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.

【東京】AWSプロジェクトマネージャー

Company: IBM

Location: Tokyo, JP

Posted Dec 23, 2025

This job description highlights a project management role at IBM focusing on AWS-based system development, client collaboration, and technological innovation. It emphasizes career growth opportunities, professional development, and the use of IBM's technology portfolio to drive business transformation.

Solution Architect

Company: IBM

Location: Houston, US

Posted Dec 23, 2025

The text describes a senior technical leadership role at IBM emphasizing innovation, strategic problem-solving, and impactful organizational change. It highlights responsibilities such as defining system architectures, leading technical decisions, and driving business outcomes through advanced analytics and technology adoption. Required expertise includes Databricks ecosystem proficiency, data governance, and consulting leadership skills with a focus on delivering measurable business results.

Market Counsel (General Counsel), IBM Australia/ New Zealand

Company: IBM

Location: SYDNEY, AU

Posted Dec 23, 2025

This text describes a senior legal role at IBM with opportunities to influence business strategy, ensure compliance, and drive innovation through global collaboration. It highlights career growth, leadership responsibilities, and the importance of balancing legal risk with strategic objectives in a dynamic environment.

Senior Product Manager

Company: IBM

Location: Multiple Cities

Posted Dec 23, 2025

This job description outlines a Senior Product Manager role requiring strategic leadership, technical expertise in data platforms, and cross-functional collaboration. It emphasizes experience with enterprise systems, financial modeling, and platform modernization while detailing responsibilities such as defining product vision and aligning teams.

Delivery Consultant - zLinux

Company: IBM

Location: Multiple Cities

Posted Dec 23, 2025

The text promotes a career at IBM Technology Expert Labs, emphasizing collaborative innovation, career growth, and impactful problem-solving for clients. It highlights technical expertise, cross-functional teamwork, and opportunities to work on complex projects with global teams.

Data Engineer-Data Integration

Company: IBM

Location: Pune, IN

Posted Dec 23, 2025

This job description outlines a role at IBM Consulting's delivery centers focusing on technical expertise in data warehousing, cloud technologies, and programming skills. It lists required qualifications including a bachelor's degree and preferred master's degree, along with technical proficiencies in tools like Informatica and Unix scripting.

Package consultant Intern - Commerce Transformation

Company: IBM

Location: Islamabad, PK

Posted Dec 23, 2025

This text promotes a career in IBM Consulting, emphasizing collaboration, innovation, and growth opportunities. It outlines responsibilities involving digital experience design, Adobe tools, and teamwork, while highlighting required skills and preferred experiences in technology and customer journeys.

Visual Design

Company: IBM

Location: Multiple Cities

Posted Dec 23, 2025

This job description highlights a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and client impact. Responsibilities include designing user experiences, working with cross-functional teams, and leveraging AI technologies. The role offers growth opportunities and a supportive culture.

Consultor Senior SAP FICO (S/4HANA)

Company: IBM

Location: Multiple Cities

Posted Dec 23, 2025

This job description highlights IBM Consulting's focus on long-term client relationships, hybrid cloud and AI solutions, and collaborative innovation. It outlines responsibilities in finance consulting, technical expertise requirements, and career development opportunities within a supportive culture.

Government and Policy Affairs Manager

Company: IBM

Location: CANBERRA, AU

Posted Dec 23, 2025

The text describes IBM's Legal Regulatory Affairs role, emphasizing innovation, integrity, and global collaboration. It outlines responsibilities involving government relations, policy influence, and supporting business growth through technology and compliance. Required qualifications include a bachelor's degree and expertise in government relations, with preferred skills in policy development and IT trends.

Data Engineer-Data Integration

Company: IBM

Location: Pune, IN

Posted Dec 23, 2025

This job description outlines a Software Developer role at IBM involving data analysis, collaboration with teams, and technical expertise in data integration. Responsibilities include predictive modeling, enterprise search applications, and Agile teamwork. Required skills involve ETL processes and Ab Initio tools, with preferred qualifications including a Master's degree and strong communication abilities.

AI Architect

Company: IBM

Location: New York, US

Posted Dec 23, 2025

The text describes a career in IBM Consulting emphasizing long-term client relationships, innovation in hybrid cloud and AI solutions, and professional growth opportunities. It outlines responsibilities like system design, data architecture leadership, and required expertise in cloud platforms, machine learning, and AI governance frameworks.

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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