Data Analysis Jobs

1,432,850 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.

AI Architect (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text highlights IBM Consulting's career opportunities focusing on innovation, collaboration with global clients, and professional growth. It emphasizes roles in AI and hybrid cloud solutions, technical expertise, and a culture of continuous learning and impactful problem-solving.

Federal Data Engineering Co-Op: 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. The role involves working on client projects, enhancing knowledge, and gaining professional experience. The company prioritizes continuous learning, skill development, and personal growth within a culture of coaching and mentorship.

AI Foundations - Research Scientist - Research Internship: 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for an AI Research Scientist Intern position at IBM Research. It highlights the responsibilities, required education, and technical expertise needed for the role. The position involves conducting end-to-end research in artificial intelligence, contributing to the development of IBM's Granite open-source models, and collaborating with a team of scientists, engineers, and designers.

Data Scientist-Artificial Intelligence

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

The job role is for a Software Development Manager to lead the design and development of IBM Consulting Advantage Platform. The role involves managing a team of engineers, collaborating with stakeholders, and driving software development activities. Required skills include Python, data analytics, and experience with cloud technologies.

Research Scientist (Digital ASIC Design)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Quantum is seeking a Research Scientist to develop advanced high-performance digital and mixed-signal ASICs for quantum computing applications. The role involves circuit design, RTL development, logic synthesis, verification, and system integration. A strong background in digital circuit design, CMOS implementation, and EDA tools is required. Experience in custom cell-based digital circuit design, design integration, digital signal processing, and accelerator design is preferred.

AI-Centric Solution Architecting for Global IT Intern - Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a Solution Architect role involving global team collaboration, designing architectural solutions for real-world problems across industries, and requiring technical expertise in AI, software development, and communication skills.

Site Reliability Engineer (SRE)

Company: IBM

Location: Sofia, BG

Posted Dec 04, 2025

This job description for an IBM Automation-focused intern highlights responsibilities involving automation code development, system administration, and cloud technologies. It emphasizes problem-solving, innovation, and collaboration with clients, while outlining required skills in scripting, DevOps tools, and cloud platforms like Redhat OpenShift.

Package Consultant-Oracle SCM

Company: IBM

Location: Kolkata, IN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the opportunity to work with clients globally, deliver technical expertise, and solve complex business problems using IBM's technology platforms. The role requires strong interpersonal skills, experience in Oracle SCM Cloud, and the ability to build, automate, and release solutions.

Senior Marketing Data Analyst - HashiCorp

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for a Senior Marketing Data Analyst position at HashiCorp, an IBM company. The role involves supporting various marketing domains, utilizing SQL and BI tools, and driving pipeline attribution projects. The ideal candidate should have a strong analytical background, experience with Salesforce, Marketo, SQL, and Tableau, and be process-oriented and detail-focused.

Managing Consultant - SAP S/4HANA FI/CO (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This job description highlights IBM Consulting's focus on long-term client relationships, innovation in hybrid cloud and AI, career development opportunities, and expertise in SAP S4HANA implementations. It emphasizes collaboration with global clients and technical proficiency in SAP modules.

SAP Application Architect

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The role of SAP Project and Service Management combines strong organizational skills with deep understanding of SAP solutions and IT governance. It involves leading design and architecture of SAP solutions, ensuring alignment with business and IT strategy, and collaborating with stakeholders to design scalable and futureproof architectures. The role requires proven experience as an SAP Application Architect or Senior Consultant, in-depth knowledge of SAP S4HANA architecture, and excellent communication skills.

Application Consultant-Mainframe Modernization

Company: IBM

Location: Taipei, TW

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. Consultants work with visionaries across industries to improve hybrid cloud and AI journeys for innovative companies. The role involves proposal development, requirements analysis, and future-ready architecture planning, with opportunities for skill mastery and industry understanding.

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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