Business Intelligence Engineer 2 Remote US

Profile

Description

Humana's Provider Attribution team is looking for a Business Intelligence Engineer 2 to join working remote anywhere in the US. Provider Attribution is the process of assigning patients to a provider or group of providers with the goal of identifying which providers have provided care to our members in the past and which providers are most likely to interact with members in the future. This team and the Provider Attribution process is a fundamental driver for clinical member and provider engagement, rewards, and network programs to influence and impact member care and outcomes, improve and obtain documentation required for accurate reimbursement, drive efficiencies in the health care delivery system, and establish reward and incentive programs for providers.

Responsibilities

As a member of this team, you will perform data analysis, develop algorithms and models and present technical information to a broad audience. You will consult with customers to identify business needs and provide guidance and direction in development of business solutions. You will provide guidance and support in the development of business requirements and solutions, provide actionable information, and ensure enterprise consistency in analytics and reporting.

Key Responsibilities

Ensure full and clear documentation of all projects, processes and scripts

Consult with customers to understand business needs and translate needs to technology and analytic solutions

Design, develop and deliver user specification into automated database solutions. Ensure quality, functionality, reliability and usability using the best technology to meet the business need

Perform architecture design, prototyping of concepts to proof concept, development of coding standards, development of automated testing scripts and audits, data solution debugging

Perform deep-dive analysis into performance in the attribution models to identify trends and outliers

Analytical support for the provider network and engagement teams to identify optimization opportunities

Leverage data to analyze and answer questions around metric variances

Reviews, analyzes, and modifies programming systems as needed

Create customized reports and communicate the findings and recommendations with business partners and/or senior leaders

Required Qualifications

Bachelor's Degree or equivalent related work experience

1 years of technical experience in data analysis

1 years of experience in SQL

Expertise in assessing complex data sets and performing root cause analysis

Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint

Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Work at Home/Remote Requirements

Must ensure designated work area is free from distractions during work hours and virtual meetings

Must provide a high-speed DSL or cable modem for a workspace (Satellite and Hotspots are prohibited). A minimum standard speed of 10x1 (10mbs download x 1mbs upload) for optimal performance of is required

Preferred Qualifications

Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field

In-depth experience in Microsoft Excel including formulas, pivots, charts, graphs, etc.

Experience with data mining and predictive modeling techniques

Ability to use data to drive business outcomes and decisions

Scheduled Weekly Hours

40

Company info

Humana Inc.
Website : http://www.humana.com