Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Kaiser Permanente

Risk Adjustment Data Reporting Analyst III

Career Insights for Data Analyst

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Maryland data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.

$87,199 / year median in Maryland

+19% projected growth

Explore Career

Job Description

Job Summary:
This individual contributor is primarily responsible for supporting data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, and preparing data for analytic efforts. This position develops, implements, and automates business and reporting solutions and supporting data analysis interpretation.
Essential Responsibilities:
Pursues self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback. Completes work assignments by applying up-to-date expertise in subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data, and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate. Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation. Prepares data for analytic efforts by consolidating data; reviewing data for quality and accuracy; profiling data inaccuracies; and cleaning and creating final data set(s) for analysis. Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate. Supports data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making. Supports data-informed decisions by consulting with clients to identify and clarify key business needs; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing analysis plans; measuring the impact of business decisions on clients, customers, and/or members; working with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.
Knowledge, Skills and Abilities:
(Core) Ambiguity/Uncertainty Management Attention to
Detail Business Knowledge Communication Critical Thinking Cross-Group Collaboration Decision Making Dependability Diversity, Equity, and Inclusion Support Drives Results Facilitation Skills Health Care Industry Influencing Others Integrity Learning Agility Organizational Savvy Problem Solving Short- and Long-term Learning & Recall Teamwork Topic-Specific Communication Knowledge, Skills and Abilities:
(Functional)
Data Extraction Data Visualization Tools Relational Database Management Statistical Programming Language Minimum Qualifications:
Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Social/Physical/Life Science, Business, or related field and Minimum three (3) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.
Preferred Qualifications:
Accredited Project Management Certification. Accredited Process Improvement Certification.
PrimaryLocation :
Maryland,Fulton,Maple Lawn Call Center HoursPerWeek :
40
Shift :
Day Workdays :
Mon, Tue, Wed, Thu, Fri WorkingHoursStart :
09:00
AM WorkingHoursEnd :
05:00
PM Job Schedule :
Full-time Job Type :
Standard Employee Status :
Regular Employee Group/Union Affiliation :
NUE-PO-01
|NUE|
Non Union Employee Job Level :
Individual Contributor Job Category :
Data Analytics Department :
Po/Ho Corp - 3YP Core - 0308
Travel :
No Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.