Role Description Seeking Alpha is looking for a Market Data Analyst to join our dynamic Data Team. In this role, you will be responsible for designing, building, and maintaining cross-vendor data through systematic quality checks, data pipelines, and exploring new data opportunities, all while ensuring the highest standards of accuracy for our platform. We need a high-ownership professional who is deeply inquisitive and learns fast enough to master our complex back-end systems. You must be highly familiar with corporate actions (dividends, splits, earnings, etc.) and their impact on market data. If you have extensive financial data experience, love driving projects independently with minimal handholding, and thrive on optimizing data infrastructure, we want to hear from you. What You'll Do - Data QA Methodology: Drive Quality Assurance testing for market data tasks. Set the gold standard in QA processes and methodology, moving far beyond a "box-checking" approach to ensure absolute data integrity. - Advanced Data Support: Provide white-glove service for complex support data escalations. Handle financial data inquiries ranging from basic stock chart investigations to complex cases involving detailed questions around historical fundamental data statements and financial metrics/ratios. - Cross-Functional Collaboration: Partner with Product Management and engineering teams using JIRA to track, prioritize, and independently solve a significant number of outstanding data errors, driving cases and projects to efficient conclusions. Qualifications - 5-7 years of working experience within the financial industry, with a focus on Equities data including Fundamentals, Estimates, Market Data, etc. - Highly experienced in designing and developing QA processes for financial data. - General exposure and interest in quantitative and systematic financial modeling. - Technical ability to work with Data Feed and API products, including working SQL query knowledge and data transformation scripting in Python is a plus. - Experience with one of the major financial data vendors, either as an employee or a client (S&P, Factset, Bloomberg, etc.). - General understanding of Product Management principles and processes, and experience as a detailed and highly organized JIRA user. - Ability to understand Big Picture Strategy while still being able to deliver on very detail-oriented and potentially complex data quality tasks. - Excellent problem-solving abilities and a customer-centric mindset – you love to give good service to our internal and external customers. - Able to prioritize and solve a significant number of outstanding data errors independently and drive cases and projects to conclusions efficiently across teams. - Fluent English - a must. Working Terms - Location: Remote work from India. - Hours: Monday – Friday, 11:00 AM – 8:00 PM IST.

• Plan and facilitate training sessions for applicants seeking approval from EPA for Class VI UIC permits • Develop and present scientific and technical materials for permit applicants • Serve as a technical liaison supporting agency communications, training, and outreach initiatives • Spot-check data for accuracy and completeness • Verify calculations and formulas • Document methods and assumptions for auditability and reproducibility • Prepare clear, concise, and technically accurate deliverables including reports, and data summaries in compliance with contract and client requirements • Track project milestones, deliverables, and schedules to ensure timely and compliant submission of work products

• Proactively identify and monitor which healthcare facilities consistently generate high-quality, usable clinical documents (e.g., EHRs, discharge summaries, procedure notes) to precisely locate and quantify data gaps. • Conduct deep-dive analyses by mapping and correlating facility-specific data across disparate sources like structured claims, clinical care summaries (CCDAs), and ADT messages to uncover systematic patterns of missingness, latency, or incongruence in clinical records. • Establish and maintain clear, transparent reporting on ADT coverage across key geographic, organizational, and technological dimensions (e.g., by county, facility, and underlying EMR system). • Based on rigorous analysis of data flow and quality, recommend and guide the implementation of optimal technical configurations for existing data vendors (e.g., Bamboo Health, PCC, Experian, HSX). • Conduct comprehensive evaluations and proof-of-concepts for potential new data integration technologies (e.g., Kno2 vs. Particle Health) to assess viability, quality improvements, and strategic fit. • Systematically determine the existence and completeness of documentation associated with specific patient visits or encounters. • Develop a data-driven framework for prioritizing facility targets for direct data acquisition, assessing impact, cost-effectiveness, and technical feasibility. • Inform and guide vendor strategy around national initiatives such as TEFCA and QHIN adoption, ensuring Counterpart Health is positioned for compliant, high-quality data exchange. • Partner cross-functionally with Product Managers to define data requirements, Engineers to implement reliable pipelines, and Clinical teams to validate data quality and clinical utility. • Act as a critical liaison to identify and remove operational and technical bottlenecks, ensuring a predictable, scalable, and reliable clinical data flow across all customer markets.

• Build and maintain core Value-Based Care (VBC) performance metrics across risk, quality, utilization, and cost domains, including HCC capture rates, RAF scores, PMPM trends, and inpatient/ED utilization rates. • Develop customer-facing analytics, reports, and dashboards that surface actionable performance insights for payer and provider partners in a clear, narrative-driven format. • Analyze Medicare Advantage performance data, including risk adjustment, quality bonus payments, and benchmark performance, to identify gaps, trends, and opportunities at the patient, provider, and market level. • Translate complex data findings into executive-ready narratives: written summaries, slide-ready visuals, and structured QBR materials that tell a coherent story about performance and next steps. • Conduct deep-dive utilization and cost analyses, including high-cost claimant reviews, avoidable utilization patterns, and specialty/pharmacy spend trends, to identify levers for improvement. • Partner with Customer Success and Provider Operations teams to prepare and deliver performance reviews (QBRs, monthly reporting packages) that communicate value and surface priority action areas for each customer. • Collaborate with Data Engineering to validate claims and clinical data pipelines, flag anomalies, and ensure metric consistency across customer populations. • Contribute to the development of scalable analytics infrastructure: reusable SQL libraries, metric definitions, and documentation that enable the team to move faster.