Lead IT Data Analyst

Centene Corporation
8dHybrid

About The Position

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT Position Purpose: Leads the integration, conforming, profiling and mapping of complex data, and leads quality assurance oversight (data error detection and correction) on business processes where data is collected, stored, transformed, or used. Reviews more complex data to optimize the efficiency and quality of the data being collected, identifies and resolves complex data quality problems, and collaborates with the business and ETL database developers to improve systems and database designs. Leads the work to interpret and analyze complex data from multiple sources including claims, provider, member, and encounters data. Proactively identifies and assesses the business impact of trends Leads the development, execution, maintenance, and troubleshooting of complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools Oversees the root-cause analysis of data irregularities and implements approved solutions Leads multiple complex and variable tasks and data review processes with no supervision within targeted timelines and provides leadership in a demanding, quickly changing environment Leads the delivery of business solution architecture and implementation validation Leads the efforts of data profiling and source to target mapping. Leads the work on complex data integration from disparate sources. Applies advanced expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understands how customers interact with analytic products Supports multiple functions and levels of the organization and effectively, both verbally and visually, communicates findings and insights to non-technical business partners Engages with customers and business partners to gather requirements and validate results Presents data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required Performs other duties as assigned Complies with all policies and standards

Requirements

  • A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and requires 5 – 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.
  • Experience with Big Data
  • Data Processing Experience with Data Manipulation
  • Data Mining Experience with one or more of the following Programming Concepts
  • Programming Tools
  • Python (Programming Language)
  • SQL (Programming Language)
  • Experience with Agile Software Development
  • Intermediate - Seeks to acquire knowledge in area of specialty
  • Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions
  • Intermediate - Ability to work independently
  • Intermediate - Demonstrated analytical skills
  • Intermediate - Demonstrated project management skills
  • Intermediate - Demonstrates a high level of accuracy, even under pressure
  • Intermediate - Demonstrates excellent judgment and decision making skills
  • Intermediate - Ability to communicate and make recommendations to upper management
  • Intermediate - Ability to drive multiple projects to successful completion
  • Intermediate - Possesses technical aptitude

Nice To Haves

  • Experience with Adobe Customer Journey Analytics preferred

Responsibilities

  • Leads the integration, conforming, profiling and mapping of complex data
  • Leads quality assurance oversight (data error detection and correction) on business processes where data is collected, stored, transformed, or used
  • Reviews more complex data to optimize the efficiency and quality of the data being collected
  • Identifies and resolves complex data quality problems
  • Collaborates with the business and ETL database developers to improve systems and database designs
  • Leads the work to interpret and analyze complex data from multiple sources including claims, provider, member, and encounters data
  • Proactively identifies and assesses the business impact of trends
  • Leads the development, execution, maintenance, and troubleshooting of complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools
  • Oversees the root-cause analysis of data irregularities and implements approved solutions
  • Leads multiple complex and variable tasks and data review processes with no supervision within targeted timelines and provides leadership in a demanding, quickly changing environment
  • Leads the delivery of business solution architecture and implementation validation
  • Leads the efforts of data profiling and source to target mapping
  • Leads the work on complex data integration from disparate sources
  • Applies advanced expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understands how customers interact with analytic products
  • Supports multiple functions and levels of the organization and effectively, both verbally and visually, communicates findings and insights to non-technical business partners
  • Engages with customers and business partners to gather requirements and validate results
  • Presents data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required
  • Performs other duties as assigned
  • Complies with all policies and standards

Benefits

  • competitive pay
  • health insurance
  • 401K and stock purchase plans
  • tuition reimbursement
  • paid time off plus holidays
  • a flexible approach to work with remote, hybrid, field or office work schedules
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