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Sql Data Analyst Jobs in Indiana (NOW HIRING)

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

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 ...

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 ...

New

The Research Analyst is also responsible for working with Division Directors to promote the goals of research and data collection and aid in developing strategies for implementing research and ...

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

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 Aug 8, 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.

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.

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.

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.

Is SQL high demand?

SQL Data Analysts are in high demand across many industries due to the increasing reliance on data-driven decision making. Proficiency in SQL, along with skills in data visualization and database management, can lead to strong job prospects and competitive salaries.

Will SQL get me a job?

SQL Data Analysts are in high demand across various industries because of their ability to manage and analyze large datasets. Proficiency in SQL, along with skills in data visualization and understanding of databases, can improve job prospects and lead to roles in data analysis, business intelligence, and related fields.

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.

Is SQL high demand?

SQL is a highly in-demand skill for data analysts, as it is essential for managing and querying databases. Many organizations seek professionals proficient in SQL along with data visualization and analysis tools, making it a valuable skill for job seekers in data-related roles.

Do data analysts still use SQL?

Yes, data analysts still use SQL as it is a fundamental tool for querying and managing databases. Proficiency in SQL is often essential for extracting, analyzing, and reporting data efficiently in many organizations.
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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,331 per year, or $40.1 per hour.

Data Reporting Analytics :: Indianapolis, IN, United States, 46204 (Onsite)

Talent Movers

Indianapolis, IN • On-site

$60/hr

Contractor

Re-posted 3 days ago


Job description

Role :: Data Reporting Analytics
Location :: Indianapolis, IN, United States, 46204 (Onsite)
Marketplace Pay Rate USD$60.00 / hr on W2 only
 
Summary

​LeadLife Sciences Clinical Manufacturing Systems and GMP experience is a MUST have.

Client has rejected internal candidates due to lack of functional exposure to Clinical Manufacturing environment and Good Manufacturing Practices. We can find technical data engineers, but the role needs prior functional and technical experience with data from clinical manufacturing sources – Pi historian, LIMS, MES, RT data​

    Responsibilities

    ​Power BI Desktop, DAX, Power Query/M language, Semantic Model design, SQL, Data Modeling, Row-level Security (RLS)
    ​Secondary: PBI Administration
    ​• Develop data visualization to support the Foundry operational reporting needs
    ​• Configure and establish the LMF Fabric workspace with appropriate security controls for Red CCI data
    ​• Set up OneLake shortcuts to AWS S3 buckets containing LMF data (Bronze/Silver/Gold zones)
    ​• Design and build semantic models (datasets) using Direct Lake mode for optimal performance
    ​• Develop initial Batch Review Dashboard integrating MES and LIMS data
    ​• Implement Row-Level Security (RLS) aligned with Red CCI access requirements
    ​• Establish report development standards and templates for LMF​

        Requirements
        Primary Skill Required for the Role
         
        Microsoft - Power BI
        Level Required for Primary Skill
         
        Advanced (6-9 years experience)
        Additional Skills Requested for Role
         
        Skill (optional)
        Level (optional)
        Criteria (optional)
        Power BI
        Life Sciences and Healthcare Modernization Strategy and Implementation
        Additional Details for Role
         
        Power BI Desktop, DAX, Power Query/M language, Semantic Model design, SQL, Data Modeling, Row-level Security (RLS)
        Secondary: PBI Administration
        • Develop data visualization to support the Foundry operational reporting needs
        • Configure and establish the LMF Fabric workspace with appropriate security controls for Red CCI data
        • Set up OneLake shortcuts to AWS S3 buckets containing LMF data (Bronze/Silver/Gold zones)
        • Design and build semantic models (datasets) using Direct Lake mode for optimal performance
        • Develop initial Batch Review Dashboard integrating MES and LIMS data
        • Implement Row-Level Security (RLS) aligned with Red CCI access requirements
        • Establish report development standards and templates for LMF
        Will any work be done by the contractor outside of the United States? If yes, please explain.
         
        No
        What stage is the Project in?
         
        Sold/Funded
        Are there client flow down requirements that the Supplier should be aware of when sourcing?
         
        Standard BGV
          Skills
          • data visualization
            Power BI Desktop
            Clinical Manufacturing Systems and GMP