Sr. Analyst, Data & Analytics Job at Quigley-Simpson in New York

Quigley-Simpson seeks a Senior Analyst, Data & Analytics, to research, analyze, and report on omnichannel media, including market trends, competitors, customers, and campaign performance. Proficiency in rules-based attribution models and SQL for database exploration is required. Experience with paid media ecosystem-customer journey/marketing funnels, retargeting audiences, etc. • Proven analytics background: ideally focused on campaign performance analytics. Big plus: demonstrated knowledge of A/B, MVT, and other forms of testing • 2+ years of experience working with a data visualization tool and experience designing dashboards for different stakeholders with different needs and goals. Experience with Tableau/Power BI (or similar tools, e.g., 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; Experience conducting ROI analysis, making optimization recommendations and developing key insights for online and/or offline advertising • Working knowledge in SQL and one of these programming languages: Python or R (SQL tests will be administered to all candidates) • Ability to troubleshoot data issues • Knowledge of Brand Impact measurement • Has successfully managed projects through partnerships with cross-functional teams, both internal and external • Manage data visualization platforms, including managing the API connections and offline data inputs, updating data models as needs change, establishing templates and best practices for the organization • Understand and help define the Key Performance Indicators (KPIs) of campaigns and marketing activities and derive relevant metrics, targets, and data collection strategies • Execute data visualization and dashboards in Tableau • Function as a liaison between account teams and technical resources to translate business needs into data infrastructure Analyze collected data and present results, including hypothesis development • LI-REMOTE