Senior Data Science/ Analytics Engineer

Job Responsibilities:

• Understand data needs by interfacing with fellow data scientists, data engineers, and business partners, Architect, build, and launch efficient & reliable new data models and pipelines in partnership with Data Engineering.
• Design, define and implement metrics and dimensions to enable analysis and predictive modeling.
• Become a data expert in your business domain and own data quality.
• Build tools for auditing, error logging, and validating data tables.
• Build and improve data tooling in partnership with internal Data Platform teams.
• Define logging needs in partnership with Data Engineering.
• Design and develop dashboards to enable self-serve data consumption, develop records management processes and policies, identify areas to increase efficiency and automation of processes.
• Set up and maintain automated data processes, identify, evaluate and implement external services and tools to support data validation and cleansing.
• Produce and track key performance indicators
• Develop and support reporting processes
• Monitor and audit data quality, design and carry out surveys and analyze survey data.
• Create data dashboards, graphs, and visualizations, mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool.
• Work experience as a data analyst or in a related field
• Interpreting data, analyzing results using statistical techniques
• Developing and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems

 Requirements

• Experience with Hadoop or other MapReduce-based architectures.
• Good understanding of one or more of the following: Scala, C++, or Java
• Strong skills in SQL and distributed system optimization (e.g. Spark, Presto, Hadoop, Hive)
• Expert in at least one programming language for data analysis (e.g. Python, R)
• Advanced analytical knowledge of data
• Conducting big data analysis
• Developing software and data models
• Developing algorithms
• Working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining, and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javas script, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Strong SQL or Excel skills with the ability to learn other analytic tools
• Prior experience with database and model design and segmentation techniques
• Business process modeling — enterprise to department level
• Process-oriented with great documentation skills

Behavioral Competencies:

• Task-oriented and goal-driven - focused on outcomes.
• Great team player
• Creative with a problem-solving mindset.
• Open to receiving objective criticism and improving upon it.