Data Reporting and Analytics Consultant III Main

Kaiser Permanente; Alexandria (VA); On-site; USD 60,000 - 100,000; Full time

Job summary

An established industry player seeks a data analyst to support data-informed decisions and develop analytical models. In this role, you will gather and prepare data for analysis, ensuring quality and accuracy while collaborating with stakeholders to implement business solutions. You will leverage your expertise in data extraction, mining, and visualization to drive actionable insights. This position offers an exciting opportunity to influence business outcomes through creative data analytic approaches in a dynamic environment. If you are passionate about data and eager to make a difference, this role is for you.

Qualifications

• Bachelor's degree in a relevant field and 3+ years in data analytics.
• Experience with data extraction, mining, and visualization.

Responsibilities

• Support data-informed decisions and develop analytical models.
• Gather and prepare data for analysis, ensuring quality and accuracy.

Skills

Data Extraction

Data Mining

Data Visualization Tools

Statistical Programming Language

Relational Database Management

Project Management

Business Planning

Written Communication

Education

Bachelor's degree in Mathematics

Bachelor's degree in Statistics

Bachelor's degree in Engineering

Bachelor's degree in Social/Physical/Life Science

Bachelor's degree in Business

Job description

Salary ranges are geographically based and the posted range reflects the CA region. Lower salary ranges will apply for other labor markets outside of CA.

Job Summary:

This individual contributor is primarily responsible for supporting data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, and preparing data for analytic efforts. This position supports the execution of creative data analytic approaches leading to actionable outcomes, develops, implements, and automates business and reporting solutions, supports data analysis interpretation, and supports and develops analytical and/or statistical models enabling informed business decisions.

Essential Responsibilities:

1. Professional Development and Collaboration: 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.
2. Work Execution: 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.
3. Model Development: 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.
4. Data Gathering: 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.
5. Data Analysis Interpretation: 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.
6. Business and Reporting Solutions: 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.
7. Data Preparation: 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.
8. Supporting Data-Informed Decisions: 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.
9. Creative Data Analytic Approaches: 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:

• Bachelor's 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): Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Project Management; Business Planning