Data Analysis Jobs

Positions 1,433,242 Updated daily

Data analysis is the backbone of modern business decisions. In 2024, companies across finance, healthcare, e‑commerce, and tech are hiring analysts to turn massive datasets into actionable insights. According to industry reports, the demand for analytics talent has risen 32% year‑over‑year, with startups and Fortune 500 firms alike investing in data teams.

Key roles include Business Intelligence Analyst, Data Analyst, and Analytics Consultant. Typical duties involve cleaning and normalizing data with SQL and Python, building interactive dashboards in Tableau or Power BI, performing statistical tests in R, and creating predictive models in scikit‑learn. Analysts also translate findings into clear stories for stakeholders.

Salary transparency is critical for Data Analysts because it aligns compensation with the complex skill set required to transform raw data into strategic decisions. Knowing the market baseline helps analysts negotiate fair pay, avoid undervaluation, and focus on career growth rather than hidden negotiations.

Data Engineer-Enterprise Content Management

Company: IBM

Location: BANGALORE, IN

Posted Jan 07, 2026

The text describes a career in IBM Consulting emphasizing long-term client relationships, collaboration, and innovation. It highlights opportunities to work with leading companies on hybrid cloud and AI projects, along with professional growth and technical expertise development.

Data Services Developer Intern (May 2026 - 4 month term - Toronto or Ottawa)

Company: IBM

Location: Multiple Cities

Posted Jan 07, 2026

IBM Consulting offers career opportunities focused on innovation, collaboration with global clients, and career growth. The role emphasizes technology transformation, agile methodologies, and impactful solutions. Requirements include technical skills in cloud computing, AI, and DevOps, with a preference for Agile development and design thinking. The position is a 4-month work term in Toronto or Ottawa for students pursuing postsecondary education.

Data Engineer-Data Platforms-Azure

Company: IBM

Location: BANGALORE, IN

Posted Jan 07, 2026

This job description outlines a Data Engineer role at IBM Consulting, requiring expertise in big data technologies like Spark, Hadoop, and Azure Cloud platforms. Responsibilities include developing data pipelines, working with NoSQL databases, and collaborating in Agile environments. The position emphasizes experience with cloud ecosystems, DevOps, and data engineering tools.

Supply Assurance intern 2026

Company: IBM

Location: GUADALAJARA, MX

Posted Jan 07, 2026

The role involves collecting metrics, preparing reports, supporting process improvements, and data analysis. Required education includes a high school diploma or university degree in relevant fields, along with analytical skills and proficiency in Excel.

Cyber Security Consultant - Strategy, Risk & Compliance

Company: IBM

Location: Multiple Cities

Posted Jan 07, 2026

The text promotes IBM CIC's career opportunities, highlighting benefits like professional growth, training programs, work-life balance, and a supportive work environment. It emphasizes innovation, collaboration, and career development for candidates in cybersecurity roles.

Data Engineer-Data Platforms-AWS

Company: IBM

Location: Pune, IN

Posted Jan 07, 2026

This job description outlines a Data Engineer role at IBM Consulting, requiring expertise in big data technologies like Spark, Python/Scala, and Azure cloud platforms. Responsibilities include developing data solutions, building pipelines, and working with Hadoop and NoSQL databases. The position demands a bachelor's degree and 4+ years of experience in data engineering.

Development Manager - IBM Storage Software

Company: IBM

Location: Pune, IN

Posted Jan 07, 2026

This job description outlines a leadership role in storage and distributed systems engineering at IBM, requiring expertise in enterprise storage, team management, and technical leadership. Responsibilities include overseeing software development, ensuring system reliability, and collaborating across global teams.

Platform Team Lead

Company: IBM

Location: Multiple Cities

Posted Jan 07, 2026

The text describes a role at IBM Consulting involving leadership in platform operations, collaboration on hybrid cloud and AI initiatives, and expertise in cloud environments and DevOps. It emphasizes innovation, growth opportunities, and technical proficiency requirements.

Associate Package Consultant – SAP HANA Analytics

Company: IBM

Location: BALLARAT, AU

Posted Jan 07, 2026

IBM Consulting seeks SAP Package Consultants to drive enterprise transformations using SAP technologies. The role involves client collaboration, system modernization, and agile methodologies, requiring STEM degrees and SAP expertise.

Application Consultant-ServiceNow

Company: IBM

Location: Bhubaneswar, IN

Posted Jan 07, 2026

The 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 strategic partnerships and technology platforms. It outlines role responsibilities, required education, and technical skills needed for the position.

Application Developer-Cloud FullStack

Company: IBM

Location: BANGALORE, IN

Posted Jan 07, 2026

This text describes a developer role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in cloud and AI technologies, and responsibilities involving cloud application development, automation tools, and microservices. It highlights required skills in Java, Spring frameworks, CICD tools, and test automation, while showcasing opportunities for innovation and impactful work in a strategic partner ecosystem.

IT Support Specialist

Company: IBM

Location: BANGALORE, IN

Posted Jan 07, 2026

This job description outlines the role of a Technical Support SpecialistAdvisor, emphasizing responsibilities such as providing technical services, ensuring customer satisfaction, and maintaining professional communication. It lists required skills like Windows support experience, problem-solving abilities, and knowledge of operating systems, while also highlighting preferred qualifications and collaboration expectations.

Frequently Asked Questions

What are typical salary ranges for Data Analysis roles by seniority?
Entry‑level Data Analysts earn $65k–$85k, mid‑level $85k–$115k, senior $115k–$150k, and analytics leaders or managers range $140k–$190k. These figures reflect U.S. averages and vary by region and industry.
Which technical skills and certifications are most valuable for Data Analysis professionals?
Strong proficiency in <strong>SQL</strong>, <strong>Python</strong>, <strong>R</strong>, and spreadsheet modeling is essential. Building dashboards in <strong>Tableau</strong> or <strong>Power BI</strong>, working with cloud warehouses like <strong>Snowflake</strong> or <strong>BigQuery</strong>, and knowledge of statistical testing are core. Certifications such as Certified Analytics Professional (CAP), Google Data Analytics Professional Certificate, Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist, and AWS Certified Data Analytics – Specialty boost credibility.
Is remote work common for Data Analysis positions?
Yes—over 70% of listings on jobtransparency.com offer full‑remote or hybrid models. Remote analysts frequently use cloud data platforms (Snowflake, BigQuery), version control (Git), and collaboration tools like Slack and Microsoft Teams to maintain data integrity and stakeholder communication.
What career progression paths are available for Data Analysis talent?
Typical growth moves from Junior Analyst to Senior Analyst, then to Analytics Lead or Manager, and ultimately to Director of Analytics or VP of Data. Specializations such as predictive modeling, data engineering, or product analytics create additional advancement opportunities, especially when coupled with continuous learning and certifications.
What industry trends are shaping the future of Data Analysis?
Key trends include real‑time stream analytics, AI‑augmented analytics that automate insights, growing adoption of cloud data lakes and lakehouses, heightened focus on data governance, privacy compliance, and the need for explainable AI dashboards that blend statistical rigor with narrative storytelling.

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