- Salary
- $70k – $85k
- Location
- New York, New York, United States of America
- Type
- Full-time
- Experience
- 1+ years
- Source
- Workday
Description
Job Description
Who We Are
Horizon Next is one of the industry's most innovative and data-driven marketing organizations and sits at the intersection of three constantly changing landscapes: people, data, and media. Our business provides strategic leadership to accelerate growth for our clients through brand strategy, media planning and investment, and best in class analytics across all channels. As the leader in innovative business solutions, we are always pushing ourselves to understand what’s next: our next innovation, our next advancement in analytics, the market’s next media evolution, and your next breakthrough idea. Horizon Next operates with the single goal that tomorrow must outperform today.
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.
What You’ll Do
Develop and enhance the data and analytics capabilities of Horizon Next – 70%
Partner with senior BI team members on data modeling and reporting efforts to make data as accessible as possible throughout Horizon Next
Bring together disparate data sources by building data models that can be used by both technical and non-technical stakeholders
Create and maintain automated data tests to ensure high data quality across all data models
Collaborate with Data Engineering team members to bring new data sources into our data warehouse and add them into new data models
Drive education and adoption of data products across teams – 30%
Act as a liaison between the Horizon Next Analytics team and other internal teams on matters related to data sources, data access, and reporting availability
Educate non-technical team members on our data products and how best to use data to inform their decision-making process
Work with Horizon Next clients to understand their data and create meaningful KPIs for media campaigns
Who You Are
You have a background in or knowledge of the media, advertising, or direct-response industries
You have a background in data or analytics but are more interested in building processes, automation, and tooling than providing insights and recommendations
You are comfortable having one foot in the “business” world and one foot in the “processes & code” world
You enjoy creating reusable and automatable processes that can scale
You have a strong background in SQL
A supporter of and advocate for diversity, equity and inclusion
Preferred Skills & Experience
Required
A minimum of a Bachelor’s degree in a quantitative, analytics or business subject area
1-3 years of experience in analytics, business intelligence, or a similar field
1-2 years of experience in media, advertising, or similar industry
1-3 years using SQL in a work environment
Experience with a cloud data warehouse like Amazon Redshift, Google BigQuery, or Snowflake
Preferred
Experience with Git or a similar version control system
Experience with a query engine like Presto, Hive, or Spark SQL
Experience with Python or a similar programming language
Experience with BI or dashboard tools like Tableau, Looker, or Domo
Experience with dbt (data build tool)
#LI-KG1
#LI-HYBRID
#HN
Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Salary Range
$70,000.00 - $85,000.00A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.
