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Sql Data Analyst Jobs in Indiana (NOW HIRING)

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

Possess a solid foundation in statistics and practical experience with statistical software (such as Excel and Power BI) and mastery in data analysis languages including SQL, Python, and R

BCforward

Data Acquisition Analyst

Warsaw, IN

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings ... Knowledge of JDE, DCS, and MAPICS systems and SQL aplus. Additional Information Must be able to ...

Lyntris

Senior Data Analyst

Bloomington, IN · On-site

$100 - $125/hr

S enior Data Analyst * Full Time * Hybrid The Sr. Data Analyst serves as a recognized subject matter expert and advanced individual contributor, leading complex data analytics and statistical ...

Accelint

Senior Data Analyst

Bloomington, IN · On-site

$99K - $124K/yr

Senior Data Analyst * Full Time * Hybrid The Sr. Data Analyst serves as a recognized subject matter expert and advanced individual contributor, leading complex data analytics and statistical modeling ...

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All JobsSql Data Analyst JobsSql Data Analyst Jobs in Indiana

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 7, 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.
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Sql Data Analyst jobs near you
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.

Senior Data Quality Analyst

OrganOx

Indianapolis, IN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Key responsibilities

  • Ensure that data analysis and reporting is accurate, consistent, and reliable throughout its lifecycle.

  • Cleanse data, scrutinize reports, and identify and rectify coding errors.

  • Create and maintain processes to generate accurate and timely reports for stakeholders.

Job description

ABOUT ORGANOX:
OrganOx is a commercial stage organ technology company dedicated to developing technologies to improve outcomes for patients with acute or chronic organ failure. The company was established as a spin out of the University of Oxford in 2008 and is now part of the Terumo Group. OrganOx is a pioneer in normothermic machine perfusion (NMP). It's flagship platform, the metra®, is available for use in the U.S., Europe, Canada, and Australia. It has been utilized in over 7,000 liver transplants to date to keep donor livers in a metabolically active state outside the body enabling longer preservation times and functional assessment of the organ prior to transplant, leading to an increased number of organs available for transplant. Founded in 1921, Terumo Corporation (TSE:4543) strives to fulfil its mission of "Contributing to Society through Healthcare" by providing a comprehensive range of solutions in the fields of therapeutic procedures, hospital operations, and life sciences in more than 160 countries and regions.
Position Summary
The Senior Data Analyst is responsible to deliver insightful metrics, reports, and dashboards to support our business. The role requires collaboration with other analysts, data engineers, data product managers, and business stakeholders. The ideal candidate will be an organized, detail-oriented collaborator with strong communication.
Listed below are the major responsibilities of the role and a brief description of some of the key tasks to be performed. This list is not totally exhaustive.
This is an on-site position in Madison, NJ. The position is responsible for overseeing our complaint and servicing data systems and reporting frameworks, ensuring the integrity and precision of data. The ideal candidate will transform raw data into structured information, which will then be analyzed to glean insights that drive strategic business decisions. The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as monitoring performance and quality assurance processes to pinpoint areas for improvement.
Major Responsibilities
Under direction from the Director, Complaints Management, the Senior Data Analyst will be responsible for the following tasks:
  • Ensure that data analysis and reporting is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions
  • Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors
  • Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems
  • Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights
  • Identify opportunities for process improvements
  • Engage with managers to specify data requirements for analysis projects tailored to their unique business processes
  • Design scripts and tools to automatically extract large volumes of data from websites or other digital sources, improving efficiency and availability
  • Detect, examine, and decode trends or patterns within intricate datasets
  • Employ statistical techniques to scrutinize data and produce actionable business insights
  • Develop data dashboards, charts, and visual aids to support decision-making across departments
  • Conduct in-depth data analysis using advanced statistical methods and tools to uncover patterns, correlations, and insights
  • Manage and update databases to ensure they are secure, accessible, and functioning properly
  • Coordinate with management to align business and informational priorities
  • Adhere to the letter and spirit of OrganOx's Code of Conduct and all other company policies

Requirements
Skills & Experience
  • Possess a solid foundation in statistics and practical experience with statistical software (such as Excel and Power BI) and mastery in data analysis languages including SQL, Python, and R
  • Proficient at create presentations and data visualizations within PowerPoint
  • Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
  • Capable of critically evaluating data to derive meaningful, actionable insights
  • Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background
  • Experience in medical device or pharmaceutical industries preferred
  • Ability to work independently

Qualifications
  • Bachelor's Degree in an analytical/research field (Math, Physics, Engineering, Computer Science, Statistics, etc.) and 5+ years of experience in data analytics, or equivalent combination. Advanced degree preferred.
  • Minimum of two years of experience in a senior analytical role
  • Ability to travel 10%
  • Quality Management System process knowledge preferred
  • Expertise with Databricks preferred

A job description does not imply that the duties stated are the only ones to be performed by the job holder. Job holder will be required to follow any other job-related instruction as reasonably requested by their line manager or their designate.
Benefits
We offer competitive compensation and comprehensive benefits available from day one, including health, dental, vision, disability coverage, and flexible spending accounts. Additionally, we offer a 401(k)-retirement plan with company matching after 90 days, paid time off, holidays, and additional leave benefits, as well as employee discounts and access to our onsite wellness facility. OrganOx supports work-life balance and provides opportunities for ongoing professional development.

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