Data Analyst

Queen Associates, Inc. Fort Mill , SC 29707

Posted 2 months ago

Queen Associates and our client are searching for a Data Analyst for a contract opportunity in Fort Mill, SC.

US citizens and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1B candidates at this time.

Compensation: $45-55/hour w2 + health benefits + 401k participation


Data Engineer has the end-to-end vision of conceptual, physical, and logical storage of data and how analysts, applications, and data scientists consume it. We'll look to you to recognize and identify patterns in data relationships from disparate systems and create data management solutions.

You will design and build scalable infrastructure platforms to collect and process large amounts of structured and unstructured data that will be consumed in near real-time. Responsibilities On a day-to-day basis, you will work on a team responsible for all aspects of data including timeliness, accuracy, consumption, and security. You will communicate with business analysts, data scientists, and business leaders to understand and meet their data needs.

You will be tasked with identifying and executing on best practices. You will work on designing and implementing next generation data solution.

Preferred Background

Experience in application development, ETL development, report development and/or other data warehouse projects to bring a well-rounded perspective of the big picture understanding of dimensional modeling and data warehouse

Experience with Query, Database, Cube tuning

A sense of humor, thirst for knowledge, and a commitment to continuous improvement

Technology stack: Microsoft BI Stack:

SQL Server 2016, SSIS, SSAS (multidimensional and tabular), Power BI, SSRS Both on-premise and in the cloud Experience: Very hands on with data Reporting Services Data Warehousing exp, Data Architect- Nice to have ETL exp Data Model concepts- Kimball, data vault Problem solving with data, Maneuvering data, challenging the data

Would like a background in: Data Analytics Digital Marketing; webpages, commerce, phone calls, etc. Healthcare is a plus

Not needed but ok to have: Big Data: Hadoop, Hive, Kafka, NOSQL, event streams MYSQL SCALA and Spark


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Data Analyst

Queen Associates, Inc.