Data Analytics Engineer

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.

You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.

Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection.

We are the Good Hands. We don’t follow the trends. We set them.

Job Summary:

The Data Analytics Engineer is responsible for driving 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. This role will also begin to manage projects of small to medium complexity.

Key Responsibilities:

• Work with Data Scientists 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/findings with minimal supervision.
• 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.
• 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. Oracle, SQL, Python, Spark, Kafka and Scala), paired with a high degree of analytic agility to be able to meet fluid and dynamic business needs in this space.
• 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.
• Mentor other team members in a business technical environment and promote an environment that supports innovation and process improvement.

Supervisory Responsibilities:

This job does not have supervisory duties.

Education and Experience:

• 4 year Bachelors Degree (Preferred)
• 2 or more years of experience (Preferred)
• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

Certificates, Licenses, Registrations:

• No Certification, License or Registration is required for the job.

Functional Skills:

• Database development knowledge and experience (i.e. SQL)
• Programming skills (i.e. Python, R, Spark)
• Computer Proficiency in Oracle, UNIX/Linux
• Intermediate Analytic, Data Sourcing, and Data Management skills
• Ability to extract data from various data sources.
• Solid experience in time and task management with advanced problem solving
• Ability to learn new technologies
• Strong attention to detail
• Intermediate written and verbal communication skills, including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels

Notes:

The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.

Compensation offered for this role is $96,700.00-$132,100.00 per year and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.

Good Hands. Greater Together. ℠

As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life — including a generous paid time off policy. For a full description of Allstate’s benefits, visit https://www.allstate.jobs/benefits/

Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.

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Allstate generally does not sponsor individuals for employment-based visas for this position.

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