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

AWS Python Data Architect

Raleigh, NC · On-site

$150 - $190/hr

Participate in customer discussions to gather and analyze system requirements for performance ... Python. * Experience in Data Warehouse Design - Dimensional modeling, star/snowflake schemas ...

AWS Python Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

... gather and analyze system requirements for performance, security and scalability. • Provide ... Python. • Experience in Data Warehouse Design - Dimensional modeling, star/snowflake schemas ...

AWS Python Data Engineer

Raleigh, NC · On-site

$95 - $135/hr

Execute test plans, analyse outcomes, and report defects to the development team, to facilitate ... Experience in Python libraries and scripting * Experience with CI/CD (GitLab, Git), Docker ...

New

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Open to entry-level through senior candidates; no minimum or maximum years of experience required ... Develop and execute SQL queries for data analysis and reporting. * Work within Snowflake to access ...

Manufacturing Data Analyst / Senior Data Analyst Ascentt is building cutting-edge data analytics ... Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines Industry Experience ...

Manufacturing Data Analyst / Senior Data Analyst Ascentt is building cutting-edge data analytics ... Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines Industry Experience ...

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 ...

Title: Sr. Data Scientist II Location: Raleigh, NC Duration: Long Term Rate: W2 Only locals-F2F ... Proficiency in Python and data analysis tools. * Strong foundation in statistics, modeling, and ...

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Visualize data, create reports, and present findings to senior management and cross-functional teams. * Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud ...

Sr. Data Analyst

Cary, NC · On-site

$87K - $110K/yr

Job Title Must Have - Experience in Data Analysis, Data Profiling, Data Cleansing. Experience in Data Profiling tool Oracle EDQ Around 9 to 10 years' experience in SQL server database. Data Profiling ...

Sr. Data Analyst

Cary, NC · On-site

$87K - $110K/yr

Job Title Must Have - Experience in Data Analysis, Data Profiling, Data Cleansing. Experience in Data Profiling tool Oracle EDQ Around 9 to 10 years' experience in SQL server database. Data Profiling ...

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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 Sep 4, 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 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 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 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 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 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:

AWS Python Data Architect

Infosys Limited

Raleigh, NC • On-site

$150 - $190/hr

Other

Medical, Retirement

Posted 29 days ago


Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

153rd of 226 rated it services


Job description

Technology|Cloud Platform|Amazon Webservices Architecture

Technical Skills 2

Technical Skills 3

Technology|Oracle|PL/SQL

Technical Skills 4

Technical Skills 5

Technology|ETL & Data Quality|ETL & Data Quality - ALL

Overview

The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel.

In the assigned Job Role of Architecture Consultant 2, your Area Of Responsibility will be as below:
  • Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
  • Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
  • Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
  • Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
  • Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy
  • Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases
  • Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape
  • Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository
Your contribution to the team:
  • The ability to analyse, design, and develop scalable and secure architectures.
  • A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions.
  • Understanding of integration methodologies, proof-of-concept validation and deployment strategies.
  • The ability to document architectural frameworks and solutions.
  • Proactive communication with internal teams and clients, ensuring alignment with business objectives.
  • A knack to keep with up technical advancements to ensure relevant and effective recommendations.
  • The ability to maintain standards and ensure smooth transition through knowledge transfer
Required Skill and Experience
  • Experience in AWS Data Platform Architecture – Redesign and modernization of reporting/data warehouse platforms on AWS.
  • Experience in AWS Glue & ETL Engineering – Designing scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python.
  • Experience in Data Warehouse Design – Dimensional modeling, star/snowflake schemas, reporting database optimization, and performance tuning.
  • Experience in Amazon Redshift & S3 – Expertise in cloud-native analytics and data lake architectures.
  • Experience in Semantic Layer Design – Building business-friendly semantic models for reporting and self-service analytics.
  • Experience level : 12-15 year’s of experience (STA / Tech Architect)
Preferred Skill and Experience
  • Experience in Advanced SQL & Data Modeling – Data integration, transformation, reconciliation, and governance.
Additional Required Qualifications
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • This position may require relocation and/or travel to work/project location.
  • All applicants authorized to work in the United States are encouraged to apply.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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