Senior Data Analyst
As a Senior Data Analyst in the Data League organization, you will work closely with business units and engineering teams to cultivate a deep understanding of the ever-evolving systems, processes, and most importantly, data upon which our business runs. You will use this understanding to transform our data and big data into supporting data structures, metrics, reports, dashboards, and ad hoc analysis providing actionable insights to inform and improve decision-making at all levels of the business.
Some Challenges You’ll TackleDevelop a deep familiarity with myriad data sources including operational databases, big data platforms, messaging frameworks, internal tools, and external integrations
Identify and document the business logic required to clean, normalize, and model disparate source data into a conformed and dimensional representation of our business
Understand the complex lineage of our data end-to-end; from source systems, to the data warehouse and data marts, all the way down to analytic products and constituent business metrics
Take ownership of our data and constantly improve its quality and integrity; proactively identify data quality issues at every step and coordinate the implementation of required fixes and QA validations
Partner with business stakeholders to understand their unique analytic requirements and assist in the development of metrics, reports, dashboards, visualizations and the design of schemas and data flows to enable them
5+ years experience analyzing and manipulating complex, large-volume data from a wide-range of production systems and data platforms:
Very strong SQL skills!
Experience with a variety of data modeling techniques - emphasis on dimensional star schemas
Experience working with a variety of reporting and analytic platforms and tools (Tableau strongly preferred)
Strong quality assurance and business focus with keen attention to detail and good documentation habits
Excellent written and verbal communication skills - can clearly and concisely communicate data concepts and issues to business users and engineers alike
Got These? Even Better!:
Strong data visualization skills (e.g. Tableau, D3)
Data modeling experience for Cassandra or other NoSQL column-stores)
Conceptual, non-technical understanding/familiarity with big data pipelines and flows
Experience with python or scala for sourcing, manipulating, and analyzing data
Experience working with big data e.g. Hadoop/Hive/Spark
And Of Course, Perks!:
Unlimited paid vacation days. Choose how your time is spent.
Never go hungry! We provide weekly GrubHub/Seamless credit.
Regular in-office social events, including happy hours, wine tastings, karaoke, bingo with prizes and more.
Company-Wide Initiatives encouraging innovation, continuous learning and cross-department connections.
We deliver favorites every day. Join us as we move eating forward.
Grubhub is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. The EEO is the Law poster is available here: DOL Poster. Grubhub is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.