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Business Analyst Sql R Python Jobs in Charleston, SC

Senior Data Engineer

Charleston, SC

$99K - $134K/yr

The ideal candidate will have strong proficiency in Python, SQL, AWS services such as S3 and ... Cross-functional collaboration with business, analytics and AI teams * Dataset refinement and ...

Digital Analyst Internships

Charleston, SC · On-site

$92K - $109K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Mount Pleasant, SC · On-site

$94K - $111K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

We are in the people business, and that principle is what drives our culture. We hire people for a ... Python and R and using packages commonly used in data science applications or advanced analytics

We are in the people business, and that principle is what drives our culture. We hire people for a ... Python and R and using packages commonly used in data science applications or advanced analytics

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and ... Proficiency in programming languages such as Python, Java, R, C, VBA, Bash (Unix shell), with hands ...

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and ... Proficiency in programming languages such as Python, Java, R, C, VBA, Bash (Unix shell), with hands ...

Data Engineer

Charleston, SC · On-site

$160K/yr

... analytics, operational reporting, and business intelligence initiatives. * Support BI tool ... Advanced Python development for data engineering and automation * Advanced SQL skills including ...

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

... analytics, operational reporting, and business intelligence initiatives. * Support BI tool ... Advanced Python development for data engineering and automation * Advanced SQL skills including ...

Strong analytical and problem-solving abilities. * Attention to detail to ensure data accuracy and ... , SSIS). * Knowledge of relevant programming or scripting languages (e.g., Python, C++, Java) is ...

Strong analytical and problem-solving abilities. * Attention to detail to ensure data accuracy and ... , SSIS). * Knowledge of relevant programming or scripting languages (e.g., Python, C++, Java) is ...

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Business Analyst Sql R Python information

See Charleston, SC salary details

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How much do business analyst sql r python jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for business analyst sql r python in Charleston, SC is $44.39, according to ZipRecruiter salary data. Most workers in this role earn between $33.27 and $55.58 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

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

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
What job categories do people searching Business Analyst Sql R Python jobs in Charleston, SC look for? The top searched job categories for Business Analyst Sql R Python jobs in Charleston, SC are:
What cities near Charleston, SC are hiring for Business Analyst Sql R Python jobs? Cities near Charleston, SC with the most Business Analyst Sql R Python job openings:
Senior Data Engineer

$99K - $134K/yr

Full-time

Retirement, PTO

Posted yesterday


Brookfield Properties rating

6.8

Company rating: 6.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

105th of 160 rated real estate companies


Job description

Location

Charleston - 997 Morrison Drive, Suite 402

Business

We know that a "one-size-fits-all" approach doesn't work when it comes to residential living. That's why, at Brookfield Properties, our portfolio features a wide range of options for any stage of life. And though our properties may be diverse, one thing is universal: all offer the unparalleled quality, service, and support our residents deserve.

If you're ready to be a part of our team, we encourage you to apply.

Job Description

Position Summary

The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and cloud-based data systems that support analytics and data-driven decision-making across the organization. This role requires expertise in data architecture, ETL development, and modern cloud technologies, with a focus on ensuring high-quality, reliable, and efficient data solutions. The ideal candidate will have strong proficiency in Python, SQL, AWS services such as S3 and Redshift. Experience integrating Salesforce data and working with orchestration tools such as Airflow or AWS Glue is also highly valued.
In this role, the Senior Data Engineer will collaborate closely with data analysts, scientists, software engineers, and business stakeholders to improve data accessibility, performance, and scalability. Key responsibilities include developing and maintaining automated ETL frameworks, managing enterprise data products, implementing DevOps and CI/CD practices, and ensuring data quality and governance standards are met. The position also involves researching and adopting emerging technologies to continuously enhance the organization's data infrastructure and operational efficiency.
The ideal candidate will possess strong problem-solving abilities, excellent communication skills, and experience working within agile development environments. Preferred qualifications include certifications in cloud or data engineering platforms, familiarity with non-relational databases and OpenSearch technologies, and exposure to business intelligence tools such as Tableau or Power BI. Success in this role will be measured by pipeline performance, data reliability, cross-functional collaboration, and contributions toward innovation and infrastructure optimization.

1. Pipeline Development & Data Integration (50%)
Design, develop, optimize, and maintain scalable ETL/ELT pipelines and cloud-based data integrations across enterprise systems, APIs, and operational platforms including Yardi and Salesforce. Build reliable, high-performance workflows that support the movement and transformation of data from SQL Server and other source systems into AWS-based analytics platforms including Redshift and S3.
Key Areas:
-ETL/ELT pipeline development and optimization
-SQL Server, API, Yardi, Salesforce, and third-party integrations
-AWS S3 and Redshift data workflows
-Airflow and AWS Glue orchestration
-Pipeline monitoring, reliability, and SLA management

2. Collaboration with Analytics, Data Science, and Stakeholders and Data Enablement 30%
Develop and maintain enterprise datasets, models, and transformation frameworks while partnering with Analytics, Data Science, AI Initiatives, and Business teams to refine requirements, improve data accessibility, and deliver trusted datasets that support reporting, analytics, and operational decision-making.
Key Areas:
* Data modeling and warehousing
* Data quality, governance, and documentation
* Cross-functional collaboration with business, analytics and AI teams
* Dataset refinement and business requirements gathering
* Support for BI, AI/ML, and operational analytics initiatives

3. Architecture, Strategic Initiatives & Operational Excellence (20%)
Contribute to enterprise data platform and strategy through participation in large-scale initiatives, complex integration design, and modernization of data infrastructure. Support scalable and reliable operations through DevOps, automation, CI/CD, and infrastructure management best practices.
Key Areas:
* Enterprise data architecture and integration design
* Strategic technology evaluation and innovation
* Infrastructure automation and CI/CD practices
* Docker, Terraform, and deployment management
* Agile/Scrum participation and operational support

Education

Undergraduate (Bachelor) Degree in MIS, Computer Science, Information Technology required

Work Experience

  • 5 - 7 Years of experience developing ETL & System Integration pipelines required
  • 5 - 7 Years of experience designing, building, and improving large data models in complex environments required
  • 5 - 7 Years experience with Cloud Technologies like Airflow, Glue, or similar ETL Tools
  • 5 - 7 Years of experience with SQL, Redshift, Snowflake or similar data warehouse solutions required
  • 5 - 7 Years of experience developing complex Python code to support various integration needs

Travel

Travel up to 20% of the time; rarely travel

Great Incentives!

Brookfield Properties cares about the well-being and work-life balance of our valued associates! To show how much we care, we offer awesome incentives that include:

  • Full benefits package

  • Generous paid time off

  • 401(k) with company match

  • Growth and advancement opportunities

Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. Drug free workplace

#LI-JR1

We are proud to create a diverse environment and are proud to be an equal opportunity employer. We are grateful for your interest in this position, however, only candidates selected for pre-screening will be contacted.

#BPMF


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