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Assistant Data Analyst Training Jobs in Raleigh, NC

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 ...

Data Analyst

Cary, NC · On-site +1

EDUCATION, TRAINING, AND EXPERIENCE * Associate's degree in information systems, business ... Researches and performs data analysis to disseminate specialized reports. * Researches and analyzes ...

EDUCATION, TRAINING, AND EXPERIENCE Associate's degree in information systems, business ... Researches and performs data analysis to disseminate specialized reports. Researches and analyzes ...

EDUCATION, TRAINING, AND EXPERIENCE * Associate's degree in information systems, business ... Researches and performs data analysis to disseminate specialized reports. * Researches and analyzes ...

Data Analyst

Cary, NC · On-site +1

EDUCATION, TRAINING, AND EXPERIENCE * Associate's degree in information systems, business ... Researches and performs data analysis to disseminate specialized reports. * Researches and analyzes ...

Sr Data Analyst

Raleigh, NC · On-site +1

$83K - $105K/yr

Perform site visits for project start-ups to assist with Human Resources functions * Maintain ... Knowledge of Human Capital procedures, including recruitment, selection, compensation, training ...

Join our team as a Data Governance Analyst and assist the Data Governance Manager with development ... Tuition reimbursement and extensive internal training programs. * Family-Friendly Benefits: New ...

Builds dashboards to modernize analytics and assists management with special data projects ... May assist in training or mentoring less experienced consultants in the work group. * Business ...

New

Overview Join our team as a Data Governance Analyst and assist the Data Governance Manager with ... Tuition reimbursement and extensive internal training programs. * Family-Friendly Benefits: New ...

Principal Data Analyst

Raleigh, NC · On-site

$126 - $180/hr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... training, external market value, and internal pay equity. Annual salary is one component of Red Hat ...

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... training, external market value, and internal pay equity. Annual salary is one component of Red Hat ...

Overview Join our team as a Data Governance Analyst and assist the Data Governance Manager with ... Tuition reimbursement and extensive internal training programs. * Family-Friendly Benefits: New ...

Overview Join our team as a Data Governance Analyst and assist the Data Governance Manager with ... Tuition reimbursement and extensive internal training programs. * Family-Friendly Benefits: New ...

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Showing results 1-20

Assistant Data Analyst Training information

See Raleigh, NC salary details

$27.2K

$69.7K

$133.2K

How much do assistant data analyst training jobs pay per year?

As of Aug 26, 2026, the average yearly pay for assistant data analyst training in Raleigh, NC is $69,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $81,200.00 per year, depending on experience, location, and employer.

What is an assistant data analyst training program?

An Assistant Data Analyst Training program is a structured course or series of workshops designed to teach foundational data analysis skills. Participants learn how to collect, organize, and interpret data using tools such as Excel, SQL, and data visualization software. The training often covers basic statistics, data cleaning, and reporting techniques to prepare individuals for entry-level roles as data analysts. These programs are suitable for beginners and those looking to transition into data-related fields.

What are the key skills and qualifications needed to thrive as an assistant data analyst in training?

To thrive as an Assistant Data Analyst in training, you need a solid grounding in statistics, data interpretation, and a relevant educational background such as a degree in mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, and data visualization software, as well as basic knowledge of programming languages like Python or R, is highly beneficial. Attention to detail, analytical thinking, and effective communication are critical soft skills for interpreting data and collaborating with teams. These skills ensure accurate data analysis, meaningful insights, and clear reporting, which are essential for supporting organizational decision-making.

What are some common challenges faced by assistant data analysts during their training period, and how can they overcome them?

Assistant Data Analysts in training often encounter challenges such as adapting to new data analysis tools, understanding complex datasets, and translating business requirements into actionable insights. It's common to feel overwhelmed by the variety of data sources and the technical skills required, such as proficiency in Excel, SQL, or visualization tools. Overcoming these hurdles typically involves proactively seeking mentorship, participating in team discussions, and consistently practicing with real datasets to build confidence and competence. Collaborating closely with senior analysts and asking clarifying questions can significantly accelerate the learning process.

What is the difference between Assistant Data Analyst Training vs Data Analyst?

AspectAssistant Data Analyst TrainingData Analyst
Required CredentialsBasic certifications, training programsBachelor's degree in related field, certifications
Work EnvironmentEntry-level, supervised tasks, training settingsFull responsibilities, independent analysis
Employer UsageTraining programs, internships, entry rolesFull-time analyst roles in various industries
Search & Comparison IntentLearning path, entry-level roles, training optionsCareer advancement, job requirements, skills needed

Assistant Data Analyst Training focuses on preparing individuals with foundational skills through courses and internships, while Data Analyst roles involve performing independent data analysis tasks in professional settings. Training is ideal for beginners, whereas Data Analyst positions require more experience and technical expertise.

What cities near Raleigh, NC are hiring for Assistant Data Analyst Training jobs?

Cities near Raleigh, NC with the most Assistant Data Analyst Training job openings:

Data Analyst, Customer Success

Raleigh, NC • On-site, Remote

VAST Data
Software Development • 201 - 500 employees

Full-time

Posted 5 days ago


Job description

Description
VAST Data is looking for a Data Analyst, Customer Success 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.
Overview:
VAST is seeking a Data Analyst, Customer Success to join our growing analytics team. The candidate will roll up their sleeves and work hands-on to build analytics and dashboard visualizations that deliver actionable insights on core customer success metrics. The role will partner closely with stakeholders in the Customer Success organization to develop analytical solutions that improve VAST's reporting systems, data quality, and processes for metrics such as Time to Response, Time to Resolution, Customer Satisfaction, NPS, and Feature Adoption.
As a Data Analyst, Customer Success, this position will play a key role in transforming data into actionable insights that improve business outcomes. The Data Analyst will be part of teams that build and deliver accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels.
The analyst will focus on defined questions, creating standard reports and dashboards. The role will be responsible for both building data models behind operational metrics, using SQL, and creating visually compelling dashboards in Tableau. We are seeking an analyst with intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
Essential Duties and Responsibilities
  • Data Extraction and Modeling: Write SQL queries to extract and transform customer success data, ensuring data integrity and accuracy for reporting and analysis purposes
  • Business Understanding: Proactively seek guidance from senior analysts and stakeholders to build deeper understanding of Customer Success processes and metrics
  • Data Analysis: Collect, clean, and interpret data from various sources to provide actionable insights that support Customer Success objectives
  • Reporting: Develop ad-hoc reports and analytics packages for regular business reviews. Build and maintain reports in Tableau
  • Data Visualization: Develop and maintain Tableau visualizations to represent metrics, trends, and performance
  • Insights: Deliver analytics that answer key business questions and drive value and improved outcomes for Customer Success stakeholders
  • Data Management: Support efforts that improve the accuracy of reporting data. Identify data quality gaps, help improve the integrity of source data, and maintain documentation and data definitions for financial metrics. Escalate complex data issues as needed
  • AI-Enabled Efficiency: Use tools such as Cursor and Claude to speed up SQL development, documentation, and testing, and to reduce manual, repetitive analytics work
  • Process & Policy: Track and manage analytics work in Jira. Work cross-functionally to streamline data processes, troubleshoot issues, and collaborate to improve data across systems

Requirements
  • Education: Bachelor's degree in Business Analytics, Business, Computer Science, Data Science, or a related field
  • Experience: 3-5 years of experience as a data analyst; Customer Success experience preferred
  • Programming Languages: Proficient in SQL for data extraction and manipulation
  • Visualization Tools: Experience with Tableau for dashboard creation and data visualization
  • AI Tools: Some experience using AI-assisted coding and analysis tools (e.g., Cursor, Claude) to improve speed and quality of work
  • Data Visualization and Analytics: Strong analytical, problem-solving, and critical thinking skills. Proficient in BI tools like Tableau.
  • Domain Expertise: Familiar with Customer Success workflows, KPIs, and operational lifecycles of a software company preferred but not required
  • Project Tracking: Comfortable working in Jira to manage and track analytics tasks
  • Travel: Minimal travel required (approximately 10% or less annually)

Qualifications
  • A relentless drive and a customer-first mentality are essential.
  • An attention to detail that ensures accuracy and reliability in findings that leads to trust and credibility with stakeholders.
  • The ability to break down complex problems, identify patterns, and derive meaningful insights from data.
  • Intellectual curiosity with a natural desire to explore data and ask questions that lead to deeper insights.
  • The ability to convey data insights clearly and effectively to both technical and non-technical stakeholders.
  • Ability to manage multiple projects and deadlines while prioritizing tasks.
  • Ability to thrive in a culture of transparency and direct feedback.