- Remote Data Analyst
Data Analyst
Job Search Results
1 to 50 of 11,747 for Data Analyst
Manage strategic travel vendor relationships, negotiate contracts, and enhance the travel program by identifying opportunities. Streamline administrative processes and provide support for travel and expense inquiries across the organization.
Lead informatics systems to support research objectives, document and analyze researcher needs, apply biomedical informatics standards, and manage client satisfaction in cancer research projects using complex datasets.
Analyze and resolve tax-related queries, ensure tax data integrity, and support payroll tax processes while collaborating with internal teams to enhance service delivery and implement process improvements.
Oversee security event monitoring, conduct risk-focused reviews of information security posture, and manage incident response efforts, ensuring effective remediation of threats and continuous improvement of security processes and governance.
Design and develop scalable platform services and APIs, contribute to shared platform components, and engage in the full software development lifecycle to enhance enterprise data capabilities and improve overall platform efficiency.
Lead Agile Release Train execution for SAP S/4HANA transformation, facilitate key ceremonies, and collaborate with stakeholders to align deliverables with strategic objectives, ensuring seamless integration and high-quality execution across...
Coordinate timely surplus lines tax filings and payments, provide regulatory guidance, communicate with state insurance departments for compliance, and participate in various projects to support team objectives.
Analyze logistics data to create reports and develop business tools, while enhancing vendor relationships and maintaining cost estimates. Collaborate effectively to identify process improvements and support various logistics functions.
Maximize product value by defining vision and roadmap, collaborating with stakeholders to understand needs, and taking ownership of the Product Owner role while ensuring alignment in a scaled Agile model.
Collaborate with business partners to enhance the collections process, analyze accounts to resolve billing issues, and prepare reports on delinquent accounts while driving improvements and streamlining operations for better efficiency.
Lead and manage special projects in data centers, ensuring safety, budget control, and schedule performance while coordinating with operations and supervising construction activities to maintain compliance and quality standards.
Support procurement initiatives by analyzing data, improving spend analysis systems, and ensuring accurate cost information. Collaborate with various departments to enhance procurement processes and track savings initiatives effectively.
Prepare and analyze financial results, support budgeting and forecasting processes, develop financial models, and collaborate with teams to drive operational efficiency and improve financial reporting.
Design and operationalize data pipelines, consolidate data from multiple sources, and ensure data quality and governance to support analytics and reporting initiatives while collaborating with cross-functional teams to deliver effective data solutions.
Design, develop, and maintain ETL processes for data extraction and transformation from various sources, while optimizing database management and ensuring data quality to support reporting and stakeholder needs.
Design and manage cloud data infrastructure, ensuring scalability and security. Collaborate with teams to align data architecture with governance policies and oversee the development of data models and integration processes for analytics and AI.
Utilize advanced analytics to derive insights on healthcare costs and provider behavior, develop analytical templates, and collaborate with business partners to enhance network strategies and design impactful programs based on data-driven outcomes.
Lead data quality initiatives and governance practices while aligning data strategy with business objectives. Manage data steward teams and drive operational excellence in data governance across the organization.
Manage detailed cost plans and estimates, produce monthly cost reports for stakeholders, and lead procurement strategies while ensuring compliance with cost control systems and driving value engineering initiatives throughout the project lifecycle.
Support risk management by ensuring data integrity in client and matter information, conducting quality control checks, and collaborating with various departments to communicate changes effectively. Maintain meticulous attention to detail while...
Leverage credit skills to assess risks and structure transactions, produce high-quality credit reports, and maintain close cooperation with relationship management for portfolio monitoring and economic capital calculations.
Analyze data needs across teams, deliver data requirements, collaborate with stakeholders, and support user acceptance testing to enhance operational reporting and ensure a solid data foundation for strategic projects.
Analyze logistics performance and develop business tools while managing vendor relationships and maintaining cost estimates. Support data management and execute daily processes to enhance operational efficiency and decision-making.
Lead the design of next-generation messaging pricing systems, translating complex commercial strategies into technical specifications, while ensuring effective integration and collaboration across multiple products and teams to maximize profitability.
Lead complex Oracle Cloud transformation programs, overseeing data migration strategies and security architecture while managing cross-functional teams and fostering client relationships to ensure high-quality project delivery and compliance.
Analyze social media trends and campaign performance, develop engaging ad creatives, and utilize analytic tools to optimize digital advertising strategies aimed at connecting at-risk individuals with mental health resources.
Oversee cost management for a large-scale data center program, develop detailed cost plans, produce monthly reports, and coordinate cost information while ensuring adherence to governance and commercial strategies throughout the project lifecycle.
Design and implement evaluation strategies for GenAI workflows, critically assess associated risks, develop benchmarking standards for application outputs, and execute stress-testing protocols to ensure robust AI solutions.
Support product risk management by analyzing performance data, driving cross-functional collaboration, and implementing risk assessment processes to enhance operational resilience and ensure compliance with evolving standards.
Design and implement medallion architecture for data ingestion and processing, develop standardized ETL pipelines, optimize data pipeline performance, and ensure compliance with data governance and security requirements.
Lead the management of critical data domains, collaborate on data product roadmaps, enforce data governance policies, and present actionable insights to stakeholders, ensuring data quality and alignment with organizational objectives.
Enable strategic suppliers through Coupa system capabilities, support users during the enablement process, manage supplier contact information, and conduct integration calls to ensure alignment and compliance with enablement metrics.
Design and implement data-intensive platforms, develop reliable data pipelines, and mentor junior engineers while adhering to software engineering best practices and utilizing modern big data technologies and AWS services.
Lead the design and implementation of enterprise-scale data architectures, establish data governance standards, and collaborate with stakeholders to translate data requirements into technical solutions that support business objectives and operational...
Lead reporting processes for paid media campaigns, provide actionable insights based on performance data, and educate the team on testing strategies and data storytelling to enhance overall marketing effectiveness.
Design and implement scalable data architectures and pipelines, optimize data processing for AI workloads, and collaborate with cross-functional teams to transform IoT telemetry into actionable insights for advanced data solutions.
Collaborate across functions to map processes, simplify complex tasks, and create documentation. Facilitate workshops, design change plans, and track KPIs to measure process performance and improvement impact.
Analyze logistics data to identify performance improvements, support transportation and logistics teams, coordinate cross-functional projects, and develop digital applications for supply chain data management using tools like Excel and Power BI.
Design and implement advanced data platforms and cloud-based architectures to enable low latency, real-time streaming. Develop applications that enhance immersive experiences while ensuring data governance and management policies are upheld.
Lead architecture reviews and set analytical standards while tackling complex data challenges. Drive data quality initiatives and shape the long-term technical vision for analytics infrastructure across the organization.
Drive digital transformation in project engineering by deploying Siemens Rulestream and Teamcenter PLM systems. Collaborate with cross-functional teams to enhance operational efficiency and provide expert guidance on PLM/ETO strategies.
Partner with business stakeholders to identify challenges and translate them into data solutions. Design and optimize Power BI dashboards and data models while developing data pipelines for informed decision-making across various functions.
Support financial analysis and due diligence for M&A transactions, evaluate acquisition prospects through market research, and lead functional teams in negotiations and integration planning to drive strategic growth initiatives.
Investigate heterogeneous data management techniques and develop scalable machine learning frameworks. Create distributed data processing architectures and collaborate with researchers to identify data-related opportunities across various domains.
Design and build advanced models to optimize inventory and supply chain performance, analyze trends to identify risks and opportunities, and present actionable insights to senior leadership to influence business decisions.
Collaborate with cross-functional teams to deliver quality applications, manage project workloads, and develop strategies for complex data management, while leading technical teams and promoting emerging technologies.
Design and deliver scalable data solutions using Google Cloud Platform, translate business requirements into architecture patterns, and collaborate with cross-functional teams to influence enterprise data strategy and governance practices.
Provide analytical and transaction support to various banking stakeholders, prepare marketing materials for client meetings, conduct financial modeling and credit analysis, and monitor portfolio metrics to enhance client relationships and business...
Lead the management and analysis of alumni engagement metrics, generate actionable insights through data storytelling, and collaborate across teams to enhance data functionality and support strategic decision-making for alumni relations.
Support financial modeling and data analysis for pricing proposals, evaluate alternative fee arrangements, and assist in client-specific rate analyses to enhance pricing strategies and deliver client value effectively.
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Contract Type
FAQs about remote data analyst jobs
Are most data analyst jobs remote?
Industries like tech, finance, healthcare, and e-commerce frequently offer remote analyst positions, especially for candidates with strong technical skills and the ability to work independently. While some companies still prefer hybrid or in-office setups for collaboration, remote work is well-established in this field and continues to grow.
How to find remote data analyst jobs?
- Use trusted legitimate job boards: search terms like “remote data analyst” or “data analytics work from home”
- Target remote-first companies: look for employers known for distributed teams, especially in tech and SaaS
- Stay active in data communities: join forums like r/dataanalysis (Reddit) or LinkedIn analytics communities — remote jobs are often shared in these groups before they’re posted publicly
How to get remote data analyst jobs?
- Learn key tools: become proficient in Excel, SQL, Python (or R), and a visualization tool like Tableau or Power BI
- Build a portfolio: showcase real or sample projects that highlight your ability to clean, analyze, and present data
- Take relevant courses: online certifications from Coursera, DataCamp, or Google’s Data Analytics Certificate can boost your resume
- Apply with purpose: don’t mass-apply — instead, customize your application and include specific examples of how you’ve solved data problems
