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.