1

Data Analyst Python Sql Jobs in Charlotte, NC (NOW HIRING)

Acquire, validate, and analyze structured and unstructured data from multiple sources to ensure ... SQL, Tableau, Power BI, Alteryx, Python, R, Excel, or similar technologies. * Ability to manage ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Write high-quality Python and SQL code * Implement automated testing frameworks * Develop reusable ... Strong communication and analytical skills * Ability to manage priorities in fast-paced ...

Data Scientist - FCRM

Charlotte, NC · On-site

$96K - $155K/yr

Analytics, Insights, & Artificial Intelligence ATTN: This role is not eligible for TD work visa ... Prior experience and expertise with machine learning, Microsoft Azure, Python, SQL, and Databricks ...

The Data Analyst, Outpatient Operations is responsible for supporting Charlotte Radiology ... Proficiency in writing SQL to query tables and views and to review stored procedures. * Ability to ...

... analysts within the IT and CDAO departments as well as other stakeholders aligned with the ... Important Knowledge of data profiling and validation tools - Proficiency in SQL or rule based ...

... analysts within the IT and CDAO departments as well as other stakeholders aligned with the ... Important Knowledge of data profiling and validation tools - Proficiency in SQL or rule based ...

Expertlevel SQL with experience building, validating, and maintaining complex queries and datasets ... Advanced Python experience for analysis, modeling, and automation (e.g., pandas, NumPy, stats/ML ...

AT A GLANCE RVO Health is looking to add a Data Analyst to our People Analytics team. This is a mid ... Fluency coding in one analytical programming knowledge (e.g., R or Python) and SQL is required

AT A GLANCE RVO Health is looking to add a Data Analyst to our People Analytics team. This is a mid ... Fluency coding in one analytical programming knowledge (e.g., R or Python) and SQL is required

Data sets can range from 5 rows to 1500 rows depending on the report, so this person should have very senior analytical skill, as well as be able to utilize python to simplify the analytics process.

Data sets can range from 5 rows to 1500 rows depending on the report, so this person should have very senior analytical skill, as well as be able to utilize python to simplify the analytics process.

Migrate legacy SQL processes to modern frameworks (e.g., Java-based ETL). * Ensure solutions meet ... Data & Technology Engineering Oversight * Work with large-scale relational datasets, risk ...

... SQL - queries written by hand (not generated by BI tool) Experience with data analysis with ... reporting Experience of working with at least three or more major healthcare IT systems Experience ...

Data Analyst

Charlotte, NC · On-site

$50 - $55/hr

Data sets can range from 5 rows to 1500 rows depending on the report, so this person should have very senior analytical skills, as well as be able to utilize python to simplify the analytics process.

Data Analyst

Charlotte, NC · On-site

$50 - $55/hr

Data sets can range from 5 rows to 1500 rows depending on the report, so this person should have very senior analytical skills, as well as be able to utilize python to simplify the analytics process.

Showing results 41-60

Data Analyst Python Sql information

See Charlotte, NC salary details

$33.2K

$80.7K

$132.8K

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

As of Aug 12, 2026, the average yearly pay for data analyst python sql in Charlotte, NC is $80,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 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 job categories do people searching Data Analyst Python Sql jobs in Charlotte, NC look for? The top searched job categories for Data Analyst Python Sql jobs in Charlotte, NC are:
What cities near Charlotte, NC are hiring for Data Analyst Python Sql jobs? Cities near Charlotte, NC with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Charlotte, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,716 per year, or $38.8 per hour.

Data Analyst, Specialist

Vangard, Inc.

Charlotte, NC

Full-time

Re-posted 9 days ago


Job description

The Advice and Wealth Management (AWM) Analytics team is seeking an analyst to play an important role supporting the Personal Wealth Marketing team and enabling growth through data-driven strategy. Our work includes data preparation and transformation, discovery analysis, experimental design, campaign measurement, dashboard development, and strategic recommendations sourced from the data. The role involves collaboration with marketing and analytics partners and working closely with cross-functional teams and initiatives. We are looking for someone who excels at connecting business questions and marketing decisions to clear, actionable analysis with value-creating impact.

Data Management and Analysis

  • Acquire and compile structured and unstructured data, verifying its quality, accuracy, and reasonableness.

  • Perform analyses of historical data to surface trends and insights using advanced analytical methods.

  • Validate analytical techniques employed by other analysts.

  • Develop expertise in key subject areas (e.g., audience targeting, client journey, marketing channel usage, and marketing content).

Reporting and Visualization

  • Prepare and deliver visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.

  • Develop, own, and manage recurring analytic or reporting processes.

Project Management and Strategy

  • Engage with internal partners to understand business strategy, questions, and goals.

  • Bring structure to business requests, translate requirements into an analytical project approach, and lead projects through completion.

  • Delegate tasks and provide tactical and strategic guidance to peers.

  • Proactively identify opportunities within the business to contribute to its growth and success.

  • Participate in special projects and perform other duties as assigned.

Mentorship and Knowledge Sharing

  • Foster a culture of continuous learning and innovation in analytics tools and methods.

  • Proactively expand knowledge of business and analytics, share best practices, and document them.

  • Serve as a subject matter expert for the team and the analytic organization.

Cross-Functional Collaboration

  • Partner with teams in Marketing, CXD, Engineering, and Finance to deliver integrated insights.

  • Participate in cross-divisional data projects and resolve operational challenges.


Qualifications

  • Experience: Over five years in analytics, data science, or business intelligence.

  • Education: Bachelor's degree in a relevant field

  • Technical Skills: Proficiency in SQL, Tableau, Python, PySpark and cloud platforms like AWS and Snowflake.

  • Communication Skills: Strong skills in communication, presentation development, and stakeholder engagement.

  • Data Visualization: Experience with tools like Tableau and Power BI.

  • Marketing Knowledge: Strong understanding of marketing principles and strategies (e.g., A/B, multivariate, multi-armed bandit).

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.