The Learning Accelerator (TLA) envisions a future in which all students receive an effective, equitable, and engaging education that is personalized, informed by data, mastery-based, and supported by technology, enabling them to reach their full potential. Our mission is to connect practitioners and leaders with the knowledge, tools, and networks they need to transform K-12 education.
TLA is looking for a new member to join our dynamic and mission-focused organization part-time (20 hours per week) as a Data Analyst. In this role, you will report to one of TLA’s Partners and work with them and the project team - which includes two external partner organizations, Yet Analytics (YA) and a school district - to ensure effective project progress.
Additional details on the project and position are provided below.
Building and implementing effective professional learning and training systems is a critical step in ensuring teachers attain the knowledge and skills necessary for supporting student progress and success in school. TLA is launching an 18-month partnership with a leading performance-based school system to support the district’s use of evidence across its adult-facing initiatives to inform continuous improvement and the scaling of highly innovative competency-based learning strategies and programs across the organization.
This project, launching in January 2019, will bring together district leaders, technology specialists (including members from the district’s home-grown Learning Management System team as well Yet Analytics, a human capital analytics technology organization) to ‘connect the dots’ between educator and student learning. It will help the district develop measurement and data strategy and systems that will enable them to understand their current successes, prioritize, and execute on promising initiatives, thereby supporting the implementation of effective instructional strategies and improving student success. It will further make knowledge of these strategies-- measurement, professional learning, and instructional-- more widely available to the broader field.
The Data Analyst will gain experience in conducting developmental and/or formative evaluations, or more generally, education research for program improvement. In addition, this position will provide exposure to innovative practices across multiple public, nonprofit, and for-profit entities working in the personalized, competency-based, and blended learning ecosystem.
TLA is a national, fully distributed, remote-first organization. The Data Analyst can work from a location of their choosing. Occasional project travel to team events will be required. TLA will also provide development to support growth on value-aligned competencies our organization is building team-wide. “TLAers” benefit from working remotely, including collaboration across multiple teams nationally.
The Skill Set
Experience through all phases (startup/design, data collection, interpretation of findings, final report) of at least one project in conducting quantitative inferential or statistical analyses like effect sizes, multilevel modeling (e.g., hierarchical linear models, structural equation models), path or trend analyses, or other similar analyses.
Demonstrated effective verbal and written communication of research and/or evidence to audiences with varying levels of experience and expertise.
Experience in building and leading complex and multifaceted education data systems and databases.
These skills would be preferred, but are not required:
Competence in any of the following: short-cycle research, data analytics, data visualization, Bayesian analysis, research translation, and/or working with student- and adult-learning district data, e.g., Student Information System (SIS) data, Learning Management System (LMS) data, educational technology usage data.
Experience in and/or enthusiasm for using school system data to improve teaching and learning.
Within 1 month, you’ll…
Meet and begin attending regular virtual and infrequent in-person meetings with our partners.
Provide thought partnership and input into project evaluation and research design (including data collection, management, and analysis plans).
Suggest other data and research activities based on project need and your interest.
Within 3 months, you’ll…
Manage, organize, clean, maintain, and collect (when necessary) adult and student learning data for initial data analyses.
Conduct initial, likely descriptive, data analyses.
Help interpret and communicate findings, recommendations, and actionable insights from these analyses.
Support work meetings and presentations of progress and findings, both verbally and in writing, to our district colleagues (first report due April 2019).
Provide input regarding the research needs and wants in the data system being built by Yet Analytics.
Identify which, if any, other data and research activities to undertake based on project need and your interest.
Become more integrated into TLA’s Research and Development team, specifically.
Within 6 months, you’ll…
Continue to collect, clean and maintain data if necessary.
Conduct preliminary quantitative statistical analyses (e.g., multiple effect size calculations from a single dataset, and multilevel analyses such as hierarchical linear models [HLM], structural equation models [SEM], path analyses, and/or others) to help figure out which instructional strategies are tied to desired changes in educator behaviors.
Continue to provide recommendations to Yet Analytics as the data systems are developed and implemented.
Continue to help interpret and communicate findings, recommendations, and actionable insights from these analyses.
Continue to support work meetings and presentations to our district colleagues.
Begin any other data and research activities based on project need and your interest.
Become more integrated into the TLA team.
Within 12 months, you’ll…
Conduct quantitative statistical analyses to recommend which instructional strategies the district should sustain and/or scale, and which the district should change.
Continue analysis interpretation and communication.
Continue to support work meetings and presentations (subsequent funder report due October 2019).
Help revise project evaluation and research design (including data collection, management, and analysis plans) for the upcoming year.
Continue other data and research activities.
Continue to thrive as a team member at TLA.
This is a part-time (20 hours per week), project-funded, salaried position with the opportunity of working in a flexible, culture-focused professional environment. Assuming success in the role, the position could grow to full-time and/or be extended beyond the initial funding period. Compensation will be commensurate with experience.
Please apply by December 31, 2018, through this website. In your cover letter, please explain why you are a good fit for this role. The hiring team will be reviewing applications on a rolling basis. The position start date is ASAP.
Equal Opportunity Employer
TLA is an equal opportunity employer; we consider applicants for all roles without regard to race, color, religious creed, sex, national origin, citizenship status (provided you are legally able to work in the US), age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.