Analyst, Data

Analyst, Data

OPPORTUNITY

Nationally recognized nonprofit venture philanthropy seeks to hire an analyst to provide strategic and operational capacity across teams to lead grantmaking.

ORGANIZATION

The company is a venture philanthropy that builds a better education system by connecting people, resources, and ideas. We bridge the gap between those with capital and those with the courage to put that capital to work on the frontlines of K-12 education. We envision an education system that keeps its promise to all students. That’s why we invest in the ideas and energy of education leaders and entrepreneurs who are advancing innovative solutions that expand the definition of what works. There’s a better way to advance education through philanthropy—one that is more equitable, more collaborative, and more courageous–and we’re proving it every day.

RESPONSIBILITIES

We seek to hire a Data Analyst to own data stewardship, quality and analytics within the Operations function and assigned to a designated investment team. Reporting to Jessica Henry, Senior Director of Operations, with a dotted line to your assigned investment team (a program team responsible for identifying, funding and supporting education ventures). You will own execution within the data framework and standards designed centrally, while serving as the analytics partner your investment team turns to for reliable data and strategic insight. The company is a fully remote organization, and you may live anywhere in the United States. This role requires up to 10% travel for in-person team meetings, retreats, and conferences.

In this role, you will

Own the data and metrics that demonstrate impact for a designated investment team (30%)

• In partnership with the Data Manager, investment team leads, and the Research & Learning team, translate learning agendas into documented metric definitions, data structures, and processes and translate these into clear stakeholder communications

• In partnership with the Data Manager, develop and maintain processes that ensure the investment team collects cohesive quantitative and qualitative data specific to key metrics of success — logic model, learning agenda, and funder-facing impact

• Partner with the Research & Learning team to elevate metrics that support the broader research strategy

• Identify where business questions can't be answered with existing data or tools; develop well-reasoned recommendations for warehouse additions, public data infrastructure, self-service tool improvements, and research agenda priorities

• Maintain active working knowledge of the company' full data stack — warehouse, BI tools, and public data infrastructure — to credibly advise the investment team(s) and inform infrastructure decisions

Ensure the data feeding into our systems is accurate, complete, and trustworthy from the point of intake (30%)

• Project manage annual data collection cycles; partner with the Data Manager and investment team leads on clean rostering, survey development, and administration

• Manage all data intake for the designated investment team(s) — applications, diligence, grantee surveys, internally generated data — including validation processes that catch errors at the source

• Partner with the data engineer and fellow analysts to validate and clean incoming data and execute automated quality control checkpoints

• Review and update databases within the designated investment team's scope, ensuring accuracy and integrity across all data sources

• Apply and reinforce best practices for capturing data updates regularly and accurately within the investment team

• Spot and report data anomalies from the stakeholder lens — quality issues automated back-end processing may miss — investigate root cause, report to relevant teammates, and manage stakeholder communications when a resolution isn't immediately possible

Turn data into the insights and recommendations that shape investment decisions (30%)

• Own the analytics relationship for your designated investment team(s), developing deep knowledge of its goals, workflows, and data needs to serve as a trusted, actively sought-out resource

• Lead ad hoc analyses to support data-driven decision-making and synthesize findings into written investment recommendations

• Own and respond to data reporting and analysis requests supporting grant and funder reporting

• Manage and execute ad hoc analysis and rapid prototyping using SQL, BI tools, and AI-assisted analytics to answer business questions

• Collaborate with Research & Learning and investment teams on custom queries and datasets supporting the learning agenda, team strategy, Board requests, and funder reporting and prospecting

• Develop planning tools, analysis frameworks, and visualizations that drive insight generation and identify portfolio bright spots, accounting for historical, contextual, and comparative data and perspectives

Help colleagues across the company find, trust, and use data themselves (10%)

• Serve as the go-to resource for data questions across the organization, helping non-technical colleagues navigate systems and dashboards

• Support implementation and adoption of self-service analytics tools across the assigned investment team(s), including onboarding, coaching, and ongoing support

• Support ad hoc data needs across the organization

QUALIFICATIONS

• Minimum 2 years of experience in roles working with complex data sets and owning end-to-end data processes (collection, auditing, analysis, meaning-making)

• Proficiency in SQL and experience with cloud data warehouse platforms (BigQuery preferred)

• Experience with BI/analytics tools (Omni Analytics preferred) and building self-service artifacts and reporting for non-technical users

• Experience with data validation, quality control processes, and data cleaning

• Project management experience, particularly running recurring data collection cycles that involve coordinating multiple internal and external stakeholders

• Comfort using AI-assisted analytics tools for ad hoc analysis and rapid prototyping

• Knowledge of the K-12 education sector with experience working with teacher, leader, and edtech data -or- Knowledge of the K-12 education sector with experience working with charter and district school and student data strongly preferred

• Travel up to 10% for in-person team meetings, retreats and conferences

EXPERIENCE YOU BRING

• Building and maintaining knowledge management structures that make portfolio data and findings reusable across teams

• Supporting progress monitoring and research partnerships, including what gets collected and how data quality is protected

• Translating analysis into clear insights and recommendations for various stakeholders and audiences

• Implementing continuous improvement initiatives that increase efficiency

• Planning, prioritizing and managing multiple workstreams

YOUR WAYS OF WORKING

• Ground decisions, priorities, and actions in the company’ mission and commitment to equity

• Communicate clearly and proactively, share information before being asked, and raise questions and concerns directly

• Adapt how you communicate to the audience, make a clear case for your recommendations, and give and receive feedback directly

• Collaborate across teams, build relationships, and share ideas and insights

• Set clear priorities, manage competing demands, and keep systems that make prioritization possible

• Proactively name when an approach isn’t working and propose what to do instead, including reworking or stopping your own workstreams

• Operate comfortably with imperfect or incomplete data, using sound judgment to deliver useful analysis despite gaps or inconsistencies

• Apply sound judgment about when to make independent decisions and when to involve someone else

• Maintain an active view of the field and market through regular scanning of research, data and public sources, and use it to surface patterns and gaps the team should examine

COMPENSATION

A competitive compensation package including base salary, performance bonus, and employer-funded benefits is available. The starting salary range is $83,000 to $104,000 with the potential for an annual bonus of up to 5%. Final salary will be determined based on experience level and qualifications.

Applications submitted by November 6th will receive priority review. We encourage interested candidates to apply early, as the position may close once we’ve received a strong pool of applicants.

The company Venture Fund has a strong commitment to diversity. Candidates of all backgrounds are encouraged to apply.

Please note, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.