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
- 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
- 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
- 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
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
- 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)
Certificates, Licenses and Registrations
No requirements for certificates, licenses and registrations.
Physical Activity and Work Environment
The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer.