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Junior Data Analytics Engineer Jobs in Raleigh, NC

Analyzing large datasets to identify patterns and trends that can inform AI development ... Mentoring junior data scientists and provide guidance on AI and machine learning best practices

Analyzing large datasets to identify patterns and trends that can inform AI development ... Mentoring junior data scientists and provide guidance on AI and machine learning best practices

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Analyzing large datasets to identify patterns and trends that can inform AI development ... Mentoring junior data scientists and provide guidance on AI and machine learning best practices

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Analyzing large datasets to identify patterns and trends that can inform AI development ... Mentoring junior data scientists and provide guidance on AI and machine learning best practices

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

... Junior to mid-level with high growth potential Location United States -- on-site, remote, or hybrid ... This is not a pure data analysis, BI reporting, or one-off scripting role. It is a comprehensive ...

New

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

AI Data Engineer

Durham, NC · On-site

$110K - $132K/yr

AI Data Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of Information Technology is looking for an AI Data Engineer to join our Data Analytics Practice and ...

AI Data Engineer

Durham, NC · Hybrid

$110K - $132K/yr

AI Data Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of Information Technology is looking for an AI Data Engineer to join our Data Analytics Practice and ...

ERG is hiring enthusiastic and highly motivated Junior Engineers, Scientists, and Technicians to ... Support the preparation of technical reports, data analysis, and project documentation

ERG is hiring enthusiastic and highly motivated Junior Engineers, Scientists, and Technicians to ... Support the preparation of technical reports, data analysis, and project documentation

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Showing results 1-20

Junior Data Analytics Engineer information

See Raleigh, NC salary details

$32.6K

$69.8K

$106.4K

How much do junior data analytics engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for junior data analytics engineer in Raleigh, NC is $69,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $77,800.00 per year, depending on experience, location, and employer.

Is junior data analyst entry-level?

Yes, a junior data analyst position is typically considered entry-level, suitable for candidates with limited professional experience or recent graduates. It often involves basic data collection, cleaning, and analysis using tools like Excel or SQL, with opportunities to develop skills and advance in the field.

What is a Junior Data Analytics Engineer?

A Junior Data Analytics Engineer is an entry-level professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with data pipelines, databases, and analytical tools to support senior data engineers and analysts. Their responsibilities often include cleaning data, writing basic queries, and creating simple reports or dashboards. This role serves as a foundation for more advanced positions in data engineering and analytics.

Is 40 too late for data science?

Age is not a barrier to becoming a Junior Data Analytics Engineer or entering data science. Many professionals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like SQL and Python, often through online courses or certifications. Employers value skills and experience over age, and continuous learning can help you start or advance in data-related careers at any age.

What are the key skills and qualifications needed to thrive as a Junior Data Analytics Engineer, and why are they important?

To thrive as a Junior Data Analytics Engineer, you need a solid understanding of data analysis, statistics, and programming languages such as Python or SQL, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau, Power BI), database management systems, and cloud platforms is commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These abilities are crucial for accurately analyzing data, translating findings into actionable insights, and enabling data-driven decision-making within organizations.

What are the most common challenges faced by a Junior Data Analytics Engineer when transitioning from academic projects to real-world business data?

One of the most common challenges for Junior Data Analytics Engineers is adapting to the complexities of real-world data, which is often incomplete, inconsistent, or unstructured compared to clean academic datasets. Additionally, there is a stronger emphasis on collaboration with cross-functional teams and communicating findings to non-technical stakeholders. Learning to balance technical analysis with business objectives, and managing multiple tasks or project deadlines, are also typical hurdles. Overcoming these challenges helps junior engineers grow quickly and become valuable contributors to their teams.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Junior data analytics engineers often develop and maintain these tools, and their skills in understanding business context and communicating findings remain essential despite automation advances.

What is the difference between Junior Data Analytics Engineer vs Data Analyst?

AspectJunior Data Analytics EngineerData Analyst
Required SkillsBasic programming, data modeling, SQL, data pipeline understandingData visualization, statistical analysis, Excel, SQL
Work EnvironmentCollaborates with data engineers and developers, often in tech or finance sectorsWorks with business teams to interpret data, in various industries
CertificationsSQL, Python, entry-level data certificationsExcel, Tableau, Power BI certifications

Junior Data Analytics Engineers focus on building data pipelines and integrating data systems, requiring programming skills. Data Analysts primarily interpret data through visualization and statistical methods. Both roles often overlap but serve different core functions within data teams.

What engineers make $500,000?

Senior data engineers and specialized software engineers with extensive experience, advanced skills in cloud platforms, and certifications can earn $500,000 or more annually. High compensation often depends on the industry, location, company size, and individual expertise in tools like SQL, Python, and data pipeline management.
What are the most commonly searched types of Data Analytics Engineer jobs in Raleigh, NC? The most popular types of Data Analytics Engineer jobs in Raleigh, NC are:
What are popular job titles related to Junior Data Analytics Engineer jobs in Raleigh, NC? For Junior Data Analytics Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Junior Data Analytics Engineer jobs in Raleigh, NC look for? The top searched job categories for Junior Data Analytics Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Junior Data Analytics Engineer jobs? Cities near Raleigh, NC with the most Junior Data Analytics Engineer job openings:
Infographic showing various Junior Data Analytics Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $69,795 per year, or $33.6 per hour.
Workforce Data & Analytics Senior Manager

Workforce Data & Analytics Senior Manager

Deloitte

Raleigh, NC

Other

Posted 14 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Recruiting for this role ends on 5/30/2026.

Work you'll do

As a Workforce Data & Analytics Senior Manager on the HR Strategy & Technology team, you will be responsible for leading people analytics engagements that help clients translate workforce data into business decisions across work, workforce, and workplace priorities.

  • Lead delivery of people analytics engagements, including project planning, resource allocation, budget tracking, risk management, and execution against client objectives and timelines.
  • Manage global and cross-functional teams in the design and delivery of data engineering, analytics, dashboarding, visualization, and modeling solutions across Human Capital Management and enterprise business intelligence platforms.
  • Advise clients on people analytics strategy, operating model, roadmap, use cases, and user stories by conducting discovery, defining business questions, and translating findings into actionable recommendations.
  • Oversee data architecture, data pipelines, data quality remediation, privacy considerations, and deployment activities to support analytics and artificial intelligence use cases involving employee data.
  • Support client relationship management and business development activities, including presenting insights and recommendations, identifying analytics-led opportunities, and contributing to proposals and pursuits.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 8+ years of experience in management consulting or in a consultative analytics role
  • 8+ years of experience managing teams of 15+ professionals
  • 8+ years of experience performing data engineering and data analysis using Structured Query Language (SQL), R, and Python
  • 8+ years of experience working with data warehouses and data lakes, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Databricks, or Snowflake
  • 8+ years of experience building dashboards and reporting solutions using business intelligence tools or people analytics platforms, including Tableau, Power BI, Qlik, Visier, or OneModel
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Engineering, or a related field
  • Experience leading at least 2 initiatives in which artificial intelligence or machine learning methods were designed or implemented for people analytics or workforce use cases
  • Experience facilitating at least 3 meetings, presentations, or workshops with cross-functional or global stakeholder groups on complex topics
  • Experience managing at least 2 data- or technology-enabled projects through the full project lifecycle, including budget, timeline, deliverable, and stakeholder management
  • Experience presenting findings from technical projects to Human Resources leadership or executive audiences at least 2 times, resulting in a defined business action, strategy, or policy change
  • Experience mapping, designing, or evaluating people analytics data and technology workflows for at least 1 organization or major initiative

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Recruiting for this role ends on 5/30/2026.

Work you'll do

As a Workforce Data & Analytics Senior Manager on the HR Strategy & Technology team, you will be responsible for leading people analytics engagements that help clients translate workforce data into business decisions across work, workforce, and workplace priorities.

  • Lead delivery of people analytics engagements, including project planning, resource allocation, budget tracking, risk management, and execution against client objectives and timelines.
  • Manage global and cross-functional teams in the design and delivery of data engineering, analytics, dashboarding, visualization, and modeling solutions across Human Capital Management and enterprise business intelligence platforms.
  • Advise clients on people analytics strategy, operating model, roadmap, use cases, and user stories by conducting discovery, defining business questions, and translating findings into actionable recommendations.
  • Oversee data architecture, data pipelines, data quality remediation, privacy considerations, and deployment activities to support analytics and artificial intelligence use cases involving employee data.
  • Support client relationship management and business development activities, including presenting insights and recommendations, identifying analytics-led opportunities, and contributing to proposals and pursuits.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 8+ years of experience in management consulting or in a consultative analytics role
  • 8+ years of experience managing teams of 15+ professionals
  • 8+ years of experience performing data engineering and data analysis using Structured Query Language (SQL), R, and Python
  • 8+ years of experience working with data warehouses and data lakes, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Databricks, or Snowflake
  • 8+ years of experience building dashboards and reporting solutions using business intelligence tools or people analytics platforms, including Tableau, Power BI, Qlik, Visier, or OneModel
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Engineering, or a related field
  • Experience leading at least 2 initiatives in which artificial intelligence or machine learning methods were designed or implemented for people analytics or workforce use cases
  • Experience facilitating at least 3 meetings, presentations, or workshops with cross-functional or global stakeholder groups on complex topics
  • Experience managing at least 2 data- or technology-enabled projects through the full project lifecycle, including budget, timeline, deliverable, and stakeholder management
  • Experience presenting findings from technical projects to Human Resources leadership or executive audiences at least 2 times, resulting in a defined business action, strategy, or policy change
  • Experience mapping, designing, or evaluating people analytics data and technology workflows for at least 1 organization or major initiative

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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