Data Reporting and Analytics Consultant III, Programming - SQL, SAS

Overview

On Site
Compensation information provided in the description
Full Time

Skills

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

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 conducting statistical analysis in SAS STAT.


Primary Location: California,Pleasanton,Pleasanton Tech Cntr Building E Additional Locations:

1950 Franklin, 1950 Franklin St., Oakland,California, 94612 Scheduled Weekly Hours: 40 Shift: Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: 09:00 AM Working Hours End: 05:00 PM Job Schedule: Full-time Job Type: Standard Worker Location: Flexible Employee Status: Regular Employee Group/Union Affiliation: NUE-NCAL-09|NUE|Non Union Employee Job Level: Individual Contributor Specialty: Government Relations Department: Oakland Reg - 1950 Franklin - Clinical Documentation Svcs - 0206 Pay Range: $104500 - $135190 / 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 Flexible: Work location is on-site at a KP location, with the flexibility to work from home. 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.