Data Analyst - NY

New York, NY 10017

Posted: 06/08/2021 Employment Type: Contract Industry: Data Analyst Job Number: 29506

Job Description


Data Analyst

About the team: Data Insights is a part of the Enterprise and Infrastructure Security and our clients are other internal teams within the department. We are tasked with internal analytics - from supporting operational efficiency, product analytics, project management, customer research and working with unique datasets often generated by Data Centers machines.  Data Insights team is looking for a hybrid of data analyst and data engineer, capable of leading end-to-end projects. The responsibilities will include initial interviews of internal clients (other engineering teams), through designing metrics, building data pipelines, assuring data validation and quality checks, all the way to the visualization tools like Tableau or internal Unidash and presentations.

Responsibilities:
  • Design KPIs for operations, product development, and service management
  • Write and optimize queries to deliver compelling and actionable metrics & insights
  • Build dashboards and embedded visualizations for customer consumption
  • Build and maintain ETL pipelines 
  • Independently project manage and prioritize work based on requirements collaboratively defined with clients
  • Develop and manage end-to-end project plans and ensure on-time delivery
  • Inform product and business decisions to align with org goals & initiatives
  • Develop and communicate recommendations based on quantitative research via storytelling, reporting, and insights presentations
  • Cultivate relationships and collaborate with cross-functional partners to shape, support, and execute product or service goals

 

Skills: Minimum Qualifications
  • BS/BTech in Computer Science, Math, Statistics, or other quantitative field
  • 4+ years' experience in quantitative analysis
  • 4+ years' experience in custom ETL/data pipeline design, implementation and maintenance 
  • 4+ years' experience in SQL/relational databases (Oracle, Vertica, etc.) 
  • Expertise around Data and Metric best practices and methodologies
  • Experience with scripting languages, Python, R, PHP, etc
  • Knowledge of statistics (e.g., hypothesis testing, regressions)
  • Experience with data architecture, data modeling, and schema design
  • Experience with large data sets and distributed computing (Hive/Hadoop)
  • Experience initiating and driving projects, and communicating results of analyses to both technical and non-technical stakeholders to influence decision making
  • Familiarity with version control systems (git, mercurial, etc.)
  • Familiarity with software development

 

Meet Your Recruiter

Julie Selders

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