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Data Analyst
Minnetonka, Minnesota  |  Remote, Onsite
Contract Position
It appears that you have already applied to this job.
Applied on August 15, 2022
Job Id #57348 Posted June 28, 2022

Projects the candidate will be working on:

  • Digital Fraud Intelligence & Technology is our Enterprise red flag /risk flag platform. We leverage detailed analytics and machine learning to identify and remediate digital fraud and privacy events. We inspect entity profile and augment enterprise’s perspective on risk.


  • Analyze raw data sources and data transformation requirements and perform data modeling against large data sets for peak efficiency
  • Analyze business requirements & functional specifications
  • Able to determine the impact of changes in current functionality of the system
  • Interaction with diverse Business Partners and Technical Workgroups
  • Solid healthcare domain knowledge • Design data solutions based on high-level architecture
  • Database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles
  • May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data

Experience :

  • Ability to function well in a team environment, excellent communication skills


  • Bachelor's Degree or equivalent experience
  • 3+ years of experience in Software Development Life Cycle (SDLC) – system development projects
  • Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Scala, Python, Unix)
  • Experience developing reports utilizing Tableau or other visualization software
  • Ability to design, build, optimize, and manage modern large-scale data pipelines to support data integration for reporting & analytics and machine learning features
  • Ability to consume data from a variety of sources (RDBMs, APIs, FTPs and other Cloud storage) & formats (Excel, CSV, XML, JSON, Parquet, Unstructured)
  • Ability to participate in architectural evolution of data engineering patterns, frameworks, systems, and platforms including defining best practices and standards for managing data collections and integration
  • Ability to work with data analysts and data engineers to deploy machine learning models for reporting consumption

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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You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

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


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