About the job

As a Manager, Data Engineering (Analytic), you use modern data engineering techniques and analytics to help clients turn information into insight. You collect, aggregate, store and reconcile data from multiple sources, helping to design and build data pipelines, streams, reporting tools, data generators and a whole range of tools to provide information and insight. You develop the predictive analytics that helps clients succeed.

Day to day, you will:

Share your knowledge and give solution support on proposals, supporting sales teams.Manage the requirements gathering, analysis and design phases of projects Analyze large and complex data, using quantitative and qualitative methods Deliver data to users using common desktop programs Share your knowledge of best practices in analytics platforms, business intelligence, data management and Big Data Produce reports that show key performance indicators (KPIs), improvement opportunities, and problem root causes Identify new analytics tools and techniques Create and maintain report forms and formats, information dashboards, data generators, canned reports and other information portals and resources.

About you

You understand how to turn piles of data into actionable insights that our clients can use to their competitive advantage. You can explain complex analytical concepts in non-technical language that business people can understand.

Your skills and experience include:

Demonstrate significant experience working with database, storage, collection and aggregation models, techniques and technologies, with the ability to apply such methods to solve business problems. Experience working with statistical and data visualization tools and techniquesExperience in structured problem-solving assignments and strong project management and people management skills Advanced, SharePoint, PowerPivot, SRSS, Excel skills (with embedded Pivot Tables & Macros) Advanced SQL Skills - Microsoft Azure based data solution, including Azure SQL Data Warehouse, HDInsight, Stream Analytics, Data Lake Store, Data Catalog and others. Big Data solution on Azure a big plus.You probably have a bachelor’s degree in data science, Economics, Statistics or a related field. You may also have Master’s degree. You’ve gained at least 8 years of experience of quantitative analysis in a business setting, including building statistical models. You’ve had a management role for around three years and the same time or more in consulting.