Senior Analyst, Data Science

Key Skills

Data Mining, Java Programming, Python Programming, R Programming, SQL

Job Description

Advanced Analytics is responsible for applying quantitative methodologies, techniques and tools to develop best in class analytic solutions that solve complex business problems.

Location: Nationwide, Remote role

Preferred Skillset (Qualifications):

• Experience with R, Python, or other visualization software preferred
• SQL, Excel experience preferred
• Bachelors Degree in related field, or equivalent work experience

Accountabilities

• Applies working knowledge in the application of concepts, principles, and technical capabilities to perform varied tasks
• Works on projects of various scope and complexity
• Identifies possible solutions to a variety of technical problems and takes actions to resolve
• Applies judgment within defined parameters
• Receives general guidance may receive more detailed instruction on new projects
• Work reviewed for sound reasoning and accuracy
• Works with stakeholders to identify business opportunities, goals, or objectives
• Determines if objectives can be met using an analytical approach and develops hypothesis.
• Identifies key data requirements and acquires data
• harmonizes, rescales, and cleans data for statistical techniques
• Applies data visualization techniques to evaluate data for model specification etc.
• Builds custom quantitative models by applying advanced statistical methods such as causal and predictive modeling, forecasting, data mining, simulation, and/or optimization.

What is expected of you and others at this level

• Demonstrates the ability to perform validation and testing of models to ensure adequacy and determines need for reformulation.
• Interprets results of quantitative models, identifies trends and issues, and develops alternatives to support business objectives.
• Demonstrates ability to clearly and concisely communicate complex information to a variety of audiences and mediums.
• Partners with stakeholders and technologist to implement/automate/operationalize models into day-to-day business decision making.