Director/Senior Data Strategist

Posted 1 month ago

Details

Compensation

Not disclosed

Industry

Not disclosed

Time commitment

Full time

Company size

Not disclosed

Skills

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