Data Analysis Jobs

1,432,691 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.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

The role of an Associate Software Developer at IBM involves working in a Client Innovation Center, collaborating with diverse teams, implementing predictive models, designing enterprise search applications, and building data integration programs. The position requires a Bachelor's degree, expertise in Azure Databricks, Python, SQL, and Azure DevOps, and strong communication skills.

Enterprise Intel and Crisis Analyst

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a role focused on expanding crisis management operations across an enterprise, improving capabilities, and applying AI to enhance efficiency. It requires strong leadership, communication, and decision-making skills, along with experience in crisis management and understanding of regional dynamics.

Business Transformation Consultant - Entry level

Company: IBM

Location: Bedford, CA

Posted Dec 04, 2025

This job description outlines a role in IBM Consulting, focusing on client collaboration, technology innovation, and project management. It highlights required skills and responsibilities, emphasizing strategic impact and technical expertise.

IBM Innovation Studio Manager

Company: IBM

Location: Tokyo, JP

Posted Dec 04, 2025

IBM Japan is looking for an experienced studio leader to join their marketing communications and CSR team. The role involves developing and executing a studio strategy to drive brand awareness, generate leads, and achieve business goals. The ideal candidate should have a marketing degree, 5+ years of sales or consulting experience, and 5+ years of people management experience. Strong leadership, strategic planning, innovative thinking, and excellent communication skills are required.

Genesys Consultant and Team Lead

Company: IBM

Location: Giza, EG

Posted Dec 04, 2025

The text describes a career in IBM Consulting, focusing on delivery leadership, solution architecture, client management, requirements design, cross-functional team coordination, contact center platform expertise, and continuous improvement. It highlights the role's responsibilities, required education, technical expertise, and preferred experience in contact center transformation programs and Genesys Cloud CX solutions.

Application Developer-ReactJS

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

This job description outlines a role at IBM Consulting's delivery centers, focusing on technical expertise in frontend development, problem-solving skills, and requirements for JavaScript, ReactJS, and cloud technologies. It details educational qualifications and preferred experience in modern tools and frameworks.

Senior Managing Consultant SAP Treasury

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This job description outlines a senior SAP consultant role at IBM Consulting, emphasizing collaboration with global clients, expertise in SAP systems and hybrid cloud/AI solutions, and opportunities for professional growth through diverse projects and skill development.

Application Developer-RDBMS

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on the role of an Application Developer. It highlights the importance of teamwork, communication, and collaboration skills. The role involves translating system requirements into design and development, working in an agile environment, and collaborating with clients globally. The position requires a Bachelor's degree, strong knowledge of database design and development using PL/SQL, proficiency with Oracle databases, and experience in SQL tuning and optimization.

Data Scientist (m/w/d) mit guten Deutschkenntnissen

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. Data Scientists at IBM work on solving business problems using leading-edge tools and technologies, with a focus on data analysis, model development, and communication of results to both technical and non-technical audiences.

Oracle DBA L2

Company: IBM

Location: Navi Mumbai, IN

Posted Dec 04, 2025

The job description outlines the responsibilities of an Oracle DBA L2, including monitoring database health, managing user access, handling backups and recovery, troubleshooting issues, and collaborating with teams. It also lists the required and preferred education and experience.

System Database Administrator: IDMS - Mainframe COBOL

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as an IDMS Database Administrator. The role involves working with clients, assisting with modernization conversion projects, and resolving issues related to IDMS and COBOL. The position requires excellent understanding of IDMS, COBOL programming skills, and experience in database administration and performance tuning.

Mainframe System Administrator Apprentice

Company: IBM

Location: Dallas, US

Posted Dec 04, 2025

IBM offers an apprenticeship program for aspiring mainframe system administrators. The program provides hands-on experience, training, and mentorship to develop skills in mainframe computing, system administration, and related technologies. Apprentices work collaboratively in teams, contribute to projects, and earn digital credentials upon completion.

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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