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 Python Backend Developer

Company: SKYCATCHFIRE

Location: Anywhere in the World

Posted Feb 06, 2026

Sr. Data Analytics Engineer - HashiCorp

Company: IBM

Location: Multiple Cities

Posted Jan 07, 2026

This job description highlights a senior data analytics engineer role at IBM, focusing on transforming customer challenges into industry-leading solutions through cloud-native AI technologies. The position involves developing self-service tools, data models, and reports to enable data-driven decision-making while collaborating with subject matter experts.

Expert Labs Delivery Consultant - Early Professional

Company: IBM

Location: Istanbul, TR

Posted Jan 07, 2026

This role offers opportunities to collaborate with clients, solve complex challenges using agile methods, and drive impactful solutions within a supportive team environment.

Business Analyst

Company: IBM

Location: Perth, AU

Posted Jan 07, 2026

IBM seeks a Business Analyst with expertise in Energy and Utilities, Agile methodologies, and data analytics. The role offers global opportunities to drive digital transformation and client engagement through cloud technologies and cognitive solutions.

Data Engineer-Data Platforms

Company: IBM

Location: Mumbai, IN

Posted Jan 07, 2026

This job description outlines a Big Data Engineer role at IBM Consulting, involving development of data solutions, infrastructure management, and collaboration with data scientists. Requirements include expertise in Hadoop, Spark, Python, and cloud technologies, with emphasis on scalable data processing and system optimization.

Data Engineer-Data Platforms

Company: IBM

Location: BANGALORE, IN

Posted Jan 07, 2026

The text describes a career in IBM Consulting focused on long-term client relationships, hybrid cloud and AI solutions, and innovation through collaboration with global partners. It highlights roles in data engineering, technical expertise, and career growth opportunities within a supportive culture.

Software Engineer (WordPress Developer)

Company: RebelCode

Location: Anywhere in the World

Posted Feb 09, 2026

Senior penetration tester

Company: IBM

Location: BANGALORE, IN

Posted Jan 07, 2026

IBM emphasizes innovation, security, and professional growth in its job offerings. The role involves penetration testing, threat modeling, and secure coding practices. The company promotes a collaborative environment with opportunities for career development and impactful problem-solving.

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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