SUMMARY:

The Advanced Data Analyst at National Heritage Academies (NHA) performs rigorous analyses of quantitative and qualitative data. As part of the Information & Analytics team, they will have access to a robust data warehouse, leading analytical tools, and experienced colleagues. The individual selected for this role will perform organizational analytics projects in support of the NHA mission. Projects will include descriptive, diagnostic, predictive, and prescriptive analyses. The Advanced Data Analyst reports to the Manager of Analytics and is a member of the Information and Analytics (I&A) department. The I&A department consists of 20+ employees committed to transforming NHA’s performance through data intelligence. Within the team are business intelligence developers, accountability analysts, and advanced data analysts. This position requires on site work in Grand Rapids, MI.

COMPANY INFORMATION:

National Heritage Academies (NHA) partners with communities to build and operate public charter schools. Founded in 1995, today NHA has over 100 schools in nine states, serving more than 60,000 students in kindergarten through 12th grade. Our schools are designed to eliminate the achievement gap and provide school choice to families so their children are prepared for success in college, career, and life. In fact, a majority of our schools consistently outperform their local district on the state test. According to the Center for Research Outcomes at Stanford University, NHA is a leading performer among charter schools and management organizations, outperforming both conventional district schools and other charter school operators. In addition, according to our employee survey, over 90% of respondents agree that the work they do is meaningful to them. Join us. Together we impact a life.

DUTIES AND RESPONSIBILITIES:

• Work closely with internal departments to diagnose data needs, frame problems, and operationalize insights

• Independently manage analytical projects through each stage of the process (question formulation, design, analysis, quality checks, communication of results)

• Identify and apply the appropriate analytical strategy to the task at hand (descriptive, diagnostic, predictive, prescriptive)

• Build data sets from various data sources and optimize for analysis through feature engineering

• Develop and deploy custom data models/algorithms and monitor performance

• Create data visualizations and reports as needed

• Fulfill ad-hoc data requests and analyses

• Effectively communicate results to stakeholders. Explain and present technical ideas and concepts to non-technical audiences with confidence and clarity, identify the story in the data, and provide a narrative around key ideas

• Support the analytics team members through collaboration and collective problem solving
  

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in data science, statistics, mathematics, or other analytical field. Master’s degree preferred.

• Strong judgement, analytical, and problem-solving skills

• Possess a curious mindset and entrepreneurial spirit

• Excellent communication and presentation skills, both written and verbal, including confidence and presence to engage effectively with organizational leaders

• Strong interpersonal skills to build a network of internal relationships with a broad cross-section of the organization and leverage organizational knowledge, resources, and expertise

• Experience in various statistical analyses and treatments (especially explanatory and predictive modeling through various types of regression analysis)

• Experience with analytical tools (SQL, SAS, R, Python, etc.)

• Experience with data visualization tools (e.g., Tableau, Power BI)

• Able to coordinate multiple tasks, set priorities, and deliver on specified time frames

• Self-motivated with the ability to work effectively as a member of a team or independently

• Approachable and willing to shift priorities in order to meet organizational needs

• Strong working knowledge of Microsoft Word, Excel, and PowerPoint

PREFERRED QUALIFICATIONS:

• 2+ years of relevant work experience

• Proficient in SQL programming

• Professional experience with causal modeling and quasi-experimental techniques (propensity score matching, regression discontinuity, difference in differences, etc.)

• Professional experience with supervised and unsupervised machine learning techniques for classification, regression, and clustering

• Experience with text mining / natural language processing (NLP)

• Expertise in survey design and analysis

National Heritage Academies is an equal opportunity employer.