What are the responsibilities and job description for the Senior Programmer Analyst position at Kaiser Permanente?
Overview:
We are seeking a senior-level individual contributor to design, develop, and support complex SQL-based reporting, analytics, and automation solutions, leveraging Databricks and Python for scalable data transformation, automation, and analytical reporting, and Power BI for enterprise reporting and visualization. This role supports a large, enterprise-scale production reporting environment consisting of a broad portfolio of scheduled report programs, dashboards, and database objects. The role independently develops and optimizes advanced SQL logic, troubleshoots and resolves complex data and reporting issues, enhances data workflows and analytical reporting with a high degree of accuracy and attention to detail, and contributes to major initiatives such as system transitions, remediation efforts, and large-scale data validation. This role is intended for experienced professionals who have independently designed, developed, and owned complex, production-grade analytics solutions in a production environment.
Job Summary:
In addition to the responsibilities listed below, this position is also responsible for overseeing all phases of data management, quality control, and reporting; programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.); taking lead role in analyzing and implementing data management, quality control, and reporting needs on multi-programmer projects; and troubleshooting complicated software processes and products. This position is also responsible for designing complicated automated reporting and data loading solutions; testing data conversions and data integrity from a wide variety of sources across platforms; developing complicated macros for various research and reporting purposes; designing comprehensive quality checking and validation process; and developing and evaluate complicated data linkage process. This position may supervise the work of lower level team members serving on the same project.
Essential Responsibilities:
- Practices self-development and promotes learning in others by proactively providing information, resources, advice, and expertise with 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.
- Completes 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.
- Executes 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.
- Develops, implements, and automates business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; developing 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.
- Interprets 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.
- Drives strategic 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.
- 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.
- 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.
- 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; and cleaning and creating final data set(s) for analysis.
Qualifications:
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 Integration
- SAS Tools
- SQL/SAS
- Web Report Studio
- Business Planning
- Data Extraction
- Data Mining
- Data Visualization Tools
- Project Management
- Relational Database Management
- Statistical Programming Language
- Written Communication
Minimum Qualifications:
- Minimum four (4) years data management experience with SAS, SQL, R or other similar analytical programming language.
- Minimum five (5) years experience programming with SAS, SQL, R or other similar analytical programming language.
- 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.
Preferred Qualifications:
- Three (3) years experience programming in SQL.
- Three (3) years programming experience.
- Three (3) years experience working with data visualization tools.
- Three (3) years experience working with business intelligence tools.
- Three (3) years experience working with data extraction and manipulation language.
- Three (3) years relational database experience.
- Two (2) years experience delivering presentations to management.
- Two (2) years experience in process improvement.
Salary : $123,800 - $160,160