Vacancy expired!
Data analyst
Philadelphia PA (ONLY Hybrid model )
Contract
The team's focus is uniform access and complete transparency for data assets to enable informed business
decisions that drive profitable growth. Manage the complete project lifecycle for new data integration, data integrity
and data standardization centered on single source of truth.
Required Skills and Experience:
Bachelor's degree in Computer Science, Information Technology or related field desired
Following knowledge and experience as noted
o SQL required
o Requirement Gathering - required
o AWS / Hadoop / Horton Works plus
o Small & Medium Business (SMB) Data Mart Experience - plus
o Teradata plus
o Informatica - plus
Minimum of 5 years relevant work experience
Ability to analyze data and work independently
Good organizational and interpersonal skills with the ability to work with various functional areas, including
field, Region, Division and Corporate personnel
Responsibilities:
Collaborate across multiple teams to understand business needs, analyze complex data, and integrate
Business data with other Enterprise data assets
Become the subject matter expert in the data and be able to articulate how it benefits business
stakeholders
Work with business units to document the requirements for enterprise base & semantic layer
Identify and build source to target mapping for Business data attributes.
Work with management team in estimating level of effort and timelines
Need to maintain detailed documentation through data lifecycle processing to ensure fully transparent
communication and meeting deadline expectations
Develop the business rules and logic in order to harmonize the data
Own creation of test plans and execution of User Acceptance Testing for stated data dependent
projects
Partner with HQ systems engineering and business units to process data in stage, journal, base and
semantic within Teradata and AWS / Hadoop / Horton Works
Partner with data architecture and project management teams throughout the project lifecycle
Support standardization efforts for referential data used for data analysis and project output
Provide regular status updates to leadership
