Business Intelligence Engineer 2

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 The Business Intelligence Engineer 2 solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Business Intelligence Engineer 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

The Business Intelligence Engineer 2 within the HQRI Technology and Analytics (HTA) organization provides value to the HQRI Quality Audits and Compliance Support team by solving complex business problems using data from multiple (internal and external) sources. They provide insight to risk adjustment audits partners and support ensuring compliance with internal and external regulatory bodies.

The Business Intelligence Engineer 2 work assignments involve moderately complex tasks which include managing workflows, analyzing large data sets, and creating automation process flows. They will build pipelines and workflow tools that leverage SQL, Python, Microsoft Azure Synapse Analytics (ASA), and Microsoft Power Platform to support multiple audits. The BI Engineer 2 will be expected to build data structures that provide fit-for-purpose curated data solutions. These designs will be supported and documented via diagrams and visualization that the BI engineer creates and maintains for peers and leadership. The tools and processes that are created will have a strong focus on increased efficiency, optimization, and scalability.

Use your skills to make an impact
 

Required Qualifications

• Bachelor's Degree
• 1-4 years of technical experience in data analysis
• Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
• Expertise in assessing complex data sets and performing root cause analysis
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences
• Experience with data manipulation tools, business intelligence software, and object-oriented programming
• Ability to design and build normalized data structures to ensure data efficiency and integrity.
• Strategic Thinking/Visioning – Able to see and communicate the big picture
• Enthusiasm – Exhibits passions and excitement for our work and has a can-do attitude
• Ability to communicate findings and engage in dialog in a clear manner with teammates and business partners
  
   

Preferred Qualifications

• Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
• 1 or more years of experience in SQL, SAS or other data systems
• In-depth experience in Microsoft Excel including formulas, pivots, charts, graphs, etc.
• Experience with data mining and predictive modeling techniques
• Experience in automation and scripting …