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Senior Python Data Analysis Jobs in North Carolina

Strong hands-on experience with Python for data analysis and automation. * Advanced SQL skills, including complex queries, joins, stored procedures, and performance optimization. * Experience with ...

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze ... in Python, R, or other relevant languages for data analysis. Company : LexisNexis is a data ...

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze ... in Python, R, or other relevant languages for data analysis. Company : LexisNexis is a data ...

Senior Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

Data Analysis: Analyze data from ERPs and our data warehouse for anomalies, quality, and adherence to standards. Identify transformations required to meet requirements. Become the SME for source ...

Senior Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

Data Analysis: Analyze data from ERPs and our data warehouse for anomalies, quality, and adherence to standards. Identify transformations required to meet requirements. Become the SME for source ...

Senior AI FinOps Data Analyst

Raleigh, NC · On-site +1

$88K - $141K/yr

... financial management, data analysis, IT finance, or a related technology operations role ... Python preferred) * Working knowledge of public cloud billing, cost allocation, and optimization ...

This may require financial data analysis, trend recognition, and research as well as the ... Support senior analysts in conducting financial research and special projects. Required Knowledge ...

Senior Data Analyst

Cary, NC · On-site

$80K - $101K/yr

TITLE: Senior Data Analyst DUTIES: Produce business and market intelligence by querying data ... Develop analysis and reporting capabilities and also monitor performance and quality control plans ...

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis and machine learning tasks (advantageous but optional). * Collaborate with cross ...

Showing results 41-60

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 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:

Data Analyst

iTech US, Inc.

Charlotte, NC • On-site

Other

Posted 26 days ago


Job description

Job Title: Data Analyst
Location: Charlotte, NC (Hybrid)
Employment Type: Contract
Required Skills:
  • 5+ years of experience as a Data Analyst.
  • Strong hands-on experience with Python for data analysis and automation.
  • Advanced SQL skills, including complex queries, joins, stored procedures, and performance optimization.
  • Experience with data profiling, cleansing, validation, and transformation.
  • Strong analytical and problem-solving abilities.
  • Experience working with large datasets and relational databases.
  • Ability to gather business requirements and translate them into data-driven insights.
    Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required