Senior Data Analytics Engineer

Senior Data Analytics Engineer

This job is no longer open

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

This role is responsible for the development and management 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 and transition to Allstate technology. This role will also begin to manage projects of medium complexity.

Key Responsibilities:

• Work closely with Data Science and business partners requiring subject matter expertise in the business as well as advanced analytics.

• Participate in requirement development, breaking down business problems into solvable components and assists in documenting requirements

• Participates in developing test plans and scripts, preparation of test data, reconciliation of data sources, and execution of functional tests.

• Help develop and deliver the data infrastructure required to support needs of predictive modeling and analytics with minimal supervision

• Execute rapid development of new data and analytic work tracks with fast iteration over quick sprints

• Leverage agile data analysis with technology fluency in parallel processing/programming, software/programming languages and technologies (i.e. Oracle, MongoDB, SQL, Python, Spark, Kafka, Scala and Hadoop) paired with a high degree of analytic agility to be able to meet fluid and dynamic business needs in this space.

• Provide input on the development of enterprise data assets, information platforms or data spaces designed for exploring and understanding the data. Participate in supporting the data engineering environment, and execute monitoring, quality and validation processes to ensure data accuracy.

• Execute data exploration, data engineering, testing and implementation.

• Participate in and help execute 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.

Functional Skills:

• Strong database development experience and knowledge (i.e. SQL, Oracle, DB2) with ability to learn new database technologies

• Intermediate programming skills (i.e. Python, R, Java) with ability to learn new technologies

• Computer Proficiency in Oracle, UNIX / Linux

• Ability to extract data from various data sources.

• Advanced analytic, data sourcing and data management skills

• Experience in designing and managing the nuisances of an array of data sources

• Strong attention to detail

• Ability to learn and teach new technologies

• Intermediate written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational level

Supervisory Responsibilities:

This job does not have supervisory duties.

Education and Experience:

• 4 year Bachelors Degree (Preferred)

• 3 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.

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.

Skills

Apache Kafka, Communication, Data Analytics, Data Engineering, Data Science, Digital Literacy, Inclusive Leadership, Learning Agility, Python (Programming Language), Results-Oriented

Compensation

Compensation offered for this role is $85,600.00 – 152,650.00 annually 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.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good.

You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.

Good Hands. Greater Together.®

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

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

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