Data Analyst -

Data Analyst -

The Data Analyst is a hands-on professional working with IT peers and business stakeholders to define and execute an enterprise data architecture that supports the company's business strategy.  This role will also analyze business needs, develop logical data models, and develop related procedures.
 
This position will also actively work on data warehouse management, business intelligence, meta data management, and system interfaces.  And they will interact with key functional areas such as Merchandising, Marketing, and Finance.

Understanding of current industry-standard data architecture, platforms, and solutions
Understanding of common information architecture frameworks and information models
Experience with IBM/Netezza and MicroStrategy is preferred
Experience bringing together data from all enterprise systems
Experience building a data warehouse and BI reference architecture
Experience with system integration including data interface design, API, ETL, etc.
Expertise in data-modeling and information classification
Expertise in SQL and ability to write complex SQL for analyzing data
Skills with databases like Oracle and DB2
Skills with extract, transform, and load (ETL) tools
Skills with Python, C/C++ Java, Perl
Skills with modeling, query and reporting tools like MicroStrategy
Bachelor's degree in computer science, information systems, or related field
At least 5-7 years of experience in IT, with at least 3-5 years in data warehouse design and support

RESPONSIBILITIES:
Define and implement the data strategy and data architecture roadmap
Design a plan to integrate, centralize, protect, and maintain data
Build an inventory of data needed to implement the architecture
Develop and communicate data architectural policies, standards, and guidelines
Explain the data technology strategy, and align that strategy with business goals
Implement controls to ensure data accuracy and accessibility
Collaborate with IT teams to ensure delivery of services meets data standards
Work with project teams to fit projects to enterprise data architecture
Oversee the data governance program
Ensure new databases conform to company data standards & guidelines
Ensure new databases are consistent, normalized, and secured
Create/modify database tables, views, indexes for testing
Identify and evaluate current data management technologies
Monitor and report on performance of data management systems