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Graduate Assistant Data Analyst Jobs in Indiana (NOW HIRING)

$45K - $55K/yr

We're looking for a Senior Data Analyst to own analyses end to end, build durable reporting ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Graduate Administrative Aid

Hammond, IN · On-site

$17.25 - $23/hr

Students with a .25 Graduate Assistantship (as defined by the Purdue University Graduate School ... Collect and data entry of assessment survey * Work closely with Dr. Bhandari, other CO-PIs of the ...

Graduate Administrative Aid

Hammond, IN · On-site

$17.25 - $23.25/hr

Students with a .25 Graduate Assistantship (as defined by the Purdue University Graduate School ... Collect and data entry of assessment survey * Work closely with Dr. Bhandari, other CO-PIs of the ...

Participate with other Data Analyst(s) as needed to define minimal viable data assets in support of the visual needs. * Assist the PO in estimating scope and time as it relates to development of data ...

Showing results 21-40

Graduate Assistant Data Analyst information

What is a graduate assistant data analyst?

Graduate Assistant Data Analysts are graduate students who support academic or administrative departments by analyzing data, preparing reports, and assisting with research projects. They typically use statistical software and data visualization tools to interpret data and provide insights to faculty, staff, or research teams. Their work helps inform decision-making, improve processes, and contribute to academic research. These positions often provide students with valuable hands-on experience in data analysis while they complete their graduate studies.

What types of projects and tasks does a graduate assistant data analyst work on?

As a Graduate Assistant Data Analyst, you can expect to work on a variety of projects, such as data cleaning, generating reports, performing statistical analyses, and assisting faculty or departments with research-related data needs. Your daily tasks may include collecting and organizing datasets, using analytical tools like Excel, SPSS, or Python, and collaborating with professors or research teams to support ongoing projects. This role often provides exposure to real-world data challenges and offers opportunities to develop both technical and communication skills while working in an academic or research-focused environment.

What are the key skills and qualifications needed to thrive as a graduate assistant data analyst?

To thrive as a Graduate Assistant Data Analyst, you need a strong foundation in statistics, data analysis, and research methods, typically supported by enrollment in a relevant graduate program. Proficiency in data analysis tools such as Excel, Python, R, and SQL, as well as experience with data visualization platforms like Tableau or Power BI, is essential. Strong attention to detail, critical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These skills and qualities are crucial for generating reliable insights that support institutional research and decision-making.

What is the difference between Graduate Assistant Data Analyst vs Data Analyst?

AspectGraduate Assistant Data AnalystData Analyst
Required CredentialsEnrolled graduate student, often pursuing related fieldsBachelor's degree in data-related field, sometimes a master's
Work EnvironmentAcademic institutions, research projects, part-timeCorporate, government, or consulting firms, full-time
Employer & Industry UsageUniversities, research centersBusinesses, organizations across industries
Common Search & ComparisonYesYes

The main difference is that a Graduate Assistant Data Analyst is typically a graduate student working part-time in academic or research settings, focusing on supporting projects while pursuing their degree. In contrast, a Data Analyst is usually a full-time professional employed by organizations to analyze data and inform business decisions. Both roles require data analysis skills, but their work environments and commitments differ.

What are popular job titles related to Graduate Assistant Data Analyst jobs in Indiana?

For Graduate Assistant Data Analyst jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Graduate Assistant Data Analyst jobs?

Cities in Indiana with the most Graduate Assistant Data Analyst job openings:

Infographic showing various Graduate Assistant Data Analyst job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Assistant Vice President, Senior Data Analyst

Goshen, IN • On-site

Interra Credit Union
Finance and Insurance • 51 - 200 employees

$76K - $96K/yr

Full-time

Re-posted 12 days ago


Key responsibilities

  • Lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk to transform large datasets into actionable insights.

  • Create, enhance, and own enterprise dashboards, KPI scorecards, and decision-support tools using Tableau/Power BI.

  • Oversee and improve organizational data governance practices, including data quality, standards, and definitions.


Interra Credit Union rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

WHAT YOU WILL DO EVERYDAY

As a Senior Data Analyst, you will serve as a strategic analytics partner and an advanced technical contributor, building upon the foundational responsibilities of the Analyst role. You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk, transforming large and complex datasets into actionable insights that drive enterprise decision-making. You will help define data strategy, elevate governance practices, and mentor decentralized data users to strengthen Interra’s datadriven culture.

You will also take a hands-on role in advancing data ingestion, reporting environments, and analytic models—owning highercomplexity initiatives and serving as an escalation point for technical issues.

Direct Reports: None

HOW YOU WILL MAKE AN IMPACT

40%            Lead complex analytical assessments across business lines to identify trends, risks, member behavior patterns, and optimization opportunities.

Apply advanced statistical analysis, forecasting techniques, and modeling to support strategic planning and performance management. Translate complex analysis into concise, actionable recommendations for senior leaders.

 

20%            Create, enhance, and own enterprise dashboards, KPI scorecards, and decision-support tools using Tableau/Power BI. Ensure reporting environments are accurate, scalable, and aligned with governance standards. Serve as the technical lead for defining reporting requirements and business logic.

 

15%            Oversee and elevate organizational data governance practices including dictionaries, catalogues, metadata, standards, and definitions. Identify data quality issues, troubleshoot discrepancies, and drive crossfunctional resolution. Serve as steward of “single source of truth” practices across the enterprise.

 

15%         Partner with IT and data engineering teams to enhance data ingestion pipelines, ETL processes, and data lake usage. Prioritize data needs, support ingestion of new data sources, and validate data flowing through the architecture. Support advanced use cases for decentralized data users and crossdepartment teams.

 

10%            Guide and mentor data analysts and datacurious staff, helping elevate analytical literacy and best practices. Lead complex projects requiring collaboration across multiple departments. Continuously improve tools, processes, automation, and analytic methodologies.

— Must comply with all company policies and procedures, applicable laws, and regulations, including but not limited to, the Bank Secrecy Act, the USA PATRIOT Act, and the Office of Foreign Assets Control.

WHAT YOU WILL NEED TO SUCCEED

Experience

5+ years of progressive experience in data analysis, business intelligence, or analytics within a financial institution or related industry. Demonstrated experience delivering actionable insights that influence business decisions. Experience working with large datasets and cross-functional stakeholders required.

Education / Certifications / Licenses

This level of knowledge is normally acquired through completion of a Bachelor’s degree in Data Analytics, Statistics, Computer Science, Information Systems, Finance, Business, or related field. (Will consider additional years of relevant experience in lieu of education requirement.) Must have and maintain a valid driver’s license.

 

PREFERRED SKILLS

-  Proven expertise in transforming large, complex datasets into meaningful business intelligence to support marketing, product, and growth strategies.

-  Strong proficiency in statistical modeling, data mining, and interpreting behavioral data to identify member trends and campaign performance drivers.

-  Advanced experience with data visualization platforms (e.g., Tableau, Power BI) to deliver compelling, executive-ready dashboards that guide strategic decisions.

-  Proficient in SQL and comfortable querying data across structured and unstructured data sources; experience with cloud data platforms (e.g., Snowflake, BigQuery) preferred.

-  Demonstrated ability to translate data into marketing and business insights that drive measurable outcomes in acquisition, engagement, and retention.

-  Hands-on experience with data tools such as Python or R to support data preparation, automation, and predictive modeling.

-  Strong understanding of data warehouse architecture, dimensional modeling, and ETL processes to ensure scalable, accurate data pipelines.

-  Ability to assist in the execution of a BI roadmap aligned to enterprise and marketing goals, including the creation of KPIs and performance scorecards.

-  Knowledge of data governance, data quality practices, and compliance standards relevant to member privacy and financial regulations.

-  Strong communication skills with a track record of influencing cross-functional stakeholders through data storytelling and actionable recommendations.

-  Demonstrated experience working in a financial services or highly regulated environment, with familiarity in interpreting member behavior and credit union KPIs.

-  Effective project management skills with a focus on delivering high-impact analytics projects on time and with stakeholder buy-in.

-  Ability to mentor analysts and foster a culture of data curiosity and continuous learning.

-  Strong business acumen and the ability to connect analytics work directly to organizational growth, revenue, and member satisfaction.

-  Commitment to Interra’s mission and member experience, with a passion for leveraging data to deliver meaningful impact.

INTERPERSONAL SKILLS

·        Strong interpersonal skills—willingness to engage with team members across the organization.

·        Interest in making a tangible impact at a mission-driven, community-focused financial institution.

·        Ability to communicate complex analytical concepts to non-technical stakeholders in a clear and understandable manner.

·        Ability to influence decision-making through data-driven insights and thoughtful recommendations.

·        Represent the credit union in a professional and positive way, both internally and externally at all times.

COMPETENCIES

Decision Making - Makes sound decisions in a timely manner using critical thinking, problem solving, insights, and experience. Demonstrates sound judgment that proves to be accurate and correct over time.

Drive Engagement - Demonstrates drive and fosters an inclusive environment that motivates others. Alters approach to each person to promote optimal performance and commitment to the Interra mission, vision, and objectives.

Effective Communication - Utilizes a variety of communication modalities effectively and appropriately across multiple channels. Is effective in a variety of communication settings: one-on-one, small, and large groups, or among diverse styles and position levels. Adjusts to fit the message to the audience. Provides timely and helpful information to others across the organization.

Functional Expertise - Maintains strong technical knowledge in data analytics and stays current on industry trends, tools, and best practices.

Maintain Accountability - Takes ownership of work, ensures accuracy, and meets deadlines with high standards of quality.

ADA REQUIREMENTS

Physical Requirements

-  Able to bend, sit, and stand in order to perform primarily sedentary work with limited physical exertion and occasional lifting of up to 10 lbs.

-  Must be capable of climbing / descending stairs in an emergency situation.

-  Must be able to operate routine office equipment including computer terminals and keyboards, telephones, copiers, facsimiles, and calculators.

-  Must be able to routinely perform work on computer for an average of 6-8 hours per day, when necessary.

-  Must be able to work extended hours or travel off site whenever required or requested by management.

-  Must be capable of regular, reliable, and timely attendance.

 

Working Conditions

-  Must be able to routinely perform work indoors in climate-controlled shared work area with minimal noise.

Mental and/or Emotional Requirements

·        Must be able to perform job functions independently and work effectively either on own or as part of a team.

·        Must be able to plan and direct the work activities of self and others.

·        Must be able to read and carry out various written instructions and follow oral instructions.

·        Must be able to speak clearly and deliver information in a logical and understandable sequence.

·        Must be capable of dealing calmly and professionally with numerous different personalities from diverse cultures at various levels within and outside of the organization and demonstrate highest levels of member service and discretion when dealing with the public.

·        Must be able to perform responsibilities with composure under the stress of deadlines / requirements for extreme accuracy and quality and/or fast pace.

·        Must be able to effectively handle multiple, simultaneous, and changing priorities.

·        Must be capable of exercising highest level of discretion on both internal and external confidential matters.


What Interra Credit Union employees say

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