Data Analysis Jobs

1,433,242 open positions · Updated daily

Data Analysis is at the forefront of the digital transformation wave. Companies are investing heavily in dataโ€‘driven decision making, which drives a surge in demand for analysts who can turn raw data into actionable insights using tools like SQL, Python, R, Tableau and cloud data warehouses.

Within the Data Analysis spectrum youโ€™ll find roles such as Data Analyst, Business Intelligence Analyst, Data Analyst Manager and Analytics Consultant. Core responsibilities include data cleaning, exploratory analysis, building dashboards, creating predictive models, and translating findings into clear visual stories for stakeholders.

Salary transparency is especially valuable for data professionals because the market reward varies dramatically by skill set, industry and geography. Knowing the exact pay range for a role that requires, for example, Tableau and Snowflake expertise, lets you negotiate confidently and benchmark against peers.

Staff Content Designer - Evidence and Messaging Systems

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The role involves ensuring members have the right information to discover and decide on content. Success is measured by members effortlessly understanding if a title is right for them and seamlessly planning for and engaging with timely content.

Software Engineer L4/L5 - Model Serving Systems, Machine Learning Platform

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix promotes its leadership in entertainment services and AI innovation, highlighting opportunities for engineers to develop scalable systems and contribute to ML/AI advancements. The role emphasizes cross-functional collaboration, technical expertise, and comprehensive benefits.

Senior Software Engineer in Test (mobile)

Company: InPost

Location: Poland

Posted Nov 19, 2025

InPost is a European out-of-home delivery company with a large network of intelligent lockers, providing fast, convenient, and secure delivery options. They are committed to sustainable and efficient delivery solutions, with a focus on continuous quality improvements and test automation.

Application Security Engineer L4/L5

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Security Platforms Engineering team builds foundational security services and drives key Application Security initiatives. The role is for a Security Software Engineer with an Application Security focus, working remotely in Poland. The ideal candidate should have strong software development experience, deep application security expertise, and the ability to design scalable security solutions.

Manager - Data Protection

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is expanding globally and into new products like games. Netflix is committed to fostering user trust and transparency while balancing business needs. The Privacy & Data Protection Engineering team ensures responsible data use and provides confidence that privacy and security risks are managed across the company.

Support Solutions Engineer - Big Data (L5)

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Engineering Support Organization empowers Data Platform Engineering to scale customer support effectively. The role is a Support Solutions Engineer position based in Warsaw, requiring experience in big data technologies and customer-facing engineering support.

Data Scientist (L5) - Ads (Forecasting)

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They are creating a new lower-priced ads-supported tier and seeking founding members for this business area. The Ads Data Science and Engineering team aims to build the foundation of the ads business, conduct analyses, develop tools, and create predictive models to provide more choices for members and a better experience for advertisers.

Senior Software Engineer

Company: Snapsheet

Location: USA

Posted Nov 19, 2025

Snapsheet is an industry-leading tech company seeking a Senior Software Engineer to join one of two core teams. The company offers a modern, scalable platform for claims processing and is looking for a candidate with 5+ years of full-stack web development experience, proficiency in Ruby on Rails and React, and a commitment to quality and technology.

PCI Compliance Consultant

Company: TestPros

Location: USA

Posted Nov 19, 2025

TestPros is a growing IT services company seeking a PCI SME with expertise in compliance assessments and security standards. The role involves consulting, reporting, and team collaboration with competitive benefits and professional development opportunities.

Business Acceleration Partner

Company: Odaia Intelligence Inc.

Location: Remote

Posted Nov 19, 2025

ODAIA is a remote-first organization that partners with pharma commercial teams to grow brands and engage healthcare professionals. Their AI platform turns complex data into personalized insights, enabling informed decisions. They value simplicity, innovation, and building an egofree business. The Business Acceleration Partner role leads customer experience, focusing on data strategy, project planning, and ROI.

Machine Learning Scientist (L4/L5) - Studio Media Algorithms

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Studio Media Algorithms team focuses on innovation to enhance creator tools and increase member value. The company is seeking a Research Scientist with expertise in computer vision, natural language processing, or computer graphics to develop core algorithms for content creation tools.

Machine Learning Engineer 5 - Platform Forecasting & Optimization

Company: Netflix

Location: Remote

Posted Nov 19, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a Machine Learning Engineer to join their data organization and work on improving the performance, reliability, and efficiency of their infrastructure systems. The ideal candidate will have experience in developing and implementing machine learning models, working with large distributed cloud systems, and optimizing infrastructure footprint.

Frequently Asked Questions

What are the typical salary ranges by seniority in Data Analysis?
Entry‑level analysts earn roughly $55,000–$75,000. Mid‑level analysts command $80,000–$110,000. Senior analysts can expect $115,000–$145,000. Lead analysts often see $150,000–$180,000, while analytics managers range $160,000–$200,000. These ranges reflect current listings on the platform.
Which skills and certifications are most valuable for Data Analysts?
Core skills: SQL, Python or R, Tableau/Power BI, Excel, statistical modeling, data wrangling, and data storytelling. Certifications that boost market value include Google Data Analytics Professional Certificate, Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist, and Snowflake SnowPro Core Certification.
How common is remote work in Data Analysis roles?
Approximately 70% of listings support remote or hybrid arrangements. Remote positions typically require reliable VPN access, data‑governance compliance, and strong communication tools. Popular remote‑friendly firms include Atlassian, Salesforce, and Twilio.
What career progression paths exist for Data Analysts?
Typical paths: Data Analyst → Senior Analyst → Analytics Lead → BI Developer/Data Engineer → Data Architect → Analytics Manager → Director of Analytics. Progression relies on deepening technical expertise, obtaining advanced certifications, and developing leadership or project‑management skills.
What industry trends are shaping the future of Data Analysis?
Real‑time streaming analytics, AI‑driven insights, and cloud data platforms (Snowflake, BigQuery, Redshift) are accelerating. Sectors like healthcare, fintech, and marketing demand data analysts who can merge machine learning with storytelling and adhere to strict data‑governance standards.

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