Senior Analyst, Analytics

Horizon Media•New York, NY

2d•$85,000 - $100,000•Hybrid

About The Position

Horizon Media runs the premier marketing analytics practice in the United States combining great technology, methods and talent to grow our clients’ business. We are experts in marketing measurement; advising some of the biggest brands in the country on how to structure optimal marketing programs, how to refine their approach over time and have a great time doing it. At Horizon we pride ourselves on working collaboratively, building strong relationships and growing together. The agency creates an environment that rewards curiosity, risk taking and brings out the best in people. We invest in our talent and make sure to continuously keep up with the rapidly evolving data science and marketing landscapes. Horizon is currently looking for a Senior Analyst, Analytics to do great work with us. The ideal candidate is passionate about the data science space, continuously seeks to learn more and loves applying analytics skills within a marketing context. If these questions sound interesting, we want to hear from you: How much will my brand’s sales increase if I invest $1MM more in TV ads this year? Did the funny online ad create a more favorable view of my brand with consumers? Why did 90% of users uninstall my brand’s app after one day?

Requirements

An analytical mindset with the ability to communicate findings to others
An independent worker with strong time management and organization skills
A problem solver with the ability to develop creative solutions
A strong team player, willing to roll up your sleeves and collaborate with others
Nimble and flexible with ability to succeed in a fast-paced environment
Detail oriented with a commitment to follow through
Strong analytical skills are required, including the ability to analyze raw data, draw conclusions, and summarize actionable recommendations and their forecasted outcomes/implications.
Proficiency in ad-serving, ad verification and site analytics platforms such as DCM, Innovid, Extreme Reach, IAS, Double Verify, Adobe Analytics and Google Analytics
Familiarity with concepts of database design and SQL
Exposure to mobile, social, tablet measurement platforms and methodology
Proven skills in analytical and strategic thinking, project management, presenting, and communication
Understanding of role of multi-touch attribution and other advanced analytics in media evaluation
Experience with syndicated research sources/tools (Gfk, MRI, Simmons, Scarborough, IMS, Nielsen, comScore)
Proficient in Microsoft Excel and Powerpoint
Thought leadership on all aspects of digital advertising, digital media strategy and standard media measurement
Strong understanding of traditional and digital advertising, strategy and measurement
Experience managing and coordinating efforts across various teams/offices
Ability to manage and prioritize a number of concurrent tasks
Excellent verbal and written communication skills, with ability to convey and package complex technical ideas to multiple audiences
2-3 years relevant experience

Responsibilities

Data Communication/Cross-Functional Collaboration Work closely across the media planning and brand strategy teams to develop KPIs and reporting methodologies / approaches that match back to campaign and brand goals and to communicate that based on client needs.
Communicate concise data points, trends, and measurement strategies to a broad audience - from development and technical experts to traditional brand managers.
Drive innovation by developing new analytical approaches, optimizing data workflows, and designing scalable data structures to improve process efficiency and insight generation.
KPI/Reporting & Dashboard/Visualization Development Build robust data visualizations and interactive dashboards that are capable of delivering information in an intelligent and digestible manner.
Analysis & Insight Generation Query database tables into formats that are easily analyzable and suitable for visualization.
Analyze information to bring forward insights, results, and suggesting optimizations to improve said results.
Must be able to peel through the layers of reported data, disregarding the unnecessary, and deliver analysis and insight in a constructive and concise manner both internal and external client constituents.
Client Management Must be able to manage client expectations successfully and present key findings throughout the engagement.