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.

Package Consultant-SuccessFactors Talent Mgmt

Company: IBM

Location: Gurgaon, IN

Posted Dec 04, 2025

This text describes a career in IBM Consulting, emphasizing collaboration with global clients, innovation in hybrid cloud and AI solutions, and the opportunity to drive technological adoption. It outlines responsibilities involving strategy development, proof of concept delivery, and building trust through consultative methods.

Entry Level Hardware Developer

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

IBM is seeking Hardware Development Engineers to work on cutting-edge technologies like quantum computing and AI. The role involves designing, testing, and supporting hardware, firmware, and semiconductors for IBM products. The company values growth-minded, team-focused, and outcome-oriented individuals with strong technical skills and a passion for technology.

Package Consultant-SAP FIN FI

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This role involves collaborating with clients on SAP FI implementation, leading projects, and requiring a bachelor's degree with SAP experience. The position emphasizes technical expertise, innovation, and working with global clients through IBM's delivery centers.

Sr. Data Analytics 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 Sr Data Analytics Engineer. The role involves developing data models, reports, and dashboards to enable data-driven decision making for business stakeholders. Success is measured by reduced time for self-service insights, high adoption of data products, and reliable data solutions.

PROCESS DELIVERY SPECIALIST-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This role involves working with clients on digital transformation projects, handling accounting tasks, and requiring experience in R2R processes. IBM Consulting offers growth opportunities and a supportive environment.

Application Developer-SAP ABAP

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

IBM Consulting offers a career rooted in long-term relationships and collaboration with global clients. The role involves working with visionaries across industries to improve hybrid cloud and AI journeys. IBM provides a culture of evolution, empathy, and continuous learning, with opportunities for career growth and development.

Software Development Engineer - HashiCorp Nomad

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Software, focusing on contributing to HashiCorp's offerings now part of IBM. The role involves building and maintaining Nomad, a distributed cluster orchestrator, and working on next-generation distributed systems for orchestration. The position requires expertise in software development, cluster orchestrators, and container technologies.

SAP Solution Architect (Data)

Company: IBM

Location: AMSTERDAM, NL

Posted Dec 04, 2025

The text is a job description for an SAP Data Expert role at IBM Consulting. The role involves managing data migration activities, implementing master data governance solutions, and utilizing batch data communication techniques. The ideal candidate should have a strong background in SAP technologies, data management, and problem-solving skills.

Recruiter, IBM Consulting

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for a recruitment role at IBM. It outlines the responsibilities, required skills, and qualifications for the position. The role involves collaborating with hiring managers, sourcing and qualifying candidates, managing the recruitment process, and maintaining compliance with recruitment workflows.

Infrastructure Specialist-Cloud Data Platform Managed Services

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The job posting is for an experienced Kafka Administrator to join a team and manage enterprise-grade Kafka environments. The role requires expertise in Confluent Platform, Kubernetes/OpenShift, and Kafka security configurations. Responsibilities include administering Kafka clusters, deploying Confluent Platform using CFK, implementing Kafka security, configuring ClusterLink and Replicators, setting up ActivePassive clusters, integrating Confluent Connectors, working with CDC connectors, collaborating with development teams on Python/Spring Boot Kafka applications, utilizing GitHub, GitHub Actions, and ArgoCD for CI/CD and automation, and monitoring and optimizing Kafka performance and reliability.

IBM Financing Pricing (Japanese Speaking)

Company: IBM

Location: PETALING JAYA, MY

Posted Dec 04, 2025

The IBM Financing Pricing Team develops and manages pricing strategies for IBM's financing solutions. The role involves collaborating with sales and finance functions to structure competitive, profitable deals while ensuring compliance and supporting FiTTER's mission to protect, manage, and grow IBM's Free Cash Flow. The position requires strong financial and analytical capabilities, Japanese language proficiency, and excellent communication and problem-solving skills.

AI / AIOps Architect (m/w/d)

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the collaborative and innovative work environment, opportunities for growth and development, and the role of an AI AIOps Architect in designing and implementing cognitive solutions using various technologies and tools.

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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