• Perform high-volume data entry with accuracy and efficiency. • Review records and documentation to ensure completeness and correctness. • Utilize systems such as Datacap, Provider Enrollment Portal, File Director, and mainframe tools to process and verify data. • Verify data against multiple sources using both manual and automated methods. • Index and organize claims documentation for accurate recordkeeping. • Apply established policies and procedures for data processing and verification. • Conduct quality control checks to ensure adherence to standards and expectations. • Monitor and complete assigned tasks within established deadlines. • Support provider or stakeholder outreach and communication efforts. • Assist with claims-related documentation, including CMS-1500 and UB-04 forms. • Perform additional administrative and data-related duties as assigned.

Role Description You'll process and enter research data from surveys, web sources, and client-provided files into spreadsheets and databases — checking for errors, standardising formats, and flagging inconsistencies. It's methodical work that rewards people who take accuracy seriously. - Enter survey and research data into Excel, Google Sheets, and internal databases - Clean and standardise raw data — correcting formatting, removing duplicates - Cross-check data against source documents and flag discrepancies - Complete data collection tasks from web sources following structured briefs - Maintain data entry logs and meet daily output targets Qualifications - High accuracy — you spot errors others miss and take quality seriously - Proficient in Excel or Google Sheets - Fast and efficient — you can maintain speed without sacrificing accuracy - Reliable and deadline-driven Requirements - Experience in data entry, data processing, or market research (nice to have) - Typing speed of 50+ WPM (nice to have) - Familiarity with CRM or database software (nice to have) Benefits - $350–$550 USD/month based on experience - Fully remote and async — flexible hours - Consistent, structured work with clear daily targets - Paid leave - Path to Data Analyst or Research Coordinator roles

Role Description In this role, you will be responsible for delivering high‑quality data, insights, and analytics that empower managers to make accurate, data‑driven product, campaign, and operational decisions. You will help optimize processes—such as merchant onboarding and servicing within the Pay product—by identifying trends, anomalies, and risks to support more effective management of the area. Key Responsibilities - Power BI Reporting & Dashboard Management: Prepare, develop, and maintain Power BI reports (transactional and operational dashboards) to support effective decision‑making in product development, deployments, and marketing activities. - End‑to‑End Analytical Support: Conduct comprehensive analyses, interpret complex datasets, and present clear, concise conclusions and recommendations to internal and external stakeholders. - Trend & Anomaly Detection: Identify trends, patterns, deviations, and anomalies (e.g., campaign performance, transaction result outliers) and communicate findings to relevant teams for managerial action. - Data & Dashboard Optimization Activities: Participate in projects aimed at refining the maintenance, aggregation, and structuring of dashboards to improve efficiency and workspace organization within the Pay team. - Analytical Contribution to Business Cases: Support the development of business cases—including those requiring large or multi‑source datasets—for budgeting, financial planning, and strategic initiatives. - Business Analysis for Non‑Reported Areas: Perform business analyses for sales, product, growth, payments, or operational topics where no ongoing reporting exists or where data retrieval requires advanced database querying. - Coordination Between Data & Business Teams: Facilitate collaboration between Data and Business teams to streamline planning processes, enhance Data team understanding of business needs, and accelerate implementation timelines. Qualifications - Proven ability to work with large datasets, including advanced SQL skills, query optimization, and reporting process automation (including VBA). - Experience with Business Intelligence tools, especially Power BI (Power Query, DAX). - Basic programming knowledge in Python (including PySpark). - Strong working knowledge of Databricks or similar platforms. - Highly developed analytical thinking and problem‑solving mindset. - Ability to translate data into actionable insights and business‑oriented recommendations. - Skill in creating clear, logical, user‑friendly, and visually appealing data visualizations and reports. - Solid understanding of statistics and mathematics at a practical level. Benefits - The option to work from the office or 100% remotely. - Opportunity to work in a diverse, international and cross-functional environment, along with leading experts. - Fulfilling careers with a range of benefits for employees and invests in providing training opportunities for their development. - Involvement in technology monitoring and choices. - Your impact will be visible instantly and you will be making a difference in our users' lives.

Role Description Join the Platform R&D Group at the project, where we leverage data to drive real impact in the maritime world. Our core mission is to become the intelligence authority of the oceans - mission-grade maritime AI that brings action-ready clarity across the global seas. You will be part of a research team, directly impacting the fundamentals of our data research, creating and improving our core-data algorithms. This critical Experienced Data Analyst role balances strategic, end-to-end data research with high-velocity, ad-hoc analysis to support crucial engineering and product decisions. You will immerse yourself in the fascinating world of maritime data, using Python, SQL, LLM frameworks, and occasionally Java to conduct analysis and ensure your insights drive strategic product development. - Conduct end-to-end research to create and improve our core-data algorithms. - Leverage Generative AI tools for deep research, data analysis, and coding to accelerate insights. - Analyze large datasets to uncover trends, patterns, and anomalies, applying domain knowledge to interpret data and provide valuable insights for the maritime industry. - Write Python code to extract and analyze data from various sources (including Postgres, MongoDB, SingleStore, and S3). - Maintain and ensure data quality and integrity, conducting thorough checks to monitor, identify, and resolve inconsistencies, and taking accountability for critical data and infrastructure. - Visualize findings, use data storytelling, and document research in technical papers and logs to understand and communicate actionable insights effectively to stakeholders. - Collaborate effectively with cross-functional teams (including domain and technical experts) to address research challenges and optimize data processes. - Join the Data Analysts technical guild to help grow Windward’s data analysts professional community. Qualifications - 5+ years of experience in data analysis, demonstrating deep proficiency in writing Python code. - Bachelor's degree in Computer Science, Industrial Engineering, Mathematics, Statistics, Economics, or a related technical field. - Fluency in English, written and spoken. - Demonstrated proficiency in utilizing Generative AI tools and an AI-first approach to data research, analysis, and innovation. - Extensive experience with statistical analysis in enterprise or research environments. - Expertise in querying databases and using the Python data analysis and visualization stack (e.g., Pandas, NumPy, PySpark, Plotly, Matplotlib, etc.). - Experience using monitoring and visualization tools (such as Grafana or Redash). - Strong analytical mindset and problem-solving skills. - Ability to work independently and manage complex research tasks with high autonomy. - Excellent communication and interpersonal skills, with an emphasis on proactively communicating project dependencies and status to stakeholders. - Demonstrated commitment to being a proactive team player, collaborating effectively with R&D peers and cross-functional partners to achieve shared goals. Requirements - Experience working with geospatial datasets. - Prior experience working with an Israeli company. Benefits - We value your skills and ensure you’re rewarded accordingly. - Enjoy 15 days of annual leave to recharge and maintain a healthy work-life balance. - Fully remote work with a flexible setup. - Our supportive and approachable HR team is always here to help you thrive.