Senior Analyst, Product Management (Temp)
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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.
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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.