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IDEA Public Schools seeks a Data Analyst to provide robust data analysis and reporting to support decision-making. This full-time remote position is pivotal for improving organizational functions through timely and clear data insights. The ideal candidate will possess strong analytical skills and a collaborative mindset to manage data effectively across teams.
Data Analyst
Mission:
Data Analysts providedata reporting and analysis, visualization, and dashboarding that typically supports one primary functional area at IDEA. The Data Analyst ensures that analytics used to inform decision-makers is rigorous, timely, clear, and reproducible. Data Analysts work cross-functionally: they are formally on the Research and Analytics (R&A) team, which is responsible for their technical and professional development, and are connected to a functional team that partners on prioritizing and supporting management of their day-to-day work including recurring analyses, ad-hoc requests, and longer research projects.
Location:
This is a full-time remote position based in Texas, with preference given to candidates who live in Austin, El Paso, Houston, Permian Basin (Midland/Odessa), Rio Grande Valley, San Antonio, and Tarrant County (Fort Worth), or who are willing to relocate.
Travel Expectations:
This role is generally remote, but travel to IDEA training events or step-backs maybe required.
What You’ll Do – Accountabilities
Essential Duties:
·Create clear analysis (e.g., descriptive, predictive, and causal) that highlights trends, relationships, and opportunities for improvement throughout the organization.
·Partner with Information Systems and Software Development to verify that data sources available for analyses and reporting are populated withaccurateandtimelydata.
·Ensure that repeated analyses and reports (e.g., compensation reports) are designed in a reproducible, replicable manner which reducessubsequentre-analysis burdens.
·Providerapid turnaround for ad-hoc data analysis requests from stakeholders.
·Gather requirements and use cases from key stakeholders for each report/analysis/data request.
·Utilize project management best practices to set expectations with business partners and deliver against them.
·Use both data visualization and reporting best practices to share findings with partners and stakeholders.
Additional Duties and Responsibilities:
·Utilize checkpoints during product and design tosolicitadjusting feedback.
·Ensure that R&A products are easy to find and access.
·Create reports thatprovideclear, actionable, and time-sensitive recommendations.
·100% of data sources used by R&A are documented, including how to access initial data sources, ETL process, and key transformations and metric calculations.
·100% of statistical methods used and modeling choices are documented, including why the method was selected.
·For ongoing products and reports (e.g., analytical summaries), the analysis lifecycle for ETL to final report is documented, in version control, and reproducible.
Knowledge and Skills – Competencies
Additional Skills:
Data analysis and statistics:
·Analytical and problem-solving skills
·Experience with basic statistical analysis.
·Identify or collect data that is relevant to the problem/task/project
·Construct rapid, ad-hoc analyses to support district, regional, and school leadership
·Introductory knowledge of predictive analytics and modeling/times series forecasting, causal inference, experimental research design and analysis, independent research, frequentist and Bayesian methods, natural language processing/large language models, demography/GIS
Computational skills:
·Experience with BI and dashboarding tools like PowerBI, Tableau
·Experience with programming or scripting languages
·Experience handling large data sets and querying relational databases
·Support district compliance efforts by exporting and analyzing data from our data warehouse as well as other data systems
·Work reproducibly (using literate programming practices like Rmarkdown/Quarto/Jupyter Notebooks as well as version control (via Git/GitHub) so colleagues can support and extend your work
·Basic familiarity with computational languages such as R, Python, Julia, STATA, SQL, Matlab.
·Basic familiarity with data visualization tools like ggplot2, Shiny, matplotlib, D3.js/Observable.js, PowerBI, Tableau
·Version control systems like git (preferred) or Subversion
·Familiarity with survey platforms like Microsoft Forms
Domain knowledge:
·Perform analyses of education-related data (e.g., data on student performance, school operations, alumni outcomes, family sentiments, staff opinions, and staffing outcomes).
Communication:
·Create clear reports for non-technical audiences, including insightful statistical visualizations that help non-statisticians make valid inferences
·Share learnings with internal and external stakeholders
·Strong verbal and written communication skills including creating, developing, and delivering presentations
·Ability to work collaboratively in a group environment as well as independently
·Reporting and data visualization skills
·Clear and concise interpretation of analytical reports
·Draw and contextualize conclusions derived from analysis
Professional skills and ethics:
·Excellent customer service skills, both written and oral, and maintain confidentiality in all matters
·Ability to work in high-pressure situations
·Ability to work with stakeholders to assess potential risks
·Ability to set and meet deadlines
·Ability to backwards plan a project given a goal
·Ability to make sense of solve complex problems.
·Excellent attention to detail
Required experience:
·Education: Bachelor's Degree required
Preferred experience:
·Experience: 2+ years of professional work experience in a data analysis and management role
Please note: We are unable to sponsor work visas at this time.
Physical Requirements:
None
***Please provide cover letter with application***