Data Strategist (All Raise)

About All Raise:

All Raise is a newly formed non-profit startup dedicated to improving diversity in funders and founders within the technology ecosystem. We believe people of all different backgrounds should have the opportunity to participate, shape, and succeed in the founding, funding, and building of technology-driven companies and we are working to accelerate their success. We believe that by improving the success of women in the venture-backed tech ecosystem, we can build a more accessible community that reflects the diversity of the world around us. 

Job Description: 

We are looking for a sharp, thoughtful analytical problem solver and leader to drive data-driven initiatives and build the analytical framework to support and advance All Raise’s goals. All Raise’s Data Strategist must love data, mission-driven opportunities and solving challenging problems in a fast paced environment. The Data Strategist should also have extremely strong analytical, leadership, communication and organizational skills with a strong attention to detail and a sophisticated understanding of what data means and how we can use it to make change and take actionable insights.

Responsibilities:

• Manage and drive data collection, analysis efforts and research on the venture and tech industry.
• Partner with team captains and various cross-functional stakeholders to identify and define the questions to answer and the hypotheses to test.
• Synthesize quantitative and qualitative data from internal and external sources.
• Be able to present information in a clear, compelling and concise way.
• Generate meaningful insights and bring sound, thoughtful recommendations to the leadership team.
• Create and manage business/operational dashboards to monitor performance goals and metrics.
• Build data partnerships with other organizations as well as 3rd party vendors.
• Identify, conceptualize and lead a range of insights, predictive modeling and data science projects.
• Extract, create, and organize data files used for analytical and modeling purposes.

Qualifications:

• Bachelor’s degree in a quantitative field with coursework in statistics (e.g. Math, Physical Sciences, Engineering).
• 4+ years of successful experience in analytics, data science and/or business intelligence with increasing responsibility.
• Analytical experience in consulting, banking, venture capital or tech industry is preferred.
• Successful experience in basic statistics and a strong understanding of experimentation, hypothesis testing, and causal inference.
• Track record of success and comfort with data analysis, wrangling, and curation.
• Experience in reporting, analytics and databases and some combination of SQL and R or Python.
• Proven ability to synthesize and tell the story behind the data.
• Familiar with statistical modeling, such as regression analysis, forecasting etc.
• Ideally some experience with data visualization tools (eg. Tableau) and/or survey design.
• Demonstrated strong business acumen and excellent written, oral and analytical communication skills.
• Proven success with translating a business problem into a data solution design of varying complexities.
• Ability to balance long-term strategic priorities with short-term tactical needs.
• Thrilled with challenges, unknowns and opportunity to define and build things