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Data Analyst (W2) Jobs

Company

Flashii

Address Cupertino, CA, United States
Employment type CONTRACTOR
Salary
Category Computers and Electronics Manufacturing
Expires 2023-06-01
Posted at 1 year ago
Job Description

Position Title: Data Analyst

Type of Role: Contract (9 months with possible extension/W2 Contract Only)

Onsite Requirements: Hybrid Schedule for Cupertino Office Location (Tuesday-Thursday only)

Project Description:

Flashii App Inc, is currently seeking a Data Analyst for a Top Fortune 500 Client. As a Data Analyst you will be a member of the data science team you will work closely with data scientists, engineers, product managers and designers in this role. As a data analyst on the team you will play a key role delivering insights to the team via dashboards, reports, and ad-hoc deep dives. You will have the opportunity to support groundbreaking technology and programs that aim to improve health outcomes through habit adoption. A few areas you will focus on include creating and maintaining dashboards, reporting, and ad-hoc analysis.


Roles & Responsibilities:

  • Delivering insights to the team via dashboards, reports, and ad-hoc deep dives.
  • Visualization and Spreadsheets.
  • Perform data mining tasks using programming languages (SQL and Python)
  • Generate reports and dashboards (in Tableau)


You'll Bring:

  • Excellent communication and collaboration skills
  • MUST HAVE Experience working Python, (Nice to have SPARK)
  • Cross-functional experience working with product, business, design, and engineering teams
  • Very strong product, data and analytics intuition
  • 3-5+ year of Data Analytics experience
  • Experience with MacOS and iOS environment
  • MUST HAVE Expertise in SQL and Tableau


About Flashii?


Flashii App Inc, is a full-service recruiting solutions company that takes care of everything from sourcing and vetting to on boarding and retention. We partner with our top 500 Fortune clients, working hand in hand as an extension of their team to build and manage the world’s best remote teams—until the job is done.