Data Analyst Salaries

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

Data Analyst

Senior

Median high-range salary for Senior Data Analyst jobs:

$150,000

This analysis is based on salary ranges collected from 25 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 $115,000 - $150,000

25% of job descriptions advertised a maximum salary above $175,000.
5% of job descriptions advertised a maximum salary above $210,000.

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 Data modeling, Python and Communication Skills. 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.

Data modeling
36% jobs mention Data modeling as a required skill. The Median Salary Range for these jobs is $120,000 - $170,000
- 25% of job descriptions advertised a maximum salary above $201,300.
- 5% of job descriptions advertised a maximum salary above $210,000.
Python
40% jobs mention Python as a required skill. The Median Salary Range for these jobs is $120,000 - $166,450
- 25% of job descriptions advertised a maximum salary above $179,000.
- 5% of job descriptions advertised a maximum salary above $210,000.
Communication Skills
20% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $107,000 - $164,000
- 25% of job descriptions advertised a maximum salary above $183,750.
- 5% of job descriptions advertised a maximum salary above $210,000.
Tableau
36% jobs mention Tableau as a required skill. The Median Salary Range for these jobs is $113,850 - $160,000
- 25% of job descriptions advertised a maximum salary above $183,750.
- 5% of job descriptions advertised a maximum salary above $210,000.
Analytical Skills
28% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $110,000 - $160,000
- 25% of job descriptions advertised a maximum salary above $172,250.
- 5% of job descriptions advertised a maximum salary above $210,000.
SQL
80% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $117,500 - $155,000
- 25% of job descriptions advertised a maximum salary above $172,500.
- 5% of job descriptions advertised a maximum salary above $210,000.
Data visualization
44% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $120,000 - $150,000
- 25% of job descriptions advertised a maximum salary above $193,550.
- 5% of job descriptions advertised a maximum salary above $210,000.
Data Analysis
72% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $120,000 - $147,500
- 25% of job descriptions advertised a maximum salary above $170,000.
- 5% of job descriptions advertised a maximum salary above $210,000.
Business Intelligence
28% jobs mention Business Intelligence as a required skill. The Median Salary Range for these jobs is $110,000 - $120,000
- 25% of job descriptions advertised a maximum salary above $142,500.
- 5% of job descriptions advertised a maximum salary above $210,000.
ETL
20% jobs mention ETL as a required skill. The Median Salary Range for these jobs is $100,000 - $120,000
- 25% of job descriptions advertised a maximum salary above $183,850.
- 5% of job descriptions advertised a maximum salary above $198,400.

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 B2B Marketing, Software Development and AI legal tech for private markets. 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.

B2B Marketing
4% jobs are in B2B Marketing industry. The Median Salary Range for these jobs is $160,000 - $210,000
Software Development
8% jobs are in Software Development industry. The Median Salary Range for these jobs is $139,250 - $199,800
- 25% of job descriptions advertised a maximum salary above $210,000.
AI legal tech for private markets
4% jobs are in AI legal tech for private markets industry. The Median Salary Range for these jobs is $141,700 - $198,400
Mental Health
8% jobs are in Mental Health industry. The Median Salary Range for these jobs is $132,575 - $170,950
- 25% of job descriptions advertised a maximum salary above $179,000.
Data Analytics
8% jobs are in Data Analytics industry. The Median Salary Range for these jobs is $120,000 - $146,500
- 25% of job descriptions advertised a maximum salary above $160,000.
B2B SaaS
4% jobs are in B2B SaaS industry. The Median Salary Range for these jobs is $125,000 - $145,000
E-Commerce
8% jobs are in E-Commerce industry. The Median Salary Range for these jobs is $110,000 - $122,500
- 25% of job descriptions advertised a maximum salary above $125,000.
Ad-Tech, Mobile Gaming
4% jobs are in Ad-Tech, Mobile Gaming industry. The Median Salary Range for these jobs is $100,000 - $120,000
Driver assistance services
4% jobs are in Driver assistance services industry. The Median Salary Range for these jobs is $70,000 - $110,000
IT Services
8% jobs are in IT Services industry. The Median Salary Range for these jobs is $100,000 - $105,000

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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🔥 Senior Data Analyst

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 126650.0 - 179000.0 USD per year

🔍 Mental Healthcare

🏢 Company: Headway👥 201-500💰 $125,000,000 Series C over 1 year agoMental Health Care

🔧 Requirements

6+ years of full-time experience using data to surfacing key insights and recommendations from data, solving real world problems, and supporting decision making within growth, product, revenue, or operations teams
4+ years of full-time experience at a high-growth technology startup
Proficient in SQL, developing and documenting data models, and experience managing a modern BI tool like Metabase or Looker

💡 Responsibilities

Become a trusted strategic partner to our operations and business teams (growth, revenue, and customer success), and work with them to define analytics requirements, identify important questions, and help answer them with data.
Support the operational needs of business stakeholders by delivering high-quality output from data modeling and reverse ETL.
Collaborate with Data and Product Analysts, Data Engineers, Data Scientists, and stakeholders across the company to model data in a scalable way and present it in an impactful and digestible way that leads to better business decisions.
Tell compelling stories through data, articulating technical information to a non-technical audience

Python SQL Data Analysis ETL Snowflake Data engineering REST API Data visualization Data modeling Data analytics

Posted 1 day ago

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🔥 Senior Data Analyst (AMER)

Posted 4 days ago

💸 118500.0 - 189600.0 USD per year

🔍 Software Development

🏢 Company: HubSpot👥 1001-5000💰 $35,000,000 Series E over 12 years ago🫂 Last layoff about 1 year agoSaaS Analytics Marketing Copywriting Social Media

🔧 Requirements

A minimum of 4 years of experience in a sales strategy role or equivalent level position.
Demonstrated expertise in analytical or modeling techniques using tools like Looker, Hex, or Google Suite.
Strong aptitude for defining key metrics and conducting analyses to derive actionable insights.
Exceptional communication and collaboration skills, with a proven track record of presenting to revenue-driven executives.
Strong capability to identify personal and professional growth opportunities and willingness to expand beyond baseline responsibilities.
Proficiency with MS Office Suite, Google Apps, Salesforce.com, and HubSpot CRM.
Proven SQL knowledge and experience.
Ability to thrive in a fast-paced, autonomous working environment.

💡 Responsibilities

Define, measure, and communicate the metrics of success and value-added by the new sales model.
Master the sales motion and process to become a trusted leader in the specifics of our sales techniques.
Provide expert consultation on quota planning and compensation, ensuring strategic cost efficiency.
Collaborate cross-functionally with sales, technical teams, product operations, and customer success, fostering a united approach.
Build and maintain deep relationships with sales partners and be capable of presenting strategies and outcomes to C-suite executives.
Exhibit autonomy and take ownership of projects; drive influence through innovation without needing step-by-step guidance.
Develop scalable strategies and practices that can be extended beyond AMER and to global teams.

Posted 4 days ago

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🔥 Senior Data Analyst

Posted 12 days ago

📍 United States

🧭 Full-Time

💸 113000.0 - 133000.0 USD per year

🔍 Data Analytics

🏢 Company: Storyblocks

🔧 Requirements

3+ years experience in analytics or data science
Advanced proficiency in SQL
Hands-on experience with dbt
Experience with data warehousing tools
Ability to engage non-technical stakeholders

💡 Responsibilities

Utilize dbt to build and maintain data models
Develop scalable data marts for self-service analytics
Collaborate with stakeholders to create actionable insights
Ensure data pipelines are optimized and monitor data quality
Create and maintain documentation of data models and processes

SQL Snowflake Data modeling

Posted 12 days ago

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🔥 Senior Data Analyst

Posted 13 days ago

📍 United States

🧭 Full-Time

💸 113850.0 - 126500.0 USD per year

🔍 Education Technology

🏢 Company: Code.org👥 101-250💰 Grant over 2 years agoEducation EdTech Chemical Engineering Non Profit STEM Education

🔧 Requirements

5+ years work experience in data analysis or analytics
Experience with analytics engineering and process improvement
Experience building and maintaining complex data pipelines in SQL
Experience leading quantitative analysis projects
Strong documentation and verbal communication skills

💡 Responsibilities

Own analytics projects from conception through execution
Build and improve the analytics layer in dbt
Identify trends and ask/answer questions about metrics
Work closely with end-user teams for data value

SQL Data Analysis Tableau Data modeling

Posted 13 days ago

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🔥 Senior Data Analyst

Posted 15 days ago

📍 United States

🧭 Full-Time

💸 120000.0 - 150000.0 USD per year

🔍 Retirement

🏢 Company: Human Interest👥 501-1000💰 $161,000,000 Private about 2 years agoWealth Management Retirement Finance InsurTech Employee Benefits Insurance FinTech

🔧 Requirements

Minimum of 5+ years of experience using data analytics and/or data science to create business value
Deep experience with SQL and navigating complex datasets
Hands-on experience with Python and pandas
Interest and some experience in data science Python libraries such as TensorFlow, PyTorch, XGBoost, LightGBM, SciPy, and Scikit-learn
Ability to convey complex analysis in a clear and engaging manner to non-technical stakeholders
Solid understanding of statistical analysis
BA/BS in a quantitative field, such as mathematics, statistics, engineering, or natural sciences

💡 Responsibilities

Create data products that empower business leaders to make informed decisions across various domains using data science and/or complex data analysis.
Collaborating with diverse teams, you'll independently identify opportunities where data can empower business stakeholders to define and achieve their goals. Your data prowess will pave the way for groundbreaking solutions.
Leveraging DBT, you'll build immaculate and reliable data models that lay the foundation for powerful data-driven initiatives.
As a mentor, you'll inspire and guide other data analysts in harnessing the potential of data analytics and data science to drive tangible business value. Your expertise will be pivotal in nurturing a data-driven culture.
When traditional reports and dashboards fall short, you'll step up to complete complex root cause analysis. Your skills will uncover insights that redefine our approach to challenges.
Your vision will help us become truly data-driven. You'll lead the charge in adopting data-centric strategies that elevate our performance to new heights.

AWS Python SQL Data Analysis Data science Pandas Data visualization Data modeling

Posted 15 days ago

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🔥 Senior Data Analyst

Posted 16 days ago

📍 US

🧭 Full-Time

💸 110000.0 - 120000.0 USD per year

🔍 Ecommerce

🏢 Company: Pirate Ship👥 51-100 Shipping E-Commerce Software

🔧 Requirements

5+ years of experience in reporting and analytics.
Experience with data and BI tools like, Tableau, and query languages like SQL and Python.
Some travel (domestic and international) may be required.

💡 Responsibilities

Create and maintain reports and models.
Create analysis necessary for decision making related to pricing, product, and client acquisition.
Monitor shipping industry developments and trends, determining the key implications for Pirate Ship.
Participate in the decision making process by providing analysis and recommendations.
Support analytic projects across Pirate Ship departments.
You’re comfortable in a remote environment where there’s lots of change.
You’re able to work from home and connect with your crewmates throughout the day over chat, voice, and video through company provided equipment. Quarterly in-person meetings at varied locations.
Share your experience, expertise and interest with the crew to enhance our fun and progressive culture.

Python SQL Business Intelligence Data Analysis Tableau Analytical Skills Microsoft Excel Reporting Data visualization Data modeling Data analytics

Posted 16 days ago

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🔥 Senior Data Analyst, Marketing

Posted 16 days ago

📍 United States

🧭 Full-Time

💸 160000.0 - 210000.0 USD per year

🔍 B2B Marketing

🏢 Company: Tremendous

🔧 Requirements

Extensive experience with B2B marketing analytics, including paid acquisition and attribution, and you are familiar with related tools.
Write sophisticated SQL with a preference for well-architected data models, optimized query performance, and documented code.
Proficient with at least one visualization & business intelligence platform (e.g., Tableau, Looker, Mode).
Strong verbal and communication skills.
You expedite projects forward, favoring rapid and incremental development in parallel with problem-solving short-term obstacles.
Employ a structured approach to handle ambiguous exploratory analysis, balancing thoroughness with the MVP mindset.
Use data to achieve ambitious goals and influence company-level outcomes.
Experience as a technical lead or manager is a plus.

💡 Responsibilities

Apply various analytics methods to gain insights into all aspects of marketing, including multi-touch attribution modeling, predictive lead scoring, paid media ROI analytics (MMM and iROAS) and full funnel pipeline reporting.
Consolidate diverse facts and findings into compelling narratives that can be applied across Tremendous.
Advocate for data-informed decisions by partnering with key stakeholders and senior leaders.
Identify and implement improvements within the Data team by standardizing processes, developing innovative practices, providing mentorship, and fostering new expertise.
Join a growing team of analysts and actively contribute to team collaboration and culture.

SQL Business Intelligence Data Analysis Tableau Communication Skills Analytical Skills Data visualization Marketing CRM Data modeling

Posted 16 days ago

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🔥 Senior Data Analyst

Posted 16 days ago

📍 United States

🧭 Full-Time

💸 160000.0 - 210000.0 USD per year

🔍 Software Development

🏢 Company: Tremendous

🔧 Requirements

Write sophisticated SQL with a preference for well-architected data models, optimized query performance, and documented code.
Proficient with at least one visualization & business intelligence platform (e.g., Tableau, Looker, Mode).
Strong verbal and communication skills. You can articulate why something should be built a certain way and how it will impact the business.
Use data to drive customer and product teams to achieve ambitious goals and influence company-level outcomes.
Experience as a technical lead or manager is a plus.

💡 Responsibilities

Apply various analytics methods to gain critical business insights
Consolidate diverse facts and findings into compelling narratives that can be applied across Tremendous.
Drive growth by collaborating with cross-functional teams
Advocate for data-informed decisions by partnering with key stakeholders and senior leaders.
Identify and implement improvements within the Data team by standardizing processes, developing innovative practices, providing mentorship, and fostering new expertise.
Join a growing team of analysts and actively contribute to team collaboration and culture.

Python SQL Data Analysis Tableau Data visualization Data modeling

Posted 16 days ago

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🔥 Sr. Data Analyst

Posted 16 days ago

🧭 Full-Time

💸 110000.0 - 125000.0 USD per year

🔍 E-commerce

🏢 Company: AG1

🔧 Requirements

Minimum of 5 years of experience in growth marketing analytics, data science, preferably in direct-to-consumer and e-commerce companies.
Experience with marketing analytics, attribution modeling, customer segmentation, and predictive modeling for growth and retention.
Expertise in SQL and proficiency in either Python (or R) for advanced data analysis and automation. Experience with dbt, Looker, or other modern analytics tools is a plus.
Familiarity with B2C acquisition and subscription marketing concepts and metrics, including customer journeys, conversion funnels and critical reporting (CAC, payback, retention rate, etc.).
Hands-on experience working with structured and unstructured data in cloud-based environments, including BigQuery, Snowflake, RedShift, etc.
Comfortable navigating large datasets, acquiring and cleansing data from multiple sources.
Demonstrates intellectual curiosity, a self-motivated approach to problem-solving, and a passion for continuous learning and improvement.
Advanced analytical skills with the ability to be a self starter and work independently.
Advanced data visualization skills and hands-on experience with Tableau
Familiarity with marketing, CRM, social and ad platforms, such as Salesforce, NetSuite CRM, Google Ads, Facebook, YouTube, Instagram, TikTok and others. Experience with partnership and affiliate marketing is a plus.
Exceptional communication and stakeholder management skills, with the ability to translate technical concepts into business-friendly insights.
Ability to collaborate with partners to document key business needs into a clearly defined requirements document and project plan.
Proven skills in distilling complex topics into easy to understand data visualizations. Advanced Tableau data visualization skills preferred.

💡 Responsibilities

Develop optimized SQL queries to aggregate and explore data from multiple datasets, identify opportunities and limitations within our data sets and deliver reliable and high quality analysis to drive strategic insights.
Translate complex data insights into compelling narratives that drive action across marketing and leadership teams.
Enable teams with self-service analytics by maintaining curated data sources and developing automated, scalable dashboards in Tableau, by applying intuitive data visualization and dashboard design best practices.
Own key projects and respond to ad-hoc data requests from internal and external stakeholders. Define, calculate, and validate key performance metrics (KPIs), identifying automation opportunities and developing self-service analytics solutions.
Communicate with stakeholders on various projects to gather requirements, collect feedback and present deliverables to achieve expected outcomes.
Brainstorm creative solutions to exploratory projects built around ambiguity, including running analysis to identify problems, understand root cause of trends, provide actionable insights and recommend solutions.
Work collaboratively and cross functionally with other members of the data team to support testing/experimentation, data modeling, data visualization, data science/machine learning, etc.
Collaborate with data scientists to leverage A/B testing and incrementality analysis to measure marketing effectiveness and optimize campaign performance.
Work closely with data engineering teams to define and refine data pipelines, ensuring scalable and reliable marketing data infrastructure.

Posted 16 days ago

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🔥 Senior Data Analyst

Posted 18 days ago

💸 115000.0 - 175000.0 USD per year

🔍 SaaS or technology company

🔧 Requirements

5+ years of experience in data analysis or a related field.
Proficiency in SQL and experience with data visualization tools.
Strong analytical skills with experience in statistical analysis and predictive modeling.
Experience working with large datasets and data warehousing solutions.
Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.

💡 Responsibilities

Analyze large, complex datasets to identify trends, patterns, and insights that inform business strategies.
Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) across the organization.
Collaborate with cross-functional teams to understand their data needs and provide actionable insights.
Design, refine, and implement data collection processes to ensure data accuracy and integrity.
Mentor team members to promote best practices in data analysis and visualization.

Posted 18 days ago

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Shown 10 out of 27

Data Analyst Salaries

Median high-range salary for Senior Data Analyst jobs:

Skills and Salary

Data modeling

Python

Communication Skills

Tableau

Analytical Skills

SQL

Data visualization

Data Analysis

Business Intelligence

ETL

Industries and Salary

B2B Marketing

Software Development

AI legal tech for private markets

Mental Health

Data Analytics

B2B SaaS

E-Commerce

Ad-Tech, Mobile Gaming

Driver assistance services

IT Services

Jobs