Syed Sa
BI Data Analyst and Tableau Developer at Citigroup
- Role
- Bi Specialist and Data Analytics Consultant at Citi
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Syed Sa
Over 10 years of experience in software development and management experience. Experience…
Experience
Bi Specialist and Data Analytics Consultant
Dec 2012 — Present · Jersey City, NJ, US
BI Data Analyst - Tableau Developer and MicroStrategy DeveloperExpertise in SQL, Tableau, Microstrategy, and business objects reportingPerform analytics using Python, Pandas, matplotlib, seaborn, SAS, and SPSS, as part of Data Science doing EDA techniques and modeling data to derive meaningful outcomes.Operational Risk Overview (ORO) Deck – This is an automation of several major applications data into a management deck from applications such as scenario Analysis, Risk Capital, Revenue, loss capture, Icaps and Key indicators to be correlated and perform different levels of aggregation and applied analytics on data to depict information in form of dashboard and canned reports for senior management review.ResponsibilitiesLoss Capture Reporting – Operational Risk system is built to align the best of class finance standards based on GOC, reporting covers the entire Citi organization at an aggregate and at business unit.Fraud Risk Management – Reports on different indicators data on various level and show trending of each indicator’s month over month.• Architect, design and create Schema objects and developed tableau and MicroStrategy & Tableau logical data model by identifying and creating attributes, hierarchies, facts, metrics, filters, prompts, drill maps, custom groups, consolidations, auto styles, search objects, transformations and templates using tableau, MicroStrategy Desktop and Web.• Architect, Design, and Development of reporting requirements with designing of dashboards. • Analyzing data in both application and reporting databases and solving the discrepancies Data cleaning, data visualization, detection of missing data and Skewness, correlation analysis using heat maps, principal component analysis and model development were performed on the data.• Created Heat Map showing current service subscribers by color that were broken into regions allowing business user to understand where we have most users vs. least users.
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.