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Senior Python Data Analysis Jobs in North Carolina

Archgroup

Sr. Data Analyst

Greensboro, NC · On-site

$83K - $105K/yr

Perform data analysis, modeling, reconciliation, and trend evaluation to identify actionable ... Proficiency in SQL, Python, and modern data analytics, automation, and reporting techniques.

New

Archgroup

Sr. Data Analyst

Greensboro, NC

$83K - $105K/yr

Perform data analysis, modeling, reconciliation, and trend evaluation to identify actionable ... Proficiency in SQL, Python, and modern data analytics, automation, and reporting techniques.

New

Booz Allen Hamilton

Data Analyst, Senior

Fayetteville, NC

$79K - $99K/yr

Data Analyst, Senior The Opportunity: As data analyst, you love diving into data and turning it ... and analysis * Knowledge of SQL * Knowledge of Python, Java, C++, or .NET * TS/SCI clearance

Booz Allen Hamilton

Senior Data Analyst

Fayetteville, NC · On-site

$79K - $99K/yr

R0239478 Data Analyst, Senior The Opportunity: As data analyst, you love diving into data and ... and analysis * Knowledge of SQL * Knowledge of Python, Java, C++, or .NET * TS/SCI clearance

Info Dinamica Inc

Data Analyst - W2 Only

Charlotte, NC · On-site

Use Python for data analysis, automation, and data quality checks. Support data validation, troubleshooting, and root cause analysis. Work with AWS services such as S3, Glue, and Athena to support ...

New

Compunnel

Senior Data Scientist Level-2

Raleigh, NC · On-site

JOB SUMMARY Senior Data Scientist II will leverage advanced analytical skills to extract insights ... Experience with coding skills in Python or another programming language. Be experienced in ...

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Senior Python Data Analysis information

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in North Carolina? The most popular types of Python Data Analysis jobs in North Carolina are:
What are popular job titles related to Senior Python Data Analysis jobs in North Carolina? For Senior Python Data Analysis jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in North Carolina look for? The top searched job categories for Senior Python Data Analysis jobs in North Carolina are:
What cities in North Carolina are hiring for Senior Python Data Analysis jobs? Cities in North Carolina with the most Senior Python Data Analysis job openings:
Senior Python Data Analysis jobs near you

Senior Python Developer - Fixed Income & Swaps 3641519

Axiom Path

Charlotte, NC • Hybrid

$70 - $75/hr

Full-time

Posted 15 days ago

Job description

Be Part Of A High-Performing Team

Join a global financial services organization supporting complex Fixed Income and derivatives technology across the full trade lifecycle. This team works closely with trading, operations, risk, finance, and engineering stakeholders to strengthen the systems that support high-value swaps and other OTC derivatives transactions.

The environment is highly collaborative, technically demanding, and well suited for a hands-on developer who can connect front-office trading activity with middle-office controls and back-office processing. The successful candidate will help improve data integrity, system reliability, and workflow performance across interconnected capital markets platforms.

What’s In Store For You

  • Engagement: W2 only; no C2C or 1099.
  • Contract opportunity with the intention of converting to permanent employment.
  • Hybrid role based in Charlotte, North Carolina.
  • Exposure to front-, middle-, and back-office Fixed Income and derivatives workflows.
  • Opportunity to develop Python solutions for complex trading and post-trade systems.
  • Direct collaboration with developers, product specialists, operations teams, and business stakeholders.
  • Work involving high-value swaps transactions, complex data flows, and multimillion-dollar payment processes.

How You Will Make An Impact

  • Develop Python solutions for Fixed Income and OTC derivatives platforms.
  • Support front-office workflows involving trade capture, pricing, execution, and booking.
  • Contribute to middle-office processes involving trade enrichment, confirmations, lifecycle events, reconciliations, controls, risk, and exception management.
  • Support back-office functions including settlement, accounting, regulatory reporting, cash flows, and derivatives payments.
  • Write advanced SQL queries for data validation, reconciliation, issue investigation, and root-cause analysis.
  • Develop and enhance backend services, APIs, web services, and data-processing capabilities.
  • Trace trades and data across interconnected front-, middle-, and back-office applications.
  • Identify gaps, risks, data breaks, and processing issues across the end-to-end trade lifecycle.
  • Translate business and operational requirements into reliable technical solutions.
  • Review development stories and requirements to assess technical impact, dependencies, and delivery needs.
  • Participate in code reviews and contribute to continuous integration, execution reporting, and system-quality practices.

Do You Bring Proven Success in Python Development and Front-to-Back Capital Markets Technology?

  • At least five years of experience in Python development, backend engineering, application development, or software engineering.
  • Strong hands-on Python coding ability and readiness to complete a technical coding assessment.
  • Direct experience supporting Fixed Income Capital Markets applications or workflows.
  • Practical knowledge of swaps or other OTC derivatives, such as interest rate swaps, credit default swaps, repos, or similar products.
  • Strong understanding of the complete trade lifecycle from execution and booking through confirmation, reconciliation, settlement, accounting, reporting, and payment.
  • Front-office experience involving trading, pricing, execution, trade capture, or booking workflows.
  • Middle-office experience involving trade validation, lifecycle events, risk controls, P&L, confirmations, reconciliations, or exception management.
  • Back-office experience involving settlement, accounting, regulatory reporting, cash flows, and payment processing.
  • Strong SQL skills, including complex queries used for reconciliation, validation, and issue investigation.
  • Experience developing backend services, APIs, web services, or data-focused applications.
  • Ability to understand complex application integrations and data movement across multiple capital markets systems.
  • Strong software engineering mindset with the ability to work closely with developers, analysts, traders, operations teams, and business partners.
  • Strong communication, problem-solving, risk-identification, and requirements-analysis skills.
  • Availability to work in a hybrid model in Charlotte, North Carolina.

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