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Data Analyst - 75-80k in Birmingham at Vaco

Date Posted: 10/18/2018

Job Snapshot

Job Description

The ideal candidate will have experience collecting user requirements, data analysis, documenting technical specifications, and understand core data characteristics. The role influences others in IT through sharing of specialized business intelligence technical knowledge. The ability to understand complex business needs, logical problem-solving skills, and strong written and verbal communication skills are required. Additionally, a strong understanding of database methodology, data analysis and business intelligence applications are required.


Map data source attributes to governed attribute definitions

Research data requests to determine availability, sourcing and fulfillment options

Work with Business Analysts to provide technical guidance and design for project and data requests

Identifying patterns and help the business react to changing business conditions

Perform root cause analysis on data quality issues

Identify data anomalies and work with data stewards in other units to develop policies and best practices

Monitor the state of data quality within their scope of responsibility

Work toward established goals for data quality improvement

Identify the best approaches for resolving data quality issues

Formulate business rules governing use of the data, including security and data life cycle management

Escalate problems where necessary to leaders of the data quality initiative

Actively participate in Team design reviews and co-operative project design initiatives

Create and maintain quality documentation for technical and non-technical staff

Participate in the testing and implementation of technology solutions

Work directly with Developers, Line of Business Data Stewards, and Business Analysts on data requirements and Quality Assurance

Support validation processes that profile data attributes against their intended meaning


Bachelor's degree or equivalent certifications / experience required

Experience with Microsoft SQL Server (specifically SQL Server 2012) and/or Oracle preferred

Database and SQL experience preferred

IT analysis experience required

Data Analysis/Data Stewardship or relevant work experience. Experience in actuarial sciences a Plus

2+ years of Business Intelligence application delivery using the Microsoft Business Intelligence stack (SSIS, SSAS, SSRS, SQL Server) a plus

Experience working on a project team using a waterfall methodology required. Agile SDLC methodology preferred

Experience in relational and dimensional data modeling required

Fundamental understanding of Service Management with ITIL is a plus, ITIL Foundation V3 Certification preferred

knowledge of BI and analytics

knowledge of structured data, such as entities, classes, hierarchies, relationships and metadata

Knowledge of database management system (DBMS) including tables, joins and SQL querying