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.

SAP Functional Consultant - RTR

Company: IBM

Location: Bedford, CA

Posted Dec 07, 2025

This job description highlights a career in IBM Consulting focused on SAP Finance expertise, global client collaboration, and innovation in hybrid cloud and AI. Responsibilities include SAP implementation, compliance, and cross-functional teamwork with emphasis on technical and industry expertise.

System Support Tech Apprentice

Company: IBM

Location: POUGHKEEPSIE, US

Posted Dec 07, 2025

IBM offers an apprenticeship program for Systems Support Apprentices to work with experienced engineers and mentors, applying hardware knowledge and learning new technologies. The program provides a nationally-recognized credential and the opportunity to apply for full-time roles at IBM upon completion.

Lead AI Architect

Company: IBM

Location: Multiple Cities

Posted Dec 07, 2025

The text describes a career opportunity at IBM Consulting as a Lead AI Architect specializing in AI and AIOps solutions. The role involves working with clients globally, demonstrating technical leadership, and providing strategic consulting to drive business value through innovative AI solutions.

Test and Failure Analysis Engineer for Storage Hardware

Company: IBM

Location: Houston, US

Posted Dec 07, 2025

This job description outlines a role within IBM's Infrastructure Storage Hardware Organization, focusing on hardware and firmware design, verification testing, and debugging for storage systems. Responsibilities include failure analysis, testing new platforms, and collaboration with development teams. Required skills involve hardware expertise, Linux experience, and communication abilities.

Security Consultant - SOAR

Company: IBM

Location: Mumbai, IN

Posted Dec 07, 2025

This job description outlines a role in IBM Consulting focused on security operations, requiring expertise in SIEM tools like Qradar, threat hunting, and SOC environments. It emphasizes collaboration, innovation, and career growth opportunities within IBM's technology ecosystem.

エンタープライズのお客様向け・パートナーセールス

Company: IBM

Location: Tokyo, JP

Posted Dec 07, 2025

This job posting highlights IBM's recruitment for a sales role focused on enterprise customers in finance, manufacturing, and retail. The position emphasizes collaboration with partners, innovative solutions, and building strategic technology partnerships. It outlines key responsibilities, required skills, and the company's commitment to growth and skill development.

Application Developer-Oracle Cloud Reports

Company: IBM

Location: BANGALORE, IN

Posted Dec 07, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. The consultant will serve as a client-facing practitioner, selling and implementing expert services using IBM's offerings and technologies. The role requires building, automating, and releasing solutions based on client priorities, exploring and resolving issues, and ensuring integration solutions meet client specifications and are delivered on time.

Application Developer-SAP Commerce

Company: IBM

Location: BANGALORE, IN

Posted Dec 07, 2025

The text describes a career opportunity at IBM Consulting, focusing on assisting clients with application packaged solutions like SAP, Oracle, Salesforce, and Microsoft Dynamics. The role requires expertise in Java, J2EE, Spring Frameworks, SAP Commerce Cloud, Hybris, and related technologies. A bachelor's degree is required, with a master's degree preferred. The position offers the chance to work with visionaries across industries and make meaningful changes for clients.

Package Consultant-SAP HANA SCM MM

Company: IBM

Location: BANGALORE, IN

Posted Dec 07, 2025

The text describes a career opportunity at IBM Consulting, focusing on working with clients globally to improve hybrid cloud and AI solutions. The role involves assisting clients in selecting, implementing, and supporting SAP Supplier Relationship Management and Materials Management modules. Required qualifications include a bachelor's degree and 8-12 years of SAP functional experience, with a specialization in SAP MM and HANA modules.

Senior Managing Consultant – SAP HANA SCM EWM

Company: IBM

Location: COPENHAGEN, DK

Posted Dec 07, 2025

This job description highlights a career in IBM Consulting with opportunities to work on innovative projects, collaborate with global clients, and develop expertise in SAP solutions. It emphasizes career growth, technical challenges, and the impact of the role on client success.

Full-Stack Engineer, Data platforms (GCP) H/F - IBM Client Innovation Center

Company: IBM

Location: Bois Colombes Cedex, FR

Posted Dec 07, 2025

The role of a Senior FullStack Engineer involves designing, building, and operating a next-generation software delivery platform. The engineer will work within an Agile team, contributing to automation pipelines, prompts, and governance mechanisms. Required skills include expertise in Python, TypeScript, React, SQL, CICD pipelines, Docker, Terraform, and cloud platforms like GCP or Azure. Familiarity with AI-assisted coding tools and LLMs is also preferred.

Intel and Crisis Analyst

Company: IBM

Location: BANGALORE, IN

Posted Dec 07, 2025

This role involves monitoring geopolitical risks, managing crises with AI tools, and coordinating global teams. Requirements include relevant degrees, experience in intelligence analysis, and proficiency in multiple languages.

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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