YOUR ROLE

We are looking for a passionate, collaborative, and adaptable Sr. Analyst to join our team (in a hybrid role - working in office and from home). The Analytics group (Redbox) is passionate about data analysis, measurement, and storytelling. We are nimble and scrappy, employing multiple traditional and non-traditional methods and data sources to tackle consumer insights, audience exploration, brand health, competitive analysis, media attribution, media accountability, data dashboarding and advanced modeling. We believe it is important to guide clients' media effectiveness measurement to be holistic, capture incrementality, and focus on business outcomes (not vanity media metrics).

As a Sr. Analyst you will drive day to day analytics excellence for our clients. You will help promote data driven decision making across the agency and with our clients. You will collaborate with New Business, Strategy, and Account Tems. The agency looks to the Analytics group for direction, strategic thinking, and prowess in data science.

• You have a love of data, analysis, and creative problem solving
• Are comfortable leading client conversations
• Have solid organizational skills including attention to detail and multi-tasking agility
• Adaptable, proactive, and able to work independently or in a team setting as needed
• Don't mind rolling your sleeves up for data cleansing, data visualization, and analysis
• Not afraid to speak up, ask questions, share your thoughts, and listen to others

RESPONSIBILITIES

• Transform raw data into engaging visuals and compelling stories. You will bring data and research to life for clients and choose the best visuals and mediums to deliver your message.
• Translate clients' business questions into an actionable measurement frameworks.
• Generate quantitative and qualitative consumer and market research including:
  • Demographic, psychographic, and behavioral customer profiling
  • Media channel coverage, penetration, receptivity
  • Brand health deep dives
  • Competitive analysis
• Help media team understand historical media performance, optimal media budget, and allocate budget across multiple media channels

REQUIREMENTS

• 2-3 years of experience in the marketing analytics space.
• Experience creating data visualizations and dashboards to support media investment decision making
• Past use of common media research tools: YouGov, MRI-Simmons, Scarborough, GWI (Global Web Index), Vivvix, Pathmatics, or Nielsen Media Impact
• Hands on experience with media measurement approaches including marketing mix modelling (MMM), multi-touch attribution (MTA), experimentation, or brand lift studies.
• Knowledge of statistical techniques (multivariate regression, optimization, clustering, forecasting)
• Familiarity with programming languages is a plus (R, Python, dbt, SQL)

Location: This role is hybrid and requires working onsite at our New York office, with flexibility to work from home too

Salary: 75,000-95,000. Commensurate with experience. Compensation is determined on the skills, qualifications, certifications, tenure in the industry and experience of the applicant along with the requirements of the position.

CROSSMEDIA BENEFITS

Our principles of Trust, Reason, and the Pursuit of Happiness are brought to life through benefits that recognize and support the diversity and physical, emotional, and professional well-being of our people, including:

• Flexibility to work in hybrid manner with in-office and work from home options (depending on role).
• Open/Flexible PTO/Annual leave with US & UK specific policies
• Sponsored healthcare options and agency-wide physical & mental health support
• 401k with company match (USA), and generous Pension (UK)
• Paid sabbatical at significant milestone anniversaries
• Generous paid parental leave policy
• Life milestone recognition & support
• The Pursuit of Happiness Fund devoted to helping Crossmedians find their happy (be it travel, enrichment class, fitness membership or professional development)
• Cell phone/tech reimbursement
• Student Loan payment plan (US)
• Tuition reimbursement
• Learning & Development and training programs
• And burgers - lots and lots of burgers