ZipRecruiter

Log In

2

Remote Data Analysis Jobs (NOW HIRING)

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to ... Ad-hoc data analysis * Deep data investigation * Data visualization * Data integration * ETL ...

Capital One

Senior Director, Data Analysis

Plano, TX · On-site +1

$82.30K - $103.80K/yr

Lead the Analyst team and drive data source and tool innovations based on stakeholder data needs, including adoption of Big Data technologies and development of a program to train and enhance ...

BluZinc

Director Business Intelligence Data Analysis

NY · On-site +1

$150K - $200K/yr

BluZinc is exclusively hiring a remote UAS based Director or Head of Business Intelligence and Data Analytics for a $100MM+ digital eLearning, mobile app, and online coaching business. Reporting to ...

Zolve

Be Seen First

Data Science and Analytics Intern

Roseland, NJ · Remote

$15.92 - $17/hr

United States, Remote/Hybrid Internship Please register at Zolve Internship Portal here: Role and Responsibilities: As a Data Science and Data Analytics Intern, you will play a crucial role in ...

next page

Showing results 1-20

People also search for

All JobsData Analysis JobsRemote Data Analysis Jobs

Remote Data Analysis information

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

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

More about Remote Data Analysis jobs
What cities are hiring for Remote Data Analysis jobs? Cities with the most Remote Data Analysis job openings:
What are the most commonly searched types of Data Analysis jobs? The most popular types of Data Analysis jobs are:
What states have the most Remote Data Analysis jobs? States with the most job openings for Remote Data Analysis jobs include:
What job categories do people searching Remote Data Analysis jobs look for? The top searched job categories for Remote Data Analysis jobs are:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 56% Physical, 5% Hybrid, and 39% Remote job distribution.
Senior Data Analyst (Remote)

Senior Data Analyst (Remote)

NuView Analytics

Denver, CO • Remote

$90K - $120K/yr

Full-time

Posted 25 days ago

Job description

100% Remote Full-time Senior Analyst

At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of humility, intellectual rigor, and stewardship we help companies gain a new perspective on their business through their data.

Salary: $90k120K + bonus + benefits
Location: 100% remote for US-based candidates

Responsibilities:

  • Candidate will complete data analytics and data science projects for clients
  • Candidate will be a key leader in researching and helping the company learn about new technologies/skillsets that are not currently possessed by the firm
  • Candidate will take Lead on client projects from start to finish scoping, onboarding, delivering
  • Candidate will train and develop new team members in both engagement process and data analytics skill sets when needed

Projects Include:

  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development
  • Statistical modeling and machine learning

Qualifications:

  • Bachelors Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 3-5 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, Power BI, or Looker all stars
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to Lead other team members as a player coach, completing projects side-by-side and teaching junior team members best practices and techniques
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)