Data Analyst | TELECOMMUTE |

Data Analyst

Position: Contract

Work Location: Austin, Texas or telecommute based elsewhere

Work Hours: Regular shifts of 9 AM to 5 PM; while the candidate should be flexible given critical business deliverables

Description:

The candidate will be supporting development of dashboards and reports along with adhoc data analysis for UHC Payment Integrity to enable governance & oversight of all vendor operations under UHC PI.

The team the candidate will be working:

• The team comprises of 1 Project Lead and 2-3 data analysts.
• The role would involve interacting with business stakeholders to understand requirements and creating reports/dashboards as per direction from project lead.
• Further the candidate would be required to interact with technology team to ensure production deployment of any regular reports and backend data transformation processes.

Roles & Responsibilities:

• Understand business requirements and convert into analytical solution
• Create analytical reports and Tableau/Power BI dashboards as per specifications received from business partners
• Analyze large amounts of information to discover trends, patterns and insights
• Manage day to day leadership and stakeholder communication including development plan
• Develop impactful presentations and documents to communicate analysis output
• Participate in business brainstorming session and drive solution approach for a given problem at hand

Ideal candidate background:

• The candidate should have 5-8 years of experience in reporting/dashboarding, data analysis/transformation and storytelling.
• The candidate should be comfortable in working with large data sets.

Qualifications & Requirements:

• Relevant educational degrees
• Very good communication skills in English (spoken and written)
• Good knowledge of Business intelligence & Dashboarding tools like Tableau/Power BI, etc.
• Good knowledge of SQL
• Must have sound knowledge of tabular data handling & manipulation
• Knowledge of statistical programming language such as R/Python
• Understanding & experience of Bigdata techniques such as HDFS, Hive, Spark, MAPRDB etc.