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Business Intelligence and Analytics Manager, Reporting and Data Analytics

Machinify · United States · 1 mo ago
RemoteRemoteAnalyst$110k–$120k/yrFull-time
We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. No Job ID etc. Remove boilerplate. We need to parse the posting. First, "About the role": The initial paragraph describing Machinify and the role overview. Could be considered About the role. We'll include a

About the role

with paragraphs summarizing the description (but we must preserve all substantive information, not invent or summarize away detail. However we can keep the prose as is, maybe split into paragraphs. We must not omit details. We can keep the original sentences. We need to decide what belongs to each section. Responsibilities: The "What You’ll Do" bullet list. We'll convert each bullet to
  • inside
      . Requirements: maybe "What You Bring" includes education, experience, etc. Could be Requirements and Qualifications. The instruction says use headings for sections like Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide which content fits which heading. We have: - Bachelor's Degree in Business, Analytics, Healthcare Analytics, or related field or relevant experience - Management experience with leading, mentoring, or managing others including direct feedback on technical work and handling day-to-day issues (workload, priorities, performance) - 5+ years in business intelligence, healthcare claims data analysis, or analytics engineering, including time as the most senior analytics person on a team or initiative. - Foundational hands-on experience with eligibility, member and claims data within healthcare analytics and/or claims processing environments - Deep knowledge of healthcare claims data — claims data, NCPDP, Member & Eligibility files, and standard transaction formats (837/835/271). - Advanced SQL: you can write, read, debug, and performance-tune complex queries against large claims datasets without assistance. - Hands-on experience within of a modern BI/reporting platform and a cloud data warehouse (Snowflake or comparable). - Demonstrated success building or overhauling client-facing reporting from an immature or inconsistent foundation. - Business acumen and judgment, excellent written and verbal communication with both internal executives and external clients — able to defend a number, hold ground with evidence, and name uncertainty where it exists. - Proven ability to integrate data across disparate, loosely documented sources and pinpoint the discrepancies that explain reporting inconsistencies. - Comfortable operating with limited structure and ambiguity, prioritizing independently against business goals. - Track record of surfacing and conducting root cause analysis on data-quality or reporting issues. These could be split into Requirements (education, years experience), Qualifications (specific skills), Skills (technical). But we can also combine. We need to avoid filler like "commensurate with experience". Not present. Benefits: The "What We Offer" section includes: Work from anywhere in the US! Machinify is digital-first. Top Medical/Dental/Vision offerings FSA/HSA Tuition reimbursement Competitive salary, 401(k) with company match Additional health and wellness benefits and perks Flexible and trusting environment where you’ll feel empowered to do your best work. Pay: The salary range: Pay Range: $110,000 - $120,000. Also mention salary based on factors. Schedule: Not mentioned. So we should not include Schedule section. We must not include boilerplate like EEO, legal, etc. So we cut those. Now produce HTML. Structure:

      About the role

      Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. The Healthcare Business Intelligence and Analytics (BIA) Manager owns client reporting, compliance reporting, and performance analytics spanning various programs. This position will primarily focus on healthcare eligibility and claims datasets. The BIA manager builds and maintains the metrics, dashboards, and recurring reporting that clients and other internal & external stakeholders rely on to understand program performance. This is a contributor-manager position. Alongside managing your analysts, you will remain hands-on in the data — writing SQL, building reports, and working claims-level detail — while establishing the standards, definitions, and roadmap for the team. You will manage an uneven reporting landscape with data gaps and challenges, across multiple client programs and turn it into quality reporting that can be trusted without revalidation needed.

      Then Responsibilities:

      Responsibilities

      • Own reporting & data analytics across client programs
      • Own the reporting frameworks and standards that meet client requirements while adhering to client-driven SLAs and timeframes
      • Own client compliance reporting, client metrics & dashboard reporting, and ad hoc reporting for reclamation clients and other programs, including 271/835/NCPDP-based reporting and data crosswalks.
      • Partner with data engineering on pipeline reliability, data quality monitoring, and the upstream changes that quietly break downstream reporting.
      • Participate in client system file generation, client system reconciliation, and reporting support, including inventory tracking.
      • Own analytics and data requests plus data crosswalks for CAV and COB clients.
      • Write and optimize production-grade SQL against large-scale claims datasets, and own the testing, documentation, and version control of the reporting codebase.
      • Proactively surface anomalies and trends.
      • Conduct ad hoc research and reporting requests as necessary or requested
      • Investigate reporting discrepancies to root cause and know the difference between a real data/process issue and a one-off anomaly or timing consideration.
      • Turn one-off findings into repeatable checks and monitoring, so the same issue isn't manually rediscovered each month.
      • Build the crosswalks, joins, and validation logic to support on-going reporting needs
      • Monitor client files with a tracking mechanism to ensure successful receipt and ETL processes occur in line with business functions, timeframes and reporting requirements
      • Coordinate with counterparts to resolve upstream data issues (rejections, reprocessing, eligibility gaps) that surface in reporting.
      • Serve as a reporting-side liaison between clients and analysts
      • Build and lead the team: Manage a team of reporting analysts — setting priorities, reviewing work, and unblocking them on the claims and data issues that come up day to day.
      • Review work quality and provide direct feedback and coaching, not just hands-off delegation.
      • Own the reporting and data roadmap: what gets built, in what order, when and why
      Then Requirements (education, experience):

      Requirements

      • Bachelor's Degree in Business, Analytics, Healthcare Analytics, or related field or relevant experience
      • Management experience with leading, mentoring, or managing others including direct feedback on technical work and handling day-to-day issues (workload, priorities, performance)
      • 5+ years in business intelligence, healthcare claims data analysis, or analytics engineering, including time as the most senior analytics person on a team or initiative.
      Then Qualifications (maybe deeper knowledge):

      Qualifications

      • Foundational hands-on experience with eligibility, member and claims data within healthcare analytics and/or claims processing environments
      • Deep knowledge of healthcare claims data — claims data, NCPDP, Member & Eligibility files, and standard transaction formats (837/835/271).
      • Advanced SQL: you can write, read, debug, and performance-tune complex queries against large claims datasets without assistance.
      • Hands-on experience within of a modern BI/reporting platform and a cloud data warehouse (Snowflake or comparable).
      • Demonstrated success building or overhauling client-facing reporting from an immature or inconsistent foundation.
      • Business acumen and judgment, excellent written and verbal communication with both internal executives and external clients — able to defend a number, hold ground with evidence, and name uncertainty where it exists.
      • Proven ability to integrate data across disparate, loosely documented sources and pinpoint the discrepancies that explain reporting inconsistencies.
      • Comfortable operating with limited structure and ambiguity, prioritizing independently against business goals.
      • Track record of surfacing and conducting root cause analysis on data-quality or reporting issues.
      Then Skills (maybe technical skills list). But we already covered many skills. Could separate technical skills: Advanced SQL, Snowflake, etc. However we might not need separate Skills if we already covered. But instruction says we can include Skills section if there is real specific content. We could extract skills like: Advanced SQL, Snowflake, healthcare claims data, etc. But we already have them in Qualifications. To avoid duplication, maybe we combine Qualifications and Skills into one. But we need to follow instruction: use headings for sections like Skills if content exists. We could create a Skills section for technical skills: Advanced SQL, Snowflake, etc. However we already have those in Qualifications. Might be okay to have both but risk duplication. Better to keep Qualifications as the main and maybe not include Skills. Benefits:

      Benefits

      • Work from anywhere in the US! Machinify is digital-first.
      • Top Medical/Dental/Vision offerings
      • FSA/HSA
      • Tuition reimbursement
      • Competitive salary, 401(k) with company match
      • Additional health and wellness benefits and perks
      • Flexible and trusting environment where you’ll feel empowered to do your best work
      Pay:

      Pay

      Pay Range: $110,000 - $120,000 (based on years and depth of experience, skill set, certifications, etc.)

      We should not include Schedule. Now ensure we didn't include any boilerplate like EEO etc. We removed. Check that we preserved all substantive information: The About the role paragraph includes all description. Did we miss any sentences? Let's verify original text: "Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. The Healthcare Business Intelligence and Analytics (BIA) Manager owns client reporting, compliance reporting, and performance analytics spanning various programs. This position will primarily focus on healthcare eligibility and claims datasets. The BIA manager builds and maintains the metrics, dashboards, and recurring reporting that clients and other internal & external stakeholders rely on to understand program performance. This is a contributor-manager position. Alongside managing your analysts, you will remain hands-on in the data — writing SQL, building reports, and working claims-level detail — while establishing the standards, definitions, and roadmap for the team. You will manage an uneven reporting landscape with data gaps and challenges, across multiple client programs and turn it into quality reporting that can be trusted without revalidation needed." We included all that. Responsibilities: we captured each bullet from "What You’ll Do". Let's verify we didn't miss any: Original bullet

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