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Senior Python Data Analysis Jobs in Garner, NC (NOW HIRING)

In relation to the Contract We have a qualified Data Analyst needed. You will be a vital member of our data team as it grows helping to convert complex data into insights guiding important corporate

Sr. Data Scientist

Raleigh, NC · On-site

$133 - $160/hr

Pendo's GTM Intelligence Team turns data into measurable outcomes across Sales, Marketing, and Customer Engineering. We combine analysis, ML models, and internal tooling to answer high-value business

Sr. Data Analyst

Cary, NC · On-site

$81K - $103K/yr

Role: Senior Data Analyst Location: Cary, NC - Fulltime Position Technical Skillset: Excellent knowledge in Cognos and other BI tool * Ownership and Proactive approach * Expert in Cognos Report

Senior Data Scientist

Durham, NC · On-site

$90 - $120/hr

## Senior Data ScientistApplylocations: Research Triangle Park, NCtime type: Full timeposted on: Posted 5 Days Agojob requisition id: JR100674It's fun to work in a company where people truly BELIEVE

Senior Data Analyst

Cary, NC · On-site

$79K - $100K/yr

JD: Technical Skillset : Excellent knowledge in Cognos and other BI tool • Ownership and Proactive approach • Expert in Cognos Report Studio and Framework Manager • Immense experience as Data Analyst

Showing results 21-40

Senior Python Data Analysis information

See Garner, NC salary details

$49K

$126.6K

$173.8K

How much do senior python data analysis jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior python data analysis in Garner, NC is $126,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $145,700.00 per year, depending on experience, location, and employer.

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 Garner, NC? The most popular types of Python Data Analysis jobs in Garner, NC are:
What job categories do people searching Senior Python Data Analysis jobs in Garner, NC look for? The top searched job categories for Senior Python Data Analysis jobs in Garner, NC are:

Data Analyst

The Wilson Group KW23

Raleigh, NC • On-site, Remote

Full-time

Medical, PTO

Posted 21 days ago


Job description

In relation to the Contract
We have a qualified Data Analyst needed. You will be a vital member of our data team as it grows helping to convert complex data into insights guiding important corporate decisions. Your knowledge and insight are priceless; we want to leverage them by carrying out choices that strengthen our approach and results. This is a remote full-time post with lots of possibilities for advancement.

By means of data exploration and analysis, we can go through large databases in search of correlations, anomalies, trends, and other insights that would direct our business decisions.
Create interactive dashboards and reports to let important players grasp difficult information. See also this.
Work directly with cross-functional teams including marketing, operations, product, and leadership to offer data-driven insights enhancing strategy and decision-making.
Make that the data under analysis is accurate, whole, and consistent.
Suggest and implement modifications to data processes and systems to raise data quality and efficiency.
What You Provide for Contribution?
You have been outstanding in data analysis or in a related field for the past two years.
You should be conversant with SQL, Excel, or data visualization technologies including Tableau and Power BI. Knowing R or Python would be really helpful.
Your meticulous approach results in accurate, well-organized, consistent data every piece of which.
One's approach to problem-solving is shaped by a wish to address corporate difficulties by means of data analysis and fresh insight discovery.
Essential is the capacity to succinctly and simply communicate difficult data conclusions to stakeholders devoid of technical background.
Two strategies to increase your self-motivation and remote work capacity are by learning good time management techniques and being able to operate autonomously in a distant environment.
What We Have to Share
You are free to work from anyplace in the United States.
If you promise lifetime learning, many doors will open for you in your profession.
Your support team is helpful and encouraging, which distinguishes you; your contributions are much valued and acknowledged.
Apart from competitive salary, we provide paid vacation, health insurance, and other benefits.