Job Description
Job Description
Horizon Media, founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to all the prestigious annual Best Places to Work lists published by Fortune, AdAge, Crain’s New York Business and Los Angeles Business Journal. Together we are building a place of belonging.
At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together.
Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow.
Who You Are
You are a dynamic individual with strong communication skills. You have a background in advertising and deep passion for big data and the insights we can provide for our clients. You thrive in a high integrity, fast paced, transparent environment. You will report to the Senior Product Manager, within our Product Practice. You will support efforts to develop and advance Horizon’s client data driven needs.
You are a team player who loves putting together all the right pieces of a complex puzzle. With a focus on connecting our users feedback directly to the data engineers, you will support an agile process of rapid development of data solutions. You will directly impact the success and adoption of our data products by connecting the dots between what experience our users are seeking and how we deliver the best experience.
The ideal candidate will have a strong background in big data, marketing technology, and addressable marketing. This role will focus on gathering feedback from stakeholders, UAT members, and data scientists, identifying impacts to product user experience, partnering with data engineers to scope effort, and investigating potential new data sources to enhance our portfolio.
What You’ll Do
Key Strategic Responsibilities:

Storytelling For Our Users: (35%)

• Document feedback from stakeholders, UAT members, and data scientists on opportunities for improvement.
• Create User Stories to reflect the users intent, jobs to be completed and definition of success.
• Develop and maintain comprehensive documentation of business requirements and processes.

Investigative Solution Design: (35%)

• Partner with data engineers to scope the effort required for fixes and enhancements.
• Identify impacts to product user experience and propose actionable solutions.
• Investigate and evaluate potential new data sources that would enhance our data portfolio.

Execution with Integrity: (30%)

• Collaborate with cross-functional teams to ensure alignment and successful implementation of product improvements.
• Assist in the development and execution of user acceptance testing (UAT) plans.
• Monitor and report on the progress of product development initiatives.

Qualifications:

• Bachelor’s degree in Business, Marketing, Data Science, or a related field.
• Proven experience as a Business Analyst or similar role, preferably in product development and/or marketing.
• Comfortable in technology tools such as Monday.com, JIRA, Snowflake, AWS and DBT.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively with cross-functional teams.
• Proficiency in data analysis tools and techniques.
• Experience with data enrichment, hygiene and integration.
• Knowledge of user experience (UX) principles and best practices.
• Detail-oriented with strong organizational skills.

Preferred Qualifications:

• Master’s degree in Business, Marketing, Data Science, or a related field.
• Experience with data engineering and data integration projects.
• Familiarity with marketing analytics and data-driven marketing strategies.
• Knowledge of industry trends and emerging technologies in big data and marketing.

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Please refer the Job description for details