Fuse Fundraising is a consulting agency that supports nonprofits through direct response fundraising strategy. As the

Analytics Manager

, you will be responsible for transforming raw data into actionable insights, empowering our client teams to make informed decisions. Working in a collaborative, team-based environment, the Analytics Manager reports to the Executive Vice President.

Experience and Capabilities

? Client-focused mindset, with a commitment to understanding and supporting client needs and expectations.

? Strong analytical and problem-solving skills, with attention to detail and a focus on delivering high-quality work.

? Expertise translating business requests into meaningful deliverables, including visualizations that are both impactful and visually appealing.

? Experience building and maintaining Python ETL processes, including investigating and resolving data anomalies, discrepancies, and errors in the ETL pipeline.

? Ability to conduct ad hoc data analysis to answer business questions and investigate data issues.

? Demonstrated capacity to lead and mentor junior team members, providing guidance, support, and constructive feedback.

? Curiosity, self-motivation, and a desire to continuously learn and improve

Required Skills

? Proficiency in Python, including data manipulation libraries such as Pandas and NumPy.

? Experience with ETL management, including design, debugging, and optimization.

? Demonstrated understanding of data visualization principles and experience with data visualization tools such as Tableau, Power BI, or similar.

? Excellent communication skills, with the ability to bridge the gap between technical and non-technical stakeholders

? Strong interpersonal skills, with the ability to build and maintain relationships with team members, stakeholders, and clients.

? Proven track record of organizational and time management skills, with the ability to prioritize tasks and meet deadlines.

Preferred Skills

? Experience creating scalable and dynamic visualizations in Power BI

? Familiarity with Azure technologies (e.g., Databricks, Azure Data Lake)

? Experience with machine learning and predictive analytics techniques

? Previous experience in a marketing or non-profit environment

Job Type: Full-time

Benefits:

? 401(k)

? Dental insurance

? Health insurance

? Paid time off

? Vision insurance

Schedule:

? Monday to Friday

Education:

? Bachelor's (Required)

Work Location: Hybrid, Reston, VA (occasional days in office, up to one day per week)

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Senior Data Management Analytics Manager
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