery Data Analyst job description template and real-world examples, you’re primed and ready to cast your net.

But why stop there?

Go deeper with our job description generator. It’s your next wave towards meticulously curated listings or honing your resume to a razor-sharp edge.

Keep in mind:

Every piece of data is a part of a larger ecosystem.

Let’s navigate these waters. Together.

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