Data Analysis Job Salaries

Find salary information for remote positions requiring Data Analysis skills. Make data-driven decisions about your career path.

Data Analysis

Median high-range salary for jobs requiring Data Analysis:

$150,215.62

This analysis is based on salary ranges collected from 1509 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 $115,040.73 - $150,215.62

25% of job descriptions advertised a maximum salary above $200,000.
5% of job descriptions advertised a maximum salary above $292,340.

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 Leadership, Cross-functional Team Leadership and Financial analysis. 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.

Leadership
29% jobs mention Leadership as a required skill. The Median Salary Range for these jobs is $140,000 - $180,000
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $326,119.
Cross-functional Team Leadership
25% jobs mention Cross-functional Team Leadership as a required skill. The Median Salary Range for these jobs is $138,270 - $180,000
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $322,000.
Financial analysis
16% jobs mention Financial analysis as a required skill. The Median Salary Range for these jobs is $120,000 - $164,833.33
- 25% of job descriptions advertised a maximum salary above $204,073.75.
- 5% of job descriptions advertised a maximum salary above $276,729.5.
SQL
28% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $120,000 - $160,000
- 25% of job descriptions advertised a maximum salary above $210,000.
- 5% of job descriptions advertised a maximum salary above $303,900.
Communication Skills
45% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $113,591.92 - $153,090.4
- 25% of job descriptions advertised a maximum salary above $200,000.
- 5% of job descriptions advertised a maximum salary above $301,485.
Project Management
36% jobs mention Project Management as a required skill. The Median Salary Range for these jobs is $115,000 - $153,032.86
- 25% of job descriptions advertised a maximum salary above $200,000.
- 5% of job descriptions advertised a maximum salary above $285,750.
Analytical Skills
36% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $115,000 - $151,500
- 25% of job descriptions advertised a maximum salary above $200,000.
- 5% of job descriptions advertised a maximum salary above $303,900.
Data visualization
21% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $113,125 - $150,150
- 25% of job descriptions advertised a maximum salary above $193,921.33.
- 5% of job descriptions advertised a maximum salary above $269,700.
Collaboration
21% jobs mention Collaboration 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 $200,000.
- 5% of job descriptions advertised a maximum salary above $301,650.

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 Pharmaceutical, Software Development and Insurance. 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.

Pharmaceutical
1% jobs are in Pharmaceutical industry. The Median Salary Range for these jobs is $182,000 - $267,200
- 25% of job descriptions advertised a maximum salary above $353,325.
- 5% of job descriptions advertised a maximum salary above $367,700.
Software Development
8% jobs are in Software Development industry. The Median Salary Range for these jobs is $142,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $326,400.
Insurance
2% jobs are in Insurance industry. The Median Salary Range for these jobs is $130,000 - $180,000
- 25% of job descriptions advertised a maximum salary above $213,000.
- 5% of job descriptions advertised a maximum salary above $250,000.
Financial Services
1% jobs are in Financial Services industry. The Median Salary Range for these jobs is $135,000 - $168,000
- 25% of job descriptions advertised a maximum salary above $227,500.
- 5% of job descriptions advertised a maximum salary above $283,800.
Fintech
2% jobs are in Fintech industry. The Median Salary Range for these jobs is $134,000 - $167,500
- 25% of job descriptions advertised a maximum salary above $200,000.
- 5% of job descriptions advertised a maximum salary above $258,200.
Mental Health
2% jobs are in Mental Health industry. The Median Salary Range for these jobs is $129,250 - $156,450
- 25% of job descriptions advertised a maximum salary above $190,000.
- 5% of job descriptions advertised a maximum salary above $245,000.
Software as a Service (SaaS)
3% jobs are in Software as a Service (SaaS) industry. The Median Salary Range for these jobs is $120,000 - $152,600
- 25% of job descriptions advertised a maximum salary above $180,000.
- 5% of job descriptions advertised a maximum salary above $316,495.2.
Healthcare
6% jobs are in Healthcare industry. The Median Salary Range for these jobs is $101,893 - $134,185.5
- 25% of job descriptions advertised a maximum salary above $200,000.
- 5% of job descriptions advertised a maximum salary above $277,220.
Marketing
1% jobs are in Marketing industry. The Median Salary Range for these jobs is $99,500 - $122,500
- 25% of job descriptions advertised a maximum salary above $156,000.
- 5% of job descriptions advertised a maximum salary above $223,000.
E-Commerce
1% jobs are in E-Commerce industry. The Median Salary Range for these jobs is $98,720 - $120,000
- 25% of job descriptions advertised a maximum salary above $180,850.
- 5% of job descriptions advertised a maximum salary above $282,000.

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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🔥 Sr Business Data Analyst (US)

Posted 3 minutes ago

📍 United States of America

💸 68640.0 - 102960.0 USD per year

🔍 Financial Crimes Risk Management

🔧 Requirements

5+ years related business analysis experience required
Proficiency in SQL and or equivalent computer languages
Experience with data modeling and/or data transformation tools a plus (Erwin, SQL Developer, Informatica)
Experience working with Microsoft Azure cloud infrastructure a plus

💡 Responsibilities

Leads a diverse range of stakeholders; communicates effectively by adapting style and technique to a diverse audience
Analyzes impacts to customers, stakeholders, employees, process, technology solutions to achieve business results
Understands and clarifies work packages of each assigned initiative/project inclusive of constraints (time, cost, people resources) and maintain a customer-centric approach

SQL Business Analysis Data Analysis Erwin Communication Skills Microsoft Excel Problem Solving Data visualization Data modeling Data management Change Management

Posted 3 minutes ago

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🔥 Accountant

Posted 8 minutes ago

📍 Metro, Manila, PH

🧭 Full-Time

💸 50000.0 - 65000.0 PHP per year

🔍 Accounting

🏢 Company: StaffRight

🔧 Requirements

Bachelor’s degree in Accounting, Finance, or related field
at least 5 years of experience in accounting roles
Proficiency in QuickBooks Online and Excel (pivot tables, vlookups)
Strong attention to detail and analytical skills
Comfortable using time tracker tools like Time Doctor
Highly motivated and organized
Fluent in English - excellent written and verbal communication
Proficient on a computer and in Microsoft Office (Outlook, Word, Excel)
High-quality noise-canceling headset
High-speed internet (50+ Mbps) with backup internet
High-speed computer with a working webcam also must have a backup computer
A quiet working environment free of outside noise (cars, animals, others working)

💡 Responsibilities

Manage end-to-end accounting processes using QuickBooks Online
Prepare financial statements and reports
Conduct account reconciliations and ensure compliance with GAAP
Process accounts payable and receivable transactions
Utilize Excel for data analysis and reporting

Data Analysis Financial Management Communication Skills Accounting Time Management MS Office Budgeting Financial analysis English communication Bookkeeping

Posted 8 minutes ago

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🔥 Senior/Staff Product Analyst

Posted 11 minutes ago

📍 United States

💸 152150.0 - 215000.0 USD per year

🔍 Mental Healthcare

🔧 Requirements

6+ years of experience using data to solve real-world problems and drive decision-making within engineering, product or growth teams
4+ years of experience at a high-growth technology startup
High proficiency with SQL, and tools for data analysis
Experience developing tests and predictive analytics, synthesizing results, and building frameworks and data models to make data-informed launch decisions
Exceptional data storytelling abilities, as well as the ability to articulate technical information to a non-technical audience

💡 Responsibilities

Become a trusted strategic partner to our product and engineering teams, and work with them to define analytics requirements, identify important questions, design and implement experiments, and help answer critical questions to drive strategy with data
Use data to understand trends in user behavior and product usage to influence strategy, product ideation, and drive experimentation
Collaborate with Data 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

SQL Data Analysis Product Analytics Data engineering Communication Skills Analytical Skills Collaboration RESTful APIs Problem-solving skills Data visualization Data modeling Data analytics A/B testing

Posted 11 minutes ago

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🔥 Senior Director, Strategic & Corporate Finance

Posted 15 minutes ago

📍 United States

🧭 Full-Time

💸 171000.0 - 209000.0 USD per year

🏢 Company: Headspace👥 11-50 Wellness Health Care Child Care

🔧 Requirements

10+ years of progressive experience in Strategic Finance, Corporate Finance, Investment Banking, Consulting, or other highly analytical financial roles.
Strong track record of financial leadership with experience overseeing both strategic finance and corporate financial reporting functions.
Expertise in financial modeling, forecasting, and advanced data analysis.
Ability to translate complex financial data into actionable business insights, effectively communicating to senior executives and non-finance stakeholders.
Experience managing SG&A and back-office financial operations across multiple departments.
Highly organized and detail-oriented, with the ability to manage multiple priorities in a fast-paced environment.
Strong leadership and people management skills, with experience building and scaling finance teams.
BA or BS in Finance, Accounting, Economics, or a related quantitative field.

💡 Responsibilities

Lead and oversee both the Strategic Finance and Corporate Finance teams, ensuring alignment between financial planning, corporate strategy, and company growth objectives.
Drive strategic financial decision-making by integrating market trends and competitive insights through in-depth financial modeling, forecasting, and business insights that impact long-term growth and profitability.
Provide financial leadership on capital allocation decisions, including defining and managing a ROI framework to ensure optimal use of resources.
Oversee all internal and external financial reporting, ensuring accuracy, timeliness, and compliance with corporate and regulatory standards.
Manage SG&A and business partner for back-office functions such as Legal, Finance, and HR, optimizing cost efficiency and operational effectiveness.
Partner with senior business leaders across all functions to provide financial guidance, influencing corporate strategy and operational execution.
Lead deep-dive financial analyses to uncover opportunities for growth, cost optimization, and operational efficiencies.
Partner with the Finance Leadership Team and People Team to build and execute a comprehensive talent development strategy, while directly owning the growth and development of the Strategic & Corporate Finance teams. Foster leadership, collaboration, and operational excellence, ensuring alignment with Headspace’s core values and expectations for high performance

Leadership Project Management Business Intelligence Data Analysis People Management Cross-functional Team Leadership Operations Management Strategy Business Operations Financial Management Strategic Management Communication Skills Analytical Skills Microsoft Excel Accounting Compliance Reporting Budgeting Risk Management Data visualization Strategic thinking Financial analysis Data modeling

Posted 15 minutes ago

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🔥 Quality Audit for Life & Annuity Death Claims - US REMOTE

Posted 37 minutes ago

📍 United States

💸 43800.0 - 81300.0 USD per year

🔍 Life and Annuity

🔧 Requirements

Bachelor's degree in a relevant field or equivalent combination of education and experience
Typically, 2+ years of relevant work experience in Life and Annuity
Proven experience in Life/Annuity Death Claims processing and Quality review
Proficiencies in quality assurance and risk management
Continuous learner that stays abreast with industry knowledge and technology

💡 Responsibilities

Perform quality control and assurance tasks, by reviewing Life and Annuity Death Claims payment and correspondence review, to ensure product compliance with regulatory and processing standards
Assist in the analysis of quality data and metrics
Participate in the maintenance of quality standards and documentation
Collaborate with cross-functional teams to implement corrective actions
Provide support to quality analysts and technicians
Participate in the investigation of non-conformities
Maintain and update quality records and reports
Adhere to established quality assurance procedures and policies

Data Analysis QA Automation Compliance Quality Assurance Risk Management Process improvement

Posted 37 minutes ago

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🔥 Data Analyst

Posted about 1 hour ago

📍 United States, Canada

💸 141000.0 - 178000.0 USD per year

🔍 Software Development

🏢 Company: OpenPhone👥 51-100💰 $40,000,000 Series B almost 3 years agoProductivity Tools Messaging B2B Collaboration Software

🔧 Requirements

4+ years of experience in data analysis, preferably in a SaaS environment.
Strong analytical and problem-solving skills with a quantitative mindset.
Familiarity with analytics engineering and dbt (a plus).
Excellent communication skills with the ability to explain technical concepts to non-technical audiences.
Ability to thrive in a high-paced, high-growth environment.
Experience managing data projects and collaborating with cross-functional teams.

💡 Responsibilities

Develop and maintain dashboards and reports using BI tools (e.g., Mode, Tableau) to support GTM teams.
Analyze marketing, advertising, and sales data, including conversion funnel and cohort retention analyses, slicing data by attribution models, and providing customer lifecycle insights.
Collaborate with stakeholders across sales, marketing, and customer success to define key metrics and reporting needs.
Write efficient SQL queries to extract, transform, and analyze data from various sources.
Assist in data modeling and transformation using dbt (a plus but not required).
Comfortable with working large and complex data coming from multiple sources such as Kafka events or web traffic data from ad platforms.
Communicate findings effectively to both technical and non-technical stakeholders.
Ensure data accuracy, integrity, and security in all reporting and analysis efforts.

SQL Data Analysis ETL Tableau Communication Skills Analytical Skills Data visualization Marketing Stakeholder management Data modeling Data analytics Data management SaaS

Posted about 1 hour ago

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🔥 Customer Success Manager

Posted about 1 hour ago

📍 United States

💸 109500.0 - 128000.0 USD per year

🔍 SaaS

🔧 Requirements

2 - 3+ years relevant work experience in customer success, account management, digital consultancy or project management, preferably in a SaaS business
Located in United States
Experience working with a portfolio of accounts, supporting a highly technical product
Demonstrated ability to establish relationships, credibility, present, and to communicate effectively at all levels of an organization
Ability to set priorities, drive decisions and get closure on recommendations and issues
Ability to influence others towards continuous improvement, both internally and externally
Experience successfully managing customer engagements to completion and customer satisfaction
Excellent presentation, written and verbal communication skills
Proven time management skills with the ability to prioritize tasks

💡 Responsibilities

Drive the on-boarding, adoption, retention and overall success of our customers
Lead the enablement of our users by conducting product trainings
Work in partnership with Solutions Architects to guide customers through the project management and technical requirements of their Algolia implementation
Provide regular, proactive recommendations to optimize the use of our platform
Maximize the adoption of our product features in order to maximize the value driven by our product
Document and clearly articulate the Return on Investment driven by our solution
Identify accounts that are likely to churn and work proactively to eliminate that risk
Identify opportunities to expand our partnership with customers
Analyze accounts that have been lost, identify reasons for churning and build a strategy to win customers back
Ensure all account issues are quickly resolved, utilizing resources from cross-functional teams internally
Function as the voice of the customer and provide internal feedback on how Algolia can better serve them
Track key account metrics and forecast retention

Project Management Data Analysis Product Management Cross-functional Team Leadership Communication Skills Problem Solving Customer service Agile methodologies RESTful APIs Presentation skills Account Management Training Relationship management Sales experience Technical support CRM Customer Success SaaS

Posted about 1 hour ago

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🔥 Senior Software Developer, Data Technology

Posted about 2 hours ago

📍 Canada

💸 98400.0 - 137800.0 CAD per year

🔍 Software Development

🔧 Requirements

A degree in Computer Science or Engineering, and 5-8 years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
Experience working with message queues such as Kafka and Kinesis
Experience developing data pipelines and integrations for high volume, velocity and variety of data
Experience with data warehousing and data modeling best practices

💡 Responsibilities

Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
Conduct directed research and technical analysis of new candidate technologies that fill a development team’s business or technical need
Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
Implement our technical roadmap as we scale our services and build new data products
Participate in code reviews, attend regular team meetings, and apply software development best practices
Take ownership of your work, and work autonomously when necessary
Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWS PostgreSQL Python Software Development SQL Agile Apache Airflow Cloud Computing Data Analysis Data Mining ETL Java Kafka MySQL Software Architecture Algorithms API testing Data engineering Data Structures Go Serverless Spark CI/CD RESTful APIs Microservices Scala Data visualization Data modeling Data management

Posted about 2 hours ago

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🔥 Staff Software Engineer - Bidding Intelligence

Posted about 2 hours ago

📍 CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, WA

🧭 Full-Time

💸 165000.0 - 225000.0 USD per year

🔍 Software Development

🏢 Company: Liftoff👥 501-1000💰 Private about 4 years agoAdvertising Platforms Big Data Mobile Advertising App Marketing Ad Retargeting Mobile Ad Network

🔧 Requirements

8+ years of industry experience in Software Engineering and/or Infrastructure
B.S. or higher in Computer Science
Very strong coding ability
Deep understanding of computer architectures, data structures, and algorithms
Experience building low-latency, high-throughput, distributed backend services
Experience building data-intensive applications
Good team communication and collaboration skills

💡 Responsibilities

Build state-of-the-art deep learning models to make accurate bidding decisions in millions of auctions per second
Work with an experienced team of ML, Software, and Infrastructure Engineers
Design, engineer & implement reliable, scalable, and cost-efficient systems
Achieve core business objectives by enabling next generation ML models and technologies
Utilize vendor-based products (AWS, Weights & Biases, etc.), open source technologies (PyTorch, PySpark, etc.), and in-house tooling

AWS Backend Development Python Software Development Data Analysis Machine Learning PyTorch Algorithms Data Structures REST API Microservices Software Engineering

Posted about 2 hours ago

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🔥 Senior Data Scientist (NLP)

Posted about 2 hours ago

📍 Poland

🧭 Full-Time

💸 26000.0 - 35000.0 PLN per month

🔍 EdTech

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducation EdTech Communities E-Learning Apps Social Network Peer to Peer Software

🔧 Requirements

Advanced degree (Engineering, Master's or Ph.D.) in Computer Science, Mathematics, Statistics, or a related quantitative field with a strong focus on Machine Learning and/or Natural Language Processing.
5+ years of experience as a Data Scientist or Machine Learning Engineer, with a demonstrable focus on NLP and/or mathematical problem-solving.
Experience with cloud platforms such as AWS and/or Google Cloud Platform.
Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow, Langchain).
Deep understanding of machine learning algorithms, particularly in NLP and their application to complex reasoning tasks.
Strong mathematical foundation and analytical skills.
Excellent research and experimentation skills, including design, execution, and analysis.
Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
Fluency in English.

💡 Responsibilities

Investigate, implement, and evaluate novel techniques for math problem understanding, reasoning, and solution generation using Large Language Models and other relevant AI approaches.
Design, execute, and analyze experiments to develop and refine machine learning models for math question answering, ensuring rigorous experimentation processes and statistically sound conclusions.
Explore and analyze large datasets of math questions, solutions, and student interactions to identify patterns, improve model performance, and discover opportunities for enhancing our math knowledge base.
Work closely with Senior Machine Learning Engineers to integrate developed models and algorithms into the production math answering system, ensuring scalability, reliability, and performance.
Actively contribute to the definition of the Q&A Knowledge Base ML team roadmap, identifying key deliverables and strategic directions for improving Brainly's math capabilities.
Effectively communicate research findings, model performance, and project progress to technical and non-technical stakeholders across the company.
Champion and ensure adherence to high standards of statistical and scientific rigor within the team's research and development processes.
Stay up-to-date with the latest advancements in LLMs, mathematical AI, and relevant technologies, and evaluate their potential application to Brainly's math answering challenges.

AWS Python Cloud Computing Data Analysis Machine Learning Numpy PyTorch Algorithms Data science Tensorflow Communication Skills Analytical Skills Problem-solving skills Research Fluency in English

Posted about 2 hours ago

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Shown 10 out of 1969

Data Analysis Job Salaries

Median high-range salary for jobs requiring Data Analysis:

Skills and Salary

Leadership

Cross-functional Team Leadership

Financial analysis

SQL

Communication Skills

Project Management

Analytical Skills

Data visualization

Collaboration

Industries and Salary

Pharmaceutical

Software Development

Insurance

Financial Services

Fintech

Mental Health

Software as a Service (SaaS)

Healthcare

Marketing

E-Commerce

Jobs