Description

Data Analyst

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 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 with accurate and timely data.
Ensure that repeated analyses and reports (e.g., compensation reports) are designed in a reproducible, replicable manner which reduces subsequent re-analysis burdens.
Provide rapid 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 to solicit adjusting feedback.
Ensure that R&A products are easy to find and access.
Create reports that provide clear, 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

Make Strategic Decisions: This individual is able to gather relevant information, consider various options, and make choices that are in line with their current responsibilities and the team’s goals.
Manage Work and Teams: This individual focuses on managing their own work effectively. They develop skills in time management, task prioritization, and self-organization, ensuring that they meet their personal objectives and contribute effectively to their teams.
Grow Self and Others: This individual actively seeks feedback, embraces challenges as learning opportunities, and engages in professional development activities to enhance their own skills and performance.
Build a Culture of Trust: This individual offers empathy and active listening to build deeper one-on-one relationships in their direct work with others. They are capable of coaching others and emphasizing importance of psychological safety in their interactions.
Communicate Deliberately: This individual can express ideas clearly and listen actively. They have developing skills in empathetic listening and responsive speaking, with ability to tailor messages for individual direct reports or peers with the aim to build stronger, more effective relationships.

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

Physical Requirements:

None

What We Offer:

Compensation & Benefits:
Salaries for people entering this role typically fall between $74,700 and $87,100, commensurate with relevant experience and qualifications and in alignment with internal equity.This role is also eligible for performance pay based on organizational performance and goal attainment.

Additionally, we offer medical, dental, and vision plans, disability, life insurance, parenting benefits, flexible spending account options, generous vacation time, referral bonuses, professional development, and a 403(b) plan. You can find more information about our benefits at https://ideapublicschools.org/careers/benefits/.

IDEA may offer a relocation stipend to defray the cost of moving for this role, if applicable.

Application process:
Submit your application online through Jobvite. Please note that applications will be reviewed on an ongoing basis until the position is filled. Applicants are encouraged to apply as early as possible.

Learn more about IDEA
At IDEA the Staff Culture and Belonging Team uses our Core Values to promote human connection and a culture of integrity, respect, and belonging for all Team and Family members. Learn more about our Commitment to Core Values here: https://ideapublicschools.org/our-story/#core-values

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