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Remote Data Analyst Sql Tableau Jobs (NOW HIRING)

Data analysts use data visualization tools like Tableau and Power BI to create clear and engaging ... Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently ...

HEDIS Data Analyst (SQL) Location: Philadelphia ,PA - Hybrid - 3 Days a week in the office/ Remote ... Experience with BI tools such as Power BI, Tableau, or SSRS. Required Skills * HEDIS (Healthcare ...

SQL, MS Power BI, Tableau, Excel, etc.) to transform that data into meaningful reports and ... Performs what-if analysis in support of creating proposals for change and process improvement.

SQL, MS Power BI, Tableau, Excel, etc.) to transform that data into meaningful reports and ... Performs what-if analysis in support of creating proposals for change and process improvement.

... SQL. Expert in Tableau or other visualization tools. Solid analysis and problem-solving skills ... data exploration, extraction, cleaning, transformation, testing, and implementation. Open to ...

Data Analyst (Remote)

Denver, CO ยท Remote

$80K - $100K/yr

... remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data ... SQL Required * R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including ...

Develop reports and analytics using data from data warehouse and Salesforce using Excel, SQL, Tableau, and other reporting/analytics tools. Develop data and analytics strategies and leverage advanced ...

Remote - Candidates must reside and work within the Eastern Time Zone Job Summary We are seeking an experienced Data Analyst III to support enterprise provider data initiatives within a large health ...

Senior Data Analyst (Remote)

$88K - $111K/yr

Develop SQL and T-SQL queries supporting reporting, analytics, and operational analysis. * Create ... Support Power BI and Tableau-style reporting initiatives. * Assist with migration validation ...

Data Analyst

Dallas, TX ยท On-site +1

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from multiple data sets, analyze and interpret complex data sets and make findings relevant and actionable for ...

Senior Data Analyst (Remote)

Denver, CO ยท Remote

$90K - $120K/yr

... remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data ... SQL Required * R or Python experience a plus * Tableau, Power BI, or Looker all stars * Looking for ...

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How much do remote data analyst sql tableau jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote data analyst sql tableau 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.

What is a remote data analyst specializing in SQL and Tableau?

A Remote Data Analyst specializing in SQL and Tableau is a professional who works from a remote location to analyze and interpret data for organizations. They use SQL to extract, manage, and manipulate large datasets from databases, and Tableau to visualize and present data insights through interactive dashboards and reports. Their main goal is to help businesses make informed decisions based on data trends and patterns. This role requires strong analytical skills, proficiency in SQL and Tableau, and the ability to communicate complex findings in a clear and actionable way.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in SQL and Tableau?

To thrive as a Remote Data Analyst with a focus on SQL and Tableau, you need strong analytical abilities, expertise in data querying, and a relevant degree in statistics, mathematics, computer science, or a related field. Proficiency in SQL for database management and Tableau for data visualization is essential, often supplemented by certifications in these tools. Attention to detail, problem-solving, and effective remote communication are crucial soft skills that help you translate complex data into actionable insights. These skills ensure accurate data analysis, clear reporting, and meaningful contributions to business decisions in a remote work environment.

What is the difference between Remote Data Analyst Sql Tableau vs Remote Data Analyst Python Power BI?

AspectRemote Data Analyst Sql TableauRemote Data Analyst Python Power BI
Required SkillsSQL, Tableau, data visualization, analyticsPython, Power BI, data analysis, scripting
Work EnvironmentRemote, data-driven teams, analytics departmentsRemote, data science and analytics teams
Common CertificationsTableau Desktop Specialist, SQL certificationsMicrosoft Certified: Data Analyst Associate, Python certifications

Both roles focus on data analysis in remote settings but differ in technical tools. Remote Data Analyst Sql Tableau emphasizes SQL and Tableau for visualization, while Remote Data Analyst Python Power BI centers on Python scripting and Power BI. Your choice depends on your preferred tools and certifications.

How does a remote data analyst using SQL and Tableau typically collaborate with other team members?

As a Remote Data Analyst specializing in SQL and Tableau, you will regularly interact with cross-functional teams such as business stakeholders, data engineers, and other analysts. Collaboration often happens through virtual meetings, shared dashboards, and project management tools to ensure alignment on data requirements and reporting needs. You'll be responsible for translating business questions into data queries, visualizing insights in Tableau, and communicating your findings clearly to both technical and non-technical colleagues. Strong communication and documentation skills are essential to keep projects progressing smoothly in a remote environment.
More about Remote Data Analyst Sql Tableau jobs
What cities are hiring for Remote Data Analyst Sql Tableau jobs? Cities with the most Remote Data Analyst Sql Tableau job openings:
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What job categories do people searching Remote Data Analyst Sql Tableau jobs look for? The top searched job categories for Remote Data Analyst Sql Tableau jobs are:
Infographic showing various Remote Data Analyst Sql Tableau job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Remote Data Analyst

Landpoint

Fremont, CA โ€ข Remote

Full-time

Re-posted 13 days ago


Job description

What is data analyst ?

A data analyst is a professional who collects, cleans, and analyzes data to answer questions or solve problems. They work in many industries, including business, finance, science, medicine, and government

To excel as a remote data analyst, professionals must possess a combination of technical skills, soft skills, and industry-specific expertise. These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth.

Skills;

Analytical and problem-solving skills

Knowledge of statistics and mathematics

Experience with spreadsheets

Experience with statistical languages

Experience with scripting languages

Knowledge of database management systems

Data visualization skills

Data Analyst Job Description: Key Responsibilities

Remote data analysts play a crucial role in driving business growth and decision-making by transforming raw data into actionable insights. Their key responsibilities include:

Collecting and interpreting data from various sources: Data analysts are responsible for gathering data from multiple sources, such as databases, APIs, and spreadsheets. They then interpret this data, identifying patterns and trends that can provide valuable insights for the business.

Analyzing data to identify trends and patterns: Once the data has been collected and interpreted, data analysts use various statistical methods and tools to analyze it. By identifying trends and patterns, they can provide insights that help businesses make data-driven decisions.

Creating reports and visualizations to present findings: Data analysts use data visualization tools like Tableau and Power BI to create clear and engaging reports that effectively communicate their findings to stakeholders. These visualizations help businesses understand complex data and make informed decisions.

Collaborating with cross-functional teams to support business objectives: Data analysts work closely with various teams within the organization, such as marketing, sales, and product development. By collaborating with these teams, they can provide data-driven insights that help support the company's overall business objectives.

Ensuring data accuracy and compliance with relevant regulations: Data analysts must ensure that the data they collect and analyze is accurate and reliable. They must also comply with any relevant regulations, such as data privacy laws, to protect the organization from potential legal issues.

Technical Skills

Data manipulation and analysis tools: Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently collect, clean, and analyze data from various sources.

Data visualization tools: Mastery of visualization tools such as Tableau and Power BI helps analysts create impactful visual representations of their findings, making it easier for stakeholders to understand complex data.

Knowledge of statistical methods and machine learning algorithms: A deep understanding of statistical methods and machine learning algorithms allows data analysts to identify trends and patterns, providing valuable insights for decision-making.

Soft Skills

Effective communication and collaboration: Remote data analysts must be able to clearly and concisely communicate their findings and collaborate with cross-functional teams to support business objectives.

Attention to detail and problem-solving abilities: A keen eye for detail and strong problem-solving skills are essential for identifying data anomalies and ensuring data accuracy.

Time management and organization: Remote work requires excellent time management and organizational skills to stay on track and meet deadlines.

Adaptability and self-learning capabilities: As technology and industry trends evolve, remote data analysts must be adaptable and committed to continuous learning to stay ahead of the curve.