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ADP is hiring a Principal Data Analytics Engineer to develop and build technical data pipelines and products from a diverse set of data sources for delivering innovative solutions within ADP's Big Data, Reporting and Analytics offering. In this position, the candidate will drive value creation from ADP's big data assets based on the 26+ million workers we pay in the US and 13+ million more worldwide.
In this role, you'll work cross-functionally with Data, Application, Engineering, and Product teams to develop early prototype-stage data products. You'll work analytically to distill a mix of ideas where our data can deliver value. Using Python, Pandas, SQL/PLSQL and other tools, you'll write data pipelines and develop beta products to test those hypotheses.
Demonstrate strong leadership skills by solving difficult problems, leading by example, and helping to mentor and develop other members on the team
Rapidly iterate on data products early in development with Data Science and Analytics team members
Work through complex data pipelines using SQL, PLSQL, Python and other data processing tools to deliver data products to end users
Develop knowledge of HCM industry trends and data
Work with our Data Science & Analytics team to build scalable frameworks and development workflows
Build the technical solutions to develop an analytics platform to deliver insights from a diverse set of data sources including HR, Payroll, Talent, Benefits, Time, Engagement, Tax and external data sets
You'd be a good fit if:
A strong coder and fluent with processing and querying large amounts of data.
You have a Bachelor's degree in computer science or CIS, or equivalent experience (advanced degree is a plus)
You are an effective communicator who can break down a complex data analysis and tell a compelling story to stakeholders ranging from management to engineers to sales
You are versatile and can easily pick up new programming languages
You have the technical skill to query databases, and have strong intuition for how to model and clean data
You have worked in a collaborative development environment using Git, Jupytor Notebooks, Python, R and RStudio-Server, SQL
You have experience working with 3rd party software and libraries, including open source
You have experience deploying and running software using cloud-native technologies in AWS and/or GCP.
Nice to have's:
Familiarity with cloud-native DevOps automation
3+ years of experience mentoring junior to mid-level data analysts in a rapidly-growing start-up or organization.
Industry experience in relevant roles such as data scientist, technical product manager, forward deployed engineer, or similar
Bachelor's degree in engineering, computer science or related field; Master's degree or MBA a plus
8-10+ years relevant consulting and/or industry and functional experience
5 years of experience in two or more of the areas of focus: data quality management, reference data management, master data management, ODS/graph management, enrichment and analytics, metadata management, integrations and service standards, data lakes and governance (architectural or technical)
Excellent analytical ability to understand business issues associated with data management and governance, business processes in terms of data, and related standards, risks and controls, identifying root causes and recommending solutions
Strong understanding of the HCM Domain
Exposure to Big Data platforms using Apache Hadoop, Cloudera, Hortonworks distributions a plus
In-depth knowledge of popular database and data warehouse technologies from Microsoft, Oracle, Amazon and/or Google
Demonstrated knowledge of data warehouse concepts
We're designing a better way to work, so you can achieve what you're working for. Consistently named one of the 'Most Admired Companies' by FORTUNE Magazine, and recognized by DiversityInc as one of the 'Top 50 Companies for Diversity,' ADP works with more than 740,000 organizations across the globe to help their people work smarter, embrace new challenges, and unleash their talent. "Always Designing for People" means we're creating platforms that will transform how great work gets done, so together we can unlock a world of opportunity.
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