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Business Analyst Sql R Python Jobs in Rock Hill, SC

... g., SQL, R, Python) * Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis * Synthesize business needs with your ...

... g., SQL, R, Python) * Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis * Synthesize business needs with your ...

Business Data Analyst

Charlotte, NC · Remote

$95K - $110K/yr

We are looking for a highly motivated Data/Business Analyst to join our team and help drive data ... Experience in programming languages such as Python, R, and SQL. * Proficiency with data ...

Required Qualifications: 5 years of Data Management Business Analysis Analytics or Project Management experience or equivalent demonstrated through one or a combination of the following: work or ...

Looking for Business analyst with experince in capital market, Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) certification and experience in Python or Oracle. Risk (market, credit ...

Proven experience in writing and executing SQL to assist in analysis and validation of test scripts ... business systems analysis and/or design Experience acting as a liaison between technical and ...

Python SQL Developer

Charlotte, NC · On-site

$49 - $67.75/hr

The role involves collaborating with the development team and business partners to ensure ... PYTHON • Secondary: SQL, MS SQL Server • Responsible for developing code in PYTHON • Good ...

Business Analyst Charlotte, North Carolina This is what You`ll Do: * Collaborate closely with ... Proficiency in data analysis and diagramming tools, such as Microsoft Excel, SQL, Visio or other ...

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Business Analyst Sql R Python information

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

As of May 30, 2026, the average hourly pay for business analyst sql r python in Rock Hill, SC is $39.38, according to ZipRecruiter salary data. Most workers in this role earn between $29.52 and $49.28 per hour, depending on experience, location, and employer.

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.

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.

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.
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Business analyst Trade Surveillance

Accord Technologies Inc.

Charlotte, NC • On-site

Contractor

Posted 15 days ago


Job description

Job Title: Business Analyst – Trade Surveillance
Location: Charlotte, NC (onsite)
Duration: 12 months.
Type: W2 Contract
 
We are seeking a Trade Surveillance Business Analyst to enhance our compliance technology systems, ensuring adherence to FINRA, SEC, and global market abuse regulations.
You will act as the liaison between Compliance, Trading Desks, and IT teams to optimize surveillance systems, detect market manipulation, and reduce false positives in alert generation
 
Job Descriptiion:
  • Requirement Analysis:

    • Gather and document business requirements for trade surveillance systems (e.g., Nasdaq SMARTS, Actimize, Bloomberg SURF).

    • Define rulesets for detecting insider trading, spoofing, wash trades, and other market abuse patterns.

  • System Optimization:

    • Reduce false positives by refining surveillance algorithms and thresholds.

    • Collaborate with quants/data scientists to improve machine learning models for anomaly detection.

  • Stakeholder Collaboration:

    • Work with Compliance Officers to align surveillance workflows with SEC Rule 15c3-5, MAR (Market Abuse Regulation), and MiFID II.

    • Partner with IT to implement enhancements in real-time monitoring and post-trade analytics.

  • Data & Reporting:

    • Analyze trade/communication data (voice, chat, emails) for suspicious activity.

      • Develop dashboards (Power BI, Tableau) for surveillance metrics and regulatory reporting.

Required Skills & Experience:
  • 9+ years as a Business Analyst in Trade Surveillance, Compliance, Capital Markets Technology.

  • Deep understanding of equity/derivative trading behaviors and market abuse typologies.

  • Hands-on experience with surveillance tools (SMARTS, Actimize, Eventus, or similar).

  • Proficiency in SQL, Excel, and data analysis (e.g., parsing FIX messages, trade logs).

  • Knowledge of global regulations (FINRA, SEC, MAR, CFTC).

Preferred:

  • Familiarity with Python/R for data analysis (Pandas, regex for communication surveillance).

  • Exposure to cloud-based surveillance solutions (AWS, Azure).

  • Certifications like CAMS, CFA, or Series 7/24.