Business Intelligence Developer Resume Sample

● Acted as administrator of tableau online space – admin views, granting permissions, licenses &
groups
● Created multiple dashboards for functions such as Acquisition, Growth, HR, Data, Product
● Built multiple queries & views for end users
● SQL queries tuning and optimization
Technologies used:
● Tableau, Google Stack, Snowflake, MS Business Intelligence Suite – powerQuery, powerPivot,
JIRA

● Dashboards development in tableau – building risk monitoring application
● Tableau Server administration – permissions, licenses, server usage/ metadata
● Database views creation
● SQL queries tuning and optimization
● ETL solutions delivery using Alteryx
● Testing of the Tableau solutions
● Analysis of data sources
● Establishing requirements for the changes
● Communication with stakeholders
Technologies used:
● Tableau, Alteryx, MS SQL Server, Snowflake, MS Business Intelligence Suite – powerQuery,
powerPivot, JIRA

● Data modeling and data visualisation in Tableau
● Financial results analytics and reports delivery
● Credit Risk analytics and prediction models creation
● Implementation of risk engine – coding business rules – FICO Blaze Advisor
● Unit testing and regression testing
● Business process modelling, decisions modelling notation
● Fraud analysis and modelling
Technologies used:
● Tableau, Alteryx, MS PowerBI, R-package, DMN, BPMN, Python, MS Business Intelligence
Suite – powerQuery, powerPivot, Blaze, SRL, FICO, SVN, JIRA, Salesforce, Visual Studio

● Market risk management, model implementation – Value At Risk
● Backtesting and monitoring of models
● Models validation
● Statistics and econometrics model implementation
● Data management and quality assurance – noSQL, MS SQL
● Database maintenance
● Data analysis using R-Package – statistics interference
● Forecasting methods implementation – Excel + R
Technologies used:
● VBA, MS SQL, MS Access, R-package, MS BI Suite

● Mutual funds data visualisation
● Sales Reports creation
● Construction of a credit risk model in VBA
● Statistics and econometrics models implementation – GRETL, SAS
● Construction of models following the requirements of business users
● Building financial algorithms for investment managers using capital markets theory – Excel
+ VBA + SQL
● Providing solutions to business users’ modelling problems
● Correction and filling missing data in data warehouse
● Maintenance of local data warehouse – Access
Technologies used:
● LaTEX, MS SQL, MS Access, MS BI Suite – VBA