Job Description
This role is responsible for the use and development of data infrastructure projects; proof of concept business solutions for users in analytics and Data Science. This person works directly with data scientists and analytic engineers on needs and tactical solutions. This role will execute new data engineering work tracks for Data Science and analytics from inception and prototyping to fully developed solutions.
Key Responsibilities
• Builds test scripts, executes testing, works with data scientists and business to ensure end user acceptance
• Leverage "agile" data analysis with technology fluency in parallel processing/programming, software/programming languages and technologies (i.e. SQL, Python, Spark), paired with a high degree of analytic agility to be able to meet fluid and dynamic business needs in this space.
• Execute rapid development of new data and analytic work tracks with fast iteration over quick sprints
• Help develop and deliver the data infrastructure required to support needs of predictive modeling and analytics with minimal supervision.
• Mentor other team members in a business technical environment and promote an environment that supports innovation and process improvement.
• Participate in the development of enterprise data assets, information platforms or data spaces designed for exploring and understanding the data.
• Participate in the development of new concepts, proof of concept designs, and prototypes for business or research data solutions so that business users or predictive modelers may visually understand and explore a new feature or functionality before implementation to expose design assumptions and drive ideation.
• Work with Data Engineers and business partners on cross functional teams; developing subject matter expertise in the business as well as advanced analytics.
• Provide support on requirement development for analytic data sources, breaking down business problems into solvable components and assist with documenting requirements with minimal supervision.
Supervisory Responsibilities
• This job does not have supervisory duties.
Skills
Analytics, Business Intelligence (BI), Business Problems, Communication, Computer Programming, Data Analysis, Data Analytics, Data Engineering, Product Roadmapping, Python (Programming Language)
Compensation
Compensation offered for this role is 75,100.00 - 126,325.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.
Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.
