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.

Backend C# Developer - REMOTE EST

Company: Veeam

Location: Alpharetta, GA / Remote

Posted Jan 22, 2025

Veeam Software is seeking a skilled C# developer with deep understanding of the Windows platform and experience in public cloud development (Microsoft Azure, Office 365, etc.). The role involves developing and supporting Veeam Backup for Office 365, communicating with product development team, planning features, and training new team members. Technologies to be used include .NET 6, Visual Studio 2022, Rider, Microsoft TFS, Git, Jenkins, TeamCity, Azure, Office 365, and various databases. The ideal candidate should possess strong analytical skills, teamwork ability, and potentially secure US government clearance.

Careers at Swiftly: Open Application

Company: Swiftly

Location: San Francisco, CA / Remote

Posted Jan 22, 2025

FP&A Analyst

Company: LendingHome

Location: Remote

Posted Jan 22, 2025

BANCO DE TALENTOS - Software Development Engineer (Pessoa com Deficiência)

Company: WEX

Location: Remote

Posted Jan 22, 2025

The WEX company is committed to fostering an inclusive workplace that celebrates diversity and encourages employees to be authentic. They are currently seeking a professional with a disability for a growing career opportunity. The role involves working in an Agile environment, performing quality control tasks for various teams, collaborating with product owners, development teams, and other stakeholders. The ideal candidate should have experience in quality control testing, automation, data science, and coding. Proficiency in C# or Java, Selenium, OOP, and performance testing tools like Jmeter or NeoLoad is required. Experience with CI/CD automation integration using Azure DevOps, Bamboo, or Jenkins, and AWS tools is also desired.

Senior Software Engineer - Distributed Systems

Company: Datadog

Location: Boston, MA / Remote

Posted Jan 22, 2025

Datadog is seeking a Distributed Systems engineer to design, implement, and manage foundational platforms for their applications. The role involves working with high-volume data pipelines, using languages like Go, Java, Rust, or C++, and open-source components such as Kafka, Redis, Cassandra, and Elasticsearch. The company values a strong office culture, offering hybrid work arrangements for work-life balance. The ideal candidate should have a scientific degree, significant backend programming experience, and a passion for problem-solving in a fast-paced startup environment. Benefits include stock equity, professional development, mentorship, and comprehensive global benefits.

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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