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Data Reporting and Analytics Consultant V, Clinical Care Delivery and QA MD, DC, VA

Job in Hyattsville, Prince George's County, Maryland, 20780, USA
Listing for: Kaiser Permanente
Full Time position
Listed on 2025-12-18
Job specializations:
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below
Position: Data Reporting and Analytics Consultant V, Clinical Care Delivery and QA - (MD, DC, VA)

Data Reporting and Analytics Consultant V, Clinical Care Delivery and QA

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Job Summary

In addition to the responsibilities listed below, this position is also responsible for collecting regulatory requirements; translating complex regulatory requirements to reporting rules that fit with how KP operates and stores data; and creating data reports to influence quality and clinical care decisions.

  • Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and develop weaknesses;

    and adapting to and learning from change, difficulties, and feedback.
  • Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks as appropriate;

    monitoring progress and results; recognizing and capitalizing on improvement opportunities; and evaluating recommendations made by others.
  • Interprets complex data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; participating in peer reviews; and providing context related to data interpretations and/or limitations as appropriate.
  • Leads the development of advanced analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; translating models and gaining stakeholder buy-in for implementation; creating complex models leading to actionable insights; and testing, refining, and validating models.
  • Designs, implements, and automates business and reporting solutions by partnering with stakeholders to advise in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; designing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions;

    and preparing documentation as appropriate.
  • Drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by defining and calculating complex metrics to be analyzed; defining, calculating, and validating algorithms; and conducting complex analyses, including descriptive, correlational, inferential, and/or predictive statistics.
  • Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; collaborating with stakeholders and source system owners to resolve data quality issues as appropriate; and cleaning and creating final data set(s) for analysis.
  • Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across internal and external sources; completing routine data refresh and update; developing and/or delivering complex tools for electronic data collection; and providing user training, support, and…
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