Data Reporting and Analytics Consultant IV - Geospatial, Spatial, GIS, Python, Git, Docker, Kubernetes

Overview

Remote
On Site
Compensation information provided in the description
Full Time

Skills

Geographic information system
Docker
Kubernetes
Database
Network
R
Reporting
Design
Python
Open source
Geospatial analysis
Data processing
Storage
Analytics
Git
Optimization
Scalability
Transformation
Extract
transform
load
Data engineering
Unit testing
End-user training
Data quality
Data collection
IMPACT
Training
Documentation
Analytical skill
Metrics
Algorithms
Presentations
Decision-making
Data
Workflow
Relationship building
Leadership
Management
Mathematics
Statistics
Life sciences
Data Analysis
Negotiations
Business planning
Communication
Data extraction
Data mining
Data Visualization
Software development
Database administration
Vendor management
Process improvement
Project management
Performance management
Preventive maintenance
Regulatory affairs
PO
Policies
AIM
Health care
Collaboration

Job Details

Description:

Remote from any KP location in CA, OR, CO, WA, GA, MD, VA, HI or D.C. Only.

Job Summary:

A Python Developer, will be responsible for developing, maintaining, and improving data pipelines that integrate a variety of data sources, including APIs, databases, and shared network drives. The developer will work alongside a team of Business Consultants, Data Analysts and Developers, experienced in R and Python.

This individual contributor is primarily responsible for driving strategic data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, preparing data for analytic efforts, and interpreting data analyses. This position executes creative data analytic approaches leading to actionable outcomes, develops, implements, and automates business and reporting solutions, and develops analytical and/or statistical workflows enabling informed business decisions.

Essential Responsibilities:

  • Design, implement, and maintain data pipelines leveraging multiple data sources using Python.

  • Leverage common methods and toolsets (Both Open Source and Proprietary) for geospatial data processing, storage, and analytics.

  • Leverage Git to collaborate with other developers in maintenance and expansion of the team's established code base, including using branch/merge best practices and participating in reviews of pull requests.

  • Experience with dependency management and working in containerized environments

  • Ensure the optimization, scalability, and resilience of data extraction, transformation, and load (ETL) processes via data engineering best practices

  • Advocate for programming best practices such as encapsulation, abstraction, unit testing, and documentation. Develop and maintain internal packages for workflow standardization.

  • Gather 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.

  • Prepare 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; and cleaning and creating final data set(s) for analysis.

  • Collaborate with teammates and internal stakeholders to understand/define business needs. (Including: 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.)

  • Execute creative data analytic approaches leading to actionable outcomes by defining and calculating metrics to be analyzed; defining, calculating, and validating algorithms; and conducting analyses, including descriptive, correlational, inferential, and/or predictive statistics.

  • Interpret 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; and providing context related to data interpretations and/or limitations as appropriate.

  • Refine analysis into repeatable workflows and reports that can be automated.

  • Practice self-development and promote learning in others by proactively providing information, resources, advice, and expertise to coworkers and customers; building relationships with cross-functional stakeholders; influencing others through technical explanations and examples; adapting to competing demands and new responsibilities; listening and responding to, seeking, and addressing performance feedback; providing feedback to others; creating and executing plans to capitalize on strengths and develop weaknesses; supporting team collaboration; and adapting to and learning from change, difficulties, and feedback.

  • Complete work assignments and supports business-specific projects by applying expertise in subject area; supporting the development of work plans to meet business priorities and deadlines; ensuring team follows all procedures and policies; coordinating resources to accomplish priorities and deadlines; collaborating cross-functionally to make effective business decisions; solving complex problems; escalating high priority issues or risks as appropriate; and recognizing and capitalizing on improvement opportunities.


Minimum Qualifications:

  • Minimum one (1) year experience in a leadership role with or without direct reports.

  • Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum five (5) 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.


Additional Requirements:

  • Knowledge, Skills, and Abilities (KSAs): Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management

Preferred Qualifications:
  • Two (2) years project management experience.
  • Two (2) years experience in process improvement.


Primary Location: Oregon,Portland,Kaiser Permanente Building Additional Locations:

1800 Harrison, 1800 Harrison St., Oakland,California, 94612
East Annex - Parsons, 75 N. Fair Oaks Ave., Pasadena,California, 91103
Regional Admin Low Rise, 711 Kapiolani Blvd., Honolulu,Hawaii, 96813
Regional Office - 9 Piedmont, 9 Piedmont Center 3495 Piedmont Rd. NE, Atlanta,Georgia, 30305
Rockville Regional Offices, 2101 E. Jefferson St., Rockville,Maryland, 20852
Waterpark I, 2500 S. Havana St., Aurora,Colorado, 80014
California Service Center - Rio S.D., 8954 Rio San Diego Dr., San Diego,California, 92108
Capitol Hill Medical Center, 700 2nd St. NE, Washington,Dist of Columbia, 20002
Alexandria Medical Center, 3000 Potomac Ave., Alexandria,Virginia, 22305
Renton Administration - Adams, 2921 Naches Ave. SW, Renton,Washington, 98057 Scheduled Weekly Hours: 40 Shift: Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: 08:00 AM Working Hours End: 05:00 PM Job Schedule: Full-time Job Type: Standard Worker Location: Remote Employee Status: Regular Employee Group/Union Affiliation: NUE-PO-01|NUE|Non Union Employee Job Level: Individual Contributor Specialty: Government Relations Department: Po/Ho Corp - Ntl Provider Contracting-Proj - 0315 Pay Range: $106900 - $138270 / year The ranges posted above reflect the location in the job posting. The salary range may vary if you reside in a different location or state than the location posted. Travel: No Remote: Work location is the remote workplace (from home) within KP authorized states. Worker location must align with Kaiser Permanente's Authorized States policy. At Kaiser Permanente, equity, inclusion and diversity are inextricably linked to our mission, and we aim to make it a part of everything we do. We know that having a diverse and inclusive workforce makes Kaiser Permanente a better place to receive health care, a more supportive partner in our communities we serve, and a more fulfilling place to work. Working at Kaiser Permanente means that you agree to and abide by our commitment to equity and our expectation that we all work together to create an inclusive work environment focused on a sense of belonging and wellbeing.

Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.