Data Analyst | TELECOMMUTE |

Data AnalystPosition: ContractWork Location: Austin, Texas or telecommute based elsewhereWork Hours: Regular shifts of 9 AM to 5 PM; while the candidate should be flexible given critical business deliverablesDescription: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 solutionCreate analytical reports and Tableau/Power BI dashboards as

per specifications received from business partnersAnalyze large amounts of information to discover trends, patterns and insightsManage day to day leadership and stakeholder communication including development planDevelop impactful presentations and documents to communicate analysis outputParticipate in business brainstorming session and drive solution approach for a given problem at handIdeal 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 degreesVery good communication skills in English (spoken and written)Good knowledge of Business intelligence & Dashboarding tools like Tableau/Power BI, etc.Good knowledge of SQLMust have sound knowledge of tabular data handling & manipulationKnowledge of statistical programming language such as R/PythonUnderstanding & experience of Bigdata techniques such as HDFS, Hive, Spark, MAPRDB etc.