Data Analysis Jobs

1,433,242 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.

Product Manager

Company: IBM

Location: Markham, CA

Posted Dec 04, 2025

Turbonomic's platform enables IT organizations to automate resource management and transform operations through full-stack automation. The role requires a Technical Product Manager with expertise in public cloud, container platforms, and DevOps tools to drive product innovation and customer value.

Assistente Financeiro Pleno - Hortolândia

Company: IBM

Location: HORTOLANDIA, BR

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role in payment processing and bank reconciliation. It highlights the importance of organization, analytical skills, communication, proactivity, and financial knowledge. The position offers opportunities for growth and development in a supportive environment.

ACCOUNT TECHNICAL REPRESENTATIVE-TALENT TRANSFORMATION

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role in SAP HR Management System. It highlights the importance of knowledge in SAP HR, strong communication skills, and the ability to work with diverse priorities. The role involves inputting employee data, running reports, and providing solutions to issues.

Senior Python Developer (Lead)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The job description outlines a role in IBM Consulting focused on designing, developing, and maintaining scalable backend services using Python and Kafka. The position requires 8+ years of Python experience, expertise in Kafka-based systems, and knowledge of cloud platforms, containerization, and data engineering. Collaboration with DevOps and Data Engineering teams is emphasized.

Senior Data Engineer DataStage with French

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The job posting is seeking an experienced ETL Developer to design and build ETL solutions using IBM Infosphere DataStage. The role involves designing, implementing, and maintaining ETL data flows, collaborating with business analysts, optimizing data flows, ensuring data quality, and developing shell scripts and SQL code. The position requires a bachelor's degree, proficiency in IBM DataStage and SQL, fluency in French and English, and at least 2 years of experience with cloud-based ETL platforms.

Project Manager-Workday

Company: IBM

Location: Kolkata, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers, delivering technical and industry expertise to clients worldwide. As a Project Manager, responsibilities include functional/technical expertise, project planning, setup of HCM modules in Workday, tracking project status, and managing client relationships. The role requires 10+ years of technical/functional experience, strong communication skills, and familiarity with AI-based project management tools.

Technology Expert Labs - Delivery Consultant

Company: IBM

Location: Seoul, KR

Posted Dec 04, 2025

The IBM Technology Expert Labs team offers a rewarding career delivering world-class services to clients. As a Delivery Consultant, you will work closely with clients to design, deliver, and optimize IBM technology solutions. The role requires expertise in data and AI technologies, programming, and machine learning. The company provides excellent onboarding, a collaborative culture, and opportunities for career growth.

Data Engineer - BI

Company: IBM

Location: NO City, BR

Posted Dec 04, 2025

This job description outlines a role at IBM Consulting's Client Innovation Centers, focusing on delivering technical expertise in data engineering and analytics. The position requires experience with tools like Databricks, Delta Lake, and Apache Spark, along with agile methodologies and collaboration with stakeholders. Key skills include Python, SQL, and Git, with emphasis on data governance and innovation.

Technology Lifecycle Services Reals Intern – Entry Level Sales Program 2026

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes an internship opportunity with IBM's Technology Lifecycle Services team. The role involves supporting renewals and expansions, identifying opportunities for service uplift, collaborating with internal teams, and learning to use IBM sales tools. The internship aims to provide hands-on experience in sales strategy, client engagement, and internal collaboration within a global technology company.

Package Consultant-SuccessFactors Talent Mgmt

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, technical expertise in hybrid cloud and AI, and opportunities to drive innovation through IBM's technology platforms and partner ecosystem.

Full Stack Developer Intern

Company: IBM

Location: Antwerpen, BE

Posted Dec 04, 2025

This text promotes an IBM Consulting internship offering professional growth, collaboration with global clients, technical skill development, and exposure to innovative technologies. It emphasizes career advancement, mentorship opportunities, and a culture of continuous learning.

(2026 Campus Hire) Associate Package Consultant | Apply by Jan. 2, 2026

Company: IBM

Location: Taipei, TW

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on assisting clients with application package solutions like SAP, Oracle, Salesforce, Workday, and Peoplesoft. The role involves selection, implementation, and support of these solutions, leveraging design thinking and business knowledge to drive solutions for clients.

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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