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Data Analyst Python Sql Jobs in Charleston, SC (NOW HIRING)

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated ...

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and ... Extensive knowledge of big data tools like Hadoop, Spark, Talend, ETL processes, SQL databases, and ...

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and ... Extensive knowledge of big data tools like Hadoop, Spark, Talend, ETL processes, SQL databases, and ...

Data Engineer (Contract)

Charleston, SC · Remote

$117K - $140K/yr

Refactor and optimize SQL/dbt models * Automate anomaly detection and QA processes • Collaborate with analytics, product, and marketing teams to translate business requirements into scalable data ...

Data Engineer (Contract)

Charleston, SC · On-site +1

$107K - $128K/yr

Refactor and optimize SQL/dbt models * Automate anomaly detection and QA processes • Collaborate with analytics, product, and marketing teams to translate business requirements into scalable data ...

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Data Analyst Python Sql information

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$31.8K

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

As of Jul 15, 2026, the average yearly pay for data analyst python sql in Charleston, SC is $77,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $90,800.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 are popular job titles related to Data Analyst Python Sql jobs in Charleston, SC? For Data Analyst Python Sql jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Charleston, SC look for? The top searched job categories for Data Analyst Python Sql jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Data Analyst Python Sql jobs? Cities near Charleston, SC with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Charleston, SC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $77,336 per year, or $37.2 per hour.
Senior Payroll Business Analyst, Data & Reporting

Senior Payroll Business Analyst, Data & Reporting

Boeing

North Charleston, SC

$88K - $114K/yr

Full-time

Medical, Life, Retirement

Posted 4 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 602 frontline employees who took The Breakroom Quiz

34th of 527 rated manufacturers


Job description

Senior Payroll Business Analyst, Data & Reporting

Company:

The Boeing Company

The Boeing Company is looking for a Senior Payroll Business Analyst, Data & Reporting

based in Renton Washington or Hazelwood, Missouri. Candidates that live near one of the following locations will also be considered. Relocation assistance is NOT available.

Additional locations:

  • Alabama:Huntsville

  • Arizona:Mesa

  • California: El Segundo, Huntington Beach

  • Pennsylvania:Ridley Park

  • South Carolina: North Charleston

  • Texas:Plano

  • Virginia:Arlington

  • Washington:Everett, Renton or Seattle

The Senior Payroll Business Analyst, Data and Reporting, is a hands-on senior payroll team member and data expert and builder who works as part of the larger payroll team using data management methodology to drive best practices.

Do cool things:

Boeing delivers one of the largest and most complex payrolls in the world. We are on a focused journey of system modernization and operational effectiveness to deliver accurate, on-time pay for Boeing employees and empower the business with clear, reliable payroll and timekeeping data, analytics, and reporting that drive compliance, operational excellence, and faster decision-making.

Why this role matters

Payroll data and reports are the single source of truth for payroll operations, HR, Finance, and auditors. This role ensures data flows correctly end-to-end (Finance HRIS Timekeeping Payroll General Ledger (GL)), builds the reporting and metrics structure the team relies on, shortens incident resolution, and demonstrates payroll value through actionable insights.

What we do

  • Own payroll data integrity, end-to-end mapping, reconciliations, and recurring/ ad-hoc reporting for payroll and timekeeping systems

  • Design and maintain dashboards and Key Performance Indicators (KPIs) that surface exceptions, trends, and compliance risks

  • Act as the payroll data Subject Matter Expert (SME) and first escalation point for data, reporting, and metrics issues

  • Define data requirements and validate outcomes for system changes, integrations, and payroll deploys

  • Train payroll operations and partners to read, use, and trust payroll data and reports

Primary Responsibilities:

Data Strategy & Governance

  • Define and maintain payroll data models, mappings, and lineage from source to GL

  • Create and maintain data dictionaries, component code files, and change logs

Reporting & Analytics

  • Build dashboards, KPIs, reconciliations, and variance analyses to monitor payroll accuracy and Service Level Agreements (SLAs)

  • Produce recurring and ad-hoc reports for Payroll, HR, Finance, and Audit

Operational Support & Issue Resolution

  • Troubleshoot data and reporting incidents, lead root-cause analysis (RCA), implement fixes, and prevent recurrence

  • Own data/reporting-related incident lifecycle

Systems, Testing & Deployments

  • Define data requirements for Project work requests (PWRs)/changes, author User Acceptance Testing (UAT) test plans and data scenarios, validate post-deploy data outcomes, and support stabilization

  • Configure reporting layers and support integrations (transmit, feeds to GL, timekeeping interfaces)

Training & Knowledge Transfer

  • Create training materials, run operational training sessions, and mentor payroll specialists to improve data literacy and self-service reporting

Continuous Improvement

  • Identify automation opportunities, simplify processes, and standardize reporting to reduce manual work and errors

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future.

Basic Qualifications (Required Skills/Experience):

  • 5+ years of experiencein data analytics and/or business intelligence

  • 5+ years of experiencein data analysis and Root Cause Corrective Action (RCCA)

  • 5+ years of experienceleading stakeholders in analysis of process data, metrics, models and flows to identify root cause of complex problems and development and implementation of preventive or corrective actions

Preferred Qualifications (Desired Skills/Experience):

  • Currently hold a Bachelor's degree or higher

  • Experience with Employee Data Management, HR Operations/Payroll, and/or Workday Human Capital Management (HCM)/Payroll systems

  • Deep understanding of payroll processes and end-to-end data flows (Finance HRIS Timekeeping Payroll GL)

  • Hands-on with payroll/timekeeping/HCM systems (Workday, ServiceNow, CloudPay, PeopleSoft, etc.)

  • Advanced Excel; strong experience with SQL and with dashboard tools like Power BI, Tableau, etc.

  • Experience with integrations, data mapping, and payroll transmit processes

  • Strong troubleshooting, Root Cause Analysis (RCA), and User Acceptance Testing (UAT) experience

  • Clear communicator who can explain technical data issues to non-technical stakeholders and create practical documentation and training

  • Knowledge of U.S. federal & state labor laws and global payroll experience preferred

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay and Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary pay range: $93,500 - $126,500

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This is not an Export Control position.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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