Director of Analytics

  • Full-time
  • Anywhere

Website Quigley


We are looking for a Director of Data & Analytics with significant experience in media advertising. Someone who keeps the customer first in mind, insists on continuing to learn every day, and thrives in a highly collaborative work environment.

We would encourage you to apply if you live in the following states: California, New York/Tri-State area/Massachusetts/Florida/Illinois/Michigan/Texas/Colorado/Oregon.

The role is part individual contributor, part team leader, responsible for leading the day-to-day analytics engagements across key agency accounts and building agency data products, with an opportunity to grow into a larger leadership role as the analytics group at Quigley-Simpson expands.

The Director, Data & Analytics will be responsible for performing media analysis and insights reporting, potential and existing customer analysis, and campaign performance analysis. She/he will examine a campaign’s ROI/ROAS; identify new market opportunities; analyze marketing metrics to identify relationships; identify positive financial outcomes to increase profitability; meet with clients to ascertain marketing goals; generate reports that analyze customer behavior; and offer insights that drive client growth goals.

The position requires significant experience with marketing analytics across multiple media channels (Digital, Social, SEM, Programmatic, Mobile, OTT, CTV, Linear, etc.) and an understanding of how to align online and offline KPIs with different points in the purchase funnel to explain the value of upper- and lower-funnel channels. Knowledge of rules-based attribution models and attribution reports in web analytics (Google Analytics, Adobe) and ad tracking platforms (DCM, TTD, Innovid) is mandatory, as is experience using SQL to build ETL processes and execute product design.

The Director, Data & Analytics will be a member of the agency’s Data & Analytics team. This individual will work in a fast-paced environment with multidisciplinary team members

Core Accountabilities:

· Lead and mentor 1–4 senior analysts and managers

· Manage assigned client engagements and workloads

· Devise and own analytics and reporting processes, including requirements-gathering in collaboration with internal stakeholders

· Develop and implement custom SQL processes to build and maintain internal data products

· Execute data visualization and dashboards in Tableau—certification is required for position

· Function as a liaison between nontechnical teams and technical resources to translate business needs into data infrastructure and reporting approach

· Analyze collected data and present results, including hypothesis development

· Monitor and provide optimizations recommendations for omnichannel campaigns

· Design and conduct A/B testing and make recommendations for optimization

· Manage the data infrastructure of your assigned accounts via Snowflake, Tableau, and

· Develop and deploy both supervised and unsupervised models for classification and prediction (e.g., ARIMA, regression, decision trees, neural networks, clustering)


Academic Requirements:

· Bachelor’s degree


Required Skills/Experience:

· 8+ years in analytics overall; 6+ years in marketing analytics

· 8+ years working in a client-focused environment such as an ad agency or adjacent business

· 8+ years of experience working with a data visualization tool and experience designing dashboards for different stakeholders with different needs and goals

· Experience with web analytics platforms and using them to analyze paths to conversion and to generate insights around the impact of marketing

· Experience providing analysis and insights for one or more of the following: web and search traffic; email messaging statistics; social media trends; and offline media impact

· Experience conducting ROI analysis, making optimization recommendations, and developing key insights for online and/or offline advertising

· Expert knowledge in SQL—tests will be administered to all candidates

· Strong knowledge of Python (Pandas, Numpy (SciPy, scikit-learn), Tensor Flow, stats)

· Strong background in statistics (data mining, principal component analysis, descriptive statistics)

· Expert level understanding of database structures (normal forms, keys) and applications

· Has successfully managed projects through partnerships with cross-functional teams, both internal and external

· Ability to work well within a team environment

· Highly detail-oriented and organized with the ability to multi-task and work in a very fast-paced environment

· Bachelor’s degree in quantitative field required, Master’s degree (computer science, engineering, statistics, analytics, or STEM program) highly preferred

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