1

Data Analysis Assistant Jobs in Indiana (NOW HIRING)

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk ... Ability to assist in the execution of a BI roadmap aligned to enterprise and marketing goals ...

... * Assist in documenting data sources, data definitions, calculations, and report logic to support ... This job requires strong analytical and critical-thinking abilities, attention to detail, and ...

Technical Architect - Data, Analytics & AI

Carmel, IN · Hybrid

$63.75 - $81.75/hr

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

Data Analysis: Assist in collecting and analyzing OEE (Overall Equipment Effectiveness) data to drive site-level performance improvements. * Equipment Lifecycle Tracking: Support the maintenance team ...

Data Analysis: Assist in collecting and analyzing OEE (Overall Equipment Effectiveness) data to drive site-level performance improvements. * Equipment Lifecycle Tracking: Support the maintenance team ...

Assists and supports financial and manufacturing analysis of both recurring and ad-hoc nature to internal management. * Assist and support payroll. * Assist and supply supplying financial data needed ...

Utilize film and data systems (e.g., HUDL, Catapult, Teamworks) to support scouting, self-scouting, and performance analysis. * Assist in data compilation and presentation for game and practice ...

Assists and supports financial and manufacturing analysis of both recurring and ad-hoc nature to internal management. * Assist and support payroll. * Assist and supply supplying financial data needed ...

next page

Showing results 1-20

Data Analysis Assistant information

See Indiana salary details

$10

$18

$25

How much do data analysis assistant jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for data analysis assistant in Indiana is $18.13, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $20.34 per hour, depending on experience, location, and employer.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the role of a data analysis assistant. Human skills like interpreting complex data, making strategic decisions, and communicating insights remain essential. Data analysts and assistants who develop skills in tools like SQL, Python, or data visualization are better positioned to adapt to technological changes.

What are the top 3 skills for a data analyst?

A data analysis assistant should have strong analytical skills to interpret data accurately, proficiency in data manipulation tools like Excel, SQL, or Python, and good communication skills to present findings clearly. Familiarity with data visualization software such as Tableau or Power BI is also valuable. These skills enable effective data-driven decision-making and reporting.

Is 40 too late for data science?

For a Data Analysis Assistant or similar data-related roles, starting a career at 40 is feasible as many employers value experience and analytical skills. Success often depends on acquiring relevant tools like SQL, Python, or Excel, and building a strong portfolio or certifications, regardless of age.

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

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

What are the key skills and qualifications needed to thrive as a Data Analysis Assistant, and why are they important?

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a data analysis assistant do?

A data analysis assistant supports data collection, cleaning, and organization to prepare datasets for analysis. They often use tools like Excel, SQL, or statistical software to identify trends and generate reports under the supervision of data analysts or scientists.

What are some common challenges faced by Data Analysis Assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
What are the most commonly searched types of Data Analysis jobs in Indiana? The most popular types of Data Analysis jobs in Indiana are:
What are popular job titles related to Data Analysis Assistant jobs in Indiana? For Data Analysis Assistant jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Data Analysis Assistant jobs? Cities in Indiana with the most Data Analysis Assistant job openings:
Infographic showing various Data Analysis Assistant job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $37,710 per year, or $18.1 per hour.
Senior Data Analyst

Senior Data Analyst

Interra Credit Union

Goshen, IN • On-site

$76K - $96K/yr

Full-time

Posted 12 days ago


Interra Credit Union rating

8.4

Company rating: 8.4 out of 10

Based on 6 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 data-driven culture.
You will also take a hands-on role in advancing data ingestion, reporting environments, and analytic models-owning higher-complexity 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 cross-functional 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 cross-department teams.
10% Guide and mentor data analysts and data-curious 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.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.