- Remote Data Analyst
Data Analyst
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1 to 50 of 10,885 for Data Analyst
Support financial reporting and analysis, develop presentations for senior audiences, collaborate on data integrity, and manage ad-hoc requests while driving strategic business direction for sustainable performance.
Gather and clean data from various sources, validate data accuracy, and organize it for analysis. Conduct exploratory data analysis to uncover insights and collaborate with teams to translate findings into actionable strategies.
Support Oracle Cloud modules by configuring, testing, and documenting applications. Collaborate with HR and Finance to implement improvements while mentoring junior developers and resolving production issues.
Conduct ongoing KYC reviews and transaction analysis, perform negative news searches on high-risk clients, and write comprehensive risk assessments while collaborating with internal stakeholders to ensure compliance with regulatory standards.
Perform monthly general ledger closing and reporting, prepare account reconciliations, and analyze financial details while collaborating with various teams to enhance workflows and support regulatory compliance initiatives.
Develop and monitor fraud detection models, conduct ad hoc analysis on complex datasets, and collaborate with operations to refine fraud strategies while mentoring team members to enhance overall performance and effectiveness.
Analyze product performance and trends, prepare KPI reports for reviews, and collaborate with teams to drive profitable growth while supporting new product development and managing the product portfolio effectively.
Manage SAP pricing data integrity, support budget administration, collaborate with cross-functional teams for process optimization, and deliver actionable insights to enhance operational efficiency and strategic decision-making.
Provide analytical support and operational oversight to Transition Leads, conduct comprehensive data analysis, develop advanced reporting capabilities, and monitor vendor compliance to ensure seamless transition implementations and strategic alignment.
Collaborate with attorneys to identify workflow challenges and develop AI use cases. Design and implement AI solutions, orchestrate workflows, and integrate applications while maintaining clear documentation and validating designs with stakeholders.
Collaborate with cross-functional teams to conduct technology due diligence assessments, formulate strategic investment summaries, and establish links between business and data strategies to drive impactful outcomes for M&A projects.
Own the full QA lifecycle for AI solutions, generate and evaluate test cases, integrate automated test suites into CI/CD pipelines, and maintain quality metrics to ensure reliability and performance across applications.
Analyze complex data sets and lead data migration across systems while ensuring data quality and hygiene. Design automated tools for monitoring data integrity and leverage AI to enhance transformation processes.
Develop and monitor fraud detection models, conduct data analysis for emerging trends, and collaborate with operations to refine strategies, enhancing fraud prevention efforts through data-driven insights and iterative feedback.
Prepare and review financial models for fairness and solvency opinions, analyze SEC filings and market data, assist in client deliverables, and collaborate with deal teams to ensure alignment with project timelines.
Monitor solar power plant performance, manage plant alerts and expenses, and support compliance reporting while collaborating with operational teams to enhance efficiency and assist in onboarding new plants.
Create high-quality cartographic reports to support strategic planning, provide research assistance across departments, and train users on data platforms while managing special projects within the Market Research team.
Independently create high-quality cartographic collateral and reports, provide research support across departments, and assist in training on data platforms to enhance business decision-making and strategic planning.
Independently create high-quality cartographic collateral and reports, provide research support for various departments, assist in data interpretation, and offer training support on the Placer mobile data platform.
Create high-quality cartographic collateral and reports, provide research support across departments, and assist in interpreting data for strategic business decisions while completing special projects as needed.
Create high-quality reports and maps to support strategic planning and market analysis. Provide research assistance across departments, interpret data, and deliver training on analytics platforms to enhance decision-making processes.
Build and maintain an AI context platform by implementing data pipelines and enhancing retrieval quality. Deliver governed data products and ensure operational excellence while applying security measures for compliance.
Collaborate with experts to enhance data management processes. Develop scripts for data cleaning and validation, create visualizations for reports, and perform data analysis to support research initiatives.
Develop detailed cost plans for large-scale construction projects, coordinate cost data for validation, and lead commercial negotiations to ensure competitive contract values while managing post-contract cost variances and change control processes.
Conduct property assessments through walk-through surveys, gather data on building systems, log information into databases, and apply problem-solving skills to manage project complexities effectively.
Develop and guide tailored client solutions, collaborate on media workflows, and translate complex data insights into compelling narratives to enhance client growth and position the organization as a leader in technology and data solutions.
Conduct detailed financial and valuation analysis of publicly traded real estate companies, develop investment recommendations, and write concise research reports while building expertise across assigned property sectors.
Create and maintain reporting processes, develop database knowledge, utilize data visualization tools, and effectively communicate insights to support firm stakeholders and enhance operational efficiency.
Lead data science initiatives by shaping strategic direction, mentoring teams, and developing frameworks for causal inference and experimentation to drive business impact and optimize marketplace performance. Collaborate across disciplines to enhance...
Manage tax compliance and reporting, prepare calculations for federal and state income tax returns, and support tax-related projects for mergers and acquisitions while ensuring adherence to regulations and optimizing tax strategies.
Guide customers in accelerating the consumption of Data 360 and Agentforce, develop mutual success plans, build executive relationships, and proactively identify risks to ensure optimal business outcomes and technology integration.
Extract actionable insights from complex data, design experiments to assess product changes, analyze data to identify metric movements, and communicate findings to cross-functional teams to inform strategic product decisions.
Build and maintain data pipelines and models for AI systems, diagnose data quality issues, and communicate findings clearly to clients, translating complex problems into actionable insights in a fast-paced environment.
Design and implement machine learning models to enhance credit decisions, conduct data analysis to identify risks, and collaborate with cross-functional teams to ensure compliance and integration of models into decision strategies.
Provide system support for B2B and communications servers, automate processes through scripting, collaborate with teams to establish B2B connections, and monitor system health to ensure optimal performance and reliability.
Prepare and review complex tax returns and provisions, support tax audits, and conduct technical research on tax issues while analyzing processes for improvements and ensuring compliance with legislative changes.
Support the development of annual budgets and forecasts, ensure accurate financial reporting, maintain internal controls, and provide financial consulting on strategic initiatives to enhance decision-making and operational efficiency.
Conduct walk-through surveys to assess property conditions, gather data for analytics, and log information into client databases while ensuring compliance with site visit protocols and utilizing problem-solving skills for project complexities.
Lead and develop the intellectual property practice, build and maintain client relationships, manage multiple matters with exceptional work product, and have a portable book of business. Flexible work schedule and emphasis on professional development.
Develop and manage data pipelines, ensuring performance and reliability in data extraction and processing. Collaborate within Agile teams to implement complex requirements and promote innovation and teamwork in data analytics solutions.
Lead the development of advanced data science models while collaborating with stakeholders to understand requirements. Ensure data quality and mentor junior scientists, driving best practices in data science.
Conduct thorough financial analysis for commercial credit lines, manage client interactions for credit reviews, and ensure compliance with underwriting processes while facilitating high-level discussions on credit decisions.
Manage customer account setups and maintenance, oversee invoice collections and deduction resolutions, and ensure accurate cash application processes while supporting internal audits and maintaining strong relationships with stakeholders.
Manage the complete lifecycle of sales contracts and customer rebate programs, ensuring accuracy and compliance while conducting data analysis and supporting the implementation of a new Contract Lifecycle Management system.
Analyze sales and inventory data to identify trends and opportunities, develop and maintain KPI dashboards, and collaborate with cross-functional teams to align forecasts and inventory strategies for optimal supply chain performance.
Lead the onboarding of trading partners, ensuring compliance and data accuracy. Design and manage EDI solutions, collaborating with business teams to optimize integration initiatives and support IT strategy and objectives.
Manage inventory by tracking backordered items, ensuring timely deliveries, and collaborating with vendors. Identify excess stock and communicate discrepancies effectively to support operational efficiency and enhance customer service.
Monitor competitive landscape to identify shifts and opportunities, translate findings into actionable insights, and collaborate with cross-functional teams to enhance strategic decision-making and drive business outcomes.
Lead a team of Business Analysts to identify process improvements, translate business needs into requirements, and collaborate with development teams to implement technology solutions that enhance efficiency and mitigate risks.
Forecast and track cash costs, lead cost reviews with stakeholders, manage the investment portfolio, and perform ad-hoc analyses to ensure strong financial control and support strategic decision-making within the organization.
Work Model
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
