Job Opening: Data Analyst

Position Overview

Highlander Institute is seeking a Data Analyst to join our Impact Team. If you are passionate about empowering students, collaborating with schools and their partners, and helping to highlight the stories and experiences of students who have been marginalized by systemic inequity, then we want you on our team!

Who We Are

A non-profit organization based in Providence, RI, Highlander Institute is committed to creating more equitable, relevant, and effective schools. We believe that school partners in this effort benefit from a clear theory of change around both the implementation of instructional equity and the strategies necessary to scale aligned work across a school or district.

Liberatory Data Framework

Historically, data has been used as a weapon to further oppress our most marginalized communities. Data frequently maintains the systems that rob our communities of their success and prosperity. In the wrong hands, data can be misinterpreted to justify decisions that ultimately lead to more harm to our communities and the future of our students. While we know standardized tests and placement exams are problematic and uphold White supremacist ideals, we currently operate within an inequitable system that requires us to work with these measures even as we push on that system to look at academic success beyond solely test scores.

At Highlander Institute we are committed to reappropriating the power data has and use it to center the student experience as the ultimate measure of success and efficacy. Our Liberatory Data Framework centers on redefining student achievement growth and finding the right tools to help close our own knowledge gaps and further support our schools and communities as they co-construct their measurement plan for success.

Our instructional approach is rooted in our Culturally Responsive and Sustaining Pedagogy (CRSP) Framework. Grounded in research, neuroscience, and the rationale of Gloria Ladson-Billings, Geneva Gay, Zaretta Hammond, Django Paris, and Sami Alim, our model highlights the importance of relationships, community building, developing student ownership, and cultivating higher-order thinking skills. Our approach builds the capacity of teachers and students to disrupt inequitable systems and create more relevant and empowering learning environments.

On the change management side, Highlander Institute’s Pathway to Personalization Framework establishes a process for leaders to implement personalized change management practices with a focus on local context and the engagement of students and families.

Data Analyst Role Responsibilities

Analysts support Highlander Institute’s mission by assisting in determining the efficacy of program efforts and promoting data literacy for teachers, students, families, and education professionals in our partner schools. Responsibilities will include:

  • Conducting literature reviews
  • Data processing (i.e., data cleaning and de-identification, development of data sets)
  • Data collection through interviews, focus group facilitation, and classroom observations
  • Qualitative and Quantitative Data analysis and reporting
  • Conducting descriptive analyses, and occasionally more advanced statistical analysis (matched comparison analyses), and Social Network Analysis with support from the Impact team
  • Data Reporting and Dashboarding on Tableau
  • Data coaching

Ideal Candidates

Highly-qualified candidates will demonstrate:

  • Experience and expertise managing data sets (reshaping, merging, cleaning, and analysis), as well as experience with reporting software such as Tableau and the Qualtrics reporting module
  • Understanding of systems of oppression and how these systems are replicated in data stories, to work with other Institute staff to create data narratives that challenge these systems
  • Foundational knowledge of United States K-12 education systems and structures
    Basic skills and understanding of statistical concepts such as correlation, regression, and propensity score analysis
  • Ability to think critically about the analysis and reporting being conducted

Ideal Technical Skills:

  • Strong communication, documentation, and organizational skills
  • Knowledge of Excel, Tableau, Stata, Qualtrics or similar statistical software
  • Knowledge of qualitative analysis software (i.e., Dedoose)
  • Knowledge of various data tools for measurement, collection, and analysis

Non-Technical Skills and Behavior:

  • Performs duties professionally, thoroughly, in a timely manner, and with a respectful, friendly demeanor in both external and internal relationships
  • Conveys data analysis through multiple modalities and methods based on audience
  • Adaptive and flexible nature is a self-starter and comfortable leading projects while also thriving in a collaborative team approach
  • Embraces challenges with a growth mindset and remains calm and composed in a fast-paced environment with shifting priorities
  • Excellent time management and organizational skills, can manage multiple projects while meeting deadlines and remaining accountable to internal and external needs

Required Additional Skills:

  • Ability to organize information in a user-friendly manner
  • Demonstrated experience facilitating asset-based conversations around student experiences or instances where population demographics are correlated to gaps in student outcomes with various stakeholders including teachers, principals, district leaders, students, and parents
  • Ability to control and code for indicators that result in an analysis connected to teacher-level impact as well as student-level impact
  • Skilled at telling a data story that is compelling and unique

Required Qualifications

  • 2-3 years of relevant experience
  • Bachelor’s degree in Policy, Computer Science, Education, or related field; Master’s degree preferred

Additional Information

  • For more information on our organization, watch this video
  • We are open to candidates nationally, with a preference for candidates in the Rhode Island, Massachusetts, and New York City areas.
  • The Data Analyst position is a full-time, salaried position with full benefits (medical, dental, and vision) and a 403(b) plan with 5% contribution after 6 months of employment. Compensation is commensurate with experience. Starting salary range $60,000 – $65,000.
  • Currently Highlander Institute is working mostly remotely throughout the COVID-19 pandemic with occasional full-staff in person days. We are tracking the pandemic closely and monitoring for staff safety, making adjustments to in-person expectations as needed. When conditions allow, some travel will be required of the position including in-person school supports and travel to Rhode Island headquarters for occasional staff meetings.
  • Highlander Institute has a COVID-19 vaccine mandate for all employees to ensure the safety of our schools, partners, and employees. It is expected that all employees are fully vaccinated within 30 days of their hire date, unless they meet requirements for a medical or religious exemption. Pursuant to Highlander Institute policy, fully vaccinated means that you have received one Johnson & Johnson shot or 2 Pfizer or Moderna shots AND the requisite amount of time recommended by your health care provider has elapsed after receiving the J&J shot or the second Pfizer or Moderna shot.
  • Start date: January 2022 (some flexibility for the right candidates)

Non-Discrimination Policy

Highlander Institute provides equal employment opportunities (EEO) to all its employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, gender identity, domestic abuse victim, genetic information, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

How to Apply

If you would like to apply for the Data Analyst position, please send a resume and cover letter to the Director of Talent at hiring@highlanderinstitute.org. Applications that do not include a cover letter will not be considered.