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.

Product Success Manager

Company: CommerceIQ

Location: USA

Posted Dec 20, 2025

The Product Success Manager role combines technical and commercial expertise to configure CommerceIQ platforms, guide customers, and drive adoption. It offers competitive compensation and benefits, ideal for professionals in SaaS environments.

Senior Fullstack Engineer I (Golang & React|Typescript)

Company: TrueML

Location: Argentina,Mexico

Posted Dec 20, 2025

TrueML, a mission-driven financial tech company, uses machine learning to enhance customer experiences for distressed borrowers. They seek a Senior Engineer to develop payments infrastructure, collaborate with UX teams, and contribute to innovative solutions. The role offers competitive compensation and a dynamic, inclusive work environment.

Distributed Systems Engineer (L4) - Data Platform

Company: Netflix

Location: USA

Posted Dec 20, 2025

This text describes Netflix's data platforms, teams, and job opportunities. It highlights their mission to innovate through data infrastructure, seeks engineers for distributed systems, and emphasizes diversity and inclusion. The content is factual with no overtly positive or negative tone.

Product Manager - Developer Tools

Company: Figma

Location: USA

Posted Dec 20, 2025

Figma seeks a Product Manager with 5+ years of experience to lead dev tools initiatives, emphasizing collaboration, problem-solving, and innovation. The role offers a competitive salary range, equity, and comprehensive benefits, with opportunities to impact user experiences through emerging technologies.

Support Solutions Engineer (L5) - Security,Privacy and Assurance

Company: Netflix

Location: USA

Posted Dec 20, 2025

Netflix's Engineering Support Organization aims to deliver excellent support experiences for developers, focusing on automation, security, and collaboration. The role requires expertise in infrastructure, customer service, and problem-solving, with a commitment to diversity and inclusion.

Staff Product Designer - Cloud Infrastructure

Company: Netflix

Location: USA

Posted Dec 20, 2025

This job posting highlights Netflix's opportunity to shape cloud infrastructure experiences, emphasizing innovation, technical challenges, and collaboration with cross-functional teams. The role offers impactful work on complex systems and aligns with Netflix's mission to entertain the world through cutting-edge engineering solutions.

Graduate Software Engineer - Open Source and Linux, Canonical Ubuntu

Company: Canonical

Location: Anywhere

Posted Dec 20, 2025

Canonical promotes itself as a leading open-source provider offering global remote engineering roles with challenging projects, competitive opportunities, and a collaborative culture. The job description highlights innovation, professional growth, and a strong emphasis on open-source contributions while outlining requirements and benefits for candidates.

Staff Data Scientist

Company: Webflow

Location: USA

Posted Dec 20, 2025

Webflow is seeking a Staff Data Scientist to drive insights and innovation for their remote-first platform. The role involves collaborating with cross-functional teams, analyzing customer data, and shaping product strategies. The company emphasizes trust, creativity, and equity while offering competitive compensation, equity, and comprehensive benefits.

Senior Data Scientist - Ads

Company: Reddit

Location: USA

Posted Dec 20, 2025

Reddit seeks a Senior Data Scientist to enhance their advertising platform through advanced data science and machine learning. The role offers remote work flexibility, competitive compensation, and benefits like healthcare, equity, and professional development opportunities. The team focuses on improving advertiser value and platform measurement while fostering innovation in ad technology.

Machine Learning Engineer (L5) - Ads

Company: Netflix

Location: USA

Posted Dec 20, 2025

The text provides information about Netflix's global services, membership statistics, and a new ad-supported tier. It outlines the Creative team's mission to develop AI-generated ads, details job responsibilities and requirements, and describes compensation and benefits packages. The content is factual and neutral in tone.

Lead Product Marketing Manager - Margin Trading

Company: Kraken

Location: USA

Posted Dec 20, 2025

Kraken promotes crypto adoption with a mission-driven team, offering roles in product marketing for advanced trading platforms. Emphasizes innovation, security, and global expansion.

Staff Product Manager, Growth — New User Acquisition

Company: Reddit

Location: USA

Posted Dec 20, 2025

This job posting highlights a senior product management role at Reddit focused on driving user growth through search engine optimization and cross-functional collaboration. The position offers opportunities to shape platform strategy, work with engineering teams, and contribute to innovative product development. Key qualifications include experience with large-scale product management, analytical skills, and a growth mindset. Benefits include comprehensive healthcare, equity, and flexible work arrangements.

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.

Related Pages

© 2026 Job Transparency. All rights reserved.