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Data Analyst Python Sql Jobs in Carmel, IN (NOW HIRING)

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python or PySpark for data transformation and automation. * Experience with data modeling and warehouse ...

Azure Data Engineer

Indianapolis, IN

$109K - $131K/yr

Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python or PySpark for data transformation and automation. * Experience with data modeling and warehouse ...

Azure Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Working experience with at least one of Azure Synapse Analytics, Databricks, or Azure SQL. * Python or PySpark for data transformation and automation. * Experience with data modeling and warehouse ...

Showing results 41-60

Data Analyst Python Sql information

See Carmel, IN salary details

$33.9K

$82.5K

$135.8K

How much do data analyst python sql jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst python sql in Carmel, IN is $82,512.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 per year, depending on experience, location, and employer.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What cities near Carmel, IN are hiring for Data Analyst Python Sql jobs? Cities near Carmel, IN with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Carmel, IN as of June 2026, with employment types broken down into 4% Internship, 84% Full Time, 4% Part Time, and 8% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,512 per year, or $39.7 per hour.

Data Analytics Analyst/Manager (US Citizen Only)

Salesforce, Inc.

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 7 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

113th of 242 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Data

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

You must hold a singular U.S. Citizenship and no dual-citizenship with any other countries:Must be a U.S. Citizen operating on U.S. Soil with ability to meet customer and government screening standards applicable to this role, including a Criminal Justice Information Services screening with fingerprint scan. Due to the citizenship requirement for this role, which supports U.S. federal, state, and/or local government customers, citizenship will be verified through two of the following REAL ID Act documents: U.S. Passport, Passport Card, REAL Driver's License, Global Entry Card, U.S. Government CAC/PIV

The Data Analytics Analyst/Manager for the Cloud Success Insights Team is a crucial role responsible for delivering data-driven actionable insights and strategic recommendations that empower Cloud Leaders to drive various programs within the Customer Success. This role will involve providing dedicated analytics support to a specific cloud team, and to do so, collaborating with different teams within CSG will be needed.
Should demonstrate versatility in tackling a diverse range of problem statements, encompassing in-depth analysis, strategic planning, forecasting, data visualization, and effective presentation, all while maintaining a proactive attitude towards embracing new challenges.
This is an individual contributor role, which has high visibility and delivers business impact. The role requires timely responses to questions raised by senior leaders. This sometimes requires a flexible working approach, working outside standard hours.
Must have

  • Degree or equivalent proven experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

  • A bachelors or Masters in Computer Science or related field with 8+ years (for Lead) experience, preferably in a data analytics team.

  • Data Preparation : Extensive experience in writing complex database queries in SQL.

  • Visualization : Expert in one or more popular viz tools (Tableau, Power BI etc)

  • Data Analysis and Interpretation : A curious mindset that enables to dive deep & fetch insights.

  • Storytelling : Excellent skill of preparing Exec level stories.

  • Presentation : Demonstrated experience of creating & presenting data/dashboards/analysis to the leadership team & ability to explain complex analytical concepts to executives.

  • Ability to quickly learn new tools within Analytics space.

  • An awesome team-player and someone who junior analysts can look up to.

  • Ownership : Assume responsibility for assigned projects from start to finish.

  • Stakeholder Management

Nice to have skills

  • Direct experience (2+ yrs) in data-engineering.

  • Tableau certification like desktop specialist/professional is a big plus.

  • Experience working with cloud data sources.

  • Hands-on experience in advanced analytics, including predictive modelling, machine learning using python/R.

  • Salesforce Product Certification

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $99,400 - $186,300 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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