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Home Based Data Analyst Jobs (NOW HIRING)

Data Analyst

San Francisco, CA · On-site

$104K - $184K/yr

Analyze user behavior, product performance, and key business metrics to identify trends and ... Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift ...

Provide recommendations based on data analysis to support strategic planning and operational efficiencies. SUPERVISORY RESPONSIBILITIES None KNOWLEDGE, SKILLS, & ABILITIES * Proficiency in data ...

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative ... Familiarity with Azure or cloud-based data services (if applicable). * Familiarity with Epicor and ...

Provide recommendations based on data analysis to support strategic planning and operational efficiencies. SUPERVISORY RESPONSIBILITIES None KNOWLEDGE, SKILLS, & ABILITIES * Proficiency in data ...

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Data Analyst

Madison, WI · Remote

$115K/yr

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... Familiarity with cloud-based data platforms (e.g., Azure, AWS, Snowflake) * Understanding of ...

Data Business Analyst

Denville, NJ · On-site

$70 - $75/hr

Analyze large datasets to identify trends, data quality issues, and opportunities for process ... Experience working with cloud-based data platforms. * Knowledge of data quality, master data ...

The ideal candidate will also have excellent problem-solving skills and exhibit strong, fact-based ... Data visualization and interface/ manipulation development * Analytics platform enhancements and ...

Data Analyst

Las Vegas, NV · On-site +1

$80K - $105K/yr

Carry out ad-hoc analyses based on internal or clients' requests. * Proactively identify ... HR Phone Screen - First Interview - Home Assignment - Second Interview - Offer * Start date: ASAP ...

Are you a data analyst who enjoys building dashboards and reports to deliver key insights to ... This role can be based out of any Weitz office location including: * Des Moines, IA * Denver, CO

Hays Electrical Services is a growing electrical contractor, and they are seeking a Data Analyst I ... based data platforms • Working knowledge of SQL for basic querying and data exploration • ...

Data Analyst

New York, NY · Hybrid

$75K - $100K/yr

Work from Home Flexibility * Service Recognition Programs * Socials, Outings & Retreats * Culture ... This is an estimate and a compensation offer will vary based on applicant's education, experience ...

Data Analyst

New York, NY · On-site

$75K - $100K/yr

Work from Home Flexibility * Service Recognition Programs * Socials, Outings & Retreats * Culture ... This is an estimate and a compensation offer will vary based on applicant's education, experience ...

Analytics& Reporting Query,clean, and transform datasets to support reporting and analysis ... Familiaritywith cloud-based data platforms (Snowflake, Databricks). Understandingof data governance ...

Analytics& Reporting Query,clean, and transform datasets to support reporting and analysis ... Familiaritywith cloud-based data platforms (Snowflake, Databricks). Understandingof data governance ...

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Home Based Data Analyst information

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$34K

$82.6K

$136K

How much do home based data analyst jobs pay per year?

As of Jul 7, 2026, the average yearly pay for home based 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.

Is 40 too late for data science?

A home-based data analyst role typically requires skills in data manipulation, statistical analysis, and tools like Excel, SQL, or Python. Age is not a barrier; many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

How can I make $100,000 a year working from home?

Home-based data analysts can reach a $100,000 annual income by gaining advanced skills in data analysis, programming, and tools like SQL, Python, or R, and obtaining relevant certifications. Increasing experience, specializing in high-demand industries, and working as a freelancer or consultant can also help achieve higher earnings from a remote setting.

What are the key skills and qualifications needed to thrive as a Home Based Data Analyst, and why are they important?

To thrive as a Home Based Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or economics. Experience with technical tools like SQL, Excel, Python, and data visualization platforms (e.g., Tableau or Power BI) is crucial, along with knowledge of remote collaboration software. Excellent attention to detail, problem-solving ability, and clear communication help you interpret data accurately and present actionable insights to stakeholders. These skills ensure you can independently manage, analyze, and report data effectively while collaborating remotely with teams and clients.

How do home-based data analysts typically collaborate with team members while working remotely?

Home-based data analysts often use a variety of digital tools to stay connected and collaborate with their teams, such as project management platforms, instant messaging apps, and video conferencing software. Regular virtual meetings and real-time document sharing are common practices to ensure alignment on projects and data-driven decisions. Effective communication skills and proactive reporting help maintain transparency and foster teamwork despite the physical distance. By leveraging cloud-based analytics platforms, analysts can seamlessly share insights and work jointly on datasets with colleagues across different locations.

How can I make 2000 a week working from home?

Home-based data analysts can increase earnings by taking on multiple freelance or contract projects, developing specialized skills in data analysis tools, and building a strong client network. Earning $2000 weekly typically requires consistent work, advanced skills, and possibly working full-time hours or higher-paying projects.

What is a Home Based Data Analyst?

A Home Based Data Analyst is a professional who works remotely from their home to collect, process, and analyze data to help organizations make informed decisions. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. The role typically involves working with large volumes of data, ensuring data quality, and presenting findings to stakeholders. Home Based Data Analysts must have strong analytical skills, attention to detail, and proficiency in data analysis software such as Excel, SQL, or Python. Remote data analysts often collaborate with teams and clients virtually.

Can you work from home as a data analyst?

Home-based data analysts perform their job remotely, analyzing data, creating reports, and using tools like Excel, SQL, or data visualization software from their own location. Many companies offer remote data analyst positions, often requiring strong communication skills and proficiency with data tools. Flexibility in schedule and self-discipline are important for success in a home-based role.
What cities are hiring for Home Based Data Analyst jobs? Cities with the most Home Based Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most Home Based Data Analyst jobs? States with the most job openings for Home Based Data Analyst jobs include:
Infographic showing various Home Based Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Air Apps

San Francisco, CA • On-site

$104K - $184K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago


Job description

About Air Apps
At Air Apps, we believe in thinking bigger-and moving faster. We're a family-founded company on a mission to create the world's first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018-and now with offices in both Lisbon and San Francisco-we've remained self-funded while reaching over 100 million downloads worldwide.
Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you'll be a creative force, shaping products that empower people across the globe.
Join us on this journey to redefine resource management-and change lives along the way.
The Role
As a Data Analyst at Air Apps, you will be responsible for analyzing and interpreting data to drive business insights and optimize product performance. You will create reports, dashboards, and performance metrics to help teams make informed decisions and improve user experience.
This role requires a data-driven mindset, strong analytical skills, and experience with visualization tools to turn complex data into actionable insights.
Responsibilities
  • Analyze user behavior, product performance, and key business metrics to identify trends and opportunities.
  • Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio.
  • Collect, clean, and structure large datasets to ensure accuracy and usability.
  • Define and track KPIs for marketing, product, and business performance.
  • Work with SQL, Python, or R to extract, analyze, and manipulate data.
  • Collaborate with product managers, engineers, and marketing teams to provide data-driven insights.
  • Conduct A/B testing and experiment analysis to improve product features and user engagement.
  • Identify bottlenecks and opportunities in user journeys and customer funnels.
  • Present findings in a clear and compelling way to stakeholders and leadership teams.
  • Stay up to date with industry trends, analytics best practices, and emerging data tools.

Requirements
  • Around 3+ years of experience in data analysis, business intelligence, or a related field.
  • Proficiency in SQL for data querying and manipulation.
  • Experience with data visualization tools (Tableau, Looker, Power BI, Google Data Studio).
  • Strong analytical skills with experience in Python or R for data analysis.
  • Knowledge of A/B testing methodologies and statistical analysis.
  • Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools.
  • Strong problem-solving skills and ability to communicate insights to non-technical stakeholders.
  • Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake).
  • Familiarity with ETL processes and data pipeline optimization is a plus.
  • Ability to work in a fast-paced, data-driven environment and manage multiple projects.

What benefits are we offering?
  • Apple hardware ecosystem for work.
  • Annual Bonus.
  • Medical Insurance (including vision & dental).
  • Disability insurance - short and long-term.
  • 401k up to 4% contribution.
  • Air Conference - an opportunity to meet the team, collaborate, and grow together.
  • Transportation budget
  • Free meals at the hub
  • Gym membership
Diversity & Inclusion
At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.
Application Disclaimer
At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.