Senior People Analytics Data Engineer
USA - IL (Remote), United States
Full Time Senior-level / Expert USD 69K+
Allstate
Get an online insurance quote for quality coverage in the blink of an eye. Allstate offers insurance for your car, home, rental, motorcycle and more.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
The Sr PA Data Engineer is responsible for supporting the design and development of data infrastructure and engineering projects for human capital data for People Analytics and the enterprise. This role will contribute to the development, to construct and maintain large, complex data through design, collection, integration, processing, and transformation of large datasets from HR, Finance, and other data sources. This person will support leaders, data scientists and analysts on their data needs to drive strategic reporting, advanced analytics, and workforce planning activities.Key Responsibilities
- Hands-on experience with ETL tools such as PySpark, SSIS or similar.
- Experience in data warehousing, including data modeling, loading, transformation, scripting, and process auditing.
- Experience working within an engineering lifecycle with heavy accountability in delivery.
- Experience in building relationships and collaborating with a broad-spectrum of individuals/teams including HR, Technology, and the business at various levels of management.
- Experience creating and maintain technical documentation such as ERD, information models, flow diagrams, data dictionaries, etc.
Education
- 4 year Bachelor’s Degree (Preferred)
Experience
- 3 years SQL experience working with relational databases and query authoring (SQL) field (Required)
- 3 years’ experience cleaning, mining, manipulating, and analyzing data using tools such as Python (Required)
Supervisory Responsibilities
- This job does not have supervisory duties.
Functional Skills:
- Experience with cloud platforms such as Azure/Fabric, AWS, GCP, etc., for data storage, services, and processing.
- Familiarity with data modeling tools such as Erwin or equivalent.
- Working knowledge of HR systems (e.g., Workday, VMS, etc).
- Experience working with workforce data or working in a people analytics team.
- Hands-on experience developing and maintaining reports/dashboards in PowerBI and Tableau.
Education & Experience (in lieu)
- In lieu of the above education requirements, an equivalent combination of education and experience may be considered.
#LI-MC1
Skills
Data Analytics, Data Modeling, Data Query, Data Warehousing (DW), Microsoft Azure, Microsoft Excel, Microsoft Power Business Intelligence (BI), People Analytics, Python (Programming Language), Structured Query Language (SQL), WorkdayCompensation
Compensation offered for this role is $69,200.00 - 123,800.00 annually and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation.
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.
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Tags: AWS Azure Business Intelligence Data Analytics Data Warehousing Engineering ETL Excel Finance GCP Power BI PySpark Python RDBMS SQL SSIS Tableau
Perks/benefits: Flex hours Health care Medical leave Team events
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