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Assistant Data Analyst Training Jobs in Raleigh, NC

UL Solutions

Associate Business Data Analyst

Raleigh, NC · Hybrid

$60K - $75K/yr

... training that helps teams make better, data-driven decisions. If you enjoy working with data ... SG2 #LI-Hybrid * Assist in defining, developing, and deploying data, analytics and reporting ...

UL Solutions

Associate Business Data Analyst

Raleigh, NC · Hybrid

$60K - $75K/yr

... training that helps teams make better, data-driven decisions. If you enjoy working with data ... SG2 #LI-Hybrid * Assist in defining, developing, and deploying data, analytics and reporting ...

Maximus

Data Coordination Analyst

Durham, NC · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... training, experience, expected quality and quantity of work, required travel (if any), external ...

Maximus

Data Coordination Analyst

Raleigh, NC · On-site

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... training, experience, expected quality and quantity of work, required travel (if any), external ...

Corning

Quality Assurance Data Analyst

Durham, NC · On-site

$67K - $92K/yr

Collect, clean, and analyze data from multiple sources * Develop reports, dashboards, and ... training, and education. A job that shapes a life. Corning offers you the total package. Your well ...

Duke University

Database Analyst I

Durham, NC · On-site

$59K - $104K/yr

Data Consolidation & Management: Clean, manage, and consolidate both sensitive PHI and non-PHI ... training. This position is Onsite. The work is performed on-site or at a designated assignment ...

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All JobsData Analyst Training JobsAssistant Data Analyst Training JobsAssistant Data Analyst Training Jobs in Raleigh, NC

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 Jul 11, 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.

Can I be a data analyst with no experience?

Becoming a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, but many entry-level positions are open to candidates with little to no experience if they demonstrate strong analytical skills and a willingness to learn. Completing relevant training or certifications can improve your chances of starting a data analyst role without prior experience.

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 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.

Is a data analyst still worth it in 2026?

A data analyst remains a valuable role in 2026 as organizations continue to rely on data-driven decision-making. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are essential, and demand is expected to stay strong due to increasing data volumes across industries.

Is 40 too late for data science?

For an Assistant Data Analyst training program, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in life by gaining relevant skills such as SQL, Python, and data visualization, often through online courses or certifications. Experience, continuous learning, and building a portfolio are key factors for career progression regardless of age.

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, and why are they important?

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 training is needed to be a data analyst?

To become a data analyst, relevant training typically includes a bachelor's degree in fields like statistics, mathematics, or computer science. Additionally, proficiency in data analysis tools such as Excel, SQL, and programming languages like Python or R, along with knowledge of data visualization and statistical methods, is essential. Certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist can also enhance qualifications.
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:
Assistant Data Analyst Training jobs near you
Senior Enterprise Data Analyst

Senior Enterprise Data Analyst

First Citizens Bank

Raleigh, NC • On-site

$83K - $105K/yr

Full-time

Re-posted 9 days ago

First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

91st of 148 rated banks

Job description

Overview
This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across the Bank through technical innovation and continuous improvement initiatives, as well as through cross-functional partnership with other business units. Provides expert consultation to team members, the Information Technology department, and other stakeholders on strategies that achieve data management goals. May provide leadership to less experienced consultants in the work group.
Responsibilities
Data Enhancement & Analytics
  • Leads the implementation of enhancements to enterprise data quality, storage, and management within the Enterprise Data Warehouse.
  • Executes initiatives for data profiling, issue resolution, and system fixes.
  • Supports and delivers special data-focused initiatives aligned to business needs.

Business Support & Governance
  • Enforces enterprise data policies, standards, and governance practices.
  • Conducts month-end data validations to ensure accuracy, completeness, and readiness for business use.
  • Collaborates with stakeholders to identify gaps and improve data management processes.
  • Provides training, guidance, and mentorship to junior team members as needed.

Business Strategy & Stakeholder Collaboration
  • Supports the development and execution of enterprise data strategy and roadmap.
  • Works cross-functionally to strengthen data management capabilities across business units.
  • Maintains current knowledge of emerging technologies, tools, and trends within financial services and data management.
  • Serves as a liaison between business, data, and technology teams to ensure alignment and successful delivery.

Documentation & Data Management
  • Creates and maintains technical documentation including:
  • Source-to-target mappings
  • Data dictionaries
  • Data lineage and governance artifacts
  • Develops and manages centralized, business-critical reporting assets.

Agile Delivery & Execution
  • Achieves Agile cadence by actively participating in all ceremonies (sprint planning, daily stand-ups, reviews, and retrospectives).
  • Ensures work is managed consistently through Agile frameworks and best practices.
  • Performs accurate estimation, backlog refinement, and capacity planning to support reliable delivery.

Backlog Quality & Delivery Readiness
  • Establishes and enforces a Definition of Ready (DoR) for all backlog items.
  • Ensures at least 90% of user stories meet DoR standards prior to sprint intake, including:
    • Clear linkage to parent Jira issue types
    • Well-defined acceptance criteria
    • User test cases
    • Data mapping requirements
  • Improves delivery efficiency and reduces rework through consistent backlog quality standards.

Outcome Focus
  • Delivers high-quality, reliable enterprise data solutions.
  • Improves data integrity, governance, and reporting accuracy.
  • Strengthens Agile delivery discipline and predictability.
  • Enables better business decision-making through trusted data and analytics.

Qualifications
Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics
Preferred Education: Advanced DegreeLicense or Certification Type: DAMA Certified Data Management Professional-Practitioner (CDMP-P) certification PreferredSkill(s): Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes, Knowledge of data spreadsheets and databases, Understanding of Base SAS programming, SAS Enterprise Guide, Cognos, or related programs, Ability to write SAS programming language
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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