Junior Technical Support Specialist Location: Kolkata (Hybrid) Position Summary We are seeking a detail-oriented and collaborative Junior Technical Support Specialist to join our DAV and Outbound Data Operations team. This entry-level role supports the day-to-day execution of critical business operations, quality checks, project coordination, and documentation. The ideal candidate will be proactive, analytically minded, and comfortable navigating both technical tools and cross-functional communications. This is a high-impact role that acts as a connector between our developers, data delivery team, and client success team, ensuring the seamless flow of validated healthcare data. Key Responsibilities Project Coordination & Operational Support Support project tracking and coordination in Redmine or similar project management tools; follow up on action items and escalate blockers as needed. Assist with scheduling and conducting sync meetings to remove roadblocks and maintain timeline alignment. Data Validation & Quality Checks Conduct data completeness and quality validation using SQL, UNIX commands, and Excel/Google Sheets (e.g., VLOOKUP, pivot tables). Help build systems that flag anomalies and inconsistencies before outbound deliveries to customers. Documentation & Knowledge Management Help create and maintain high-quality documentation, including DAV submission files, primary source verification (PSV) guides, internal playbooks, training materials, and process flow diagrams. Ensure all documentation is up to date, version-controlled, and audit-ready. Audit Preparation & Delivery Assist with compiling and formatting artifacts required for DAV audits. Ensure timely and accurate completion of audit submissions and customer deliverables. Process Improvement & Automation Participate in retrospectives and contribute to continuous improvement initiatives. Help identify opportunities to streamline repetitive tasks and propose automation or checklist-based solutions. Qualifications & Experience Bachelors degree in Computer Science, Data Science, Health Information Systems, Public Health, or a related discipline, or equivalent hands-on experience is plus. 0–2 years of experience in healthcare technology, clinical data validation, technical support, or healthcare quality programs. Exposure to SQL and UNIX basics. Familiarity with Redmine, Jira, or other task management systems is a plus. Proficiency in Google Sheets/Excel, including data manipulation and visualization. Core Skills & Competencies Technical Aptitude Proficiency in Excel/Google Sheets and basic familiarity with command-line tools (SQL, UNIX). Understanding of how AI tools can be used to streamline workflow and enhance productivity. Foundational knowledge of databases, data validation, and clinical data workflows is a plus Ability to work on complex problems Communication & Collaboration Strong written and verbal communication skills, with the ability to clearly convey technical information to non-technical stakeholders and customers. Ability to thrive in a remote, collaborative environment and contribute across functional teams. Proficiency in Bengali is a plus, particularly for internal team collaboration. Organizational Skills Exceptional attention to detail with a pattern-recognition mindset. Comfortable managing multiple priorities and meeting deadlines in a fast-paced setting. Why Join Cozeva? Mission-driven work that improves healthcare delivery and outcomes nationwide Opportunity to gain hands-on experience in NCQA’s healthcare data validation program and quality improvement initiatives Collaborative, remote-first culture with exposure to clinical data, analytics, and healthcare operations Growth pathways into data engineering, quality auditing, or healthcare analytics roles

DATA ANALYST - BUSINESS INTELLIGENCE JOB DESCRIPTION Summary At Applied Research Works Cozeva, we are building the operating system for value-based care, transforming healthcare with data-driven insights. As a Data Analyst, you will work with complex healthcare data to generate meaningful insights and deliver them to key stakeholders, including internal teams and clients. Collaborating with program managers, developers, and engineers, you will help improve clinical performance, streamline operations, and enhance patient outcomes by enabling informed, data-driven decisions in value-based health systems. Roles and Responsibilities Data Management & Analysis: Collaborate with data developers to create, restructure, and manage large datasets, files, and systems, ensuring data accuracy and integrity. Research & Insights Generation: Conduct qualitative and quantitative research using mixed method approaches to uncover meaningful insights that drive strategic decisions. Requirements Gathering & Collaboration: Partner with managers and stakeholders to gather and document business requirements, ensuring data solutions align with organizational needs. Data Acquisition & Optimization: Design and implement data acquisition processes, focusing on scalability, performance optimization, and reliability. Data Visualization & Reporting: Create and maintain interactive data visualizations from multiple sources, enabling decision-makers to track key metrics and identify trends effectively. Continuous Improvement: Regularly analyze data to answer critical business questions, provide strategic recommendations, and support initiatives that enhance productivity and efficiency. Stakeholder Communication: Deliver clear and actionable insights to key stakeholders, fostering data-driven decision-making across departments. Qualifications and Skills – Data Analyst Education: Bachelor’s or Master’s degree in economics, Information Systems, Mathematics, Statistics, Public Health, or a related field. Master’s degree preferred. Analytical Skills: Strong analytical capabilities with expertise in statistical inference, problem definition, data collection, and drawing valid conclusions. Technical Proficiency: Proficiency in data-intensive programming languages such as SQL, Python (preferred) or R. Experience with BI tools like Power BI, Tableau, or AWS QuickSight. Problem-Solving & Critical Thinking: Demonstrated problem-solving skills with a proactive approach to data analysis and identifying growth opportunities. Collaboration & Communication: Ability to work effectively with colleagues at all organizational levels and communicate clearly and concisely with both internal and external stakeholders, verbally and in writing.