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Data Analytics Manager
Wausau, Minnesota  |  Onsite
Contract Position
It appears that you have already applied to this job.
Applied on August 15, 2022
Job Id #57450 Posted July 1, 2022


  • Consultant Data Reporting & Analytics

Ideal Background:

  • Data Reporting, Visualization & analytics.
  • Healthcare Operations reporting & Analytics

Team and Team size:

  • Internal reporting team & IMS.

Top Responsibilities:

  • Demonstrates and applies understanding of modern development methodologies and tools to develop, deploy and maintain impactful, high-value solutions
  • Build and continuously evolve a body of current and upcoming technical domain knowledge relevant to role, problem space, and the enterprise (e.g. service architectures, containerization, public and hybrid cloud engineering, ETL, modern data platforms)
  • Maintain awareness of current engineering operations practices (e.g. DevOps, DataOps, SecOps, Data Science, Data Engineering), deepening expertise where most relevant to role and problem space
  • Accelerates delivery time to market through agility, design & coding best practices code reuse, automation and quality culture
  • Drives operational efficiency and manageability through use of DevOps practices (end-to-end ownership, everything-as-code, instrumentation)
  • Understands underlying solution architecture of solution and aligns or adapts it to optimize for business needs
  • Produces design models with high degree of complexity and connects multiple domains and technologies
  • Produces design models that describe enterprise solutions
  • Advocates for modern development technologies and appropriate use of emerging
  • Possesses high degree of practical engineering and/or business knowledge
  • Researches emerging technology that will optimize or automate systems, evaluates feasibility and recommends solution, ensuring automation is delivering business value
  • Effectively communicates with business stakeholders and technical team
  • Contributes to the identification/prioritization of solution through analysis and brainstorming
  • Sorts through large amounts of data to assess for relevancy
  • Seeks out multiple sources to gather information
  • Develops and implements scripts for maintenance, monitoring and performance tuning of database
  • Understand data structures and common methods to transform data for further analysis
  • Use modern tools and techniques & leverage modern technologies, e.g., AI/ML
  • Design scalable Extract, Transform and Load (ETL) packages
  • Define and build enterprise wide standard data models
  • Normalize data across different domains/systems

Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.

In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact

All applicants applying must be legally authorized to work in the country of employment.


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Horizontal is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.


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