Position: Senior Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 5


Rovenma A.S (2016-2017) - Junior Business Analytic
- I worked 1 year at Rovenma as Junior Business analytic.  I have participated to Project which company has agreement government. Project was relevant e-commerce . My duty was to obtain  data from DWH by SQL then analysis this data to using  Excel and Power BI. Also create connect between DWH and BI tools to automation all dashboards.
Yelo Bank 2018-2020 - Data Engineer
-- I had  worked 2 year at Yelo Bank  as DWH/BI developer. As long as I worked in the Bank I got knowledge about Bank Products and Payments.I was making ad hoc reports by SQL .While I was working at Yelo Bank I was participated Cash Back project that I was collecting data as appropriate for structure of DWH and bring those data by ETL to Database. At the same time I was preparing regularly reports at Oracle Bi Publisher for stakeholders that they might track cashback business process by reports. In this time I was using PL-SQL and OBIEE as well as
Oracle BI Publisher for reports

Kapital Bank 2020-2021 - Data Analytic Expert
-Kapital Bank situated in Baku which is one of the biggest Bank of Azerbaijan. I attend to Bank at Corporation-SME department as Data Analytic.
 I was member of  Data Management squad and i have participated  project it was called 360 - Customer View project.
My duty was to create relational datamarts also create Dashboards all data on Tablaeu .It was helped stakeholder to get right decision by dashboards. Thats Why firstly Iwas meeting with stakeholders to define business requirements.  I was gathering data from various channel and create datamarts on DWH then make connect between dwh and Tableu.
   Kapital Bank 2021-present  - Chapter Lead Data Analytic
I am responsible to obtain quarterly and yearly KPI data and analyzing them. Also  I am responsible for managing data systems and ensuring information accuracy to support business operations and requirements. I am ensuring daily to data quality and integrity.