Data Analysis Jobs

1,433,242 open positions · Updated daily

Data Analysis is at the forefront of the digital transformation wave. Companies are investing heavily in data‑driven decision making, which drives a surge in demand for analysts who can turn raw data into actionable insights using tools like SQL, Python, R, Tableau and cloud data warehouses.

Within the Data Analysis spectrum you’ll find roles such as Data Analyst, Business Intelligence Analyst, Data Analyst Manager and Analytics Consultant. Core responsibilities include data cleaning, exploratory analysis, building dashboards, creating predictive models, and translating findings into clear visual stories for stakeholders.

Salary transparency is especially valuable for data professionals because the market reward varies dramatically by skill set, industry and geography. Knowing the exact pay range for a role that requires, for example, Tableau and Snowflake expertise, lets you negotiate confidently and benchmark against peers.

Lab Client Service Supervisor

Company: Unified Women's Healthcare

Location: Florida

Posted Oct 07, 2025

Through 815+ clinics, 23 IVF labs, nationwide telehealth capabilities and targeted case management, our 2,700+ independent, affiliated providers deliver…

Resilient Infrastructure Systems Analyst

Company: Lawrence Livermore National Laboratory

Location: Livermore, CA

Posted Oct 07, 2025

Master’s degree in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data or information science), operations…

Software Engineer

Company: Spraying Systems Co

Location: Glendale Heights, IL

Posted Oct 07, 2025

*Modern Tooling*: Utilize tools like *Git* for version control and AI-powered coding assistants such as *GitHub Copilot* and *Claude Code*.

Carpenter

Company: School City of Hammond

Location: Hammond, IN

Posted Oct 07, 2025

Valid driver's license with good driving record. Ability to listen and to effectively communicate with administrators, contractors, and staff.

Lab Client Service Supervisor

Company: Unified Women's Healthcare

Location: Florida

Posted Oct 07, 2025

Through 815+ clinics, 23 IVF labs, nationwide telehealth capabilities and targeted case management, our 2,700+ independent, affiliated providers deliver…

Assistant Controller

Company: Senox Corporation

Location: Austin, TX

Posted Oct 07, 2025

Works closely with manufacturing to understand issues and how they impact the financial results as well as educate/inform department(s) on cost drivers and…

Frequently Asked Questions

What are the typical salary ranges by seniority in Data Analysis?
Entry‑level analysts earn roughly $55,000–$75,000. Mid‑level analysts command $80,000–$110,000. Senior analysts can expect $115,000–$145,000. Lead analysts often see $150,000–$180,000, while analytics managers range $160,000–$200,000. These ranges reflect current listings on the platform.
Which skills and certifications are most valuable for Data Analysts?
Core skills: SQL, Python or R, Tableau/Power BI, Excel, statistical modeling, data wrangling, and data storytelling. Certifications that boost market value include Google Data Analytics Professional Certificate, Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist, and Snowflake SnowPro Core Certification.
How common is remote work in Data Analysis roles?
Approximately 70% of listings support remote or hybrid arrangements. Remote positions typically require reliable VPN access, data‑governance compliance, and strong communication tools. Popular remote‑friendly firms include Atlassian, Salesforce, and Twilio.
What career progression paths exist for Data Analysts?
Typical paths: Data Analyst → Senior Analyst → Analytics Lead → BI Developer/Data Engineer → Data Architect → Analytics Manager → Director of Analytics. Progression relies on deepening technical expertise, obtaining advanced certifications, and developing leadership or project‑management skills.
What industry trends are shaping the future of Data Analysis?
Real‑time streaming analytics, AI‑driven insights, and cloud data platforms (Snowflake, BigQuery, Redshift) are accelerating. Sectors like healthcare, fintech, and marketing demand data analysts who can merge machine learning with storytelling and adhere to strict data‑governance standards.

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