Analytics Manager

Posted 6 Hours Ago
Be an Early Applicant
La Vista, NE, USA
In-Office
Senior level
Healthtech • Software • Analytics • Consulting
The Role
Leads healthcare analytics strategy, team development, and delivery of dashboards, reports, measures, data models, and exploratory analyses. Performs advanced SQL development, data validation, quality assurance, and interpretation of clinical and operational data. Partners with clinicians and stakeholders on improvement initiatives, oversees analytics platforms and governance, and evaluates AI and automation opportunities. Manages priorities, performance, vendors, resources, and strategic objectives while contributing directly to complex analytics projects.
Summary Generated by Built In

About Us:

CyncHealth is a statewide Health Information Exchange (HIE) with a purpose to achieve health care transformation through community betterment and collaboration while protecting the security and privacy of medical information. Join our team to play a key role in leading a health data utility, advancing interoperability, and improving healthcare.

Position Summary:

The Analytics Manager leads the development and delivery of healthcare analytics solutions that transform clinical, operational, and health information exchange data into actionable insights. This position establishes priorities and standards for the analytics function, manages and develops the analytics team, and partners with internal departments, participants, clinicians, and other stakeholders to identify analytical needs and support measurable improvement initiatives.

The Analytics Manager also serves as a working manager and is expected to contribute directly to complex analytics projects, including data exploration, SQL development, measure design, dashboard development, quality assurance, and interpretation of analytical findings. The position also supports responsible data governance, appropriate use of healthcare data, and continued development of CyncHealth’s analytical capabilities.

Responsibilities include, but are not limited to the following:

  • Develop and maintain the healthcare analytics strategy and technical roadmap in alignment with organizational priorities and stakeholder needs.
  • Lead the design, development, validation, and delivery of analytical products, including dashboards, reports, measures, data models, and exploratory analyses.
  • Translate clinical, operational, public health, and business questions into clearly defined analytical requirements and deliverables.
  • Perform and review complex SQL queries involving multiple tables, subqueries, joins, and large healthcare datasets.
  • Establish analytical methodologies, documentation standards, quality assurance procedures, and repeatable development processes.
  • Lead the design of public health, clinical informatics, population health, utilization, and healthcare quality analytics solutions.
  • Develop and monitor measures that evaluate the utilization, performance, quality, and value of CyncHealth programs and services.
  • Provide oversight and ownership of analytics platforms, data pipelines, dashboards, data quality, and analytical product delivery to ensure reliable, accurate, and timely analytics capabilities.
  • Operationalize data governance and master data management policies, processes, and corresponding solutions consistent with CyncHealth’s privacy and security policies.
  • Evaluate and responsibly implement artificial intelligence, machine learning, and automation, opportunities that improve analytical capabilities, operational efficiency, or stakeholder value.
  • Serve as a subject matter expert for healthcare analytics, data interpretation, and analytical best practices both internally and externally.
  • Partner with clinicians, operational leaders, participants, and other stakeholders to interpret analytical findings and translate them into meaningful improvement initiatives.
  • Lead and manage a team, including responsibility for planning and managing work priorities, performance of duties, achievement of initiatives, and providing direction and directives to direct reports. Provide regular and ongoing feedback, including conducting performance conversations with direct reports.
  • Understand organizational strategic planning goals and cascade relevant information to direct reports.
  • Support interdepartmental efforts to meet operational and strategic objectives.
  • Manage assigned business function in alignment with the strategic plan and leadership expectations, including development and implementation of OKRs or supplemental business function strategic planning to meet organizational objectives.
  • Partner with vendor management, and other internal stakeholders as needed, to deliver effective vendor management when identified as the business owner for a vendor which may include but is not limited to relationship management, contract deadlines, and invoice approvals. Responsible for effectively managing available resources in alignment with fiscal stewardship.
  • Protect assets and the integrity, security, and privacy of information entrusted to or maintained by the organization.
  • Model CyncHealth’s values and Code of Conduct.
  • Other duties as assigned.

Experience/Requirements:

  • Bachelor’s degree in data analytics, health informatics, computer science, public health, statistics, or a related field required. Master’s degree preferred. Relevant professional experience may be considered in lieu of an advanced degree.
  • Minimum of seven years of progressively responsible experience working with healthcare data, analytics, informatics, business intelligence, or a related discipline.
  • Previous experience leading complex analytical projects and managing, supervising, or mentoring analytics professionals.
  • Experience working with clinical, electronic health record, health information exchange, public health, claims, or other healthcare data.
  • Advanced SQL skills, including the ability to develop, review, and optimize queries involving multiple tables, joins, subqueries, common table expressions, and large datasets.
  • Experience developing and maintaining databases, data models, dashboards, reports, measures, and other analytical products.
  • Experience with Microsoft Power BI, Tableau, or a comparable business intelligence and data visualization platform.
  • Advanced understanding of data mining, statistical analysis, predictive analytics, data mapping, and the integration of data from on-premises and cloud-based systems.
  • Experience defining analytical measures, methodologies, business rules, technical specifications, and validation procedures.
  • Experience performing data validation, quality assurance, and reconciliation to ensure the accuracy, completeness, and reliability of analytical outputs.
  • Familiarity with healthcare data standards, coding systems, and terminology, such as HL7, FHIR, CCD, ICD-10-CM, CPT, HCPCS, LOINC, SNOMED CT, or RxNorm, preferred.
  • Familiarity with Python, R, or another analytical programming language preferred.
  • Understanding of healthcare data privacy, security, and appropriate data-use requirements, including HIPAA.
  • Ability to manage analytical projects, establish priorities, address competing demands, and deliver work within established timelines.
  • Ability to translate complex clinical, operational, and business questions into clearly defined analytical requirements and deliverables.
  • Ability to interpret complex analytical findings and communicate actionable recommendations to clinical, operational, technical, and executive audiences.
  • Ability to serve as a working manager, splitting time between leading a team and executing direct work.
  • Ability to coach, mentor, and develop direct reports.
  • Ability to effectively delegate work and manage workload of direct reports.
  • Ability to provide constructive feedback and manage performance of direct reports.
  • Ability to foster collaboration across teams and departments.
  • Strong conflict resolution and interpersonal skills.
  • Ability to adopt and lead teams through change.
  • Strong communication and presentation skills.
  • Strong organizational and time management skills.

Physical Requirements:

  • Ability to work on a computer for extended periods of time.
  • Ability to stand or sit for extended periods of time.
  • Hours are generally Monday-Friday, 8:00 AM-5:00 PM. As operational deliverable deadlines emerge there may be extended working hours.
  • Light work requiring exertion up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects.
  • Ability to work from La Vista, NE office with reliable and predictable attendance.

Benefits:

  • Medical, Dental, & Vision
  • 20 days paid time off annually + 9 paid holidays annually.
  • Long & short-term disability (fully paid by CyncHealth)
  • Life Insurance (fully paid by CyncHealth)
  • 401(k) with 4% matching & immediate vesting
  • Parental Leave
  • Pet Insurance
  • Other voluntary benefits

Disclaimer:
The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. The statements are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required for this position.

Must be authorized to work in the United States.

Skills Required

  • Bachelor's degree in data analytics, health informatics, computer science, public health, statistics, or a related field
  • Minimum seven years of progressively responsible experience with healthcare data, analytics, informatics, business intelligence, or a related discipline
  • Experience leading complex analytical projects and managing, supervising, or mentoring analytics professionals
  • Experience working with clinical, electronic health record, health information exchange, public health, claims, or other healthcare data
  • Advanced SQL skills, including multi-table joins, subqueries, common table expressions, and large datasets
  • Experience developing and maintaining databases, data models, dashboards, reports, measures, and analytical products
  • Experience with Microsoft Power BI, Tableau, or a comparable business intelligence and data visualization platform
  • Advanced understanding of data mining, statistical analysis, predictive analytics, data mapping, and on-premises and cloud data integration
  • Experience defining analytical measures, methodologies, business rules, technical specifications, and validation procedures
  • Experience performing data validation, quality assurance, and reconciliation
  • Familiarity with healthcare data standards, coding systems, and terminology including HL7, FHIR, CCD, ICD-10-CM, CPT, HCPCS, LOINC, SNOMED CT, or RxNorm
  • Familiarity with Python, R, or another analytical programming language
  • Understanding of healthcare data privacy, security, and appropriate data-use requirements, including HIPAA
  • Ability to manage analytical projects, establish priorities, address competing demands, and meet timelines
  • Ability to translate complex clinical, operational, and business questions into analytical requirements and deliverables
  • Ability to interpret complex analytical findings and communicate actionable recommendations to varied audiences
  • Ability to work as a working manager while executing direct analytics work
  • Ability to coach, mentor, develop, delegate to, and manage the performance of direct reports
  • Strong collaboration, conflict resolution, communication, presentation, organizational, and time-management skills
  • Ability to work from the La Vista, Nebraska office with reliable and predictable attendance
  • Must be authorized to work in the United States
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The Company
HQ: Omaha, NE
71 Employees
Year Founded: 2008

What We Do

CyncHealth Advisors is a team of leading experts in healthcare and data science focused on designing and building the CyncHealth health data utility. They provide data-driven healthcare consulting and analytics to help participants analyze utilization trends, determine effective care management strategies, detect fraud and abuse, and direct funding toward high-value care initiatives, ultimately helping healthcare organizations deliver better patient care.

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