Kaushik Jetty
Data Engineering|Apache|NiFi|Kafka Connect|AWS Kinesis|SQL|Apache Flume|Azure Data Factory |Apache Spark(v3)|Delta Lake|Apache Hive|Apache Pig|Pyspark|Python(pandas)|H Base|Apache Atlas|Map Reduce|Deequ|AWS|Azure|GitLab|
- Role
- Business Intelligence Analyst at State Street
- Location
- Edison, NJ, US
- LinkedIn followers
- 500 followers
About Kaushik Jetty
Business Intelligence Analyst with 3+ years of experience transforming complex data into actionable insights to support strategic decision-making. Proficient in data visualization, analytics, and reporting using Power BI, Tableau, SQL, and Python. Skilled in requirement gathering, process optimization, and collaborating across teams to enhance business performance. Strong background in Agile methodologies, data validation, and ensuring regulatory compliance. Adept at designing dashboards, automating reports, and driving data-driven solutions that improve efficiency and customer engagement.
Experience
Business Intelligence Analyst
Jan 2024 — Present · US
Worked on the Client Performance and Investment Insights Optimization Project. Collaborated with portfolio management,client servicing, and data engineering teams to improve client reporting and investment decision support.Led requirement workshops and created FRDs, BRDs, process maps, and wireframe mockups using Lucidchart andPowerPoint to clearly communicate business needs and visualize reporting solutions.Designed and implemented AI-powered Power BI dashboards with advanced DAX to track client portfolio performance,investment allocation trends, and predictive analytics for client retention strategies. Enabled business users to conduct A/Btesting and monitor investment behavior insights effectively.Applied business analysis techniques including gap analysis, RCA, and strategic planning. Participated in sprint planning,backlog grooming, and conducted user acceptance testing to ensure deliverables met business and functional requirements.Performed data extraction, transformation, and analysis using SQL and Python (Pandas). Validated data in collaboration withData Engineering (DE) and Data Analyst (DA) teams to ensure consistency, accuracy, and integrity across multiple sourcessuch as AWS Redshift and enterprise data lakes.Created executive-ready PowerPoint decks and Excel summaries to present key findings and performance metrics andconducted A/B testing analysis to support data-driven decisions for client engagement strategies.Maintained thorough project documentation including FRDs, BRDs, UAT scripts, testing plans, data dictionaries, and processflows. Ensured compliance with financial regulatory standards such as NAIC, SOX, and HIPAA.
Education
University of New Haven
Master's degree
KL University
Computer Science
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