Data Analysis Jobs in Remote

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Looking for Data Analysis jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Data Analysis position in the Remote area.

Technical Lead Software Development Engineer, Android

Company: Zillow

Location: Mexico City, Mexico / Remote

Posted Jan 23, 2025

Named Regional Sales Manager - SoCal

Company: ExtraHop

Location: Remote

Posted Jan 23, 2025

ExtraHop is a leading cybersecurity company offering a network detection and response (NDR) product that provides real-time threat detection and proactive security. They are seeking a sales professional with a strong track record in technology sales, particularly in cybersecurity or complex SaaS solutions. The role involves increasing revenue in assigned regions, identifying prospects, and presenting ExtraHop products to customers. The company offers competitive compensation, strong commission plans, and the opportunity to work with a team of smart, hardworking individuals. ExtraHop is recognized for its innovation and commitment to building a world-class team, with numerous awards and accolades. The company values diversity and inclusion, and offers a range of benefits including health, dental, vision, flexible PTO, and more.

Regional Sales Director

Company: Illumio

Location: Melbourne, Australia / Remote

Posted Jan 23, 2025

Biostatistician II- (Labs role) remote within 1-2 hours of Phili, PA!

Company: Thermo Fisher Scientific

Location: Remote

Posted Jan 23, 2025

Thermo Fisher Scientific offers a rewarding job opportunity in Biostatistics and Programming. The role involves leading statistical tasks, providing mentorship, and delivering high-quality statistical analyses. The ideal candidate should have a Master's degree in statistics, biostatistics, mathematics, or a related field, along with 2+ years of experience. Proficiency in SAS, R, and JMP is required. The position involves working in an office environment, with tasks including statistical support for experimental design, data analysis, assay validation, and publication. The company values integrity, innovation, intensity, and involvement, and is committed to enabling customers to make the world healthier, cleaner, and safer.

Named Regional Sales Manager - Texas

Company: ExtraHop

Location: Remote

Posted Jan 23, 2025

ExtraHop is a leading cybersecurity company offering a network detection and response (NDR) product that provides real-time threat detection and proactive security. They are seeking a sales professional with a strong track record in technology sales, particularly in cybersecurity or complex SaaS solutions. The role involves increasing revenue in assigned regions, identifying prospects, and presenting ExtraHop products to customers. The company offers competitive compensation, strong commission plans, and the opportunity to work with a team of smart, hardworking individuals. ExtraHop is recognized for its innovation and commitment to building a world-class team, with numerous awards and accolades. The company values diversity and inclusion, and offers a range of benefits including health, dental, vision, flexible PTO, and more.

Commercial Account Representative

Company: Illumio

Location: Columbus, OH / Remote

Posted Jan 23, 2025

Sr. Wind Hub Manager - Oregon - Arlington

Company: GE Vernova

Location: Prineville, OR / Remote

Posted Jan 22, 2025

Spring Intern 2025 - DIGITAL, Data and Technology Infrastructure

Company: PCORI

Location: Remote

Posted Jan 23, 2025

The Patient-Centered Outcomes Research Institute (PCORI) is offering a spring internship in the DIGITAL department. The intern will work on a cutting-edge project using Natural Language Processing (NLP) and Machine Learning (ML) to develop and refine algorithms for automating portfolio coding. Key tasks include defining taxonomy with NLP, developing a clear mapping, annotating a representative dataset, and building and evaluating an initial model for coding research plans. The intern will also have the opportunity to work with a diverse team and gain hands-on experience in AI, data science, and research methodologies. The pay range is $17.50 for Bachelor's and $20.00 for Master's and above, hourly.

Frequently Asked Questions

What are typical salary ranges for Data Analysis roles by seniority?
Entry‑level Data Analysts earn $65k–$85k, mid‑level $85k–$115k, senior $115k–$150k, and analytics leaders or managers range $140k–$190k. These figures reflect U.S. averages and vary by region and industry.
Which technical skills and certifications are most valuable for Data Analysis professionals?
Strong proficiency in <strong>SQL</strong>, <strong>Python</strong>, <strong>R</strong>, and spreadsheet modeling is essential. Building dashboards in <strong>Tableau</strong> or <strong>Power BI</strong>, working with cloud warehouses like <strong>Snowflake</strong> or <strong>BigQuery</strong>, and knowledge of statistical testing are core. Certifications such as Certified Analytics Professional (CAP), Google Data Analytics Professional Certificate, Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist, and AWS Certified Data Analytics – Specialty boost credibility.
Is remote work common for Data Analysis positions?
Yes—over 70% of listings on jobtransparency.com offer full‑remote or hybrid models. Remote analysts frequently use cloud data platforms (Snowflake, BigQuery), version control (Git), and collaboration tools like Slack and Microsoft Teams to maintain data integrity and stakeholder communication.
What career progression paths are available for Data Analysis talent?
Typical growth moves from Junior Analyst to Senior Analyst, then to Analytics Lead or Manager, and ultimately to Director of Analytics or VP of Data. Specializations such as predictive modeling, data engineering, or product analytics create additional advancement opportunities, especially when coupled with continuous learning and certifications.
What industry trends are shaping the future of Data Analysis?
Key trends include real‑time stream analytics, AI‑augmented analytics that automate insights, growing adoption of cloud data lakes and lakehouses, heightened focus on data governance, privacy compliance, and the need for explainable AI dashboards that blend statistical rigor with narrative storytelling.

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