The Role
Looking for an Associate Director, Data Analysis with excellent technical and interpersonal skills, strong attention to detail, the desire to learn new tools, and the chops to lead analytic project scopes. You will contribute to data mining, data cleansing/processing, and data analysis initiatives for media analytics projects such as Marketing Mix Modeling (MMMs), Incrementality Testing, Customer Lifetime Value and Segmentation, Data Clean Rooms, and custom data analyses. As part of the general business Data Analysis team, you will experiment and develop new ways to extract actionable insights from data. You will also work with internal stakeholders to identify impactful changes as a result of operational efforts.
A major function of this role will be to assist in the scoping of end-to-end solutions, document processes, and guidelines, and assist in the delivery roadmap of actionable insights to our client's marketing initiatives. The ideal candidate will have the ability to supervise the progress of ongoing analytic tasks and recommend opportunities for improvement. This individual should also demonstrate a solid understanding (or an eagerness to learn) of the business models that are currently revolutionizing digital marketing with a strong technical background.
This individual will also maintain existing solutions while gaining guided experience in advanced analytics to enable increased responsibility over time.
You Will Be
- Managing the progress of multiple analytic projects and ensuring the projects meet their respective deadlines
- Supporting internal and external stakeholders by understanding their challenges, translating the challenges into solutions, and delivering both off-the-shelf and custom solutions
- Clearly defining and managing project scope, deliverables, timelines, and dependencies for data analysts, internal stakeholders, and clients
- Prioritizing analytics based on areas of highest return, making decisions on accepting or declining analytics and automation activities, and maintaining regular communication with stakeholders to track and update analytics initiatives
- Identifying business problems and selecting appropriate investigative testing and solutions
- Presenting data in a clear and visually appealing manner for technical and non-technical audiences using various visualization and presentation methods
- Interpreting, presenting, and communicating results through presentations and dashboards that convey compelling business stories and facilitate data-driven decision-making
- Articulating the actionable insights derived from analysis results
- Overseeing and mentoring one analyst who manages a shared book of business
You Must Have
- 5+ years of hands-on data analysis experience within an agency or in-house media environment
- Bachelor's degree in a quantitative field (Stats, Mathematics, CS, Information Technology, Economics, Engineering, etc.)
- Experience designing and executing custom analyses that support client business objectives
- Able to transform diverse business problems into quantitative proposals and measurement studies
- Ability to build relationships across business units and work well in a collaborative team environment
- Strong critical thinking skills and a natural affinity for numbers and the ability to tell a story using data
- Intermediate to advanced programming skills in at least one programming language (R and Python) for data cleaning, data modeling, building pipelines, and API calls
- Advanced experience in SQL
- Familiarity with at least one BI platform and the ability to learn others (i.e.: Looker, Tableau, MicroStrategy, Power BI, Google Data Studio, Datorama, etc.)
- Working knowledge of using the command line
- Experience/familiarity with version control
- Excellent analytical and problem-solving skills with strong attention to detail
- Strong communication skills, with experience in creating and delivering presentations and executive summaries
- Knowledge of media/advertising platforms
Nice To Have
- 1-2 years of experience managing a technical team, preferably in analytics
- An advanced degree in a quantitative field Experience in both Python and R
- Experience with project or product management in an agile environment
- Experience with Analytics software, such as Google Analytics and Adobe Analytics
- Experience with statistical modeling, data mining, and/or machine learning
- Experience with cloud computing
