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.

Associate AI Engineer

Company: Rekuten Global

Location: Bellevue, WA

Posted Sep 05, 2025

Education: Bachelor’s or master’s degree in computer science, Computer Engineering, AI/ML, or a closely related field.

Sales Associate, Asset Management

Company: Macquarie Group Limited

Location: Philadelphia, PA

Posted Sep 05, 2025

As a Sales Associate, you will be a key member of our Sales team, assisting internal sales consultants and regional directors by implementing tactical…

Software Engineer - Mid level

Company: CACI

Location: Austin, TX

Posted Sep 05, 2025

The selected candidate will perform a variety of engineering tasks including analysis, design, and development in target product areas.

Data Scientist

Company: The Hartford

Location: Wayne, PA

Posted Sep 05, 2025

Minimum 4 years of hands-on experience in data science or a related field. Preferred 6+ years of hands-on experience in data science or a related field.

Data Analyst - Business Analyst

Company: Super Micro Computer

Location: San Jose, CA

Posted Sep 05, 2025

Utilize tools such as MS Office (Excel, Word, PowerPoint), Smartsheet, and other business analysis tools to document and present findings.

Designer

Company: Switch

Location: Las Vegas, NV

Posted Sep 05, 2025

Create design templates for social media, web and email. Bring our brand to life across digital and print assets through high-quality design work.

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.

Related Pages