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.

Security Consultant - Opswat

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

This job description outlines a cybersecurity role at IBM Consulting, focusing on Opswat integration, client collaboration, and compliance. It requires a bachelor's degree, 25 years of experience, and expertise in secure content management.

Manager - Finance and Administration Delivery - Record to Report

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role in IBM BPO that accelerates digital transformation using agile methodologies, process mining, and AI-powered workflows. The role involves managing client engagements, relationships, and operations support, with a strong emphasis on thought leadership, analytics, and driving productivity and efficiency.

Business Intelligence and Analytics Senior Managing Consultant

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The role involves deploying modern SAP Analytics Reporting offerings, working directly with customers, leading project teams, and supporting sales activities. The candidate should have strong experience managing SAP Analytical and Reporting workstreams, proven experience leading full lifecycle implementation projects, solid knowledge in FP&A, and hands-on experience with SAP Analytics technologies.

Software Developer - Data

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The job posting seeks an experienced Data Developer with expertise in Data Engineering, ETL, ELT, DataStage, PL/SQL, and Java. The role involves designing, developing, and maintaining scalable applications, integrating with messaging systems, and contributing to modernization initiatives using AI-driven approaches.

Application Architect - Defence

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM CIC offers a career with opportunities to work with leading professionals, deliver effective solutions, and drive business change using the latest technology platforms. The company provides training, promotion opportunities, diversity and inclusion, work-life balance, and traditional benefits. They seek an experienced Application Architect specializing in Java and web technologies to lead the design and development of enterprise applications.

Salesforce Technical Architect - Public Sector (State and Local Govt)

Company: IBM

Location: No City, US

Posted Dec 04, 2025

The text describes a role within IBM's Salesforce Practice team, focusing on State & Local Government clients. The position involves shaping and proposing innovative solutions using Salesforce, IBM Consulting AI, and Asset-based capabilities. The role requires deep platform expertise, understanding of client needs, and procurement processes. Responsibilities include collaborating with teams, designing solutions, delivering presentations, leading discovery sessions, providing expertise on best practices, and mentoring junior resources.

Fullstack Python developer

Company: IBM

Location: Vilnius, LT

Posted Dec 04, 2025

The role involves designing and developing software solutions for hybrid cloud and AI, requiring expertise in Python, databases, and Agile practices. It emphasizes technical skills, cloud certifications, and collaboration in innovation centers worldwide.

Software Development manager-Python & AI Development

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM Infrastructure is a catalyst that enables the world to function better by providing hybrid cloud infrastructure to meet clients' demands. The role involves leading a team of engineers to design and develop AI-based features, optimize existing products, and drive out-of-box performance for key workloads. The position requires strong leadership skills, technical expertise, and a track record of delivering complex projects.

Workday HCM & Compensation Consultant

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting as a Workday Consultant. The role involves working with clients globally to improve hybrid cloud and AI solutions. The consultant will lead and implement expert services using IBM's offerings and technologies, focusing on user experience, performance, reliability, and scalability. The position requires at least 5 years of experience in Workday, agile experience, and Workday certification.

Data Scientist

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

IBM's CIO Technology Platform Transformation team focuses on modernizing infrastructure with AI and cloud computing, driving innovation and enhancing cybersecurity. The role involves developing AI solutions, collaborating across departments, and ensuring scalable, ethical tech implementations.

Java Developer - Japanese Bilingual

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

This role involves working with clients on hybrid cloud and AI projects, emphasizing collaboration, innovation, and career growth through technical expertise and strategic engagement.

Consultor SAP TM

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career in IBM Consulting, focusing on long-term relationships with clients, collaboration, and working with visionaries across industries. It highlights the importance of curiosity, continuous learning, and challenging the norm to drive innovation and impact. The role of an SAP TM Consultant is also mentioned, emphasizing client-centric solutions, expertise in SAP Transportation Management, and continuous improvement.

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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