Job
Description
Perform advanced analytics like cohort analysis, scenario analysis, time series analysis, and predictive analysis, creating powerful visualizations to communicate the results. Articulate assumptions, analyses and interpretations of data in a variety of modes. Engage with stakeholders to understand business requirements and develop detailed project plans with timelines. Design data models that define how the tables, columns, and data elements from different sources are connected and stored, based on our reporting and analytics requirements. Work closely with BI engineers to develop efficient, highly performant, scalable reporting and analytics solutions. Query data from warehouses like Snowflake using SQL. Validate and QA data to ensure consistent data accuracy and quality. Expert level skills writing complex SQL queries to create views in warehouses like Snowflake, Redshift, SQL Server, Oracle, Big Query. Advanced skills in designing and creating data models and dashboards in BI tools like Tableau, Domo, Looker, etc. Intermediate level skills in analytical tools like Excel, Google Sheets, or Power BI (complex formulas, lookups, pivots, etc.) Experience in Python programming / Developer Bachelor's/Advanced degree in Data Analytics, Data Science, Information Systems, Computer Science, Applied Math, Statistics, or similar field of study. Willingness to work with internal team members and stakeholders in other time zones. Needs to have good understanding about infra (VM Ware, RHV), Database (Oracle/Postgres etc.) Experience in OSS product portfolio such as HPE vTEMIP, UCA, UTM, IBM Tivoli, Netcool etc.
