Analytics Engineer
Workday
Your work days are brighter here.
At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
About the Team
Workday has built an Enterprise Data & Analytics Team to transform and optimize the way Workday builds and shares trusted data to drive insights and data led innovation across the enterprise. One of the key organizational principles of the group is the treatment of data and analytical assets as products with an agile methodology to support their continued development. Each data product will have a dedicated cross-functional Fusion Team to drive data onboarding, security, discovery, transformation, and analytics to create value in line with the business priorities. Join our team as we strive to deliver exciting new user-centered, predictive, and prescriptive reporting analytics at Workday!About the Role
About the Role
The Analytics Engineer plays a vital role on the Enterprise Data & Analytics team by providing the engineering horsepower to bring data products to life. The Analytics Engineer will be responsible for the modeling, transformation, and serving of datasets and analysis to support requirements that are established by the Fusion Team. You will work with cross-functional partners and domain experts to build scalable and highly-adopted data products to the broader Analytics community and leadership at Workday.
Responsibilities
Build datasets using software engineering standard methodologies, data management fundamentals, data storage principles, recent advances in distributed systems, and operational and engineering excellence best practices.
Build shared data assets generating transparency into critical business metrics
Build and maintain automated data pipelines that transform data into clean and highly optimized assets to address continuously evolving analytical requirements.
Create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis using SQL and Python
Partner with business systems analysts, data quality engineers, and product managers to develop Workday data products.
Analyze systems, review data models, develop transformations, and document the specifications.
Identify and analyze multi-structured data from a variety of sources to assess its effectiveness and accuracy to meet analytics requirements.
Demonstrate passion for quality and productivity by using efficient development techniques, standards and guidelines.
Effectively communicate through user documentation, commented code, and interactions with stakeholders and adjacent teams.
About You
Basic Qualifications
BS/BA in Technical Field, Computer Science or Mathematics.
proven experience in the data warehouse space.
proven experience in custom ETL design, implementation and maintenance.
3+ years experience in writing SQL statements.
2+ years experience working with big data technologies (Hadoop, Hive, Spark, etc.)
2+ years experience with schema design and dimensional data modeling.
Proficient in one of Programming languages (e.g., Python, Go, C++)
Communication skills, including the ability to identify and communicate data driven insights and communicating data warehouse plans to internal workmates.
Other Qualifications
5+ years experience in business analytics, data science, software development, data modeling and/or data engineering work in large enterprise company
Hands-on experience with cloud-based data warehousing solutions (e.g., Snowflake, Redshift, Databricks)
Workday Pay Transparency Statement - United States
The annualized base salary ranges for the primary location and any additional locations in the United States (US) are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.
Our Approach to Flexible Work
With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
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