Specialist, Data Analytics

Job Description The Specialist, Data Analytics is responsible for the delivery of leading-edge analytical solutions. This key role will work closely with the Marketing team to understand the data needs of different customer segments and craft solutions to support information-based decisions. Leveraging knowledge in Business Intelligence (BI), analytics, and statistical modeling, the Specialist, Data Analytics will create prototypes of new reporting, produce in-depth analysis for key business issues, build predictive models to improve processes based on business requirements and ultimately help to demonstrate the impact of Marketing investments against Business priorities. Job Responsibilities Below are the main job requirements and responsibilities for the Specialist, Data Analytics. • Leverages data query tools as required to pull data from multiple sources and amalgamate into new data sets for analytical and modeling purposes based on the business requirements. • Analyzes and creates customer use cases and is able to translate them to analytical data applications and models with a vision to implementing a solution. • Develops reports for clients including summaries of use cases, results, gaps, recommendations and documentation of how to best use the provided solutions. • Evaluates key performance metrics and evaluate trends. • Develops analytical models for data generated by a variety of applications and products. Builds analytics applications and visualizations. Job Responsibilities (continued) • Performs data mining tasks, such as classification, regression, clustering, recommendations and text analysis. • Conducts high level reviews to identify client needs, problems and opportunities alongside with other business functions to determine if a possible solution can be developed. Continuously identify opportunities and solutions to better meet business needs. • Effectively communicates the business and technical benefits of the analytic solution to both business and technical audiences. • Develops and implements various types of predictive models, segmentation strategies, contact management strategies, multi-channel offer strategy, data mining analyses, and performs research and development regarding new innovative analytic techniques to drive top line and bottom-line growth. • Create and maintain the BI documentation for all processes, including related data dictionaries, design, logic, flowchart, and user manual. Qualifications Education • University degree in a quantitative discipline (/Statistics/Data Science, Economics, Engineering) Experience • 3 years’ experience in advance analytics. • Significant experience working with methodologies such as predictive modeling, profiling, segmentation forecasting, marketing attribution and data mining. • Demonstrated analytical experience in a marketing, operations or digital environment. • Experience developing ETL processes, data marts and business intelligence solutions • Experience in large-scale data management, warehousing, and relational databases. Other Candidate Requirements • Expert knowledge of SAS and other data query tools (SQL). • Knowledge of IT processes and infrastructure required to support business intelligence and analytics. • Min of 2 years experience with Power BI reporting with experience in the creation of paginated reports Other Information Safety Sensitive PositionsThis position may be considered a Safety Sensitive position.