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.

Senior DevOps Engineer

Company: Little Thinking Minds

Location: Amman

Posted Dec 20, 2025

Little Thinking Minds focuses on making Arabic learning engaging through digital platforms, targeting K12 students. The Senior DevOps Engineer role involves cloud infrastructure, CI/CD pipelines, and security, with a hybrid Amman, Jordan location.

Practitioner Campaign Associate

Company: American Specialty Health Incorporated

Location: Remote

Posted Dec 20, 2025

This job posting highlights a dynamic role at American Specialty Health, emphasizing opportunities to support practitioner recruitment, expand networks, and contribute to empowering individuals. It outlines remote work considerations, responsibilities, qualifications, and core competencies required for the position, while promoting equal opportunity employment.

Accounts Receivable Intern – Q2C (Quote-to-Cash)

Company: IBM

Location: Armonk, US

Posted Dec 20, 2025

This job posting outlines an Accounts Receivable AR Intern role with responsibilities including managing receivables, collaborating with cross-functional teams, and improving financial performance. It lists required skills like Excel proficiency and accounting principles, along with preferred qualifications such as analytical mindset and presentation skills.

Líder de PLM

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

This text describes a career in IBM Consulting, emphasizing long-term client relationships, innovation in hybrid cloud and AI, and opportunities for professional growth. It outlines responsibilities focused on Product Lifecycle Management (PLM) and highlights required skills like agile methodologies and technical expertise in PLM tools. The role involves collaborative work with multidisciplinary teams and offers a hybrid work model with locations in São Paulo.

SAP HANA FIN FI Consultant -Group Reporting

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

This text describes a career in IBM Consulting focused on hybrid cloud and AI solutions, emphasizing collaboration with global clients, technical expertise, and opportunities for impactful work. It outlines role responsibilities, required skills, and professional development in SAP technologies.

Service Management Lead

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

The text describes a career in IBM Consulting emphasizing collaboration with global clients, innovation in hybrid cloud and AI, and opportunities for growth through strategic partnerships and technology platforms. It outlines responsibilities in service management, process standardization, and integration of tools like ServiceNow, requiring expertise in ITIL/SRE frameworks and a hybrid work model.

SAP FI - FSCM Consultant (Credit Management & Serrala)

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

The text describes a career opportunity at IBM Consulting focusing on hybrid cloud and AI solutions, emphasizing collaboration, innovation, and professional growth. It outlines responsibilities as an SAP FI Consultant, including project support, customization, testing, and stakeholder management, while highlighting the company's culture of empathy and long-term development.

Product Manager

Company: LI.FI

Location: EMEA

Posted Dec 20, 2025

This job description outlines a Product Manager role focusing on B2B2C product development, requiring 5+ years in crypto/blockchain and collaboration skills. Benefits include flexible work, equity, and global team events.

Arquiteto(a) de Infraestrutura em SRE e Observabilidade

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

The text describes a role in IBM Consulting focused on hybrid cloud and AI innovation, emphasizing collaboration with clients, technical expertise, and strategic growth opportunities. It outlines responsibilities in observability, SRE, DevOps, and ServiceNow integration, requiring skills in monitoring, automation, and system reliability.

Senior Technical Architect

Company: IBM

Location: Dallas, US

Posted Dec 20, 2025

This text promotes a career in IBM Consulting, emphasizing opportunities to work with leading companies on hybrid cloud and AI projects, leveraging advanced technologies, and fostering innovation through collaboration and growth-focused culture.

Data Engineer-Business Intelligence - 5658124

Company: IBM

Location: NO City, BR

Posted Dec 20, 2025

The text describes an AI engineering role at IBM Consulting, emphasizing collaboration, innovation, and career growth. It highlights opportunities to develop AI solutions, work with global teams, and contribute to technological advancements through hybrid cloud and AI initiatives.

Technical SME Project Manager

Company: IBM

Location: Multiple Cities

Posted Dec 20, 2025

IBM Consulting offers long-term client relationships and collaboration opportunities, focusing on hybrid cloud and AI solutions. The role involves technical oversight and project management for SAMHSA's infrastructure, requiring expertise in AWS and SAMHSA applications.

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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