Director/Senior Data Strategist

Posted 1 month ago


Not disclosed
Not disclosed
Time commitment
Full time
Company size
Not disclosed


Data Science

Job description

A well-established company that is providing direct marketing, brand strategy, and media mix modeling solutions to businesses, is looking for a Director/Senior Data Strategist. The selected candidate will be reporting directly to the VP of Innovation (Technology & Data Science) and will be in charge of leading new analytical projects to produce fresh, useful insights for clients. The U.S.-based company is utilizing world-class data-backed technology to provide businesses with brand-building and marketing strategies. This is an exciting opportunity for candidates who thrive in a fast-paced, rapidly-changing environment.
Job Responsibilities:
  • Engage in technical analysis, architecture, design, programming, deployment, and maintenance as well as other elements of the development lifecycle.
  • Investigate various aspects of products and experiences independently
  • Collect and analyze user behavior using surveys, benchmark studies, server logs, ethnography, lab work, fieldwork, and online experiments (A/B testing)
  • In-depth knowledge of diminishing returns analysis, propensity models, marketing mix modeling (MMM), and campaign test design to evaluate and inform clients' return on media investment
  • Collaborate with internal and external designers, product managers, project managers, business owners, developers, and other user experience researchers to prioritize research possibilities.
  • Encourage the dissemination of research findings to a variety of audiences through written reports and in-person presentations by comprehending and incorporating complicated technical and business requirements
Job Requirements:
  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data scientist/strategist/analyst
  • Prolific experience working with Python, R, and Tableau
  • Demonstrable experience with SQL/SQL DBs, MS Office Suite, and Google Analytics
  • Nice to have some knowledge of Adobe Cloud and Snowflake
  • Demonstrable ability to extract business insights from large datasets and use them to drive business change
  • Extensive experience performing analysis with large datasets and building reports and dashboards using business intelligence tools
  • Prior experience building out a modern analytics data stack is nice to have
  • Experience coding in different scripting languages like Python or R
  • Extensive SQL knowledge, capacity to work with massive datasets, and aptitude for sophisticated queries
  • Must possess an impact-oriented mindset while experimenting with design, multivariate analysis, and statistical approach
  • Excellent problem-solving and communication skills
  • Track record of asking the right questions
  • Familiarity with SDLC processes, particularly Agile
  • Keen eye for detail and data integrity
  • Strong desire for or experience in data science and machine learning
  • Prior extensive, tactic experience in media data
  • Experience working with retailer data or with large, national retailers/grocers like Amazon, Walmart, Target, Kroger, or Albertsons
  • Create and implement SaaS-based applications that combine media and eCommerce data
  • Develop, train, and produce new models to be used to optimize media and eCommerce
  • Create and elevate current analytics methodology, build a replicable statistical framework
  • Assess business and marketing obstacles, discuss potential solutions, and put a plan into action in close collaboration with customers and account teams
  • Working with the Data Engineering team to ensure that data procedures are automated and effective, model outputs and inputs
  • Prior experience working for a high-tech startup is very desirable
  • Fluent in spoken and written English communication

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