Job Title

Sr. Data Analyst

  • Position:
  • Salary: $$70
  • Location:
  • Work Eligibility: USC, GC, GC-EAD, TN, H1, H4-EAD, OPT-EAD, CPT
  • Job ID: 07237
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Pandya

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Job Description

Job Description

Data Analyst, Senior

Scope:

Drive strategies and tactics to optimize Sysco products using quantitative data. Find answers to broad questions, identify patterns and trends, and make informed decisions to influence product strategy and direction. Identify opportunities to enhance organizational competency around data and analytics.

Essential functions

Utilize 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.
Design 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.
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.
Maintain a presence in the broader data and analytics community.
Other duties as assigned.

Minimum Qualifications:

6 years’ experience in using data and analytics to drive decisions and insights.
Experience with SQL.
Experience with MixPanel or Google Analytics.
Experience with digital marketing tools such as Google Search Console, Adwords, Marin, Google DoubleClick stack, Tealium, or similar.
Experience with JavaScript tag management.
Experience with Python Analytics/Viz packages.
Experience with R-Studio.
Experience with Data Mining tools such as RapidMiner, Opera, ProM, or similar.

Preferred Qualifications

Bachelor’s degree in mathematics, statistics, computer science or related field.
Experience with programmatic media.
Experience with structured and semi-structured data.

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