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.

Data Consultant-Data Governance

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

This job description outlines an entry-level Package Consultant role at IBM Consulting, focusing on assisting clients with technology solutions, delivering technical expertise, and supporting data governance initiatives. Responsibilities include implementation support, workshops, and process mapping, with requirements emphasizing education and technical skills in data management tools.

Data Scientist-Artificial Intelligence

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

This job description outlines an AI Data Scientist role at IBM Consulting, focusing on developing AI solutions using cutting-edge technologies like foundation models and large language models. The position emphasizes collaboration with clients, innovation in technology adoption, and expertise in programming languages such as Python. Required skills include experience with AI frameworks, cloud platforms, and code translation tools, along with a growth mindset and commitment to continuous learning.

Senior Data Engineer Python and AWS

Company: IBM

Location: Multiple Cities

Posted Dec 04, 2025

The text is a job description for a Senior Data Engineer role at IBM Consulting. It highlights the responsibilities, required education, and technical expertise needed for the position. The role involves designing, developing, and maintaining large-scale data pipelines using AWS technologies, collaborating with cross-functional teams, and ensuring high-performance and scalability.

Data Scientist-Advanced Analytics

Company: IBM

Location: Hyderabad, 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 Data Engineer, you will harness data to uncover insights, collaborate with diverse teams, and implement predictive models, enterprise search applications, and statistical models. The role requires a Bachelors Degree and expertise in COBOL, JAVA, and code generation using LLM capabilities.

Data Engineer-Data Platforms-AWS

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers to deliver deep technical and industry expertise to clients worldwide. The Data Engineer will develop, maintain, evaluate, and test big data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform. The role requires experience in building data pipelines, processing data with Spark, developing efficient software code, and working with Hadoop and AWS ecosystem components.

Data Scientist-Advanced Analytics

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. As a Data Engineer, you will harness data to uncover insights, collaborate with diverse teams, and implement predictive and statistical models. Preferred experience includes COBOL, JAVA, and code generation using LLM capabilities.

Data Engineer-Data Integration

Company: IBM

Location: Hyderabad, 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 Data Engineer, you will harness data to uncover insights, collaborate with diverse teams, and implement data pipelines using various tools and technologies.

Manager – Financial Planning & Analysis (FP&A)

Company: IBM

Location: BANGALORE, IN

Posted Dec 04, 2025

The role involves financial planning, collaboration with clients, and leveraging technology for growth. It emphasizes innovation, process improvement, and career development opportunities.

Data Engineer-Data Platforms-Azure

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 a graduate degree in a quantitative field, 7+ years of data engineering experience, and 4+ years of experience with Azure technology services and Python. Mandatory skills include PySpark, PLSQL, Spark SQL, SQL DB, and experience with various Azure services and databases.

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 Delivery Center, collaborating with diverse teams to gather, store, and process data using various technologies. The position requires implementing predictive models, designing enterprise search applications, and working in an Agile environment. Required skills include Azure Databricks, Python, SQL, and Github, while preferred experience includes teamwork, communication, and analytical problem-solving.

Data Engineer-Data Platforms-AWS

Company: IBM

Location: Pune, IN

Posted Dec 04, 2025

The role involves working in IBM Consulting Client Innovation Centers Delivery Centers to deliver deep technical and industry expertise to clients worldwide. The Data Engineer will develop, maintain, evaluate, and test big data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform. The role requires experience in building data pipelines, processing data with Spark, developing efficient software code, and working with Hadoop and AWS ecosystem components.

Data Consultant-Data Governance

Company: IBM

Location: Pune, 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 Data Engineer, you will harness data to uncover insights, collaborate with diverse teams, and implement predictive and statistical models. The role requires experience in data integration, data governance, and leveraging Alation and Manta platforms.

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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