Senior Analyst, Business Intelligence

Horizon Media Inc.; New York (NY); On-site; USD 95,000 - 115,000; Full time

Benefits offered by this job

discretionary bonus

health insurance coverage

life and disability insurance

retirement savings plans

company paid holidays and unlimited PT

mental health and wellness resources

pet insurance

childcare resources

identity theft insurance

fertility assistance programs

fitness reimbursement

Job summary

Horizon Next is a data-driven marketing organization focused on data, people and media. The Senior Analyst, Business Intelligence will empower teams with greater data access and scalable data products across clients.

You will lead data modeling, build dashboards, and collaborate with engineering and analytics teams to surface actionable insights for media campaigns and efficiency improvements.

Qualifications

• Bachelor's degree in a quantitative field or equivalent.
• 2-4 years in analytics, BI, or similar.
• 2-3 years in media/advertising or related industry.
• 2-3 years using SQL in a work environment.
• 1-2 years with Python in a work setting.
• 1-2 years with a cloud data warehouse (e.g., Redshift, BigQuery, Snowflake).
• Experience with Git or other version control.
• Familiarity with Presto, Hive, or Spark SQL.
• Experience with BI tools like Tableau, Looker, or Domo.
• Experience with dbt (data build tool).

Responsibilities

• Lead and own data modeling and reporting for clients to enable planning and optimization of media campaigns.
• Partner on cross-client data modeling and reporting to broaden data accessibility.
• Combine disparate data sources into scalable data models for technical and non-technical users.
• Create and maintain automated data tests to ensure data quality across models.
• Collaborate with Data Engineering to ingest new sources into the data warehouse and models.
• Build and prototype new data products to expand BI capabilities.
• Create dashboards to surface trends and insights for business teams and clients.
• Mentor teammates and drive adoption of data products across teams.
• Act as liaison between Horizon Next Analytics and other internal teams on data availability.

Skills

SQL

Python

Automation

Data modeling

Data warehousing

Cross-functional collaboration

Education

Undergraduate degree in Mathematics, Statistics, or related field

Bachelor's degree in quantitative field

Tools

Git

Presto

Hive

Spark SQL

dbt

Redshift

BigQuery

Snowflake

Tableau

Looker

Domo

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.

Job Summary

The Senior Analyst, Business Intelligence will empower team members across Horizon Next with increased access to the data. They will ensure both technical and non-technical team members have access to the data they need to inform their decision-making processes. The Senior Analyst contribute to the BI team goal of creating data products and solutions that scale across our portfolio of clients.

What You’ll Do

• Develop and enhance the data and analytics capabilities of Horizon Next – 70% Lead and own data modeling and reporting efforts for individual clients to ensure internal and client teams have the data they need to plan and optimize their media campaigns
• Partner with senior BI team members on cross-client 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
• Build and prototype new data products that can increase the BI team’s offerings and capabilities
• Build data visualizations and dashboards to surface trends and insights to business teams and clients
• Mentor and level up the skills of your teammates through collaboration and by sharing your expertise
• 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 experience in 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 have a history of automating and improving processes to reduce time spent on manual work
• You have a strong background in SQL and some experience with Python in a work environment
• You have a proven history of working effectively with both business and engineering/technical teams

Preferred Skills & Experience Required

• Undergraduate degrees in Mathematics, Statistics, or comparable experience
• 2-4 years of experience in analytics, business intelligence, or a similar field
• 2-3 years of experience in media, advertising, or similar industry
• 2-3 years using SQL in a work environment
• 1-2 years of experience using Python or a similar programming language in a work environment
• 1-2 years of 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 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

Prefer candidate who can work east-coast hours. No other requirements for 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.

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

$95,000.00 - $115,000.00 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.

Benefits

• discretionary bonus
• 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
• fitness reimbursement

Want to know what makes Horizon a great place to work? At Horizon, business is personal — and that means connecting with what matters. Horizon is powered by one of the industry’s most celebrated and inclusive workplace cultures. We believe in the talent of our people and the power of personal, with our passion and commitment to excellence driving our success. Follow up on Instagram and LinkedIn.