Data Analysis Jobs

1,432,554 open positions · Updated daily

Data Analysis is at the forefront of the digital transformation wave. Companies are investing heavily in dataโ€‘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 youโ€™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.

RS: Toward Autonomous Data Management with FMs and AI Agents Intern 2026

Company: IBM

Location: Multiple Cities

Posted Dec 07, 2025

IBM Research is seeking a talented intern to help advance autonomous data management systems using foundation models and AI agents. The role involves research and development for data workflow orchestration, focusing on tasks such as data discovery, knowledge representation, and automated insights. The intern will work on improving foundation model inference, creating generative AI tooling for DataOps, and developing efficient and reliable AI agents.

Sales leader - Nordic Region

Company: IBM

Location: Stockholm, SE

Posted Dec 07, 2025

The text describes a career opportunity at IBM Software, focusing on a strategic sales leadership role in the Nordic region. The role involves developing commercial strategies, managing a sales team, engaging with enterprise accounts, and collaborating with IBM ecosystem partners. The position requires extensive B2B sales experience, industry knowledge in cloud and infrastructure software, and fluency in English and a Scandinavian language.

Technical Product Manager, Storage Networking

Company: IBM

Location: BANGALORE, IN

Posted Dec 07, 2025

The text is a job description for a Product Manager role at IBM Infrastructure Storage Division. It outlines the responsibilities, required skills, and qualifications for the position. The role involves working closely with customers, market experts, design, development, and various teams to define product capabilities, drive strategy, and deliver high-quality products. The ideal candidate should be passionate about product design, user experience, and have experience in data center networking, virtualization, and software-defined networking.

Senior Software Engineer

Company: IBM

Location: LOWELL, US

Posted Dec 07, 2025

The text is a job description for a software engineering position at IBM Software. It highlights the team's focus on creating AI-powered cloud-native solutions, the required skills and experience, and the benefits of working at IBM.

Senior Technical Product Marketing Manager II

Company: IBM

Location: Multiple Cities

Posted Dec 07, 2025

The text describes a career opportunity at IBM Software, specifically in the HashiCorp Portfolio and Platform Product Marketing Group. The role involves creating technical narratives, demos, and content to showcase how HashiCorp helps organizations innovate faster, more securely, and efficiently. The position requires collaboration with various teams, strong storytelling skills, and experience in product marketing or related technical marketing roles.

SuccessFactors - Core HR Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 07, 2025

This job description highlights opportunities for career growth, collaboration with global clients, and innovative SAP solutions. It emphasizes technical expertise, leadership, and teamwork in delivering impactful projects within IBM's consulting environment.

Software Developer

Company: IBM

Location: Kochi, IN

Posted Dec 07, 2025

The job posting is for a software engineering position focused on developing and enhancing IBM's cloud solutions. The ideal candidate will have experience with React, Java, NodeJS, and cloud technologies like Docker and Kubernetes. The role involves full-cycle Agile software development, code reviews, and working in a collaborative team environment.

Technical Lead: IDMS

Company: IBM

Location: No City, US

Posted Dec 07, 2025

The job posting describes a role as an IDMS Technical Lead at IBM Consulting, where the individual will oversee IDMS database and application software migration activities, identify challenges, document requirements, and assist in developing project-specific solutions. The role requires experience in IDMS database and application development, application support, issue resolution, and project management. Strong communication and collaboration skills are preferred.

Data Scientist Intern

Company: IBM

Location: Vilnius, LT

Posted Dec 07, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. It requires a quantitative background, fluency in English, and strong Python programming skills. The position offers opportunities to work on real projects with top professionals in the market.

Software Developer Intern: 2026

Company: IBM

Location: Multiple Cities

Posted Dec 07, 2025

IBM seeks software developers to innovate and solve complex problems using advanced technologies, emphasizing collaboration and expertise in programming and design.

AI Researcher- MSc and PHD-Summer internship 2026- Research Lab

Company: IBM

Location: Multiple Cities

Posted Dec 07, 2025

The text is a job posting for an internship at IBM, focusing on cutting-edge topics in generative AI, agentic systems, and their real-world applications. The role involves working on a dynamic team of top AI researchers, tackling advanced challenges in AI, and potentially resulting in a research paper submission to a leading AI or NLP conference.

Java Developer (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 07, 2025

The job description outlines a role in the IBM Client Innovation Center Germany, where the candidate will work on technical projects in the banking sector. The position requires Java expertise, knowledge of current tools and frameworks, experience with Agile/Scrum methodologies, and proficiency in German and English.

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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