Ad Operations Analyst II

Strategic Imperative:

The Ad Operations Analyst II is responsible for analyzing business metrics to identify trends and insights, creating reports and dashboards for data communication, and implementing improvements based on data analysis. The role also involves presenting findings to internal teams, managing multiple projects, and recommending new technologies or processes to align with business objectives.

Prodege:

A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major investment by Great Hill Partners in Q4 2021 and strategic acquisitions of Pollfish, BitBurst & AdGate Media in 2022, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences.

As an organization, we go the extra mile to Create Rewarding Moments every day for our partners, consumers, and team. Come join us today!

Primary Objectives:

• Data Analysis and Reporting:

• Problem-Solving and Improvement:

• Communication and Presentation:

• Technical Proficiency:

Qualifications - To perform this job successfully, an individual must be able to perform each job duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Detailed Job Duties: (typical monthly, weekly, daily tasks which support the primary objectives)

• Data Analysis and Reporting:

• Gather and analyze qualitative and quantitative data related to various business metrics such as advertising performance, user engagement, user complaints, refunds/credits, and revenue generation.

• Utilize statistical methods, analytical tools, and logic to extract meaningful insights from data and make actionable recommendations.

• Create comprehensive reports and dashboards to communicate key metrics and insights.

• Problem-Solving and Improvement:

• Identify opportunities for improvement within the data and implement data-driven solutions.

• Resolve problems, anticipate business needs, and address issues or trends identified in the data as needed.

• Communication and Presentation:

• Present findings to internal teams, highlighting opportunities and challenges in a clear and understandable manner.

• Organize, track and monitor multiple projects simultaneously with a keen attention to detail.

• Technical Proficiency:

• Make recommendations for adopting new technologies and/or business processes that align with business objectives and improve operational efficiency.

What does SUCCESS look like?

Successful performance in the Ad Operations Analyst II role involves effectively analyzing and reporting on various business metrics to uncover trends and insights, leading to actionable recommendations for improvement. The individual will excel by creating detailed reports and dashboards, clearly communicating findings to internal teams, and managing multiple projects with precision. Additionally, success includes identifying and solving problems through data-driven solutions, recommending technological advancements or process changes to achieve business objectives, and demonstrating technical proficiency in statistical methods and analytical tools.

The MUST Haves: (ex: job cannot be done without these skills, education, experience, certifications, licenses)

• One or more (2+) years of relevant analysis work experience in similar roles or industries.

• Adaptable and willing to embrace new technologies and methodologies.

• Experience with data analysis tools and software relevant to the job (e.g., SQL, Excel, Sigma, Snowflake, Python for data analysis, BI tools like Tableau or Power BI).

The Nice to Haves: (ex: preferred additional skills, education, experience, certifications, licenses)

• A Bachelor's degree in a related field (e.g., Statistics, Computer Science, Economics) is preferred.

• Advanced statistical analysis or modeling skills, familiarity with machine learning techniques could be beneficial but not essential for the core responsibilities of the role.

Pay Transparency:

The anticipated base salary range for this position is $72,000 to $85,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to; the type and length of experience within the job, type and length of experience within the industry, the type and length of knowledge and skills for the position, education, training, etc. Prodege is a multi-state employer and final compensation within this range could be impacted by work location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Prodege Benefits:

Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance. Employees receive flexible PTO, as well as paid sick leave prorated based on hire date. US Employees have eight paid holidays throughout the calendar year. Employees receive an option to purchase shares of Company stock commensurate with their position, which vests over four years.