Sr. Research Data Analyst

American Medical Association•Chicago, IL

11h•Hybrid

About The Position

The American Medical Association (AMA) is seeking a Sr. Research Data Analyst for their Physician Satisfaction team at their corporate offices in Chicago, IL. This is a hybrid position requiring 3 days a week in the office. The role involves analyzing various campaigns to derive insights and recommendations for improving membership performance, closely monitoring and forecasting membership trends, assessing campaign pacing against previous years, providing monthly membership reports and insights, and fulfilling data requests from different teams across the organization. The AMA is a unifying voice for physicians and is dedicated to improving public health and fostering an inclusive, people-first culture that supports professional development and social responsibility.

Requirements

Bachelor's Degree required; in a relevant field such as data science, statistics, economics, business, or a related discipline.
7+ years experience in data analytics, database marketing, campaign management/effectiveness tools, and other functions related to measuring/improving key programs and ensuring that strategic decisions are data-based, with a proven commitment to delivering outstanding service.
Outstanding analytical, data manipulation and reporting skills, including ability to quickly identify key needs from various stakeholders (“clients”), translate those needs into required analytical processes, and synthesize and report back results in a clear, actionable manner to inform strategic improvements and/or recommendations for other Marketing content owners.
Must have the ability to extract and use data, yet analytically versed enough to provide comprehensive reports on Direct Marketing Activity and target audience behavior.
Strong written and verbal communication skills, especially the ability to express analytic results and technical concepts effectively to ensure they inform strategic decision-making.
Experience with Forecasting: Familiarity with forecasting models and methodologies for predicting trends and performance.
Proficiency in data analysis software such as Excel, SQL, R, Python, Google Analytics required.
Experience with data visualization tools like Tableau, Power BI, or similar software required.
Database Management: Knowledge of data management systems and querying databases to retrieve and analyze data required.
Ability to identify issues and propose data-driven solutions.
Ability to work well with cross-functional teams and build productive working relationships.

Responsibilities

Campaign Data Analysis: Evaluate membership marketing campaigns by analyzing data to identify trends, successes, and areas for improvement. Analyze audience segments to understand different group responses and adjust strategies. Define analytic approaches for marketing needs, including pre- and post-campaign analysis, measuring responses to marketing offers, and recommending enhancements to campaign strategy. Provide actionable interpretations of analysis and present findings to management. Make recommendations to improve campaign performance, drive membership growth, and identify future marketing opportunities. Propose new tactics based on analysis of past efforts. Predict future membership trends based on historical data, current performance, and external factors. Compare current performance with the prior year to identify pacing trends and potential areas for optimization.
Reporting: Work across multiple systems and departments to understand, access, and manipulate large quantities of data for analysis. Guide data and analytic improvements across supported business units. Assist in assuring that Web, E-Mail, and Direct Marketing Systems are set-up to track marketing campaigns for back-end analysis and reporting effectively. Compile monthly reports detailing membership performance, including metrics such as acquisition rates, retention, and churn. Monitor and track key performance indicators (KPIs) to assess the effectiveness of campaigns and membership initiatives. Analyze trends in membership data to identify patterns and opportunities for improvement. Create clear, concise summaries of monthly reports for senior management and key stakeholders. Develop and present data visualizations and dashboards to communicate findings effectively.
Data Requests: Retrieve and organize data from various sources to fulfill data requests from different teams or departments. Ensure data accuracy and integrity when processing and providing data to other teams. Conduct specialized analysis upon request to support decision-making across various functions. Deliver requested data and insights in a timely manner to support other teams' projects and initiatives. Collaborate with other departments such as marketing, sales, and finance to provide data-driven support and insights. May include other responsibilities as assigned.