Senior data analyst [h1.location_city]

Job Description

Job Description

Job Title : Senior Data Analyst

Location-Type : Remote (US Based)- EST hours

Start Date Is : ASAP

Duration : 3 Month Contract to Hire

Compensation Range : $50 / hour W2

Job Description :

We are looking for an experienced and highly analytical Senior Data Analyst to join our team, focusing on marketing, financial and behavioral insights. As a Senior Analyst within our Global Analytics team, you will play a pivotal role in supporting and driving data-driven insights for our fundraising efforts across the globe.

You will leverage your expertise in data analysis, statistical modeling, and reporting to guide the strategic decisions of our fundraising initiatives, ensuring that we continue to meet and exceed our goals. This position offers the opportunity to work closely with cross-functional teams, including fundraising, marketing, and finance, to deliver actionable insights that enhance donor engagement and maximize fundraising outcomes.

Major Responsibilities

Data Analysis & Reporting :

o Analyze and interpret large datasets to uncover trends, patterns, and insights that inform global fundraising strategies.

o Create and maintain dashboards, visualizations, and reports to track fundraising performance and donor engagement metrics.

o Develop and deliver regular performance reports to key stakeholders, highlighting actionable insights and areas of opportunity for growth.

o Develop comprehensive data models and reports for external benchmarking to assess performance against peers and identify opportunities for new investments.

Strategic Insights & Recommendations :

o Collaborate with senior leadership to translate analytical findings into strategic recommendations for improving fundraising effectiveness.

o Provide insights that influence global fundraising campaigns, donor retention strategies, and personalized donor experiences.

Stakeholder Collaboration :

o Work closely with cross-functional teams (e.g., fundraising, marketing, and finance) to ensure data-driven decisions are integrated into the global strategy.

o Present findings to senior management, explaining complex data insights in a clear and actionable manner.

Process Improvement & Innovation :

o Identify opportunities to enhance the data collection and reporting processes, ensuring accuracy, efficiency, and alignment with global goals.

o Keep abreast of industry trends and emerging analytics tools, and bring innovative ideas for improving the team's capabilities.

o Acting as a technical leader, collaborate with fellow Analytics colleagues to ensure best practices in coding, statistics, and general analysis.

Demonstrated Skills and Competencies :

Experience

3 years working in the field of data analytics.

Proven experience with advanced data analytics tools (e.g., SQL, Python, R, Tableau, Power BI) and data visualization platforms.

Demonstrable experience planning and executing complex analytics projects across multiple stakeholders.

Skills & Competencies

More than two years of professional experience with SQL and relational databases.

Knowledge of dimensional modeling and experience with workflow orchestration tools.

Familiarity with PowerBI, Tableau, Looker, or other business intelligence tools.

Strong analytical thinking and problem-solving skills with the ability to interpret complex data and provide actionable insights.

Soft Skills

Curiosity and willingness to explore complex and ambiguous problems and deliver actionable insights through both quantitative and qualitative data analysis.

Desire to work in a multi-cultural environment and collaborate with people from different backgrounds and experiences, with a partner-first approach to interacting with stakeholders.

Strong data visualization and communication skills : ability to "tell a story with numbers in a variety of formats : PowerPoints, dashboards, memos, and presentations.

Strong attention to detail & commitment to a high standard of work product.

Nice-to-Haves / Areas You Will Grow :

Knowledge of marketing, ecommerce, or nonprofit fundraising analytics.

Experience with Snowflake, Databricks, and dbt.

Experience with web analytics and behavioral data, and relevant tooling like Heap or Amplitude.

Knowledge of Salesforce or similar CRM technology.