About Harnham
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
New York, NY, US
Year founded
2006
$150/hr
Other
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Job description
Senior Data Analyst
Remote (US Based)
$150-170k base salary
A mission driven SaaS company supporting thousands of nonprofit organizations is expanding its data and analytics capability. The platform powers donor management, fundraising, and payments, helping nonprofits strengthen communities and drive real impact. As the business scales, data is becoming central to decision making across the organization.
The Role:
This Senior Data Analyst role offers true end to end ownership of analytics. You will work across data modeling, analytics engineering, reporting, and stakeholder enablement, with a clear focus on moving the business from reactive reporting to forward looking, insight driven analysis.
You will be embedded within the Finance organization and partner closely with leaders across Finance, Sales, GTM, RevOps, and Product. This is a senior individual contributor role with scope to grow into people leadership as the data function matures.
What you will do:
This role is ideal for a senior analyst who wants ownership, visibility, and the opportunity to shape how data is used across a growing SaaS organization with a strong social mission.
Remote (US Based)
$150-170k base salary
A mission driven SaaS company supporting thousands of nonprofit organizations is expanding its data and analytics capability. The platform powers donor management, fundraising, and payments, helping nonprofits strengthen communities and drive real impact. As the business scales, data is becoming central to decision making across the organization.
The Role:
This Senior Data Analyst role offers true end to end ownership of analytics. You will work across data modeling, analytics engineering, reporting, and stakeholder enablement, with a clear focus on moving the business from reactive reporting to forward looking, insight driven analysis.
You will be embedded within the Finance organization and partner closely with leaders across Finance, Sales, GTM, RevOps, and Product. This is a senior individual contributor role with scope to grow into people leadership as the data function matures.
What you will do:
- Own the analytics stack end to end, from data modeling in Snowflake to dashboards in Metabase
- Build and maintain high quality data models that support trusted reporting and analysis
- Lead the move away from legacy BI tools and establish a single source of truth
- Deliver self service dashboards for Finance, GTM, RevOps, and Product teams
- Partner with stakeholders to translate business questions into scalable analytics solutions
- Proactively surface insights that influence strategy and decision making
- Improve data quality, consistency, and usability across the analytics layer
- Help shape analytics standards, tooling, and best practices
- Support the evolution toward predictive and forward looking analytics
- Five to seven plus years of experience in analytics, data analysis, or analytics engineering
- Strong SQL skills with hands on Snowflake experience
- Experience building dashboards in Metabase
- Proven strength in data modeling and owning analytics foundations end to end
- Experience working cross functionally with Finance, Sales, GTM, RevOps, and Product
- Ability to operate independently and take full ownership of analytics domains
- Experience with dbt, experimentation, forecasting, or predictive analytics is a plus
- Interest in AI enabled analytics and modern data tooling
- Strong communication skills with non technical stakeholders
This role is ideal for a senior analyst who wants ownership, visibility, and the opportunity to shape how data is used across a growing SaaS organization with a strong social mission.
harnham.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Senior Data Analyst?
A: To succeed as a Senior Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical modeling techniques. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are essential for presenting insights to stakeholders, identifying business needs, and working with cross-functional teams. By combining these technical and soft skills, Senior Data Analysts can drive business growth, inform strategic decisions, and advance their careers through leadership opportunities or specialized roles in data science.
Q: What is the career path for a Senior Data Analyst?
A: A Senior Data Analyst's typical career progression involves starting as a Data Analyst, progressing to a Senior Data Analyst, and eventually moving into leadership roles such as Data Manager or Business Intelligence Manager. Key opportunities for skill development include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and developing expertise in statistical modeling and machine learning. Long-term career prospects for Senior Data Analysts may include transitioning into data science roles, becoming a Director of Analytics, or pursuing careers in related fields like business consulting or product management.