Job Description
As an Associate Director Data Analyst, you'll take the lead in data analytics, shaping insights with autonomy and creativity. You'll have the freedom to drive projects, with senior guidance available for unique challenges. Your role includes mentoring junior team members, ensuring they excel in fundamental data analysis tasks and projects. Join us to elevate our data-driven decisions while fostering the next generation of analysts! AccountabilitiesWork with consumers/business users on the definition of the data requirements for intended data solutions.Translate unstructured, complex business problems into a data design and solution.Profile data to understand provenance, quality, metadata models, ownership, and compliance with internal and external regulatory standards.Perform ad hoc wrangling of data (sourcing, extraction, profiling, integration) to support Data Science model generation and business insight.Support data engineers in the development of Source to Target pipelines (e.g., ETL design).Design and test the quality and performance of derivative data models in reporting and analytics solutions.Process requests for compliant access to data.Define and manage information lifecycle management in data solutions.Provide data understanding (structure, provenance, quality) to Architects, Data Engineers, and Data Scientists to support use in Analytics projects.Support IT and business data teams in identifying and managing Critical Data Assets and Elements including Reference, Master, and Metadata.Collaborate with Risk, Assurance, Privacy, Information Security, and Regulatory authorities to ensure data and information controls are in place and adhered to.
Responsibilities + Skills
Proven experience in a data analyst or business role aligned to data and information management role with practical examples of performing data analysis in terms of defining requirements, gleaning critical data elements, defining data quality criteria and checkpointsDomain data understanding: the structure, provenance and meaning of the source data crucial to the domain (eg. SAP, Werum Pas|X, Snowflake). Understanding of the business processes in the generation and consumption of dataA blend of data requirement analysis, data quality analysis, data stewardship skillsExperience in translating requirements into fit-for-purpose data models, data processing designs, and data profile reportsProficient in the use of data modelling technologiesProven experience working in multi-skilled, multi-location data teams, working to agile principlesExperience of Data Analysis enabling tool kits (e.g. python, R, DataIku)
Education
Undergraduate degree in a Computer Science, Data Science or possibly discipline area (R&D, Finance, HR etc) and cross trained or equivalent number of years of experience
Experience