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Senior Data Analyst

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Fast Facts

The Senior Data Analyst will support the Education Analytics team at Strada Education Foundation, focusing on developing data-driven tools for analyzing education-to-employment pathways for state clients.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Responsibilities: The primary responsibilities include integrating and analyzing education and workforce data, developing statistical models, and creating reports and visualizations to inform policy decisions.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Skills: Proficiency in SQL, Python, R, and experience with cloud-based data warehouses and data visualization tools such as Tableau or Power BI are essential.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Qualifications: Candidates should have a bachelor's degree in a relevant field, 3-5 years of experience with complex datasets, and effective communication skills, with a master's degree preferred.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Location: The position is based in Indianapolis, Indiana, with potential travel for conferences and meetings up to 15%.

liETtVLaARqgmMEbYzHNNLIzUPcdfPrwhYtVK7Qa.png Compensation: $109750 - $121500 / Annually



The Senior Research and Data Analyst will support the Education Analytics and Technical Services team in developing a portfolio of data-driven advisory services and toolkits to help state clients leverage their data to analyze graduate-to-employment pathways. This work will support the establishment and operation of formal Education Economics offices, focusing on supply-demand analytics for occupations and skills, employment outcomes, and workforce trends. The role emphasizes applying data analysis to generate actionable insights and related products that enhance workforce competitiveness and strengthen pathways to opportunity for individuals. Key audiences include employers, policymakers, and state agency leaders including labor market information, research, and higher education data system leaders.

Context

Strada Education Foundation supports programs, policies, and organizations that strengthen connections between education and employment in the U.S., with a special focus on helping those who have faced the greatest challenges securing economic opportunity through postsecondary education and training. Strada’s strategic plan defines five focal areas by which to improve pathways to opportunity through post-high school education: clear outcomes, quality coaching, affordability, work-based learning, and employer alignment. Strada leverages research, strategic philanthropy, investments, communications, advocacy, and collaborating organizations in the pursuit of this mission. 

Key responsibilities: this Senior Data Analyst role involves integrating and analyzing education and workforce data to generate insights specific to the technical assistance function offered to Strada state clients that will inform evidence-based policy and decision-making. The analyst will work through a team approach with diverse datasets, conduct advanced research, and develop data-driven products and tools to support state stakeholders and decision-makers.

Data Management (30%)

  • Identify, integrate, and manage diverse workforce and education datasets from state, federal, third-party and proprietary sources.
  • Develop and maintain efficient data processing pipelines for ELT/ETL cleaning, transforming, and harmonizing complex datasets from diverse sources.
  • Work within a cloud-based data warehouse environment for analysis and generating custom reporting.
  • Implement best practices implementing data quality checks and data governance practices to ensure data accuracy and consistency within the cloud data warehouse.

Data Analysis (40%)

  • Conduct analyses of labor market trends, workforce supply and demand, migration patterns, and higher education and skills alignment.
  • Develop and apply statistical models to explore regional workforce dynamics and occupational demand projections.
  • Use SQL, Python, R, or similar tools for data wrangling, modeling, and analysis.

Data Reporting and Visualization (20%)

  • Translate research findings into policy-relevant insights targeted to key stakeholders in postsecondary education and training. 
  • Develop reports, dashboards, and presentations to communicate key insights to stakeholders.
  • Create interactive visualizations using Tableau, Power BI, or similar platforms.
  • Collaborate with partners to refine data products that inform workforce and education policy decisions.

Team Leadership & DEI Commitment (10%)

  • Provide guidance and mentorship to Strada research colleagues on data relating to education and workforce alignment and measuring diversity and representation of populations in workforce data and analysis. . 
  • Partner with Human Resources and DEI leadership to promote equitable workplace practices and diverse perspectives.
  • Foster a collaborative, inclusive environment that encourages innovation and cross-functional teamwork.
  • Model transparency, respect, and inclusion in all professional interactions.

The Person: Qualifications and Experience

  • Education: a bachelor’s degree in data analytics, education or social science research, mathematics, business, or a related field or equivalent work experience; master’s degree preferred.
  • 3-5 years minimum experience conducting analysis on complex datasets.
  • Familiarity with R Studio, Python, SQL, SAS/STAT, Stata or other data & statistical analysis
  • Experience leveraging cloud-based data warehouse environments such as Snowflake, Redshift, Databricks, or similar platforms for data analysis, transformation, and reporting.
  • Experience with visualization tools such as Tableau, Power BI or other business intelligence platforms.
  • Familiarity with educational, government labor and state workforce data.
  • Knowledge of subscribed workforce and economic data services and products such as Lightcast, Chmura, Moody’s or similar platforms, including experience integrating their API connections for ongoing data extraction and analysis.
  • Familiarity with quantitative and qualitative research methods.
  • Excellent strategic analysis and problem-solving skills.
  • Excellent communication (verbal and written) and interpersonal skills.
  • Experience using project management methodologies for analysis projects.
  • Ability to multi-task and work under time pressure.

Additional Desired Experience

  • Experience working with state-level or other large-scale workforce, education, and economic datasets.
  • Experience working in fields such as education and or economic research, business. intelligence, social science research or policy analysis.
  • Familiarity with accessibility standards and best practices in visual design.

$109,750 - $121,500 a year

plus annual bonus.

The pay range listed is based on national compensation benchmark data and may vary depending on skills, experience, job-related knowledge, variations in cost of labor, and in some cases, geographic location. The exact job offer will be determined based on several factors such as the candidate’s individual skills, qualifications and experience relative to the requirements of the role. The range displayed with the job posting represents the minimum and maximum target for new hire salaries for the position across the U.S. The company also reviews and considers internal equity (current employee salary) when hiring new employees to the organization. The range is the expected starting base salary for someone hired into this position with room to grow professionally, including increased earning potential beyond the starting pay range. Beyond a new hire’s base salary, Strada also offers all full-time employees a comprehensive employee benefit package.

Travel Requirements:

It is likely the role will naturally entail some travel for conferences and other meetings up to 15%.

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CEO of Strada Education Foundation
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Stephen Moret
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Average salary estimate

$115625 / YEARLY (est.)
min
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$109750K
$121500K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Analyst, Strada Education Foundation

Are you passionate about data and its power to shape the future of education? Strada Education Foundation is on the lookout for a Senior Data Analyst to join our dynamic Education Analytics team in a hybrid capacity based in Indianapolis, Indiana! In this exciting role, you will support the development of innovative data-driven tools that analyze education-to-employment pathways for various state clients. Picture yourself diving into complex education and workforce datasets, developing statistical models, and creating insightful reports and visualizations that aid policymakers in making informed decisions. We're all about collaboration and want someone who can thrive in a team environment, leveraging their proficiency in SQL, Python, R, and data visualization tools like Tableau or Power BI. If you hold a bachelor’s degree and have 3-5 years of relevant experience, this role could be a perfect match for you. Plus, if you have a master's degree, that's even better! Join us to drive impactful insights that enhance workforce competitiveness and create better opportunities for individuals. With a competitive salary between $109,750 and $121,500, and comprehensive benefits, Strada is committed to fostering a diverse and inclusive workplace where your ideas can come to life.

Frequently Asked Questions (FAQs) for Senior Data Analyst Role at Strada Education Foundation
What are the main responsibilities of the Senior Data Analyst at Strada Education Foundation?

As a Senior Data Analyst at Strada Education Foundation, your core responsibilities will include integrating, analyzing, and reporting on education and workforce data. You'll develop statistical models and create insightful visualizations to inform state clients about education-to-employment pathways. The role also focuses on collaborating with partners, maintaining data quality, and communicating findings effectively to key stakeholders.

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What qualifications are required for the Senior Data Analyst position at Strada Education Foundation?

To qualify for the Senior Data Analyst position at Strada Education Foundation, you should have a bachelor's degree in a relevant field, with a master's degree preferred. Candidates need 3-5 years of experience working with complex datasets, along with demonstrated proficiency in SQL, Python, R, and data visualization tools like Tableau or Power BI.

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How does the Senior Data Analyst at Strada Education Foundation contribute to education and employment?

In the Senior Data Analyst role at Strada Education Foundation, you will generate actionable insights from data analysis that can influence policy decisions regarding education and employment pathways. By conducting in-depth analysis of labor market trends and workforce dynamics, you'll provide vital information that supports the establishment of Education Economics offices and enhances workforce competitiveness.

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What tools and technologies will the Senior Data Analyst at Strada Education Foundation use?

The Senior Data Analyst at Strada Education Foundation will primarily use SQL, Python, R, and data visualization software such as Tableau and Power BI. Experience with cloud-based data warehouses like Snowflake or Redshift is also integral, as you'll be working in these environments to manage and analyze complex datasets effectively.

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What is the work environment like for the Senior Data Analyst at Strada Education Foundation?

The Senior Data Analyst at Strada Education Foundation will work in a hybrid environment from Indianapolis, Indiana, with some travel required for conferences and meetings. You can expect a collaborative and inclusive culture focused on improving education outcomes, where you’ll have the opportunity to mentor colleagues and advocate for diversity, equity, and inclusion in all your projects.

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Common Interview Questions for Senior Data Analyst
Can you describe your experience with data analysis tools in relation to the Senior Data Analyst role?

When answering this question, focus on specific tools you've used, such as SQL, Python, or Tableau, and discuss specific projects where these tools played a key role in your analysis. Highlight your proficiency and any unique insights generated from your analyses that influenced outcomes.

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How do you approach data quality checks in your analysis?

Discuss specific best practices for ensuring data accuracy, such as implementing governance practices and conducting regular audits. Provide examples of how you’ve detected and corrected data inconsistencies in previous roles, showcasing your attention to detail and commitment to data integrity.

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What statistical models are you familiar with, and how have you applied them in your work?

Share specific statistical models you’ve utilized, such as regression or time series analysis. Discuss how you've used these models to derive actionable insights and the impact they had on your organization or the clients you served.

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Describe a time when you presented complex data to non-technical stakeholders.

Provide an example of a presentation where you successfully translated complex analytical findings into easily digestible conclusions for a lay audience. Focus on the visualization techniques you employed and how they helped achieve understanding and buy-in from stakeholders.

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How do you stay updated with trends in education and workforce data?

Mention specific sources you follow, such as journals, websites, or conferences relevant to education analytics and workforce development. Emphasize your commitment to continuous learning and how it enhances your effectiveness in your role as a Senior Data Analyst.

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What strategies do you use for integrating diverse datasets?

Explain the methodologies you employ for ETL processes (Extract, Transform, Load). Discuss any tools or databases you’ve worked with and the importance of harmonizing diverse datasets to ensure analytical accuracy.

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How do you prioritize your tasks when handling multiple projects as a Senior Data Analyst?

Outline your time management strategies, such as using project management tools or techniques like Agile methodology. Use past examples where prioritizing tasks led to timely project completion and meeting or exceeding expectations.

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Can you elaborate on your experience with cloud-based data warehouses?

Highlight your familiarity with platforms like Snowflake or Redshift, discussing how you’ve used them to manage and analyze data. Provide examples that illustrate the advantages of using cloud solutions in your previous work.

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Explain how you ensure stakeholder needs are met in your analysis.

Discuss your approach to understanding stakeholder requirements through meetings, surveys, or interviews. Share an example where tailoring your analysis to meet specific stakeholder needs made a measurable difference in the outcome of a project.

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What role does collaboration play in your work as a Senior Data Analyst?

Emphasize the importance of teamwork in data analysis, whether it’s collaborating with other analysts, IT staff, or stakeholders. Share examples where collaboration led to enhanced insights or improved data quality.

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DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 1, 2025

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