Data Analyst Salaries

Discover salary ranges for remote data analyst positions. Compare compensation data and make informed career decisions.

Data Analyst

Middle

Median high-range salary for Middle Data Analyst jobs:

$101,000

This analysis is based on salary ranges collected from 12 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $76,000 - $101,000

25% of job descriptions advertised a maximum salary above $129,580.
5% of job descriptions advertised a maximum salary above $159,500.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Tableau, Communication Skills and Business Intelligence. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Tableau
25% jobs mention Tableau as a required skill. The Median Salary Range for these jobs is $120,000 - $155,000
- 25% of job descriptions advertised a maximum salary above $158,750.
- 5% of job descriptions advertised a maximum salary above $160,000.
Communication Skills
17% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $115,000 - $150,000
- 25% of job descriptions advertised a maximum salary above $160,000.
Business Intelligence
25% jobs mention Business Intelligence as a required skill. The Median Salary Range for these jobs is $90,000 - $140,000
- 25% of job descriptions advertised a maximum salary above $151,250.
- 5% of job descriptions advertised a maximum salary above $155,000.
Collaboration
25% jobs mention Collaboration as a required skill. The Median Salary Range for these jobs is $97,000 - $140,000
- 25% of job descriptions advertised a maximum salary above $155,000.
- 5% of job descriptions advertised a maximum salary above $160,000.
Analytical Skills
17% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $106,000 - $132,500
- 25% of job descriptions advertised a maximum salary above $160,000.
Data science
17% jobs mention Data science as a required skill. The Median Salary Range for these jobs is $118,500 - $128,500
- 25% of job descriptions advertised a maximum salary above $160,000.
Python
42% jobs mention Python as a required skill. The Median Salary Range for these jobs is $97,000 - $105,000
- 25% of job descriptions advertised a maximum salary above $156,250.
- 5% of job descriptions advertised a maximum salary above $160,000.
Data Analysis
67% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $71,000 - $97,500
- 25% of job descriptions advertised a maximum salary above $137,080.
- 5% of job descriptions advertised a maximum salary above $160,000.
SQL
75% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $72,000 - $97,000
- 25% of job descriptions advertised a maximum salary above $128,120.
- 5% of job descriptions advertised a maximum salary above $160,000.
Data visualization
58% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $70,000 - $90,000
- 25% of job descriptions advertised a maximum salary above $115,620.
- 5% of job descriptions advertised a maximum salary above $160,000.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include AI and machine learning, Payments and Retirement and financial services. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

AI and machine learning
8% jobs are in AI and machine learning industry. The Median Salary Range for these jobs is $140,000 - $160,000
Payments
8% jobs are in Payments industry. The Median Salary Range for these jobs is $120,000 - $155,000
Retirement and financial services
8% jobs are in Retirement and financial services industry. The Median Salary Range for these jobs is $85,000 - $115,000
Criminal Justice
8% jobs are in Criminal Justice industry. The Median Salary Range for these jobs is $97,000 - $97,000
Healthcare
25% jobs are in Healthcare industry. The Median Salary Range for these jobs is $80,000 - $90,000
- 25% of job descriptions advertised a maximum salary above $127,500.
- 5% of job descriptions advertised a maximum salary above $140,000.
Intelligent automation
8% jobs are in Intelligent automation industry. The Median Salary Range for these jobs is $70,000 - $90,000
Public sector solutions, health, education, human services
8% jobs are in Public sector solutions, health, education, human services industry. The Median Salary Range for these jobs is $59,000 - $70,000
Remote Employment Services
8% jobs are in Remote Employment Services industry. The Median Salary Range for these jobs is $35,350 - $59,650

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 People Data Analyst

Posted 8 days ago

📍 Eastern Europe

🧭 Full-Time

💸 35350.0 - 59650.0 USD per year

🔍 Remote Employment Services

🏢 Company: Remote👥 1001-5000💰 $300,000,000 Series C over 2 years ago🫂 Last layoff over 2 years agoHuman Resources Services

Experience in people analytics or business intelligence with an HR focus.
Curiosity to investigate hypotheses and develop insights.
Understanding of people metrics including engagement and performance.
Ability to analyze complex data and present insights.
Strong data tool skills, including Sigma and visualization capabilities.
Attention to detail and passion for data integrity.
Excellent communication skills for presenting to non-technical stakeholders.
Creative problem-solving to identify reporting gaps.
Ability to thrive in a fast-paced environment.
Fluency in written and spoken English.

Analyze people data to identify trends and inform decisions.
Design, build, and maintain an integrated People Data dashboard.
Identify opportunities to automate processes through data insights.
Consolidate and clean data for actionable insights.
Partner with People leadership to translate business needs into data-driven solutions.
Shape talent strategies with reports on key metrics.
Support initiatives that improve employee engagement and retention.
Advocate for data best practices across the People function.

SQL Business Intelligence Data Analysis Data visualization PowerPoint

Posted 8 days ago

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🔥 SQL Data Analyst (Customer Success)

Posted 9 days ago

📍 United States

💸 66200.0 - 119160.0 USD per year

🏢 Company: Eventbrite, Inc.

Minimum 3 years experience with SQL.
Experience with Excel and Tableau (or equivalent software).
Familiarity with integrity operations and customer success metrics.
Proven analytical and quantitative skills.
Ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.

Translate both strategic and tactical questions into analytics requirements.
Collect and analyze data using SQL and organize findings to drive action.
Deliver recurring analysis and insights across the Customer Organization.
Develop scalable reporting and dashboards to monitor leading and lagging indicators.
Identify opportunities to improve process, efficiency, profitability, and productivity.
Assist in setting targets for new initiatives and tracking ongoing progress.

SQL Data Analysis Tableau Data visualization

Posted 9 days ago

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🔥 VBC Healthcare Data Analyst

Posted 12 days ago

📍 United States

💸 80000.0 - 90000.0 USD per year

🔍 Healthcare

🏢 Company: Vatica Health👥 251-500💰 $1,229,000 about 11 years agoInformation Technology Health Care

3-5 years' experience in value-based care analytics, preferably in risk adjustment.
Strong proficiency with data sets, Microsoft Excel, PowerPoint, and other Microsoft Suite applications (MS Access).
Understanding of relational databases and experience with database tools.
Familiarity with Azure, Power BI or similar applications, SQL, R, PySpark, and Azure Synapse preferred.
Ability to analyze and interpret complex business-related data sets.
Direct experience with risk adjustment (CMS HCC) metrics.
Experience pulling data from disparate platforms for unified business insights.
Experience in Salesforce.com CRM preferred.
Excellent multitasking and prioritization skills.

Gather, interpret, and use internal and public data to inform actions for corporate growth.
Convert data to business intelligence and present effectively.
Engage in provider value-based care interactions with prospects and existing clients.
Refresh and distribute core analytics for meetings and workgroups.
Contribute to data-driven client solution design and development.
Analyze public value-based care data to support performance.
Complete geo mapping to identify prospective clients.
Evaluate member overlap between organizations as needed.
Prepare and initiate Campaign load data for Salesforce.

SQL Data Analysis Microsoft Access Microsoft Power BI Salesforce Azure Microsoft Excel Data visualization

Posted 12 days ago

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🔥 Data Analyst

Posted 13 days ago

📍 US

🧭 Full-Time

💸 72000.0 - 105000.0 USD per year

🏢 Company: IMA Financial Group👥 1001-5000💰 Private about 4 years agoFinancial Services Wealth Management Risk Management Insurance

Bachelor’s Degree required; preferred in a business or quantitative field.
2-4 years of full-time data analysis experience.
Demonstrated analytical skills to extract, manipulate, analyze, and communicate data.
Critical thinking and problem-solving skills.
Strong learning agility to identify and learn relevant tools and technologies quickly.
Advanced Excel and intermediate to advanced SQL skills.
Experience in Python or R with the ability to write complex queries.
Ability to manage smaller projects from ideation to execution.
Strong communication skills to assess needs with users.

Perform moderately complex analyses using various data sources to provide insights.
Transform data into reports, dashboards, analytical applications, and presentations.
Execute standard and ad hoc analytic projects utilizing SQL, R, Python, or Power BI.
Convert business requirements into actionable reports and analytic content.
Analyze and interpret data with statistical techniques.
Generate presentations using data visualizations.
Explain analytical findings to non-technical colleagues.
Liaison with stakeholders to identify and prioritize analytic initiatives.

Python SQL Data Analysis Analytical Skills Data visualization

Posted 13 days ago

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🔥 Data Analyst

Posted 20 days ago

📍 United States

🧭 Full-Time

💸 70000.0 - 80000.0 USD per year

🔍 Healthcare

🏢 Company: Lumata Health👥 11-50💰 $5,500,000 Series A 11 months agoMedical Information Technology Health Care

Bachelor’s degree in Data Analytics, Health Informatics, Business Analytics, or a related field.
2 - 3 years experience as a Data Analyst in the healthcare sector, focusing on care processes and/or business operations.
Understanding of basic healthcare codes (CPT, ICD-10, HCPCS) is required.
Proficiency in data analysis tools (e.g., SQL, Advanced Excel).
Proficiency in EDA and visualization software (e.g., Power BI, Looker, Quicksight).
Strong understanding of healthcare metrics, operational assessments, and process improvement methodologies.
Knowledge of healthcare data privacy standards, such as HIPAA.
Strong verbal and written communication skills.
Experience with AWS services and EHR data is a plus.
Experience with Salesforce schemas is a plus.
Experience with Python is preferred.

Analyze healthcare data to evaluate care management operations, identifying areas for improvement and optimizing workflows.
Develop and maintain interactive dashboards and reports that visualize operational performance metrics and key performance indicators (KPIs).
Collaborate with a variety of stakeholders to gather requirements and define relevant metrics for evaluating care and business operations.
Complete analysis projects, including assembling datasets, cleaning, EDA, and interpretation, ensuring data accuracy and integrity.
Communicate insights and findings effectively to both technical and non-technical audiences, fostering a culture of data-driven decision-making.

Python SQL Data Analysis Data visualization

Posted 20 days ago

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🔥 Data Analyst

Posted 20 days ago

📍 United Kingdom

🧭 Full-Time

💸 42000.0 - 50000.0 GBP per year

🔍 SaaS

🏢 Company: Vable👥 11-50💰 $1,000,000 Seed over 8 years agoInternet SaaS Information Technology Software

A Bachelor’s Degree in Data Analytics, Statistics, Computer Science, or a related field.
Minimum of 4 years experience in a data analysis or similar role, preferably within a fast-paced SaaS or technology environment.
Proficiency in data analysis tools and languages, such as Python, R or similar for advanced data manipulation and analysis.
Understanding of the data pipeline, with familiarity with ETL processes.
Familiarity with statistical analysis techniques e.g., regression, hypothesis testing.
Experience working with large datasets and deriving actionable insights.
Proficient in Lucene query syntax for querying and analyzing data in OpenSearch.
Strong SQL skills for working with AWS Quicksight to create reports and visualizations.
Advanced Excel capabilities for quick data manipulation and supplementary analysis.
Experience working with Google Analytics for user behavior tracking and performance metrics.
Familiarity with Hotjar for heatmaps and user interaction insights.
Ability to define and monitor product KPIs and OKRs.
Effective communication and interpersonal skills to work collaboratively and present findings.

Collect, clean, and analyze data from various sources to identify trends and insights.
Collaborate with departments, including Sales, Marketing, Product, Engineering, and Client Success, to understand their data needs and provide tailored insights.
Provide statistical analysis to validate experiment results and recommend next steps.
Ensure data integrity by regularly auditing and maintaining data cleanliness within systems like CRMs and marketing platforms.
Partner with the Client Success team to identify and track key metrics driving client satisfaction and retention.
Develop models to predict churn and identify at-risk users.
Provide training and tools for teams to access and utilize data effectively.
Build and maintain dashboards for real-time monitoring of these metrics.
Interpret data and generate actionable recommendations for the team.
Analyze client behavior to understand engagement patterns, activation rates, and drop-off points.

Python SQL ETL Google Analytics Data visualization

Posted 20 days ago

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🔥 People Data Analyst

Posted 28 days ago

📍 United States

💸 70000.0 - 90000.0 USD per year

🔍 Intelligent automation

🏢 Company: ABBYY👥 1001-5000💰 over 3 years agoCommunications Infrastructure Analytics Data Visualization Software

4+ years experience in operations measurement and analytics functions.
Extensive data and analytical expertise with knowledge of industry best practices.
Strong Excel skills and analytical abilities for large datasets.
Experience with standard data analytics and visualization tools.
Knowledge of HRIS systems, especially HiBob.

Collect, analyze, and interpret data to enhance people programs and processes.
Design and create reports and dashboards tracking key performance indicators.
Collaborate with the People Team to develop data-driven solutions for employee experience.
Identify trends and inform strategic initiatives through data analysis.
Support workforce planning by analyzing historical data for trends.

SQL Data Analysis Reporting Data visualization

Posted 28 days ago

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🔥 Data Analyst

Posted about 1 month ago

📍 United States

🧭 Full-Time

💸 97000 USD per year

🔍 Criminal Justice

🏢 Company: Recidiviz👥 51-100💰 Seed about 3 years agoCloud Data Services Legal Tech Non Profit CivicTech Analytics Software Engineering Information Technology Legal Software

3 or more years of professional experience exploring, analyzing, and processing complex datasets.
Strong communication and collaboration skills.
Enthusiasm for working with diverse internal and external partners.
Ability to inspect source data and prepare usable analyses.
Professional experience using SQL for large datasets and writing efficient queries.
High familiarity with Python, particularly the Pandas package.

Exploring our datasets to find new insights about American criminal justice systems.
Contextualizing and communicating key findings to internal and external stakeholders.
Collaborating with State Engagement and Implementation Engineering teams to execute targeted roadmaps.
Working with Product Management, Data Science, and Software Engineering teams to bring analyses into production.

Python SQL Product Management Data science Pandas Collaboration Attention to detail

Posted about 1 month ago

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🔥 Data Analyst II

Posted about 1 month ago

🧭 Full-Time

💸 85000.0 - 115000.0 USD per year

🔍 Retirement and financial services

A desire to give stakeholders a clean, easy, and useful experience with data.
Minimum 2+ years of experience working in analytics or data science in product, operations, or marketing-specific roles.
BA/BS in behavioral science (economics, psychology, etc.) or a quantitative field such as mathematics, statistics, engineering, or natural sciences.
Ability to work across the company to solve business problems with data & analytics.
Expert-level SQL skills.
Experience with BI tools.
Solid understanding of statistical analysis.
Desire to help people better utilize data.

Architect and implement a data-driven strategy that meets the needs of key business areas.
Build and maintain data models in DBT.
Work with business partners to identify key metrics for their product or vertical.
Work with engineers and product managers to set data-tracking requirements.
Provide guidance, reports, and dashboards to track and move metrics.
Automate manual work by improving reporting and automating workflows.
Suggest changes based on understanding of product area.
Leverage quantitative techniques to provide insights beyond dashboards.

Posted about 1 month ago

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🔥 Pharmacy Business-Data Analyst

Posted about 1 month ago

📍 US

💸 90000 - 140000 USD per year

🔍 Healthcare

🏢 Company: EPIC Brokers

Minimum 3 years of related experience in data analytics, preferably in a healthcare environment.
Strong knowledge of PBM contracting, including guarantees, exclusions, definitions, and custom drug lists.
Knowledge of pharmacy claim file layouts and structure.
Client-facing presentation experience required.
Technical documentation experience for healthcare software solutions.
Strong proficiency in relational databases.
Proven coding ability using statistical tools and intermediate proficiency with business intelligence tools.
Strong problem-solving skills to analyze and resolve complex technical issues.
Excellent written and verbal communication skills, plus multitasking and project prioritization abilities.
Bachelor’s degree in Analytics/Informatics, Business, Economics, Mathematics, Statistics, or Financial Discipline, or equivalent work experience.

Acts as a trusted advisor to external clients in implementing Artemetrx solutions.
Works closely with product resources (consultants, developers, QA, product and project managers) to ensure accurate and timely data implementation.
Gathers data requirements and obtains client approval on implementations.
Coordinates with vendors to gather necessary data file layouts and test files.
Provides progress reports to stakeholders for data implementations.

Business Intelligence QA Communication Skills Collaboration Documentation Data analytics

Posted about 1 month ago

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Shown 10 out of 14

Data Analyst Salaries

Median high-range salary for Middle Data Analyst jobs:

Skills and Salary

Tableau

Communication Skills

Business Intelligence

Collaboration

Analytical Skills

Data science

Python

Data Analysis

SQL

Data visualization

Industries and Salary

AI and machine learning

Payments

Retirement and financial services

Criminal Justice

Healthcare

Intelligent automation

Public sector solutions, health, education, human services

Remote Employment Services

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