Data Reporting and Analytics Consultant III, Programming (Durational with Benefits)

    • Kaiser Permanente
  • Pasadena, CA
  • Posted 37 days ago | Updated 1 hour ago

Overview

On Site
USD 90,300.00 - 116,820.00 per year
Full Time

Skills

Database administration
Programming languages
SAS/SQL
Data management
Quality control
Data entry
Data loading
Statistical models
Data collection
End-user training
Data Analysis
Decision-making
Business intelligence
Business requirements
Life sciences
Data integration
IBM Cognos Report Studio
Data extraction
Data mining
Data Visualization
Project management
Business planning
SAS/GRAPH
Statistics
SAS/MACROS
Health care
Collaboration
Data
Reporting
Analytics
Software development
Analytical skill
SPSS
R
Python
Supervision
Management
Mentorship
Creativity
Policies
Leadership
Testing
Documentation
Presentations
Design
Planning
Organizational skills
IMPACT
Training
Metrics
Algorithms
Mathematics
SAS
SQL
Communication
Research
LOS
Administration
SCAL
Evaluation
AIM

Job Details

Description:
Job Summary:

In addition to the responsibilities listed below, this position is also responsible for programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.), data management, and quality control support for a wide variety of projects under the supervision of more senior employees; overseeing all phases of data management, quality control, and reporting; and defining analytical variables collaboratively with other researchers and statisticians.

This position is also responsible for performing analytical tasks using appropriate analytical tools; designing and generating tracking and data entry tools as needed; designing automated reporting and data loading schemes; designing comprehensive quality checking and validation process; and designing troubleshooting software and programs.

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.

  • Supports and develops analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Supports the execution of creative data analytic approaches leading to actionable outcomes by identifying metrics to be analyzed; calculating algorithms; and conducting analyses under the guidance of more senior employees, including descriptive, correlational, inferential, and/or predictive statistics.


Minimum Qualifications:

  • Minimum three (3) years experience programming with SAS, SQL, R or other similar analytical programming language.

  • Minimum three (3) years data management experience with SAS, SQL, R or other similar analytical programming language.

  • Bachelors degree in Mathematics, Statistics, 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.


Additional Requirements:

  • Knowledge, Skills, and Abilities (KSAs): Data Integration; SAS Tools; SQL/SAS; Web Report Studio; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning

Preferred Qualifications:
  • Two (2) years health or medical research experience.
  • Two (2) years experience creating graphics and presentations using SAS GRAPH.
  • Two (2) years experience programming in SQL.
  • Two (2) years experience working with SAS.
  • Master's degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field.
  • Two (2) years experience working with statistical analysis software.
  • Two (2) years experience developing and programming with SAS macros.


Primary Location: California,Pasadena,S. Los Robles Administration 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 Employee Status: Regular Employee Group/Union Affiliation: NUE-SCAL-01|NUE|Non Union Employee Job Level: Individual Contributor Specialty: Data Analytics & Reporting Department: Department of Research and Evaluation Pay Range: $90300 - $116820 / 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: Yes, 5 % of the Time 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.