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Sql Data Analyst Jobs in Indiana (NOW HIRING)

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

The Data Engineer will assist in building end-to-end data pipelines to enable business intelligence, analytics, and data-driven decision making. This position requires a solid understanding of SQL ...

Proficiency in data analysis programming languages such as Python, R, SQL, or equivalent * Experience with data visualization tools such as Tableau, Power BI, matplotlib, or equivalent * Strong ...

Data Engineer

Columbia City, IN · On-site

$80K - $112K/yr

... SSIS. • Design and implement Azure data assets. • Build and maintain Power BI semantic models, optimizing for refresh and query performance. • Leverage Microsoft Fabric for end-to-end analytics ...

Data Engineer

Columbia City, IN · On-site

$80K - $112K/yr

... SSIS. • Design and implement Azure data assets. • Build and maintain Power BI semantic models, optimizing for refresh and query performance. • Leverage Microsoft Fabric for end-to-end analytics ...

Data Engineer

Columbia City, IN · On-site

$80K - $112K/yr

... SSIS. • Design and implement Azure data assets. • Build and maintain Power BI semantic models, optimizing for refresh and query performance. • Leverage Microsoft Fabric for end-to-end analytics ...

Showing results 41-60

Sql Data Analyst information

See Indiana salary details

$20.5K

$83.3K

$120.8K

How much do sql data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for sql data analyst in Indiana is $83,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $95,200.00 per year, depending on experience, location, and employer.

What is an SQL data analyst?

An SQL Data Analyst is a professional who uses SQL (Structured Query Language) to extract, analyze, and interpret data stored in relational databases. They transform raw data into actionable insights by writing queries, creating reports, and visualizing trends to support business decision-making. SQL Data Analysts also help ensure data quality, optimize database performance, and collaborate with other teams to meet organizational goals.

What does an SQL data analyst do?

A SQL data analyst is a data scientist that uses the SQL language to interpret data. This analysis is used to improve business information and provide new insights to managers. Your primary responsibilities revolve around creating these analysis reports, but SQL analytical skills are in demand in many different industries, so specific duties can vary. In many positions, you may be tasked with database upkeep as well, developing infrastructure that increases system efficiency. Regarding academic qualifications, this career requires a bachelor’s degree in either computer science, electrical engineering, information technology, or statistics. Most aspiring SQL analysts gain experience through internships while pursuing their degree.

What are the key skills and qualifications needed to thrive as a SQL data analyst, and why are they important?

To thrive as a SQL Data Analyst, a strong command of SQL, data modeling, and statistical analysis is essential, often supported by a degree in computer science, statistics, or a related field. Familiarity with database management systems like Microsoft SQL Server or MySQL, as well as tools such as Excel, Tableau, or Power BI, is typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Analytical thinking, attention to detail, and effective communication stand out as key soft skills for interpreting data and explaining results to stakeholders. These competencies enable accurate data-driven decision-making, efficient data management, and clear insights that support organizational goals.

How does a SQL data analyst typically collaborate with cross-functional teams to deliver insights?

As a SQL Data Analyst, collaboration with cross-functional teams such as product managers, engineers, and business stakeholders is a key part of the role. Analysts often gather requirements from these teams, translate business questions into data queries, and present actionable insights through reports or dashboards. Regular meetings and clear communication are essential to ensure that analysis aligns with business objectives and that results are understood and actionable. This collaborative approach not only improves data-driven decision-making but also provides analysts with valuable context, enhancing the impact of their work.

What is the difference between Sql Data Analyst vs Data Engineer?

AspectSql Data AnalystData Engineer
Required SkillsSQL, data visualization, reportingSQL, programming, data pipeline development
CertificationsSQL certifications, data analysis coursesCloud certifications, programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData infrastructure teams, software engineering environments
Industry UsageFinance, marketing, healthcareTech, finance, large-scale data platforms

Sql Data Analysts focus on interpreting data, creating reports, and visualizations using SQL. Data Engineers build and maintain data pipelines and infrastructure to support data analysis. While both roles require SQL skills, Data Engineers typically have programming expertise and work on data architecture, whereas Sql Data Analysts concentrate on analyzing and presenting data insights.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often essential for performing data queries, creating reports, and supporting data-driven decision-making in many organizations.

Do data analysts still use SQL?

Yes, data analysts still use SQL as a fundamental tool for extracting, managing, and analyzing data from relational databases. Proficiency in SQL is often required for data analysis roles, alongside skills in data visualization and statistical tools.

Does SQL pay well?

Data analysts who use SQL often earn competitive salaries, especially with experience and proficiency in database management, data visualization, and analytics tools. Salaries vary by industry and location but generally reflect the demand for data skills in the job market.

Is SQL high demand?

SQL Data Analysts are in high demand across many industries due to the widespread need for data management and analysis. Proficiency in SQL, along with skills in data visualization and database management, can lead to strong job prospects and competitive salaries.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Skills in SQL, data visualization, and critical thinking remain essential, as AI tools are used to augment rather than replace human judgment in data analysis.

What are the most commonly searched types of Sql Data Analyst jobs in Indiana?

The most popular types of Sql Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Sql Data Analyst jobs?

Cities in Indiana with the most Sql Data Analyst job openings:

What are popular job titles related to Sql Data Analyst jobs in IN?

For Sql Data Analyst jobs in IN, the most frequently searched job titles are:

Infographic showing various Sql 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, with an average salary of $83,331 per year, or $40.1 per hour.

Assistant Vice President, Senior Data Analyst

Interra Credit Union

Goshen, IN • On-site

$76K - $96K/yr

Full-time

Re-posted 2 days ago


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 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.

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