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Sr. Data Analyst

  • Location

    United States

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Contact:

    Zackary King

  • Contact email:

    zack@intelletec.com

  • Consultant:

    Zackary King

Intelletec has partnered with a SaaS software/e-Document platform that provides sales processing and analytics. This client is looking for a Senior Data Analyst across the U.S.

The company empowers more than 37,000 growing organizations to thrive by taking the work out of document workflow. They provide a unique document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents, including proposals, quotes, contracts, and more.

 

In this role, you will:

  • Analyze company data to answer business questions, discover product insights, prepare segmentation and describe patterns
  • Apply advanced statistical techniques and causal inference methods to design and analyze web interactions(i.e., A/B testing, quasi-experimentation, statistical tests, Bayesian experimentation, etc.)
  • Apply creative, analytical problem-solving skills to a wide variety of sales/marketing questions to deepen our understanding of campaign & funnel effectiveness, customer journeys, and go-to-market performance
  • Assist the business and management team in the decision-making process using data analysis
  • Understand business strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals
  • Crafting, delivering, and owning performance monitoring dashboards that guide understanding of how the business is performing today and where it may go next

About you:

  • 5+ years of hands-on experience in analytics working with large, complex, and multifaceted data sets
  • B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, and Engineering Sciences
  • Comfortable managing multiple projects, competing priorities, and an evolving roadmap
  • Experience working with cleaning, manipulating, and visualizing data
  • Excellent communication and presentation skills and proven ability to translate data into actionable insights
  • Excellent interpersonal skills, with a consistent record of working across all levels of the organization
  • Team player who understands the collaborative nature of this work with the ability to influence at a C-suite level in a cross-functional environment

Preferred Tech: 

  • Relational Databases, including Postgres
  • Data pipeline and workflow management tools such as Airflow
  • AWS cloud services: RDS, Redshift
  • R or Python experience would be a plus but not required

It would be awesome if you had but not a must:

  • Experience in B2B
  • Advanced degree, e.g., Masters
  • Experience with statistical inference and causal inference techniques
  • Company Overview: