... Data Science, Engineering, Product and several other teams. We are looking for a data analyst who ... shares our passion for helping make apps and products reliable and safe. The right candidate will ...
... Data Science, Engineering, Product and several other teams. We are looking for a data analyst who ... shares our passion for helping make apps and products reliable and safe. The right candidate will ...
... Data Science, Engineering, Product and several other teams. We are looking for a data analyst who ... shares our passion for helping make apps and products reliable and safe. The right candidate will ...
... Data Science, Engineering, Product and several other teams. We are looking for a data analyst who ... shares our passion for helping make apps and products reliable and safe. The right candidate will ...
The core responsibilities for this role include exploring analytics and marketing data to answer client questions, collaborating with the Data Science team to perform quantitative analyses, and ...
The core responsibilities for this role include exploring analytics and marketing data to answer client questions, collaborating with the Data Science team to perform quantitative analyses, and ...
Data Analyst
Denver, CO · Remote
$80K - $100K/yr
We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.
Data Analyst
Denver, CO · Remote
$80K - $100K/yr
We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.
Sports Data Analyst
San Francisco, CA · On-site +1
Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity ...
Sports Data Analyst
San Francisco, CA · On-site +1
Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity ...
Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...
Quick apply
Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...
Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity ...
Quick apply
Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity ...
Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...
Quick apply
Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...
Data Analyst Assistant
American Fork, UT · On-site
$20 - $22/hr
Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs. * Utilize Python for data analysis, employing libraries such as pandas, plotly, and ...
Data Analyst Assistant
American Fork, UT · On-site
$20 - $22/hr
Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs. * Utilize Python for data analysis, employing libraries such as pandas, plotly, and ...
Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...
Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...
Data Analyst
Dallas, TX · On-site
Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...
Data Analyst
Dallas, TX · On-site
Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...
Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...
Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...
Data Analyst Assistant
$20 - $22/hr
Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs. * Utilize Python for data analysis, employing libraries such as pandas, plotly, and ...
Data Analyst Assistant
$20 - $22/hr
Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs. * Utilize Python for data analysis, employing libraries such as pandas, plotly, and ...
Sr. Data Analyst (Sales)
Manhattan, NY · On-site +1
$94K - $119K/yr
Masters degree in Business, Business Analytics, Computer Science, Data Science or a related field preferred * Experience: 5+ years as a data analyst with experience in sales analytics, commercial ...
Sr. Data Analyst (Sales)
Manhattan, NY · On-site +1
$94K - $119K/yr
Masters degree in Business, Business Analytics, Computer Science, Data Science or a related field preferred * Experience: 5+ years as a data analyst with experience in sales analytics, commercial ...
Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ...
Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ...
Data Analyst
Huntsville, AL · On-site
Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ...
Data Analyst
Huntsville, AL · On-site
Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ...
Data Analyst
Huntsville, AL · On-site
Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ...
Data Analyst
Huntsville, AL · On-site
Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Secret What You Will Do: Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering ...
Protocol Data Analyst I
Washington, DC · On-site
... scientific data following established SOPs. • Code trials using the NCI Thesaurus terminology for disease/condition, intervention, biomarker, and anatomic site data elements. • Process and ...
Protocol Data Analyst I
Washington, DC · On-site
... scientific data following established SOPs. • Code trials using the NCI Thesaurus terminology for disease/condition, intervention, biomarker, and anatomic site data elements. • Process and ...
Senior Data Analyst
Cranbury, NJ · On-site
$100K - $120K/yr
At MJH Life Sciences our success is measured by your success! If you set your standards high and ... The Senior Data Analyst will mentor junior analysts, collaborate with cross-functional teams, and ...
Senior Data Analyst
Cranbury, NJ · On-site
$100K - $120K/yr
At MJH Life Sciences our success is measured by your success! If you set your standards high and ... The Senior Data Analyst will mentor junior analysts, collaborate with cross-functional teams, and ...
Senior Data Analyst
$77K - $97K/yr
SWIVEL is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ...
Senior Data Analyst
$77K - $97K/yr
SWIVEL is seeking a talented individual to work with Data Scientist, Data Engineers, and BI ... The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ...
Scientific Data Analyst information
See salary details
$34K - $43.3K
4% of jobs
$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
$34K
$82.6K
$136K
How much do scientific data analyst jobs pay per year?
As of Jul 17, 2026, the average yearly pay for scientific data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
How does a Scientific Data Analyst typically collaborate with research teams and subject matter experts?
Scientific Data Analysts frequently work alongside researchers, lab technicians, and subject matter experts to interpret complex data sets and extract actionable insights. Collaboration often involves participating in project meetings to understand experimental goals, sharing preliminary analyses, and refining data collection or processing methods based on feedback. Strong communication skills are essential, as analysts must translate statistical findings into clear, meaningful recommendations for non-technical stakeholders. This teamwork ensures that data-driven decisions are closely aligned with scientific objectives and enhances the overall quality of research outcomes.
What is the 80 20 rule in data science?
In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Scientific Data Analysts often focus on identifying the most impactful data subsets or features to optimize analysis and decision-making processes.
What are the key skills and qualifications needed to thrive as a Scientific Data Analyst, and why are they important?
To thrive as a Scientific Data Analyst, you need a background in statistics, data science, and scientific research, usually supported by a degree in a quantitative field. Proficiency with statistical software (such as R, Python, or SAS), data visualization tools, and experience with databases are commonly required, along with knowledge of industry-specific data standards. Strong analytical thinking, attention to detail, and effective communication skills help convey complex findings to non-technical stakeholders. These skills and qualities ensure accurate data interpretation, reliable research outcomes, and meaningful contributions to scientific projects.
What is a scientific data analyst?
A scientific data analyst is a professional who collects, processes, and interprets complex data sets related to scientific research. They often use statistical tools, programming languages like Python or R, and data visualization software to support scientific investigations and decision-making.
Is 40 too late for data science?
A Scientific Data Analyst can start a career in data science at any age, including 40, as the field values skills in programming, statistics, and data visualization. Many professionals transition into data science later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.
What jobs pay $500,000 a year?
In the field of scientific data analysis, high salaries reaching $500,000 or more are typically associated with senior roles such as lead data scientists or chief data officers, especially in large corporations or tech companies. These positions often require advanced skills in machine learning, statistical modeling, and extensive experience, along with leadership responsibilities. Compensation at this level may include base salary, bonuses, and stock options.
What are scientific data analysts?
Scientific data analysts are professionals who collect, process, and interpret large sets of scientific data to help researchers, organizations, or institutions make data-driven decisions. They often use statistical tools, programming languages, and data visualization techniques to analyze complex datasets from experiments or studies. Their insights support scientific research, improve processes, and enable more accurate results in fields such as biology, chemistry, environmental science, and healthcare.
More about Scientific Data Analyst jobs
What cities are hiring for Scientific Data Analyst jobs? Cities with the most Scientific Data Analyst job openings:
What states have the most Scientific Data Analyst jobs? States with the most job openings for Scientific Data Analyst jobs include:
What job categories do people searching Scientific Data Analyst jobs look for? The top searched job categories for Scientific Data Analyst jobs are:
Full-time
Re-posted 4 days ago
Job description
Job Description: Data Analyst
Location : Remote
Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help improve the health of our products and work with cross-functional partners to ensure a high-quality experience on our platforms. You will gain experience and make an impact in a fast-growing organization. Those who join our teams are very passionate about solving people's issues, and are strong advocates for users globally. If you like helping people, Product Operations is for you.
The Product Operations team ensures that the suite of apps are as reliable as possible by working closely with Global Operations, Data Science, Engineering, Product and several other teams.
We are looking for a data analyst who shares our passion for helping make apps and products reliable and safe. The right candidate will be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization.
Responsibilities
Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities
Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks
Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding
Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g.through identification of data & tooling requirements enabling self-service / scalable solutions
Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards
Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis
Minimum Qualifications:
Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience.
4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
Proficiency with intermediate to advanced SQL concepts for data extraction.
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience creating dashboards with Tableau, PowerBi, Alteryx and other data visualization tools.
Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
Experience with communicating and presenting findings to non-technical stakeholders.
Preferred Qualifications:
Advanced technical degree or graduate degree in statistics, marketing, or related fields.
Experience measuring the performance of AI models
Experience with ETL pipeline development.
Location : Remote
Product Operations' focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help improve the health of our products and work with cross-functional partners to ensure a high-quality experience on our platforms. You will gain experience and make an impact in a fast-growing organization. Those who join our teams are very passionate about solving people's issues, and are strong advocates for users globally. If you like helping people, Product Operations is for you.
The Product Operations team ensures that the suite of apps are as reliable as possible by working closely with Global Operations, Data Science, Engineering, Product and several other teams.
We are looking for a data analyst who shares our passion for helping make apps and products reliable and safe. The right candidate will be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization.
Responsibilities
Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities
Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks
Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding
Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g.through identification of data & tooling requirements enabling self-service / scalable solutions
Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards
Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis
Minimum Qualifications:
Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience.
4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
Proficiency with intermediate to advanced SQL concepts for data extraction.
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience creating dashboards with Tableau, PowerBi, Alteryx and other data visualization tools.
Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
Experience with communicating and presenting findings to non-technical stakeholders.
Preferred Qualifications:
Advanced technical degree or graduate degree in statistics, marketing, or related fields.
Experience measuring the performance of AI models
Experience with ETL pipeline development.