Sr. Analytics Engineer

Job Description  Data/Analytics Engineering Analyst – Experian Health, Remote role (anywhere in the United States) Company DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Job DescriptionReporting to the Analytics Engineering Manager, the Analytics Engineer will work as part of a team to develop advanced analytical solutions for Experian Health clients, including building new product initiatives for healthcare organizations. You will split your time focusing on data analytics while learning the industry and what delivers the highest value for our customers.You'll will:Have analytical skills to evaluate and interpret data both from an internal and client perspectiveUnderstand analytic questions and create data extract strategies, write SQL and interpret resultsUnderstand relational database structure and our goals to extract and organize relevant data for reporting analysisPerform complex data analysis, on time, to deliver analytics to help make better decisions along with managing and improving goalsCreate benchmarking analyses and data setsExperience pulling datasets from multiple source systems and aggregating in a data lakeAnalyze results and communicate ideas, both verbally and in writing to both technical and non-technical audiencesQualificationsQualifications:Bachelor's degree in Mathematics, Statistics, Computer Science or related discipline2+ years of experience building and supporting analytics backend systems for business intelligenceExperience extracting data from complex data warehouses using SQL and/or stored proceduresExperience with data flows, hierarchies, and data aggregationKnowledge of BI (Business Intelligence) reporting systems such as TableauUnderstand software development principles and operationsExperience with big data platforms such as Hadoop and ClouderaExperience with Python (pySpark, pandas) for data engineeringAnalytical Skills: Data Analysis, Logic, StatisticsExperience administering Tableau environment a plusComputer Applications: Tableau (or similar BI Tool), SQL, Hadoop (including Impala, Spark)Ability to work remotelyRequired Skills : Advanced SQL Python PySpark or Pandas Spark

Project - Building out internal benchmarking reports, pulling from Cloudera, Hadoop. This may eventually be external.

Pluses: Tableau, data governance, big data Basic Qualification : Additional Skills : Background Check : Yes Drug Screen : Yes Notes :Selling points for candidate :Project Verification Info :"The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management.

MSA: Restricted Client Letter: Will Not Provide"Exclusive to Apex :YesFace to face interview required :NoCandidate must be local :NoCandidate must be authorized to work without sponsorship ::NoInterview times set :YesType of project :Master Job Title :Branch Code :