• Create reports and/or analyses, present findings & recommendations at multiple levels of the department • Work through the entire lifecycle of data; query, clean, transform, and join disparate data • Develop or optimize processes with automation based on data-driven analyses • Recalibrate and/or assist in building new models to help enhance decision engines • Utilize data visualization skills using Tableau, Power BI, and/or other packages • Gain cross-functional skills and visibility in all areas of the business: from our virtual training sessions, hands-on experience, mentorship program, and access to diverse subject matter experts • Engage with other interns, leaders across BHG Financial, and the community through lunch and learns, virtual team-building events, and give back to projects • Create and deliver an executive-level presentation of your analysis on the cornerstone project

• The RCM Reporting and Analytics Specialist is responsible for establishing revenue cycle performance reports and analytics on functional performance, key performance indicators and other metrics. • Prepares ad hoc reports as requested by the Vice President of Revenue Cycle or other organizational leaders. • Prepare quarterly, monthly, and weekly reports as required by Revenue Cycle Leadership. • Identifies performance trends and opportunities related to revenue cycle performance, efficiency and automation, including but not limited to monitoring of Revenue Cycle systems, identifying root cause, documenting processes and related issues, and recommending improvements, and participating in and/or leading improvement initiatives. • Perform analysis to trend and to identify RCM impacting factors and provide clear explanations of meaningful variances to operations and management. • Prepare ad-hoc analysis for management, physicians, and investors as needed. • Prepare reports and presentations as requested by RCM leadership. • Analyze and report on the effects of proposed federal and state statutes and regulatory actions that may impact long term financial planning. • Collaborate with other departments to transform data and metrics into digestible and actionable presentation materials. • Communicate with all team members in a courteous, professional, cooperative, and mature manner. • Treats staff, physicians, visitors, and patients with dignity and respect. • Adheres to Code of Conduct and Mission & Value Statement. • Participates in special projects as needed.

• Configure and maintain GTM, Meta Pixel, Google Ads conversion tracking, and related platforms • Implement and QA event tracking across websites, CMS platforms, CRMs, and ecommerce systems • Validate conversion events, UTMs, and attribution logic across platforms • Ensure tracking is accurate, consistent, and resilient to site or platform changes • Integrate tracking with CRMs and systems such as HubSpot, Salesforce, Recruiterflow, or GoHighLevel • Work directly in client codebases when tag managers are insufficient • Implement and troubleshoot tracking in React and TypeScript environments • Diagnose and resolve cross-platform data flow issues • Test and verify all tracking implementations before handoff • Produce clear documentation outlining setups, assumptions, and limitations • Share QA findings and walkthroughs with internal teams and clients • Gather tracking requirements in partnership with account managers • Communicate technical concepts clearly to non-technical stakeholders • Proactively recommend improvements to tracking accuracy and reporting reliability

OGC is a boutique research and consulting agency specializing in data-driven strategy, market research, analytics, and Customer Experience (CX) program design. We partner with some of the world’s leading organizations across industries including Telecommunications, Financial Services, Retail, Hospitality, and Software, helping them turn complex data into meaningful, actionable insights. We’re looking for a Senior Data Analyst to join our team in a client-embedded capacity, supporting a large, global organization’s Customer Experience function. This is a hands-on, highly collaborative role for someone who enjoys working directly with stakeholders, navigating complex data environments, and translating business questions into clear, data-backed answers. About the Role You will act as a dedicated data partner to business leaders, supporting ongoing data requests as well as proactive analysis. This role sits at the intersection of data exploration, stakeholder engagement, and CX strategy, requiring both strong technical skills and business understanding. You’ll work across multiple data sources bringing together operational and feedback data to uncover trends, identify gaps, and support decision-making. This is a remote, full-time role aligned with US East Coast hours. What You’ll Do - Partner directly with business stakeholders to understand data needs and translate them into structured analysis - Write and optimize advanced SQL queries to extract and manipulate large, complex datasets - Combine customer feedback and operational data to identify trends in sentiment, behavior, and experience - Build repeatable data processes and workflows to support ongoing CX initiatives - Develop dashboards, reports, and visualizations to track key metrics and performance - Collaborate with cross functional teams to validate data sources, definitions, and business logic - Support the evolution of CX processes by improving how data is captured, structured, and utilized - Contribute to documentation and best practices for data usage and reporting Who You Are - A curious, self-starter who enjoys digging into data and asking “why” - Highly detail-oriented, with strong documentation skills - Comfortable working independently while managing multiple stakeholder requests - Able to balance ad-hoc analysis with building scalable solutions - Strong communicator who can confidently interact with senior stakeholders - 3-5 years of experience as a data analyst or in a similar role - Advanced SQL skills (joins, CTEs, window functions, views, stored procedures, etc.) - Experience working with large, complex, or multi-source datasets - Strong ability to translate data into clear, actionable insights for non-technical audiences - Comfortable in a client-facing environment - Experience with data visualization tools (Tableau, Power BI, Excel) – strong advantage - Exposure to Customer Experience (CX), product, or operational data – advantage