Senior Analyst, Data Informatics Job in Ttec

Senior Data Engineer, Data Informatics

The data engineer will be responsible for all aspects of execution and delivery for new and ongoing client implementations of the analytic platform. This will require working with clients and coordinating with internal business consulting, analyst, data science, and technology teams.

Primary Responsibilities

• Manage and manipulate multiple large data sets, including: defining populations and variables, performing calculations and summarizations, and creating solutions to address client business questions
• Prepare complex analytic deliverables, combining multiple programming outputs to create cohesive reports
• Acquire a strong understanding of research topics and a thorough knowledge of the data and programming efforts involved
• Synthesize business questions, translate from concept to code, in order to produce client deliverables
• Help design analytic data set specifications: synthesize business questions, translate from concept to code, in order to produce client deliverables, Lead in delivery of analytic projects
• Introduce new methodologies and efficiencies to increase productivity
• Contribute to the definition and development of key findings and marketing-oriented conclusions

Qualifications/Experience

• Bachelor's Degree in Engineering, STEM field or related with 2-3 years of relevant experience
• In depth familiarity of SAS, SQL (Oracle and SQL Server)
• Familiarity with Big data technology and its application.
• Understanding of complex data flows, identification of data processing bottlenecks and designing and implementing solutions.
• A broad set of technical skills and knowledge across hardware, software, systems and solutions development and across more than one technical domain.
• Proven ability to balance and manage multiple, competing priorities.
• Collaborative interpersonal skills and ability to work within cross-functional teams.
• Self-starter who relies on experience and judgment to plan and accomplish goals in complex fast-paced environment to ensure quality of all data integration points.
• Excellent customer service skills
• Creative problem-solving and analysis skills
• Ability to handle problem situations quickly, inventively, and resourcefully

Experience in following areas a plus

• Exposure to the Azure or AWS ecosystem
• Experience with Python, Data Bricks, PySpark
• Knowledge of statistical concepts
• Business, economics, or quantitative methods background