The role helps shape strategy and leads the implementation strategy of delivering quantitative and qualitative data analysis and reporting for a specific Consumer Impact Area within CR’s data intelligence program.
Bachelor’s or Master’s Degree in Data Science, Business Administration, or other related field and a minimum of 5 years experience of relevant experience.
Must be highly experienced with data cleanups, data blending, data transformation, etc. as well as managing large amounts of data, extracting, transforming and loading data, and exploring, mining and graphing data.
Demonstrated success turning significant amounts of data into meaningful insights and reports through various statistical and analytical techniques
Exceptional business to business writing skills and the ability to turn data into narrative content that is appealing to a wide variety of audiences
Ability to manage complex projects and meet deadlines with minimal oversight and excellent interpersonal and communication skills are required. Discretion and sound judgement required.
Ability to drive cross-functional collaboration, as well as interface with external stakeholders.
Experience with unstructured data formats and integration of big data sources a plus.
Must be able to partner with designers to conceptualize data visualizations that maximize the comprehension and impact of CR’s unique data.
Experience with Tableau required; experience with R or Python is highly beneficial.
Experience with statistical software packages, e.g., SAS or SPSS (PASW) and PASW Modeler
Superior written and verbal communication skills.
Focuses self and others on action and results delivering both strategic vision and tactical execution.
Inspires others to embrace and lead innovation including leveraging key influencers to champion change.
Builds cross-functional support for initiatives by evangelizing vision and priorities with appropriate stakeholders.
Leverages knowledge of the competitive landscape, marketplace trends, best practices and technology to improve CR’s ability to compete.
Keeps current on external trends and developments.
Sets up staff and teams for success and communicates clear, measurable goals.
Invests time to ensure stakeholder understanding and buy-in.
Partners with Director to assess areas of potential opportunities, gauge marketplace demand and determine availability and ease of data collection.
Leverages CR’s data to meet the needs of manufacturers, influencers, and regulatory bodies that subscribe to the data intelligence program.
Acts as client facing representative with external business clients, answering questions on data products and collecting feedback to guide future product development.
Leads cross-functional collaboration to deliver in-depth analysis by leveraging CR’s unique product testing data from assigned Consumer Impact Areas, and coupling it with external/Big Data sources.
Identifies trends and gleans meaningful insights that drive marketplace change, particularly as they relate to safety, consumer protection, and product improvement.
Works closely in collaboration with CR’s Statistics & Data Science leader as well as other key subject matter experts to ensure best practices and consistent analysis.
Responsible for assessing and meeting needs of Data Intelligence program clients, ensuring client satisfaction and revenue goals.
Drives methodology and governance to maintain data integrity and evolve reporting.
Supports Director, Data and Feature Design to turn analysis into digestible, visually appealing visual content.
Establishes scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
Applies advanced algorithms to complex problems in real time systems and deliver concise, insightful analysis.
Conceptualizes and implements new and cutting-edge data driven analytical capabilities.
Effectively uses tools to manipulate large-scale databases, synthesizing data insights
Provides data extract and optimization to support end-to-end analysis projects including process design, data requirements development and delivery
Creates repeatable processes to support development of modeling and reporting
Works closely with program leadership, technology, and product management to turn data analysis into actionable algorithms and applications.
Partners with enterprise data engineering and architecture teams to share best practices and identify opportunities to ingest new data sources.
Oversees budget expenditures for purchases of external data sources and software licenses associated with Data Intelligence program.
Reviews the preparation of research by colleagues and/or mentor them on best practices.
May be responsible for hiring, managing, and developing staff.