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Data Reporting and Analytics Consultant II, Programming

Pleasanton, CA
Full-Time

Job 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, quality control, and reporting for projects as appropriate; extracting, manipulating, and merging large databases to create analytical datasets; performing simple analytical tasks using SAS or other analytical tools; maintaining and troubleshooting software and programs; and implementing automated reporting and data loading schemes.

Essential Responsibilities:

  • Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing 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 knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.

  • Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.

  • Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; 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 end-users; and documenting processes and deliverables.

  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.

  • Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.

  • Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.

  • Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.

Minimum Qualifications:

  • Minimum one (1) year experience programming with SAS, SQL, R or other similar analytical programming language.

  • Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field.


Additional Requirements:
  • Knowledge, Skills, and Abilities (KSAs): SAS Tools; SQL/SAS; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Written Communication

PDN-9e340270-7694-4484-b6db-cb4cf86d7aec
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, quality control, and reporting for projects as appropriate; extracting, manipulating, and merging large databases to create analytical datasets; performing simple analytical tasks using SAS or other analytical tools; maintaining and troubleshooting software and programs; and implementing automated reporting and data loading schemes.

Essential Responsibilities:

  • Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers; listening, responding to, and seeking performance feedback; acknowledging strengths and weaknesses; assessing 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 knowledge in subject area to meet deadlines; following procedures and policies and applying data, and resources to support projects or initiatives; collaborating with others, often cross-functionally, to solve business problems; supporting the completion of priorities, deadlines, and expectations; communicating progress and information; identifying and recommending ways to address improvement opportunities when possible; and escalating issues or risks as appropriate.

  • Assists with data analysis interpretation by organizing and editing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.

  • Supports data-informed decisions under the guidance of more senior employees by working with clients to identify and clarify key business needs; assisting in the development of outcomes and process measures; translating business requirements; informing data/information needs and data collection methods; 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 end-users; and documenting processes and deliverables.

  • Assists with data and information gathering for targeted variables in an established systematic fashion by cleaning and organizing data; querying, merging, and extracting data across sources; completing routine data refresh and update; and providing user support and documentation.

  • Supports data preparation for analytic efforts under the guidance of more senior employees by cleaning data to ensure quality and accuracy based on provided guidelines; and consolidating data.

  • Assists with the execution of creative data analytic approaches leading to actionable outcomes by organizing metrics to be analyzed and calculating algorithms and conducting basic analyses under the guidance of more senior employees, including descriptive statistics.

  • Assists with the development, implementation, and automation of business and reporting solutions by creating summary statistics; organizing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; identifying opportunities to improve exiting reporting solutions; and preparing documentation as appropriate.

Minimum Qualifications:

  • Minimum one (1) year experience programming with SAS, SQL, R or other similar analytical programming language.

  • Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field OR Minimum two (2) years experience in data analytics or a directly related field.


Additional Requirements:
  • Knowledge, Skills, and Abilities (KSAs): SAS Tools; SQL/SAS; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Written Communication

PDN-9e340270-7694-4484-b6db-cb4cf86d7aec

About Kaiser Permanente

At Kaiser Permanente, we’re all focused on helping people and providing high-quality, affordable health care services and to improve the health of our members and the communities we serve. Across our organization, we’re fiercely committed to our members, our mission, our communities, and each other. We know that each part of the Kaiser Permanente team is essential to our success. Together, we are more than 235,000 dedicated professionals working to advance Kaiser Permanente’s commitment to delivering a healthier tomorrow.

Driven by our collective passion at Kaiser Permanente, we strive to make health care more innovative and compassionate. With the wellness of our patients and our communities at heart, we work to revolutionize health and care from more than 650 locations in 8 states and D.C.

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Data Reporting and Analytics Consultant II, Programming
Kaiser Permanente
Pleasanton, CA
Feb 13, 2025
Full-time
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