Mason Tillman is seeking a Data Analyst to provide quantitative support for research and consulting projects for government and private clients. Remote work is an option.
The Data Analyst reports to the Database Manager and is responsible for compiling and analyzing data from multiple sources; cleaning, normalizing, and consolidating data to provide key insights and producing data summaries and ad hoc reports.
The ideal candidate for this position is a critical thinker who asks informed questions, seeks answers with data, has excellent organizational and analytical skills, and a strategic product mindset. Because Mason Tillman is a policy research firm, a demonstrated commitment to the principles of fairness and equity for people of color, women, and other historically marginalized groups is important. This position offers a significant level of responsibility and an opportunity for growth to individuals seeking to advance their data management skills.
Primary Responsibilities
· Develop dashboards, reports, charts, graphs, and tables for use by researchers for publication and presentation. Prepare reports with accurate, easy-to-read, and useful information in tables, charts and graphs.
· Participate in the development of outcomes and process measures, including technical specifications, to enable population measurement, guideline implementation, and evaluation.
· Maintain complex analytical routines using macros, vendor software, and customize software to analyze, manipulate, track, manage, and report data.
· Use the appropriate tools and skills to clean, normalize and, manipulate data to address client needs and to derive the best information.
· Identify potentially problematic data, make corrections, and determine and document solutions to data issues.
Minimum Experience and Skills
· Bachelor’s degree, preferably in data analytics, computer science or information technology.
· Two years of experience in a data analytics role or equivalent.
· Strong experience with Microsoft ACCESS, SQL (MySQL, PostgreSQL, or other appropriate tools) and writing database queries. Proficiency with Python and familiarity with R, are desirable.
· Technical expertise in data modeling, database development, data mining, and segmentation.
· Competency with Microsoft Access, Excel, and other Microsoft Office programs.
· Strong communication skills, both written and oral.