Sr. Data Analytics Engineer (New Britain)

Employment Type

: Full-Time


: Miscellaneous

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Job Title: Sr. Data Analytics Engineer Location: Hartford, CT Duration: 6 Months Contract to Hire The Sr. Consultant, Data Analytics Engineer performs data acquisition, preparation, and performs analysis leveraging a variety of data programming techniques. Supports the implementation of highly complex project(s) that support the business. Helps establish procedures for attaining specific goals and objectives in a broad area of work. Tasks include the building and support of data pipelines to integrate data of various types and complexity (structured/unstructured, audio, imagery, etc.), cleansing and rational organization of data into data sets to support experimental AI work and model development. Primary Job Duties & Responsibilities: Independently review, prepare, design and integrate moderately complex (type, quality, volume) data, correcting problems and recommend data cleansing/quality solutions to issues. Apply moderate data derivations and assist with complex business transformation rules and data requirements. Assist investigation and resolution efforts for high impact data defects and problems, Perform analysis of moderately complex (type, quality, volume) sources to determine value and use. Recommend data to include in analytical projects. Create simple (technology and features) data visualization techniques to help support data exploration. Operationalize and automate moderately complex (more systems, data sets and streams, size of data sets more substantial) data products independently. Build, test, and implement moderately complex analytic business processes, including pilots and proof of concepts. Apply knowledge of current industry trends and techniques to formulate solutions within the context of assigned projects and/or enhancements. May present complex information to next level of management. Work within Travelers standards, processes, and protocols. Incorporate core data management competencies data governance, data security, data quality. Share knowledge and Independently train business users on data products/analytic environment when necessary Minimum Qualifications: 3 years of relevant experience with data tools, techniques, and manipulation required. Education: College Degree in STEM related field Technical Knowledge: Intermediate knowledge of data tools, techniques, and manipulation preferred. Examples (but not limited to): Big data and Cloud platforms Programming languages Python, Hive, AWS, Spark, SQL, Bash Scheduling Software: AutoSys Visualization platforms: QlikView

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