Senior Analyst, Product Management (Temp)

Horizon Media Inc.; New York (NY); Hybrid; USD 74,000 - 88,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Horizon Media Inc. is seeking a Senior Analyst, Product Management to support the Horizon Next Analytics models in New York. This hands-on role focuses on data inputs, model execution, and improving reporting for client campaigns.

You’ll work with SQL, Python, and cloud data warehouses to ensure data quality, build new features, and automate onboarding. A Master’s degree is preferred, with ad-tech experience considered a plus.

Qualifications

• Advanced SQL data transformations and analytics
• Python for data analysis and pipelines in a work environment
• Experience with cloud data warehouses (Redshift, Snowflake, BigQuery)
• Familiarity with dbt, Git, Tableau; ad-tech industry experience is a plus
• Master’s degree in a technical field or equivalent work experience

Responsibilities

• Deploy and maintain Next Analytics models for Horizon Next clients (60%) ensuring pipelines run smoothly and data quality is high.
• Help strategy and client teams interpret model outputs and onboard new clients by gathering required data inputs.
• Update models for existing clients, add features or KPIs, and automate onboarding and deployment.
• Lead QA of model input/output and collaborate to improve processes and reporting with client teams (20%).
• Mentor junior team members and work with manager to develop new model reporting solutions (20%).

Skills

SQL

Python

dbt

Git

Tableau

Education

Master's degree in Business Analytics or related field

Tools

dbt

AWS Redshift

Snowflake

Google BigQuery

Job description

## Senior Analyst, Product Management (Temp)Apply: New York, New York: Full time: Posted Yesterday: R0017682**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** Data and Analytics are core components of Horizon Next. They are used to drive and inform decision making at all levels of the company. The Horizon Next Analytics team offers a suite of analytical models to help our strategy and client teams plan and optimize media campaigns. The **Senior Analyst, Product Management** will assist, and in some cases, lead in the implementation and maintenance of these models across our clients. They will become a knowledgeable resource on the models offered by Next Analytics and will work closely with the Horizon Next strategy and client teams as they use the various models. The Senior Analyst will be familiar with the process of running and setup for these models. The Senior Analyst will also be responsible for addressing issues in reporting of these models and work with other team members to identify and build improvements. This is a hands-on role in which the Senior Analyst will be deeply involved in both the data inputs for the models and the code that runs them. The Senior Analyst is an elevated role from Analyst, which has more responsibility towards the day to day managing of reporting and requires a more proactive role within the team. The Senior Analyst will be seen as experienced team member who can work self-sufficiently, identify problems, suggest solutions, and implement them. **What You’ll Do** * Deploy and maintain Next Analytics models for Horizon Next clients (60%)* Ensure existing model pipelines run smoothly and produce high-quality data* Help strategy and client teams interpret model outputs* Take lead with onboarding new clients by gathering the required data inputs needed for their models* Update models for existing clients to add new features or KPIs* Identify opportunities to automate model onboarding and deployment* Investigate model bugs or output issues that may arise* Be an active team member in data discovery meetings* Manage QA of model input and output (20%)* Lead on building processes to provide data to client teams for transparency and reporting* Work with client teams to maintain QA files* Help to update mappings and reference tables* Troubleshoot issues with data ingestion and create tickets to address* Improve existing processes (20%)* Work with manager to further develop models* Build new solutions towards model reporting* Take time understanding how models work and gain insights from them* Mentor junior team members in their roles and help them develop their own skills as needed **Who You Are** * You want to empower your team members to make informed decisions for the company by providing them with the information and data they need* You enjoy tracking down discrepancies and finding the root cause of an issue* You have a “get it done” mentality and view new requests and challenges as opportunities to shine* You love learning new things and see unfamiliar technology or code as a chance learn and grow* You have spent time in a technical and coding-based role with experience both in data analysis and algorithms as well as data pipelines* You have experience working “hands-on” with modeling code and with raw/messy data* You can explain model requirements to non-technical users and help them interpret model results **Preferred Skills & Experience** * A strong understanding of how to use SQL to build complex data transformations* Experience using Python for data analysis and pipelines in a work environment* Familiarity with a cloud-based data warehouse like AWS Redshift, Snowflake, Google BigQuery, etc.* Nice to have: experience using dbt, Git, Tableau and experience in the media/advertising/ad-tech industries **Certificates, Licenses and Registrations** Master’s degree in Business Analytics, Computer Science, Mathematics, Statistics, Economics, Quantitative Marketing, or related technical fields, or equivalent years of work experience **Physical Activity and Work Environment** No requirements for physical activity and work environment **Salary Range:** $1,634.62 to $1,923.08 a week. A successful applicant’s actual weekly or hourly rate may vary based upon, but not limited to, skill sets, experience and training, licensure/certifications, and equity. #LI-TV1#LI-HYBRID#LI-HN 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. **Base Pay**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.*