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.

QA Automation Engineer

Company: IBM

Location: Krakow, PL

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on a role as a QA Quality Assurance Test Automation Developer. The position involves designing test plans, executing test cases, and implementing test automation in CICD pipelines. The role requires proficiency in Selenium, Python, API testing, and agile methodologies. It emphasizes collaboration with development teams and delivering quality software products.

Associate X-Force Incident Response Intern 2026

Company: IBM

Location: Austin, US

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. The company values curiosity, knowledge, and creative problem-solving. They are seeking interns for their XForce Incident Response team, partnering with Fortune 1000 clients to minimize security incident revenue loss. Positions are available in Austin, TX, starting summer 2026.

Gestor Documental - Portugues

Company: IBM

Location: Bogota, CO

Posted Dec 04, 2025

The text describes a professional role requiring expertise in contract management, document organization, and compliance. It outlines responsibilities such as contract lifecycle management, coordination with legal and finance teams, and digitalization projects. Required skills include legal knowledge, document management tools, and experience in regulated sectors.

PROCESS DELIVERY SPECIALIST-LEAD TO CASH

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Process Analyst in the Order to Cash (O2C) domain. The role involves processing accounts receivable, preparing journal entries, reconciling accounts, and meeting client service level agreements. The position requires a bachelor's degree, preferably a master's degree, and experience in enhancing cash application automation and reducing complexity in assigned accounts.

Package Consultant-SAP HANA FIN TR

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on SAP FIN TR modules. It highlights the role's responsibilities, required education, and technical expertise. The position involves working with clients globally, delivering technical expertise, and driving innovation.

Vendor Risk Management Specialist

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM's procurement role emphasizes innovation, digital transformation, and collaboration with clients. The position requires managing compliance, communication, and process optimization while leveraging AI and emerging technologies in a dynamic environment.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This role involves accounting responsibilities with clients, emphasizing collaboration and career growth opportunities at IBM Consulting.

Backend Support Engineer

Company: IBM

Location: GUADALAJARA, MX

Posted Dec 04, 2025

IBM Infrastructure is a catalyst that enables the world to work better by providing hybrid cloud infrastructure to meet clients' demands. The role of a Backend Developer involves leading problem resolution, collaborating with teams, and designing automation tools. Required skills include software development expertise, Linux experience, and problem-solving abilities.

Senior SAP Project Manager | Complex Delivery & Governance

Company: IBM

Location: AMSTERDAM, NL

Posted Dec 04, 2025

The text describes a highly experienced SAP Project Manager with 15+ years of expertise in delivering complex SAP programs across global enterprises. The individual is skilled in managing end-to-end project lifecycles, multivendor delivery models, and seamless integrations across SAP and non-SAP landscapes. They are recognized for strong execution control, risk mitigation, and ability to drive successful cutovers, testing cycles, and phased deployments.

IBM Uruguay Students Program

Company: IBM

Location: MONTEVIDEO, UY

Posted Dec 04, 2025

The text is an introduction to IBM's internship program, highlighting the company's focus on innovation, collaboration, and tackling challenging problems. It outlines the roles and responsibilities of interns, required education, and preferred technical and professional expertise.

SAP ABAP Developer

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

This role involves working as a senior SAP ABAP Developer in IBM Consulting, collaborating with clients to deliver high-quality solutions and act as a trusted business advisor. The position requires expertise in SAP configuration, process knowledge, and experience with SAP S4HANA. Familiarity with cloud computing platforms, Agile methodologies, and industry knowledge are also preferred.

Application Consultant-Banking

Company: IBM

Location: Taipei, TW

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, highlighting the role of an Application Consultant who works closely with clients to improve their hybrid cloud and AI journey. The position requires strong technical skills, experience in system analysis and design, and the ability to develop proposals, analyze requirements, and plan future architecture. The role offers opportunities for learning, working across disciplines, and developing a deep understanding of different industries.

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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