$80K — $100K *
Role / Position Overview:
As a Models team data analyst, you will work as part of the Models team and engage in different aspects of maintaining and enhancing our modeling capabilities.
You will be responsible for end-to-end delivery of requirements driven by a prioritized client and operational backlog.
Your daily work would involve learning our proprietary modeling tools and language and assuming ownership for changing the models and validating these changes.
In addition, you would perform various types of queries and analytics in our big data environment to answer clients’ questions as well analytics requests made by the different teams.
Moreover, you would provide enhanced documentation and structured data evidence that would be used to support the quality of your development work.
Become a subject matter expert within our Communication Surveillance platform
Edit and validate the model’s performance to improve its accuracy and efficiency
Create queries and reports that would drive decision making and continuous improvements in models
Closely interact with engineering, data science, and BI teams
Analyze bugs and problems in the models and data using historical data
Conduct gap analyses between existing and strategic surveillance platforms data
Hands-on experience of a production implementation of surveillance models with massive data volumes
Support and launch world-class features that demonstrate the TotalConduct product excellence and solve customer problems
Work with a globally distributed TotalConduct team, which includes interactions with the Data Science, Engineering, Data Integration, and BI teams.
Strive for innovation and new ideas. Strive for Excellence in execution against program Roadmap and project priorities
3+ years experience in a Systems/Data Analyst role
3+ years working with database queries (Relational or Big Data)
2+ years experience with SQL or other relational database skills
2+ years experience with quantitative and qualitative research (2+ years)
Advantage for experience with Data processing, Big Data Environment, Global Surveillance platforms, Hive,, Impala or similar and/or distributed cluster computing e.g. Spark
Python or shell scripting experience would be an advantage
knowledge of Linux environments would be an advantage
knowledge of NLP would be an advantage
experience of Regex coding would be an advantage
Capable of articulating and documenting results & processes for large scale globally distributed projects to a client-facing standard
Exceptional attention to detail
Excellent communications, interpersonal, and organizational skills
Medium-High scripting abilities to allow for creation and manipulation of datasets and reports
Experience with a system that processes large volumes of complex data is a significant advantage
Experience working in an Agile delivery environment
Experience in a multi-lingual computing environment or foreign languages
Bachelor’s Degree in Computer Science, Mathematical subjects including Physics, Chemistry, Engineering, Management, Analytical Sciences or equivalent work experience
Valid through: 2/16/2021