Company Analytics and Data Intelligence Lead

Job accountability area

• BI Reporting & deep analytics of business;
• Product Owner for Agile development team;
• Performance metrics and benchmarking, inform business leaders of progress towards business goals;
• statistical analysis, predictive analytics, predictive modelling, business process modelling, complex event processing, data mining.

Functional Responsibilities

• Manage Business Intelligence team on execution of reporting, ad-hoc analysis, and data projects;
• Identify areas of improvement to make existing reporting process more efficient;
• IT projects support: Data Warehouse (DWH), Support up-to-date information in marketing database (DWHDM);
• New data sources and their implementations for sales increase or cross-sell;
• Development of new Universes and metrics in existing DWH/DWHDM to cover new business streams through deep understanding of business needs;
• Ensure timely reporting, analysis of Business KPIs (revenue, activity, ARPU etc.);
• Ensure analysis of Business results for timely management information regarding gaps and risks. Ensure needed data quality of reporting for management and teams;
• Supporting in Ad-hocs and requests of management, preparation of non-standard reports and presentations;
• Establishing communication with departments that provide original information for receiving report data for analysis;
• Prepares and distributes monthly and quarterly operational reports to management to evaluate performance. Works with various corporate departments to obtain and monitor accuracy of data. Makes recommendations so that data may be presented in a more useful manner;
• Be a Product Owner for Agile development team;
• Ensuring that the backlog for an agile development team is always full and prioritized.

Minimum requirements?

• 4+ years of Business Analyst experience, Data Analysis and/or Developer experience;
• Knowledge or experience in BI and/or Big Data world;
• Excellent experience in SDLC Methodologies, Agile, SCRUM, SDLC / Waterfall;
• Data-driven and analytical mindset in decision-making;
• Can keep accuracy and attention to detail in fast and agile environment. Outstanding organizational skills and the ability to deliver quality work while managing multiple projects.
• Advanced MS Office user (MS Word, Excel, Access, Power Point) SQL, ORACLE, Python;
• Oracle Exadata, Hadoop;
• Strong knowledge of reporting and Business Intelligence concepts;
• Practical experience with JIRA, Confluence?.