Analyst, Business Intelligence

Horizon Next; New York (NY); On-site; USD 70,000 - 85,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid holidays

Unlimited PTO

Mental health resources

Pet insurance

Childcare resources

Fertility assistance

Fitness reimbursement

Identity theft protection

Job summary

Horizon Next is a data-driven marketing organization that sits at the intersection of people, data and media. We lead strategic analytics to accelerate growth for our clients through brand strategy, media planning and best-in-class measurement.

We value diverse perspectives and empower employees to grow, with an emphasis on building scalable data products and automated processes that support decision-making across teams. This role focuses on data modeling, QA testing, and client KPI delivery.

Qualifications

• Bachelor's degree in a quantitative, analytics or business subject.
• 1-3 years of analytics, business intelligence, or similar field.
• 1-2 years in media, advertising, or related industry.
• 1-3 years using SQL in a work environment.
• Experience with a cloud data warehouse (Redshift, BigQuery, Snowflake).

Responsibilities

• Partner with senior BI team on data modeling and reporting efforts.
• Bring together disparate data sources by building data models.
• Create and maintain automated data tests to ensure data quality.
• Collaborate with Data Engineering to bring new sources into data warehouse.
• Act as liaison between Analytics and other internal teams on data sources and reporting.
• Educate non-technical teams on data products and KPIs for campaigns.
• Work with Horizon Next clients to define KPIs for media campaigns.

Skills

SQL

Data analytics

Automation tooling

Business-technical bridge

Education

Bachelor's degree in a quantitative, analytics or business subject

Tools

Git

Presto

Hive

Spark SQL

Python

Tableau

Looker

Domo

dbt

Job description

Job 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

Required

Preferred Skills & Experience

• 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)

#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 - $85,000.00

A 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.