Data Analyst

Sysco

29d

About The Position

Sysco is the global leader in foodservice distribution. With over 71,000 colleagues and a fleet of over 13,000 vehicles, Sysco operates approximately 333 distribution facilities worldwide and serves more than 700,000 customer locations. We offer our colleagues the opportunity to grow personally and professionally, to contribute to the success of a dynamic organization, and to serve others in a manner that exceeds their expectations. We’re looking for talented, hard-working individuals to join our team. Come grow with us and let us show you why Sysco is at the heart of food and service.

Requirements

3 years experience in using data and analytics to drive decisions and insights.
Experience with SQL.
Experience with MixPanel or Google Analytics.
Experience with custom event tracking and querying Redshift or other column store data stress such as Netezza, Greenplum, Teredata, Verticetc, or similar.
Experience with digital marketing tools such as Google Search Console, Adwords, Marin, Google DoubleClick stack, Tealium, or similar.
Experience with eCommerce experimental testing and testing platforms such as Optimizely, Google Optimize, or similar.

Nice To Haves

Bachelor’s degree in mathematics, statistics, computer science or related field.
Experience with JavaScript tag management.
Experience with programmatic media.
Experience with structured and semi-structured data.
Experience with Python Analytics/Viz packages.
Experience with R-Studio.
Experience with Data Mining tools such as RapidMiner, Opera, ProM, or similar.

Responsibilities

Collaborate with Product and Analytics teams to use a combination of exploratory and descriptive analytics to inform product strategy and roadmap, and provide ad-hoc analyses that uncover root cause of recent business trends.
Understand data infrastructure and coordinate with Data Engineering to deliver data models and structures to meet business demands.
Assist in the design of relevant data models, including outlining dimensions and measures needed, for answering business questions.
Establish and implement product data standards and best practices in order to optimize the data collection, fidelity and accuracy. Develop product measurement plans and dashboards to monitor metrics and KPIs.
Support Engineering in deploying and documenting consumer event tagging in all applications.
Ensure optimization and validations initiatives are implemented, tracked and reviewed postproduction.
Shape, explore and publish data for business analysis or stakeholder initiatives using core Business Intelligence (BI) tools.
Other duties as assigned.