Data Analysis Jobs

1,432,850 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 Scientist-Artificial Intelligence

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers to deliver technical and industry expertise to clients worldwide. The responsibilities include scaling an existing RAG code base for a production-grade AI application, requiring proficiency in prompt engineering, LLMs, Retrieval Augmented Generation, and programming languages like Python or Java. Experience with vector databases, AI frameworks, and cloud platforms is preferred.

Veeva Architect & Engineer

Company: IBM

Location: New York, US

Posted Dec 04, 2025

The job description outlines a role in IBM Consulting focused on partnering with clients to design and implement Veeva Development Cloud solutions. It requires expertise in Veeva, cloud computing, and life sciences regulatory frameworks. The role involves leading technical discovery, designing solutions, configuring Veeva Vaults, and mentoring junior resources.

PROCESS INNOVATION PROFESSIONAL-RECORD TO REPORT

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting emphasizing collaboration with global clients, digital transformation, and career growth. It outlines responsibilities in accounting and financial reporting, along with required qualifications and preferred skills. The role highlights innovation, mentorship, and a supportive work environment.

Application Developer-Asset Management

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on working with clients globally to improve hybrid cloud and AI solutions. The role involves leading project teams, applying technical expertise, and ensuring effective communication with clients. Required education includes a bachelor's degree, with a master's degree preferred. Technical expertise in IBM Maximo Asset Management, integration frameworks, and data management is required, with preferred experience in DevOps and Agile methodologies.

Quality Engineer-Data

Company: IBM

Location: BANGALORE, 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. The position requires strong communication, collaboration, and SQL skills, as well as experience with Azure Databricks and automation.

SuccessFactors Architect (f/m/x)

Company: IBM

Location: Zurich, CH

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers, collaborating with clients globally, and leading the design and optimization of the SuccessFactors platform to support HR transformation goals. The position requires expertise in SuccessFactors modules, HR processes, integration with third-party systems, and AI applied to the HR domain.

Package Consultant-SuccessFactors Talent Mgmt

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The text describes a career opportunity at IBM Consulting, focusing on a role as a Brand Technical Specialist. The role involves working closely with clients to develop strategies, build solutions, and deliver proof of concepts using IBM's technology platforms. The position requires technical expertise in areas such as recruiting data models, onboarding, and SAP SuccessFactors.

IBM Tech Sales Accelerator Program: Client Engineering AI Engineer Dubai - IBM MEA

Company: IBM

Location: ABU DHABI, AE

Posted Dec 04, 2025

The IBM Tech Sales Accelerator Program is a structured development path for ambitious graduates, offering hands-on training, mentorship, and real-world experience within IBM Client Engineering. Participants will work on pilot development, collaboration, customer engagement, and stay updated with industry trends and innovation.

Security Consultant - SIEM L3

Company: IBM

Location: Mumbai, IN

Posted Dec 04, 2025

The text describes a career in IBM Consulting, highlighting the collaborative and innovative work environment, the focus on hybrid cloud and AI, and the importance of continuous learning. It outlines the responsibilities of a role in the organization, including project implementation, security operations, and incident response. The required and preferred education and technical expertise are also mentioned.

Billing Analyst

Company: IBM

Location: QUEZON CITY, PH

Posted Dec 04, 2025

The text is a job description for a Billing Analyst role at IBM Consulting. It outlines the responsibilities, required skills, and qualifications for the position. The role involves handling various financial and customer-related tasks, such as order processing, invoicing, and dispute management. The ideal candidate should have a relevant degree, experience in account receivable processes, and proficiency in accounting software.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: Kochi, IN

Posted Dec 04, 2025

This role involves data analysis, collaboration with teams, and requires skills in Python, Spark, and cloud tools. It emphasizes teamwork and communication for technical and non-technical audiences.

Data Engineer - Databricks specialist

Company: IBM

Location: Vilnius, LT

Posted Dec 04, 2025

The job posting is for a Data Engineer with expertise in Databricks to design and optimize data processing frameworks. The role involves building streaming and batch data pipelines, optimizing performance, and supporting AI/ML workflows. Required skills include Python, PySpark, SQL, and experience with cloud platforms and Databricks.

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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