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Internship Monitoring Evaluation Learning Jobs in Indiana

Management Sciences for Health

Monitoring, Evaluation, Research & Learning * Global Health Security * Public Private Partnerships MSH is an equal opportunity employer. All qualified applicants will receive consideration for ...

Nix

Skilled Trade Internship

Poseyville, IN

$16 - $21/hr

Relate and apply knowledge acquired in the academic and technical learning setting to the company ... Submit an evaluation of the job performance at the end of the program to the student intern. Want ...

City of Virginia Beach

$13 - $17.50/hr

This is a SkillBridge Internship position. No salary or compensation will be provided by the City ... monitoring operations. * Assisting with incident response and documentation. * Learning ...

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All JobsMonitoring Evaluation Learning JobsInternship Monitoring Evaluation Learning JobsInternship Monitoring Evaluation Learning Jobs in Indiana

Internship Monitoring Evaluation Learning information

What are some common challenges faced during an internship in monitoring, evaluation, and learning, and how can they be addressed?

Interns in Monitoring, Evaluation, and Learning often face challenges such as interpreting complex data, balancing multiple projects, and adapting to various reporting frameworks. Navigating diverse stakeholder expectations and ensuring data accuracy can also be demanding. These challenges can be managed by seeking regular feedback from supervisors, collaborating closely with team members, and actively participating in training sessions or workshops. Building strong organizational and communication skills will help interns contribute effectively and grow within the field.

What are the key skills and qualifications needed to thrive as an internship monitoring evaluation learning professional?

To thrive in an Internship Monitoring Evaluation Learning (MEL) role, you need a solid grasp of data collection, analysis, and reporting, often supported by a background in social sciences, statistics, or international development. Familiarity with MEL frameworks, data management tools like Excel or KoboToolbox, and sometimes knowledge of statistical software such as SPSS or Stata is typically required. Attention to detail, critical thinking, strong communication, and adaptability help interns excel in supporting project evaluation and learning processes. These skills ensure accurate measurement of project impact, facilitate informed decision-making, and contribute to the continual improvement of programs.

What is an internship monitoring evaluation learning position?

Internship Monitoring Evaluation Learning (MEL) positions are entry-level roles that support the design, implementation, and analysis of projects aimed at assessing the effectiveness and impact of programs, often in the development, nonprofit, or governmental sectors. Interns in MEL typically assist with data collection, analysis, reporting, and learning activities to help organizations make data-driven decisions and improve project outcomes. These positions are ideal for students or recent graduates interested in gaining practical experience in monitoring and evaluation methodologies, research, and project management.

What is the difference between Internship Monitoring Evaluation Learning vs Monitoring and Evaluation Specialist?

AspectInternship Monitoring Evaluation LearningMonitoring and Evaluation Specialist
CredentialsTypically requires a degree in social sciences, development studies, or related fields; internships may not require certificationsRequires advanced degrees (e.g., Master’s) and professional certifications in M&E
Work EnvironmentEntry-level, often in NGOs, development agencies, or government programs; supervised learning settingFull-time professional role in organizations, agencies, or consulting firms
Employer & Industry UsageUsed in development projects, NGOs, and government programs for learning and supportUsed in similar sectors for designing, implementing, and analyzing M&E systems

Internship Monitoring Evaluation Learning roles focus on gaining practical experience and supporting M&E activities under supervision, while Monitoring and Evaluation Specialists are experienced professionals responsible for designing and managing M&E systems. The former is entry-level, often part of learning programs, whereas the latter involves advanced expertise and responsibilities.

What are the most commonly searched types of Monitoring Evaluation Learning jobs in Indiana? The most popular types of Monitoring Evaluation Learning jobs in Indiana are:
What are popular job titles related to Internship Monitoring Evaluation Learning jobs in Indiana? For Internship Monitoring Evaluation Learning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Internship Monitoring Evaluation Learning jobs in Indiana look for? The top searched job categories for Internship Monitoring Evaluation Learning jobs in Indiana are:
Internship Monitoring Evaluation Learning jobs near you

Senior Data Engineer and Analyst

BETTER WORLD BOOKS MARKETPLACE INC

Mishawaka, IN • On-site

$95K - $110K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Company Information

Better World Books (“BWB” or the “Company”) is a for-profit socially conscious business and a global online bookseller that collects and sells new and used books online matching each purchase with a book donation. Each sale generates funds for literacy and education initiatives in the UK, U.S., and around the world. Since its launch in 2003, Better World Books has raised over $35 million for libraries and literacy, has sold over 100 million books, has donated over 38 million books, and has reused or recycled more than 475 million books.

Senior Data Engineer & Analyst

Job Summary

As part of the Business Analytics team, the Senior Data Engineer & Analyst will operate at the intersection of data engineering, analytics, and applied machine learning. This role will help move several key machine learning initiatives from development into production while building the data infrastructure that supports Better World Books’ next phase of growth. Key priorities include productionizing inventory acceptance models, advancing dynamic pricing capabilities, and building data pipelines that support growth initiatives. This is a senior individual contributor role with significant ownership. You will work closely with the Vice President of Business Analytics to design, build, and deploy systems that directly influence business decisions. Success in this role requires strong technical depth across the data stack, comfort working in ambiguous environments, and the judgment to effectively use AI coding tools while maintaining rigorous engineering standards.


Essential Functions


Machine Learning and Advanced Analytics

  • Shepherd the inventory acceptance model from testing into production, including monitoring, evaluation, and ongoing iteration.
  • Accelerate development of the dynamic pricing model, incorporating historical pricing decisions, sell-through data, and external competitive signals.
  • Integrate vector embeddings of book metadata to support similarity-based predictions for titles with limited sales history.
  • Design model monitoring, evaluation, and guardrail frameworks to ensure production ML systems remain reliable and explainable.
  • Partner with the analytics team on architecture, feature engineering, and model development decisions.
  • Apply statistical and machine learning methods across the business, including anomaly detection, refund risk scoring, and experimentation design.



Data Engineering and Infrastructure

  • Build and maintain data pipelines supporting pricing, inventory, marketing attribution, and operational reporting.
  • Develop ETL/ELT workflows that unify data from internal systems and third-party sources.
  • Own the data infrastructure supporting key initiatives.
  • Evaluate and integrate external data sources.
  • Partner with IT to implement experimentation infrastructure for pricing and on-site testing.
  • Support expansion of the Power BI reporting environment across financial, operational, and logistics reporting.
  • Promote strong practices in data quality, governance, and monitoring.


Analytics and Business Partnership

  • Deliver analysis that informs key business decisions including marketplace pricing strategy, multi-book discount optimization, customer LTV, acquisition cost by channel, and wholesale profitability.
  • Partner with the VP of Business Analytics to identify automation opportunities that deliver measurable operational impact.
  • Contribute to cross-team AI knowledge-sharing sessions to help the organization adopt AI tools effectively.
  • Work with IT and Operations to ensure analytics systems are scalable, well-documented, and performant.


Knowledge, Skills, and Abilities

  • Advanced SQL skills required; extensive experience with Microsoft SQL Server strongly preferred.
  • Strong Python development skills for data engineering, automation, and ML workflows.
  • Experience working with machine learning frameworks such as scikit-learn, PyTorch, XGBoost, GBDT, or similar.
  • Familiarity with the full ML lifecycle: training, evaluation, deployment, and monitoring.
  • Experience building and maintaining data pipelines and ETL/ELT workflows (e.g., dbt, SSIS, Airflow, Prefect, or similar).
  • Solid understanding of data warehousing, dimensional modeling, and database performance optimization.
  • Familiarity with Power BI or similar BI tools.
  • Exposure to cloud platforms (e.g., Azure, AWS, Snowflake) and DevOps practices (e.g., Git, CI/CD) is a plus.
  • Active user of AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor, or equivalent).
  • Equally important: the technical depth to recognize when AI-generated code or model output is incorrect, incomplete, or brittle—and the discipline not to ship it anyway.
  • Experience with vector databases or embedding-based systems is a plus.
  • Strong communication skills and the ability to translate technical work into business insights are essential.


Qualifications, Training, and Experience

  • Bachelor’s degree in computer science, information systems, engineering, mathematics, statistics, or a related field required. Master’s degree preferred.
  • Five or more (5+) years of professional experience in data engineering, analytics engineering, or a closely related role with increasing scope and ownership.
  • Demonstrated experience building and maintaining production ML systems—not just model training, but deployment, monitoring, and iteration.
  • Experience in e-commerce, retail, or marketplace environments preferred.
  • Relevant certifications (e.g., Microsoft Data Engineering, dbt, cloud platforms) are a plus.
  • Strong alignment with the Purpose & Pillars of BWB.



Reports to: VP, Business Analytics

Location: Mishawaka, IN (hybrid eligible in some instances)

Type: Hourly, Non-Exempt, Full-Time


*BWB reserves the right to update and amend the terms in this Job Summary at its sole discretion and at any time.


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