Sr Bi Data Analyst/quality Assurance (consultant) Resume
Salem, OR
SUMMARY:
- 10+ years of analytics and insights experience
- 6 years of systems optimization, integration, and quality assurance
- 4+ years of monitoring, analyzing, and integrating disparate systems and process improvements
TECHNICAL SUMMARY:
SAS, COGNOS, SAS, SQL Server, TSQL, SSIS, AWS S3, Athena, Jira, Confluence, Microstrategy, Tableau Server and Workfront for Agile.
PROFESSIONAL EXPERIENCE:
Confidential, Salem, OR
Sr BI Data Analyst/Quality Assurance (consultant)
Responsibilities:
- Successfully Identify granularity issues in SQL Server (SSMS) and work closely with Engineering to resolve adjacent problems and provide Business with viable software deliverables.
- Establish strong rapport with business partners and work closely with key stakeholders in understanding their business needs, and gather well - defined requirements necessary to transition all ad hoc reports from COGNOS to the reporting tool of record, SAS Visual Analytics.
- Test and validate distinct column count between legacy reporting system, COGNOS Impromptu and SAS VA dev.
- Design complex ERDs (Entity Relationship Diagrams) of SSMS tables and views for evaluating column granularity and referential integrity
Environment: SAS, Cognos, SQL Server, and Workfront for Agile
Confidential, Portland, OR
Senior Data Analyst
Responsibilities:
- Effectively and accurately, build complex SQL queries and provide corporate marketing with clean lists for direct communication efforts.
- Test and identify gaps in table attributes and advise developers of defects or missing data.
- Create and manage consensus relative to the adoption and implementation of an Agile/Scrum delivery team.
Environment: SQL Server, AWS Redshift, S3, Teradata, and Splunk
Confidential, Hillsboro, OR
Senior Data Analyst/Data Engineer
Responsibilities:
- Under highly time-sensitive deadline, successfully designed, documented, and architected pipelines to Consumer PII data embedded in Confidential Consumer Engineering team’s “Walled Garden”.
- Successfully managed various cloud and big data applications including AWS S3, Athena EMR and Hadoop, as a means of providing Global Cyber Incident Response and Confidential Corporate Legal with in-depth analytics relative to compromised Confidential digital accounts and bot credential stuffing attempts.
- Continuously evaluate attack vectors and provide recommendations to enhance response/security posture.
Environment: SAP, Jira, Confluence, NGAP2, AWS S3, Athena, Elastic Map Reduce (EMR), Hive, Spark and R
Confidential, Beaverton, OR
Senior Data Analyst
Responsibilities:
- Led the charge to establish critical data visualization tools (Tableau) and build comprehensive reports designed to illustrate IWS’s Resource to Plan initiative for FY19.
- Working closely with Finance, successfully compiled all Global IWS financial data, relative to budget and headcount and provide COE directors with viable financial information for better decision making.
Environment: Tableau Server, Tableau Desktop, Excel, PowerPoint and Smartsheet Collaboration
Confidential, Hillsboro, OR
Sr. Data Analyst
Responsibilities:
- Successfully reduced burn-down rates and return velocity to green in a highly critical Phase I software rollout.
- Effectively work with product owners and stakeholders in defining and executing critical user-stores and report enhancements to SAP Confidential Cloud Workflow.
- Successfully design and manage data integration of legacy commissions and compensation systems to Confidential
- Initiate and log pay reporting errors and follow vendor break/fix remedies in an Agile/Scrum environment
Environment: Cloud, Crystal Reports, Excel and Word
Confidential, Portland, OR
Lead IT Data Analyst
Responsibilities:
- Developed and led scrum teams designed to achieve bi-weekly sprint completions, maximize burn-down rate and achieve velocity forecast
- Successfully identified manual reporting practices and automated processes with SAP BusinessObjects, ultimately allowing business users faster data and more accurate information
- Performed software application testing and implementation and provide analysis for senior management.
Environment: SAP BusinessObjects, SAP InfoView, RPM, MS Access, Excel, SharePoint, and Tableau
Confidential, Beaverton, Oregon
Senior Data Analyst/DW Engineer
Responsibilities:
- Effectively designed and architected data mapping relative to star schema methodology in data warehouse build.
- Successfully design and build a SQL Server data warehouse with SSIS packages designed to ETL flat files from outside vendors and banking suppliers as a means of illustrating critical Fraud to Revenue measure and chargeback analysis.
- Engineered DPL virtual server, including data warehouse build, table column development, stored procedures, and systems administration.
Environment: Oracle SQL Developer, SQL Server, SSIS, Accertify
Confidential, Salem, Oregon
Data Analyst/Research
Responsibilities:
- Gathered, compiled, and reported various attributes relative to transit activities and identified gaps in statewide federal transit funding.
- Collaborated with Information Systems staff in designing and implementing new information platforms.
Environment: MS SQL Server 2008, Excel, Word and PowerPoint
Confidential, Juno Beach, Florida
Insights/Data Analyst
Responsibilities:
- Managed, documented, and quality checked frequently used Customer Data Warehouse (CDW) attributes and provided various requested reports.
- Provided technical assistance relative to sensitive utility and energy-related matters including case rates
Environment: Oracle SQL Developer, TOAD, SPSS, SharePoint, Lotus Notes, Excel, PowerPoint, and Access
Confidential, Boca Raton, FL
Senior Analyst, Category and Pricing Analytics
Responsibilities:
- Define and develop Category Business Planning (CBP) strategies relative to seasonal product roll outs.
- Analyze customer segmentation utilizing third party research including IRI and Nielsen data.
- Manage product pricing and promotional activities including POG and assortment change
- Develop price optimization, and KPI goals and align Direct (Web) marketing strategies with retail and contract pricing initiative relative to margin and revenue goals and forecasts.
- Manage competitive data and analyze monthly comp shops.
Environment: s: IBM DemandTec, IRI, Nielsen, Excel, SQL ManMan, and PowerPoint