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Job Description
Responsible for providing enterprise/divisional thought leadership on data visualization and analytic report development. This includes supporting/monitoring the team development and application of visualization best practices, and providing development and consultative services to data viz users across the organization. Lead the creation, maintenance and communication of data visualization governance and development standards to continuously and proactively improve the quality of solution development and efficiency of processes across the enterprise.
Perform the role of thought leader and chief architect for data visualization based analytic solutions Analyze complex business problems or opportunities and prepare detailed specifications from which objects will be written Act as a technical resource for the team; provide assistance on system issues, work processes and procedures Independently perform all necessary discovery and fact finding to fully understand and execute all assignments Identify best practices, communicate and implement these practices to the department.
Work closely with Data & Analytics leadership to affect tactical and strategic decisions regarding the use of Tableau and data visualization Mentor and provide knowledge transfer to junior team members by guiding them on development best practices Design and architect high performance data visualization solutions to enable delivery analytic value and ensure they are maintainable and scalable as business needs dictate Facilitate cross-functional problem solving sessions to arrive at optimal solutions accounting for stakeholder needs to ensure successful project delivery.
Provide team status in various projects, escalate issues as needed, access and communicate risks to the development schedule and project to represent the VizTeam& interests in cross-functional project teams and ensure project success.
Create, maintain, and enforce data visualization governance and development standards to continuously and proactively improve the quality of solution development and efficiency of processes across the enterprise.
Assist management with employee development initiatives, including training.
Provide direction and assistance to junior staff members.
Facets and Healthcare Claims Processing knowledge is a must
Knowledge of CMS Guidelines
Well versed in FWA trends
Hiring Requirements
Bachelor's degree or advanced degree (where required)
8+ years of experience in related field.
In lieu of degree, 10+ years of experience in related field.
Salary Range
At Blue Cross NC , we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs. Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.
Based on annual corporate goal achievement and individual performance.
$118,691.00 - $189,906.00 Skills
Big Data, Complex Data Analysis, Data Analysis, Data Engineering, Data Mining, Data Modeling Techniques, Data Science, Data Visualization, Machine Learning (ML), Predictive Analytics, Predictive Modeling, Python (Programming Language), Statistical Analysis, Statistical Models
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on . If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: .
