Data Analysis Jobs

1,432,643 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.

Senior Data Engineer with Python

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for a role at IBM Consulting focusing on designing, building, and maintaining scalable cloud data and automation solutions using AWS and modern development frameworks. The role involves developing ETL pipelines, automating workflows, and collaborating with various teams to deliver robust infrastructure.

Entry Level Site Reliability Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This job description highlights opportunities to work on innovative AI-powered cloud-native solutions, collaborate in agile teams, and contribute to global growth at IBM. Responsibilities include system monitoring, troubleshooting, deployment, and maintenance, with requirements emphasizing technical expertise in automation, Linux, and cloud technologies.

Entry Level AI Software Engineer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job posting for an AI Software Engineer role at IBM's AI Center of Excellence. The role involves designing, developing, and implementing advanced AI solutions using IBM's Watsonx platform and pretrained models. The position requires experience in full stack development with a focus on AI, knowledge of backend technologies, web technologies, AIML frameworks, and cloud infrastructure. Collaboration skills and effective communication are also important.

Project Manager ADM

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This role involves working in IBM's delivery centers to deliver technical expertise and drive innovation. Responsibilities include managing projects, collaborating with stakeholders, and leveraging technology platforms. Required skills include SAP project management and ServiceNow experience.

SAP Data Lead

Company: IBM

Location: Chicago, US

Posted Dec 04, 2025

The text describes the role and responsibilities of an SAP Data Migration Lead in IBM Consulting. It highlights the importance of data migration in SAP projects and outlines the key tasks involved, such as project planning, data assessment, stakeholder collaboration, technical execution, testing, documentation, training, compliance, continuous improvement, and leadership. The role requires a bachelor's degree, preferably a master's degree, and hands-on experience in identifying and solving complex business problems, collaborating with data owners and analysts, working with data architects, leading technical aspects of SAP BI solutions, and experience in master data management with SAP MDG.

SOC Infrastructure Specialist

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The job description outlines the role of an IT Security Services Specialist in a Security Operations Center (SOC) supporting managed security services. The position involves working with a team to deploy, integrate, and maintain security infrastructure, manage vulnerabilities, and ensure compliance with policies and procedures. The role requires strong technical skills, experience with security solutions, and the ability to work effectively in a team.

Senior Strategy Consultant

Company: IBM

Location: WASHINGTON, US

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. The Senior Value Orchestrator role focuses on managing the value lifecycle, developing metrics, and ensuring program outcomes. The position requires 10+ years of experience in program performance measurement and strong analytical and communication skills.

Staff Solutions Engineer (HashiCorp)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on a role as a Staff Solutions Engineer for HashiCorp's offerings. The position involves providing technical leadership, strategic guidance, and deep expertise to help customers achieve their goals with HashiCorp solutions, particularly in multicloud and hybrid environments. The role requires extensive experience in technical presales, architecture, and consulting, with a focus on strategic influence, technical expertise, execution excellence, and communication skills.

Solutions Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This role involves presales support for IBM's cloud and AI solutions, emphasizing collaboration with clients and teams to drive innovation and career growth.

DevOps Developer

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM Infrastructure is a catalyst that makes the world work better by providing hybrid cloud infrastructure to meet clients' demands. The company values creativity, innovation, and collaboration across teams. The IBM Cloud Platform Services team is seeking an experienced DevOps Engineer to join their agile and modern team, responsible for researching, designing, and implementing highly secure and reliable cloud infrastructure using various technologies.

Gerente de Projetos – Foco em IA e Atendimento ao Cliente

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career in IBM Consulting emphasizing global collaboration, innovation in hybrid cloud and AI, professional growth, and technical expertise. It outlines responsibilities like project management, team leadership, and risk governance, along with required qualifications such as a bachelor's degree and experience as an AI project manager.

Power Systems Development - Operating Systems, AI Enablement

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Infrastructure is a catalyst that enables the world to work better by providing hybrid cloud infrastructure to meet the demands of heterogeneous environments, data explosion, digital automation, and cybersecurity threats. The company offers opportunities for software engineers, computer scientists, and computer engineers to develop applications, operating systems, performance management, and AI enablement for IBM Power systems. IBM values creativity, innovation, collaboration, and a growth-minded culture.

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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