Moore · 3 days ago

Data Analyst

Lanham, MD

Full-time

Hybrid

Entry, Mid Level

2+ years exp

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PrintingService Industry

Insider Connection @Moore

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Provides standard, ad hoc, and custom reporting using Moore’s proprietary products, developed and managed with Microsoft Power BI.

Develops, maintains, and troubleshoots custom dashboards and reports.

Works with agency team members and partners to interpret results, make strategic recommendations, and design new solutions.

Collects and analyzes datasets using Excel, MS Access, R, SQL, Power BI and other tools and languages as required.

Serves as an internal resource for technical and substantive training and questions.

Identifies areas for statistical innovation or process improvement, performs independent research, develops innovative approaches, processes, or code.

Qualification

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Data AnalysisExcelMS AccessReporting PlatformsCRMsFundraising MetricsFile SegmentationDirect Marketing StrategyMicrosoft Power BIDAX ProgrammingData MiningSegmentationRandomized Test DesignForecastingData VisualizationProblem-SolvingInterpersonalCommunicationPresentation

Required

2+ years of experience as a marketing data analyst with a non-profit organization or an agency that provides direct marketing services to non-profit organizations.

Bachelor’s degree in mathematics, marketing, economics, management information systems, or related field. Additional work experience may satisfy the education requirement.

Proficiency with data analysis and visualization in Excel, MS Access, and reporting platforms that sit atop multiple database and non-database sources.

Experience with multiple CRMs used in nonprofit fundraising, such as Aegis, DMI, Blackbaud CRM, Salesforce, and Raiser’s Edge, as well as eCRMs and tools such as Luminate, Classy, Salsa, ActiveCampaign, and MailChimp.

Experience in the use of Microsoft Power BI desktop, with knowledge and experience loading and transforming data within the tool and writing and editing DAX programming.

Familiarity with fundraising metrics, file segmentation techniques, and direct marketing strategy across multiple channels.

Proven ability to perform analytic tasks (including but not limited to data mining, segmentation, randomized test design, forecasting, data visualization, etc.) and creating meaningful outputs.

Excellent written, oral, interpersonal and presentation skills and the ability to effectively interface with clients and internal teams.