Role Overview The Senior Manager, Claims Analytics, leads the claims analytics function within the Implementation organization. This role is responsible for overseeing complex reimbursement and payment accuracy analyses, managing analysts, setting analytical standards, and partnering cross-functionally with GTM, Customer Success, Product, and Engineering teams to ensure successful client implementations. This role combines deep healthcare claims expertise with people leadership, strategic thinking, and operational execution to scale analytics capabilities and drive measurable financial outcomes for clients. Key Responsibilities Leadership & Strategy - Lead and mentor a team of Implementation Claims Analysts, setting priorities, performance expectations, and development plans. Define and standardize analytical methodologies, reporting frameworks, and best practices for claims and reimbursement analysis. - Partner with Implementation leadership to align analytics deliverables with client goals, timelines, and success metrics. - Act as a subject-matter expert in claims analytics for complex or high-visibility client implementations. Analytics & Execution - Oversee large-scale analysis of claims data related to charge capture, reimbursement, underpayment, overpayment, and payment accuracy. - Ensure the delivery of exception-driven, actionable insights that clearly identify systemic versus isolated issues. - Review and validate analytical outputs, ensuring accuracy, consistency, and clarity in reporting and client-facing deliverables. - Guide analyses related to: - Payor reimbursement behavior and trends - RVU productivity and payment alignment - Revenue cycle optimization opportunities - Financial performance to benchmarks, goals, and norms Cross-Functional Collaboration - Partner with GTM and Customer Success teams to support implementations, renewals, and expansion opportunities through analytics insights. - Collaborate with Product and Engineering teams to influence roadmap priorities based on claims analysis findings and client needs. - Serve as a senior analytics representative in client-facing discussions, executive readouts, and strategic reviews. Technical Oversight - Guide data ingestion and processing pipelines using SQL*Loader, Oracle, shell scripting, and cloud-based tools. - Oversee advanced analytics leveraging SQL, PL/SQL, Python, Scala, Spark, and AWS. - Ensure scalable, repeatable approaches to analyzing billions of claims records across clients. Required Qualifications - 8+ years of experience in healthcare claims analytics, payment accuracy, or reimbursement analysis. - Prior experience working with claims editing or payment accuracy vendors. - Strong expertise in medical coding, billing guidelines, and reimbursement methodologies. - Proven people leadership experience managing and developing analytics teams. - Advanced proficiency in SQL and experience working with large healthcare datasets. - Strong executive communication and presentation skills.\

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As Daily KPI Executive of Citadel Healthcare Management you will be liable to perform the following job duties: - KPI Monitoring & Reporting: Track and report Daily/weekly/monthly KPIs, specifically focusing on therapist utilization, claim denials, and client retention. - Operational Efficiency: Optimize the patient scheduling and intake process to minimize no-shows and reduce wait times for first appointments. - Revenue Cycle Management: Manage insurance verification, authorization tracking, and billing to keep days in A/R under 40 and clean claim rates above 90%. - Data-Driven Staff Support: Use productivity data to provide actionable insights for clinician caseload management and reduce burnout. - Patient Experience Management: Oversee patient satisfaction surveys and reputation management (reviews) to improve client retention. Qualifications - 1+ years in healthcare management, specifically within behavioral health, mental health, or substance use disorder clinics. - Strong proficiency in EHR platforms and data analytics tools e.g Excel with complex formulas. - Deep understanding of insurance billing, specifically Medicaid/Medicare and major commercial payers. - Bachelor’s degree. - Behavioral Characteristics: Analytical, proactive, and patient-centric. Benefits - Provident Fund - Leave Encashment - Gratuity - Health Insurance - Inflation Bonus - Housing Allowance - Patient seen Bonus - Eid Bonus Company Description Citadel Healthcare Management (PVT) LTD. provides healthcare management services for practices across North America. Our dedicated team supports a wide range of medical administration tasks, working collaboratively across multiple disciplines. Our mission is to offer employees meaningful opportunities to apply their expertise, grow in their careers, and contribute to the organization’s ongoing success. We are committed to creating a workplace where employees feel valued, supported, and motivated. By fostering a collaborative and engaging environment, we ensure that every contribution is recognized and appreciated. At Citadel, diversity and inclusion are at the heart of our culture. We welcome individuals from all backgrounds—regardless of gender, ethnicity, age, religion, lifestyle, or disability—and embrace the unique perspectives and experiences they bring. Through teamwork, innovation, and continuous professional development, we empower our employees to thrive and drive progress within the organization.

• Lead the analytics vision for unified revenue measurement across Netflix Ads, designing and implementing frameworks to harmonize, quantify, and report on diverse revenue streams, including new content formats Netflix is launching. • Act as the lead Semantic Architect for revenue, driving consensus across Finance & Strategy, Accounting, and Product, and codifying those agreed-upon definitions into the Ads Metrics Catalog (AMC). • Build scalable, transparent data models and dashboards—in partnership with Data Engineering—that provide real-time and periodic insights into revenue streams. • Drive the narrative around how core revenue definitions impact downstream performance metrics, conducting deep-dive research to explain the why behind metric movements. • Act as a subject matter expert in revenue analytics, piloting scalable solutions for complex treatments, and driving innovation in how Netflix measures and communicates advertising revenue. • Serve as the integration layer for revenue data, aggregating, harmonizing, and exposing the overarching executive revenue views in core reporting surfaces.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Clements Fluids is seeking a Sales & Market Intelligence Analyst who supports the Sales organization by transforming commercial, operational, and market data into actionable insights that drive revenue growth and customer value. This role analyzes sales performance, customer trends, and market activity to support forecasting, territory strategy, pricing decisions, and strategic initiatives. The position partners closely with Sales, Finance, and Operations to translate data into practical insights that improve decision-making and strengthen the company’s competitive position. - Deliver Commercial Insights Through Data Analysis and Visualization - Analyze sales, customer, and operational datasets to uncover trends, opportunities, and risks impacting revenue and profitability. - Ensure data accuracy and consistency across CRM, ERP, and operational reporting systems. - Develop dashboards and visualizations to support sales performance tracking, territory management, and pipeline visibility. - Apply statistical methods and modeling to identify patterns in customer demand, product usage, and market activity. - Present insights and recommendations to sales leadership and cross-functional teams. - Build Sales Forecasting and Predictive Models - Develop forecasting models to support revenue planning, demand forecasting, and capacity planning. - Use predictive analytics to identify growth opportunities, customer churn risks, and product demand trends. - Maintain documentation and governance of analytical models and assumptions. - Partner with finance and operations to ensure alignment between sales forecasts and operational capabilities. - Provide Market, Customer, and Competitive Intelligence - Conduct market and competitor analysis to identify strategic opportunities in key basins and customer segments. - Analyze customer buying patterns, service requirements, and operational data to support account strategies. - Translate data into actionable insights for sales leadership and account managers. - Support the development of value propositions and customer-specific strategies using data. - Support Strategic Sales Initiatives and Cross-Functional Projects - Partner with sales leaders/managers, operations, and finance teams to evaluate strategic initiatives and business opportunities. - Provide analytical support for pricing strategies, new product opportunities, and customer proposals. - Lead data-related projects that improve commercial decision-making and operational alignment. - Ensure alignment and collaboration across functions to support revenue growth. - Apply Advanced Analytics and Technology to Improve Commercial Intelligence - Utilize advanced analytics tools and programming languages to extract and analyze large datasets. - Leverage Excel, SQL, PowerBI/Tableau, and other tools to create scalable reporting solutions. - Explore machine learning and advanced modeling techniques where appropriate. - Continuously improve sales reporting, forecasting, and analytics capabilities. Qualifications - Bachelor’s Degree required in one of the following areas: - Engineering (Petroleum, Chemical, Mechanical, Industrial preferred) - Data Science or Analytics - Statistics or Applied Mathematics - Computer Science or Information Systems - Business Analytics or related quantitative field - Engineering backgrounds with strong analytical and data capabilities are strongly encouraged due to the technical nature of the oil and gas industry. Requirements - 5+ years of experience in data analytics, commercial analytics, or business intelligence. - Experience supporting sales organizations, commercial strategy, or revenue analytics preferred. - Experience working with large datasets across multiple systems (ERP, CRM, operational data). - Experience with visualization and data storytelling. - Experience building forecasting models or predictive analytics preferred. - Experience in oil & gas, energy services, manufacturing, or industrial markets strongly preferred. Benefits - Commercial & Technical Curiosity - Ability to understand how operational processes, product performance, and customer requirements influence commercial outcomes in a technical industry. - Transferrable skills: - Skilled in extracting and analyzing data using Structured Query Language (SQL). - Detail-oriented with a focus for data accuracy and integrity. - Proficiency in using analytic programming languages. - Track record of creative problem solving, and quick response to requests for data analyses. - Excellent interpersonal skills including effective communication both verbally and in writing with management and coworkers. - Strong ability to manage projects independently, prioritize tasks, and adhere to established timelines. - Excellent written and verbal communication skills accompanied by excellent consultative skills. - Ability to complete projects and achieve results in an ambiguous work environment. - Excellent planning and organizational skills.