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Business Data Analyst in Columbia SC

Company:
vTech Solution
Location:
Columbia, South Carolina, United States
Posted:
December 07, 2018

Description:

Scope Of The Project:

SCDHHS is seeking expert Data Analysts to work directly with the Enterprise Operations Team to perform technical data analysis activities in support of the implementation of the SCDHHS data management strategy.

Daily Duties / Responsibilities:

The Data Operations (DO) Data Analyst is responsible for evaluating the data structures of the Medicaid enterprise. This position will provide data-based technical analysis on structures, metadata, and mastering rules for information technology solutions and non-technical solutions.

Data derived from the Data Analyst’s efforts will be used to shape SCDHHS’s ongoing strategy as well as dictate near real-time data transformation and quality efforts.

We are looking for candidates who are highly organized, can work independently in a fast-paced environment and can use data to drive healthcare quality improvement.

Essential Responsibilities:

1. Work alongside appropriate staff, teams, stakeholders and other points of contact (POCs) as required, to understand the goals and objectives of complex information systems

2. Analyze and document data requirements and relationships.

3. Document policy requirements and business rules to be carried over as to-be requirements.

4. Use feedback from technical and non-technical users to enhance data collection procedures to include information that is relevant for building analytic systems.

5. Use complex thinking and analysis to sift through large amounts of data to extract pertinent insights.

6. Write SQL, Python and R code without depending on a guided user interface.

7. Other related activities as assigned.

Program Experience:

Experience must include well-documented success in interpreting, analyzing and relaying results of data analysis to individuals and/or groups of varying experience with data analysis methodologies

Experience with conducting ad-hoc and regularly scheduled analysis and presenting results in a clear manner is ideal.

Experience with health information technology (HIT), Medicaid reporting, and experience in an outsourced healthcare insurance operations environment are preferred.

Technical Experience:

Experience with any or all the following technologies is desirable for this position:

• Data analysis and visualization using technology such as R, RStudio, QlikView, and Tableau

• Exposure to UML and architectural modeling using tools such as Rational and SPARX

• Big Data and NoSQL technologies such as MongoDB, Marklogic, Cassandra, and Hadoop

• Strong experience in a scripting language such as Python or R-

• Medicaid Management Information Systems (or other Health Information Technologies)

• The ideal candidate has experience in all of the following product categories with at least one of the corresponding vendor technologies:

Product Category Vendor Technology

Big Data, NoSQL Hortonworks, Cloudera, Intel,, Cassandra, MarkLogic, Couchbase,, Labs,, MongoDB

Pivotal Platform HAWQ, Gemfire, Spring XD, MADlib, PivotalR, Greenplum, PostgreSQL, PL/R, Pythonu, plpy

Data Modeling, UML, ERwin,, Rational Data Architect, Star Schema, Snowflake,, Navigator,

James Martin, IEF, IEW, 3rd Normal Form, ER/Studio, SA, RDA, ADRM, Big Data Modeling Techniques

ETL, ELT, ETML, EAI Sqoop, pig, Composite, Information Server, Custom, Informatica, ETI, Data Stage EE, SAS ETL, SSIS 2008; Talend

Metadata MITI MIMB,Unicorn, IBM Metadata Workbench, MetaStage, Ron Ross, Platinum Repository, Global IDS

Database Pivotal Hawq, Hortonworks, Kudu, z/OS DB2, UDB DB2, SQL Server, Netezza, Oracle, MySQL, PostgreSQL

Programming Languages C, C++, C#, Python, SQL, Scala, Julia, J2EE, Perl, Bash, JMS, Ruby on Rails, Clojure, JavaScript

Required Skills (Rank In Order Of Importance):

1. 5+ years of practical experience with data visualization and data analytics.

2. 5 + years’ experience with querying language

3. 5+ years of experience coordinating complex data architecture to align with business needs

4. Ability to create/interpret system and business process and business data models.

5. Requirements gathering experience

Preferred Skills (Rank In Order Of Importance):

1. Prior Health Information Technology and/or Program experience

2. Prior experience with South Carolina Medicaid, Social Services, or similar public benefit programs

3. Experience in an outsourced healthcare insurance operations environment.

required education/certifications:

1. College Degree or equivalent work experience required. Preference will be given to, in no particular order:

a. BS degree in Computer Science, Applied Math or similar discipline

Preferred Education/Certifications:

None

Skills:

Skills Required

Query Yes

Interpret business process and business data models Yes

Requirements Gathering Yes

EXPERIENCED DATA ANALYST WITH EXTENSIVE EXPERIENCE PERFORMING DATA MODELING, DATA MAPPING, DATA CLEANSING, AND BUILDING DATA DICTIONARIES. Yes

Expertise designing, implementing, and supporting Enterprise-grade technical solutions meeting complex business requirements Yes

Looking forward for your prompt and positive response.