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Senior Python Data Analysis Jobs in North Carolina

Booz Allen Hamilton

Senior Data Analyst

Fayetteville, NC · On-site

$79K - $99K/yr

Job Number: R0239478 Data Analyst, Senior The Opportunity: As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data,

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 into meaningful insights. With the abundance of structured and unstructured data, you understand the

Guilford County, NC

Senior Data Analyst

Greensboro, NC · On-site

$74K - $92K/yr

Salary: $74,392.00 - $92,990.00 Annually Location : 301 West Market Street Greensboro, NC Job Type: Full Time Job Number: 04116 Department: County Administration Opening Date: 06/29/2026 Closing

Guilford County

Senior Data Analyst

Greensboro, NC

$74K - $92K/yr

GUILFORD COUNTY GOVERNMENT Empower Successful People to thrive in a Strong Community supported by Quality Government Description GENERAL STATEMENT OF DUTIES The Senior Data Analyst supports Guilford

iTech US, Inc.

Data Analyst

Charlotte, NC · On-site

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

Vangard, Inc.

Senior Data Analyst

Charlotte, NC

$84K - $106K/yr

Core Responsibilities * Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project

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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, and why are they important?

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 Data Analyst

Careers - North Carolina's Electric Cooperatives | North Carolina's Electric Cooperatives

Raleigh, NC

$83K - $105K/yr

Full-time

Re-posted 4 days ago

Job description

North Carolina Electric Membership Corporation Employer Website Posting

North Carolina Electric Membership Corporation is seeking a Senior Data Analyst at its Raleigh, NC location.

Job Description: Mentor junior data analysts. Identify enterprise and departmental data elements and facilitate management of that data. Develop and implement data collection and management strategies that optimize quality and consistency. Proactively maintain the data for accuracy, completeness, consistency, validity, integrity and timelines. Work with management to prioritize business and information needs, visualizations, and data discovery. Locate and define new process improvement opportunities.

Minimum Requirements: Position requires a Bachelor of Science degree (or foreign equivalent) in Data Science, Applied Data Analytics, Computer Science, or a related field of study. Position requires three (3) years of experience as a Data Analyst or a related occupation. Position requires three (3) years of experience with each of the following: machine learning algorithms, including supervised, unsupervised, and deep learning techniques (RandomForest, Decision Tree, Gradient Boosting, LGBM, and regression); libraries including scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, and Matplotlib, Seaborn; information technology systems, data management, and reporting; reporting packages, databases (SQL), cloud data stores and development environments (Databricks or Azure) programming (python, scripting or ETL frameworks); statistics and using statistical packages for analyzing datasets (Excel, R, SPSS, or SAS Data Management); data models, visualization, database design, data mining and segmentation techniques; queries, report writing and presenting findings, dashboarding, and visualization (PowerBi, or Tableau).

How to Apply: Send resume to careers@ncemcs.com, reference Job No. 150 or click “Apply”

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