Sr Enterprise Data Analyst Resume Chicago, IL - Hire IT People

SUMMARY

For the previous 7 years at BCBS of IL, I have excelled in challenging roles. Be it as an application developer leveraging DataStage, or as a senior enterprise data analyst in data lake environment, I strive to collaboratively develop the highest quality product, leveraging agile methodologies, building passionate teams, while being cognizant of time and cost constraints.
In my current role, I interact closely with product owners, architects, developers, business partners, and consumers to ensure that projects meet the present and future state requirements.
I am a trusted member and I am enthusiastic about taking on more responsibility, learning from others, and practicing in a diligent and meaningful way.
Solid understanding of software development lifecycles
Considerable expertise with understanding data
Expertise in coordinating with external or internal clients
Substantial experience in both analysis and development.
Persistent Learner with multiple certifications
Expertise in laying out and guiding long term vision and business strategy
Experience with both Agile and Waterfall methodologies
Expertise in creating reports and dashboards using various BI tools
Excellent oral and written communication
Certified ScrumMaster

PROFESSIONAL EXPERIENCE

Confidential, Chicago, IL

Sr Enterprise Data Analyst

Responsibilities:

Developed and maintained the product backlog for the Datalake Provider Domain product team.
Worked closely with business partners to gather requirements and rules and ensure alignment from development teams.
Worked closely with enterprise architecture groups to ensure that development specifications are aligned with logical and solution architecture designs.
Provided insight for vision and strategy of the product through presentations to business stakeholders and downstream consumers.
Chaired weekly meetings with consumers to discuss changes to needs and backlog additions.
Maintained Jira articles and tracked progress of sprint deliverables with dashboards
Collaborated with Business Product Owners & Data Stewards to Define Data Rule Expressions
Created Data Rules and Data Rule Definitions for Provider data using IGC for Data Governance measures and to ensure Data Quality.
Build dashboards for provider data metrics to present to management teams using Looker.
Performed comprehensive analysis on Provider data and existing and future state data models to ensure that product can manage both current state, interim state, and future state needs.
Worked closely with stakeholders to deliver multiple, cross functional projects that fully met requirements and fell within deliverable timelines.

Environment: / Tools: Hadoop, HDFS, CDC, Kafka, Spark, IIDR, Teradata SQL Assistant, Looker, JIRA, Grafana, IBM Information Governance Catalog, IBM Information Analyzer

Systems Analyst

Confidential

Responsibilities:

Responsible for the activation of Jira, Jenkins, and GitHub for ODS.
Served as primary engagement contact for enhancements for database operations and performance gaps across DMIH databases for multiple external teams.
Worked with onshore team to set up a testing approach on product testing and defects for ETL processes.
Transitioned from working in a RBDMS environment to the big data environment.
Developed scripts to ingest data in multiple formats from external sources into Hadoop ecosystem.
Created plans on future state tools after extensive analysis and research.
Worked with data modeling team to develop table specifications for different datalake layers.
Translated requirements to deliverables such as user cases, user stories, and functional specifications.

Environment: / Tools: Linux/Unix, Hadoop, HDFS, Sqoop, Talend, CDC, Toad 3.8, AIX, DB2, Mainframe, SQL assistant, IBM CDC 11.4, IBM Infosphere Datastage 8.5

Associate Systems Analyst

Confidential

Responsibilities:

Managed and supported critical systems for multiple RBDMS databases for DB2 and oracle.
Responsible for resolving any problems with processes running on Datastage, CDC, Mainframe, and Teradata.
Led expansive, multi - team effort to document infrastructure, design, process, and auditing.
Applied Waterfall requirements management practices and worked on projects that were critical to business growth.
Wrote complex SQL queries to clean up defects, duplicates, RI conflicts, mapping rule violations, etc for membership and provider data.
Forecasted data trends to proactively prioritize bug fixes
Developed and managed Tableau reports that presented stats for large datasets
Led and directed multi-week data refreshes in multiple environments that involved coordination between >10 teams simultaneously.

Environment: s / Tools: AIX, DB2, Mainframe, Linux/Unix, IBM CDC 10.2, IBM Infosphere Datastage 8.5, Putty, Toad 3.8, SQL assistant, Tableau

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Sr Enterprise Data Analyst Resume

Chicago, IL

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