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Job Description
Data/Analytics Engineering Analyst – Experian Health, Remote role (anywhere in the United States)
Company Description
Experian 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 Description
Reporting 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 perspective
- Understand analytic questions and create data extract strategies, write SQL and interpret results
- Understand relational database structure and our goals to extract and organize relevant data for reporting analysis
- Perform complex data analysis, on time, to deliver analytics to help make better decisions along with managing and improving goals
- Create benchmarking analyses and data sets
- Experience pulling datasets from multiple source systems and aggregating in a data lake
- Analyze results and communicate ideas, both verbally and in writing to both technical and non-technical audiences
Qualifications
Qualifications:
- Bachelor’s degree in Mathematics, Statistics, Computer Science or related discipline
- 2+ years of experience building and supporting analytics backend systems for business intelligence
- Experience extracting data from complex data warehouses using SQL and/or stored procedures
- Experience with data flows, hierarchies, and data aggregation
- Knowledge of BI (Business Intelligence) reporting systems such as Tableau
- Understand software development principles and operations
- Experience with big data platforms such as Hadoop and Cloudera
- Experience with Python (pySpark, pandas) for data engineering
- Analytical Skills: Data Analysis, Logic, Statistics
- Experience administering Tableau environment a plus
- Computer Applications: Tableau (or similar BI Tool), SQL, Hadoop (including Impala, Spark)
- Ability to work remotely
Thanks & Regards
Suresh Peddagoni
RapidIT, Inc.
4080 McGinnis Ferry Rd, Suite#1206
Alpharetta, GA 30005
Website: www.rapiditinc.com