Top Remote Data & Analytics Jobs

Develop data pipelines and ETL processes to support data warehousing and modeling. Collaborate with teams to ensure data quality and accuracy. Utilize Python and SQL for data analysis and manipulation.

Senior Data Scientist role at Cash App within the Commerce organization. Analyze large datasets, surface insights, design experiments, work with product team, and drive strategy with metrics. Must have 7+ years of experience in statistics, data science, or related field. Proficiency in SQL, data visualization tools, Python, and R required.

The Sales Enablement Data Analyst is responsible for analyzing sales data, identifying performance trends, and making recommendations to improve enablement programs. They collaborate with the team to standardize measurable outcomes and present findings to drive sales initiatives.

The Pricing Analyst for CrowdStrike Financial Services (CFS) will provide pricing support and analysis for CFS's financing portfolio. Responsibilities include performing pricing and profitability analysis, leading the development of pricing models, and coordinating with senior leadership to optimize returns and grow the portfolio.

The Data Engineer II at Wipfli is responsible for developing, testing, and implementing data-oriented solutions, specifically focusing on BI solutions. They work closely with business stakeholders to turn data into critical information for organizational decisions. Key responsibilities include developing data models, performing ETL operations, ensuring data accuracy, translating requirements into effective data insights, and participating in project life cycle activities.

Support a market-leading product from analysis through to action, deliver analyses leading to product or business strategy insights, work closely with various teams to ensure cloud readiness for enterprise customers, use imperfect data to influence strategic company decisions, empower the company with data and analytical insights.

Join a world-class Data Science team at Atlassian, using data to drive insights about products and customers. Collaborate with cross-functional partners, develop strategies, and shape product development through data analysis and storytelling. Required qualifications include 8+ years of Data Science experience, proficiency in SQL and another data manipulation programming language, expertise in storytelling with data, statistical concepts, and impact on business strategy through analytics.

Looking for a Senior Applied Scientist to improve targeting and optimization products by building production-level ML and data products, using machine learning models, and communicating effectively with various teams.

Principal Data Analyst role at Capital One working on leveraging data to drive real-world impact and collaborating with various business verticals to deliver tangible business value.