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A leading educational organization seeks a Data Analyst to provide data reporting, analysis, and visualization that supports decision-making across teams. This role is crucial for ensuring that analytics are rigorous and actionable, impacting organizational outcomes positively.
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Data Analyst
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Mission:
Data Analysts provide data 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 Analyst s 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.
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Travel Expectations:u00A0u00A0u00A0u00A0
This role is generally remote, but travel to IDEA training events or step-backs maybe required.
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What Youu2019ll Do u2013 Accountabilities
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Essential Duties:
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Create clear analysis (e.g., descriptive, predictive, and causal) that highlights trends, relationships, and opportunities for improvement throughout the organization. u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Partner with Information Systems and Software Development to verify that data sources available for analyses and reporting are populated with u00A0 accurate u00A0 and u00A0 timely u00A0 data. u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Ensure that repeated analyses and reports (e.g., compensation reports) are designed in a reproducible, replicable manner which reduces u00A0 subsequent u00A0 re-analysis burdens. u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Provide u00A0 rapid turnaround for ad-hoc data analysis requests from stakeholders. u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Gather requirements and use cases from key stakeholders for each report/analysis/data request. u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Utilize project management best practices to set expectations with business partners and deliver against them. u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Use both data visualization and reporting best practices to share findings with partners and stakeholders. u00A0
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Additional Duties and Responsibilities:
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Utilize checkpoints during product and design to u00A0 solicit u00A0 adjusting feedback. u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Ensure that R&A products are easy to find and access. u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Create reports that u00A0 provide u00A0 clear, actionable, and time-sensitive recommendations. u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 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. u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 100% of statistical methods used and modeling choices are documented, including why the method was selected. u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 For ongoing products and reports (e.g., analytical summaries), the analysis lifecycle for ETL to final report is documented, in version control, and reproducible. u00A0
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Knowledge and Skills u2013 Competencies
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Additional Skills:
Data analysis and statistics:
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Analytical and problem-solving skills
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Experience with basic statistical analysis.
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Identify or collect data that is relevant to the problem/task/project
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Construct rapid, ad-hoc analyses to support district, regional, and school leadership u00A0 u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 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
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Computational skills:
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Experience with BI and dashboarding tools like PowerBI , Tableau
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Experience with programming or scripting languages
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Experience handling large data sets and querying relational databases
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Support district compliance efforts by exporting and analyzing data from our data warehouse as well as other data systems u00A0 u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 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 u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Basic familiarity with computational languages such as R, Python, Julia, STATA, SQL, Matlab . u00A0 u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Basic familiarity with data visualization tools like ggplot2, Shiny, matplotlib, D3.js/Observable.js, PowerBI , Tableau u00A0 u00A0 u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Version control systems like git (preferred) or Subversion u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Familiarity with survey platforms like Microsoft Forms u00A0
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Domain knowledge:
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Perform analyses of education-related data (e.g., data on student performance, school operations, alumni outcomes, family sentiments, staff opinions, and staffing outcomes). u00A0 u00A0 u00A0
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Communication:
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Create clear reports for non-technical audiences, including insightful statistical visualizations that help non-statisticians make valid inferences u00A0 u00A0 u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Share learnings with internal and external stakeholders u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Strong verbal and written communication skills including creating, developing, and delivering presentations u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Ability to work collaboratively in a group environment as well as independently u00A0
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Reporting and data visualization skills
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Clear and concise interpretation of analytical reports
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Draw and contextualize conclusions derived from analysis
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Professional skills and ethics:
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Excellent customer service skills, both written and oral, and maintain confidentiality in all matters
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Ability to work in high-pressure situations
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Ability to work with stakeholders to assess potential risks
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Ability to set and meet deadlines
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Ability to backwards plan a project given a goal
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Ability to make sense of solve complex problems.
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Excellent attention to detail
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Required experience:
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Education: Bachelor's Degree required
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Preferred experience:
u00B7 u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0 Experience: 2+ years of professional work experience in a data analysis and management role
u00A0 u00A0 u00A0 u00A0 u00A0 u00A0 u00A0 u00A0 u00A0 u00A0 u00A0 Please note: We are unable to sponsor work visas at this time.
Physical Requirements:
None
u00A0***Please provide cover letter with application***
What We Offer:u00A0
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