Data Analyst Resume
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Baltimore, MD
SUMMARY:
- An accomplished data expert with extensive experience in data governance, risk management, product implementation, internal controls, integrations, migrations, data analysis data architecture, applications, and bringing it all together.
- A detail - oriented contributor able to efficiently coordinate with all levels of leadership, departments, peers, and third-party vendors to complete large scale projects within strict timelines.
- A dedicated collaborator that adapts to shifting requirements and project challenges with flexible thinking and enthusiasm.
TECHNICAL SKILLS:
Methodologies: Waterfall, Agile
Languages: SQL, .Net, ASP.net MVC4, HTML, C#, Informatica
Application Software: JIRA, ChangeGear, ALM, MS Visio, MS Project, MS Office, PowerPoint, SharePoint, Crystal Reports, Power BI, Alteryx Data Governance Tool, Tableau, Informatica Business Glossary
Database systems and tools: SQL Server, Altova MapForce, Informatica Metadata Manager (MDM), Informatica Data Quality Tool (IDQ), SQL Server Management Studio
PROFESSIONAL EXPERIENCE:
Confidential, Baltimore, MD
Data Analyst
Responsibilities:
- Established the Data Governance program by managing a Data Steward Council, developing data management policies and procedures, maintaining relationships with vendors and stakeholders, spreading data security awareness company-wide, organizing encryption and classification, documenting data dictionaries and business glossaries, and setting up data quality reports to minimize risk.
- Resolved thousands of data integrity issues after identifying data rules and gaps across multiple data systems, performing comprehensive research, designing data quality reports, and troubleshooting continual data integrity concerns in ad-hoc requests, automated reports, and production panics.
- Bridged business partners and requirements to onshore and offshore developers, accelerating project implementations, data acquisition, and reporting integrity.
- Delivered data analysis and data collection goals of a Policyholder Portal from creation to post-production future iterations by analyzing and ensuring data quality for hundreds of data elements previously unexposed to customers.
- Accelerated 65-80 product development projects and new data acquisition projects each year by analyzing and executing new data extracts, connecting resources across departments, establishing testing scenarios, ensuring data integrity, and gaining approval for each step of each project's lifecycle.
- Developed, documented, and implemented numerous data mappings, data extracts, calculation automations, and source to target mappings each year, enabling more frequent and accurate data, new data to sate demand, and multiple complete data migrations between vendors and systems.
- Introduced delivery approach and sequencing for customer's data solution proposals, including transition, design, and operationalization of data delivery, as well as providing technical direction, research, and training to peers in a collaborative environment.
Confidential, Memphis, TN
Data Analyst and Developer
Responsibilities:
- Implemented a data warehouse and dashboard solution from design to deployment to maintenance and modification for one of the largest organizations and districts in the nation.
- Planned and executed data migration from mainframe systems to modern SQL databases.
- Manipulated, formatted, processed and ETL mapped large data sets and databases for inter-departmental use and XML transformations for a data warehouse ODS.
- Created automated reports and report portals for several departments to facilitate time-critical processes by using methods such as SQL, Excel, Access, SSRS, SSIS, Power BI, Periscope, Crystal Reports, C#, and .Net MVC4 depending on customer requirements.
Confidential, Memphis, TN
Technical Specialist and Analyst
Responsibilities:
- Presented and gained approval for a new program from Memphis City Department of Commerce.
- Increased client base by 400% by overhauling training programs and specialized software.
- Improved lab's systems by deploying, defining, and updating the University's virtualized processes.
