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Contract Python Data Analysis Jobs in Garner, NC

Proficiency in Python, including libraries for data analysis and modeling. * Strong SQL experience to facilitate deep dives and analysis of complex datasets. * Strong hands-on experience with AWS ...

Data Modeler Engineer

Raleigh, NC · On-site

$53.25 - $69/hr

Contract Required Skills Data Modelling, BIAN, FIBO, SnowflakeDB, SQL (Advanced), SAS (data analysis understanding), ETL Concepts, Data Warehousing, ER Modelling s: * Design and implement enterprise ...

New

Proficiency in Python, including libraries for data analysis and modeling. * Strong SQL experience to facilitate deep dives and analysis of complex datasets. * Strong hands-on experience with AWS ...

linux kVAST Data is looking for a Database QA Automation Engineer to join our growing team! This is ... Python, bash. - an advantage Experience in analyzing large and diverse systems, understanding QA ...

Description linux kVAST Data is looking for a Database QA Automation Engineer to join our growing ... Python, bash. - an advantage Experience in analyzing large and diverse systems, understanding QA ...

Description linux kVAST Data is looking for a Database QA Automation Engineer to join our growing ... Python, bash. - an advantage Experience in analyzing large and diverse systems, understanding QA ...

BI Data Analyst III

Durham, NC · On-site

$90K - $118K/yr

Experience with a scripting language (preferably Python) for data processing and analysis a plus * Prior experience in the insurance industry or at a startup preferred Must have: * An investigative ...

... CONTRACT No WORK WEEK SCHEDULE Monday-Friday (occasional evenings and weekends) Position is ... Ability to gather and analyze pertinent facts, arrive at conclusions or recommendations, and ...

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Contract Python Data Analysis information

See Garner, NC salary details

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$52

$76

How much do contract python data analysis jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for contract python data analysis in Garner, NC is $52.25, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $59.38 per hour, depending on experience, location, and employer.

What are some common challenges faced by contract Python Data Analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are the key skills and qualifications needed to thrive as a Contract Python Data Analyst, and why are they important?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are Contract Python Data Analysis jobs?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

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

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

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 Contract Python Data Analysis jobs in Garner, NC look for? The top searched job categories for Contract Python Data Analysis jobs in Garner, NC are:
What cities near Garner, NC are hiring for Contract Python Data Analysis jobs? Cities near Garner, NC with the most Contract Python Data Analysis job openings:

Customer Support Tools & Automation Developer - USA

VAST Data

Raleigh, NC • On-site

Other

Posted 24 days ago


Job description

Description
VAST Data is looking for a Customer Support Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"VAST's data management vision is the future of the market." - Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
Summary
We are seeking a proactive and detail-oriented Customer Success Automation Engineer to join our growing team. The ideal candidate will have a strong technical background combined with a passion for enhancing customer experience through automation. This role will focus on developing and implementing automated solutions to streamline customer success processes, improve efficiency, and drive customer satisfaction.
Key Responsibilities
  • Develop and Implement Automation Solutions: Design, develop, and deploy automated workflows to optimize customer success operations.
  • Process Improvement: Identify opportunities for automation within customer success processes and implement solutions to improve efficiency and customer satisfaction.
  • Technical Support: Provide technical expertise and support to the customer success team in utilizing automation tools and systems.
  • Data Analysis: Analyze customer data to identify trends, patterns, and areas for improvement. Use data insights to drive automation strategies.
  • Collaboration: Work closely with cross-functional teams, including Customer Success, Product, and Engineering, to understand customer needs and develop appropriate automated solutions.
  • Documentation: Create and maintain documentation for all automation processes and workflows.
  • Training and Support: Train and support customer success team members on new automation tools and processes.
Qualifications
  • Experience: Minimum of 3-5 years of experience in automation engineering, preferably in a customer success or customer service environment.
  • Technical Skills:
  • Proficiency in programming languages such as Python and Bash, and experience in developing in Django environments.
  • Experience with automation tools, including Ansible and Puppet.
  • Familiarity with CRM systems, specifically Salesforce.
  • Knowledge of Grafana for data visualization and SQL.
  • Analytical Skills: Strong data analysis skills and experience with data visualization tools.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex technical concepts.
  • Problem-Solving Skills: Strong analytical and problem-solving abilities with a proactive approach to identifying and addressing issues.
  • Team Player: Ability to work effectively in a collaborative team environment.