Bi And Data Warehouse Specialist

Domino's Pizza

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Management Information Systems, Industrial Engineering, Analytics, Data Science, Econometric or related field preferred

• Minimum four 4 years experience in data mining and data warehouse design

• Prefably 2-4 years of experience with hands-on ETL processes and problem-solving ability

• Experience in NoSQL databases (hbase, cassandra or elasticsearch)

• Experience in AWS (EMR, Lambda, Kinesis etc)

• Experience in BI (PowerBI, Cognos, Qliksense etc)

• Experience in ETL packages and processes (SISS and SASS etc)

• Strong SQL skills, including query optimization are required

• Experience working with large, complex data-sets is required

• Experience in Hadoop/Spark processing pipelines to prepare data for user interactive analytics

• Excellent knowledge of relational database structure, programming concepts, external data sources, and experience working with complex data systems

• Experience on developing predictive models with frameworks or with custom algorithms

• Self-motivated, independent, organized and proactive, highly responsive, flexible, and adaptable when working across multiple teams

• Must be independent and creative in analyzing business results, developing appropriate solutions or alternatives to problems and effectively communicating related issues

Job Description       

•Will provide insights for data analysis and predictive modeling using state of the art methodology and algorithms, data visualization, dashboard and decision support tool development

•Analyze business problems and work within a group environment to build and communicate efficient and effective modelling and data mining solutions

• Will be responsible developing predictive analytics/modeling efforts and use of associated analytics/modeling programs

• Should Identify and develops new areas to apply predictive modeling and other advanced analytics

• Will develop specific tools, processes and reportings or data visualizations to deliver a high level of service of the solution implemented and measure their impacts on business

• Create reports and dashboards and implement business performance visualizations and dashboards which will report on daily, weekly, monthly activities across the business, identify KPIs, monitor and measure progress.

• Should Collaborates with IT and business units to oversee implementation of work efforts and provides input to help design, monitor and improve data structures and data warehouses

• Will work on projects and exchange experiences, and continuously build methodological knowledge and skills

• Translate business objectives into data and analytics solutions using appropriate data engineering, analytics, and visualization applications.