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Senior Associate, Data Science & Analytics
Razorfish
New York, NY, United States
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Description
The future is infinitely wide and begging to be reimagined and SapientRazorfish is looking for people who have the courage to make their dent in what has always been. If you have an optimism that says there is no limit to what we can achieve in a time inviting those with vision to shake things up, then we should talk. Our work is fueled by connected thinking, challenging boundaries, and the power of digital redefining a connected world. Our people thrive because of the belief that it’s both our privilege and responsibility to usher our clients and the world into what is next. We’re seeking those who question the status quo and want to reimagine the way the world works while realizing a smarter way for business to help – all in service of improving the daily lives of people, the world, your career. Next_reimagined.
Job Title:
Senior Associate, Data Science and Analytics
Job Summary:
You've more than cut your teeth working on internet/web projects - you are a consultant, team player, business requirement analyzer of unparalleled skill - you lead teams and clients to the right solutions. Rock star? You are more like a Rock GOD.
Sr. Analysts are responsible for providing analytical support for both internal and external clients. Sr. Analysts take ownership and manage their projects and complete tasks with little structure. Sr. Analysts work seamlessly across multiple clients or projects that help our clients improve their marketing performance.
SapientRazorfish Data group is responsible for data driven strategic thinking and insight across multiple client engagements. Specifically, we:
•Discover new paths for growth for our clients through rigorous analysis of consumer data
•Help optimize budget and programs through test-and-learn, discipline, innovation and analysis to get the best possible return on our clients’ marketing investments
•Identify key client customers for retargeting and advertising
•Collaborate with creative, media, marketing and technology to build a robust marketing strategy for the client
Responsibilities:
•Perform hands-on analyses on large volumes of transaction and customer level data
•Work with complex data structures; manipulate and cleanse data and perform statistical analysis
•Interpret data and analyze results to generate insights and formulate the strategic implications to clients
•Deliver analyses such as: advertising performance analysis, website analytics, customer segmentation, survey design and analysis, ROI modeling, lifetime value analysis, cross channel analysis, media mix analysis and brand research
•Produce easy-to-understand, error-free, and timely deliverables that analyze user behavior and motivations online to provide actionable insights that address client business objectives
•Independently deliver results and presentations to internal stakeholders and clients
•Develop client relationships and partner with internal stakeholders
Management/Leadership
•Contribute to the success of other team members (West and nationally) by providing training, knowledge sharing and best practices
•Effectively manage projects with support from senior team members
•Mentor and educate junior team members on job-relevant skills (SQL, SAS, web analytics, survey design, etc.)
Soft Skills
•Presentation, storytelling, and project management trainings
Hard Skills
•SQL, SAS (or Stata), Microsoft Office products, Tableau
Experience Guidelines:
•2-4 years of work experience in a quantitative business environment
•Has shown an intellectual curiosity and a passion for digital analytics
•Has questioned the norms and elevated the value or process behind their work
•Has experience performing analyses on large data sets, interpreting data and generating insights
•Has executed projects with strong output and little oversight
•Has developed strong relationships with internal and external audiences
•Has exhibited strong communication skills when explaining complex concepts
•Has demonstrated expertise with tools such as: SQL, SAS (or Stata), web analytics tools, survey design, etc.
Education:
Bachelor’s degree, MBA or Master’s degree in quantitative studies. The equivalent combination of education, training and work experience may be suitable