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Data Engineer Data Analyst Jobs in Beaufort, SC (NOW HIRING)

DHL

Business Data Analyst II

Rincon, GA · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 ...

DPDHL

Business Data Analyst II

Rincon, GA · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 ...

GHD

Senior Geotechnical Engineer

Bluffton, SC

Data Collection and Analysis: Conduct research using primary data sources, and select information ... Engineering Solutions Design: Contribute to the design of engineering solutions; design the ...

GHD Group

Senior Geotechnical Engineer

Bluffton, SC · On-site

Data Collection and Analysis: Conduct research using primary data sources, and select information ... Engineering Solutions Design: Contribute to the design of engineering solutions; design the ...

Beaufort County, SC

Traffic Engineer

Beaufort, SC · On-site

$93K - $111K/yr

Engineering Opening Date: 10/09/2025 Closing Date: Continuous FLSA: Exempt Max Number of Applicants ... Key responsibilities include conducting traffic studies, analyzing data, designing traffic control ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Beaufort, SC

Data Engineer Data Analyst information

See Beaufort, SC salary details

$31K

$75.2K

$123.8K

How much do data engineer data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer data analyst in Beaufort, SC is $75,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Beaufort, SC?

For Data Engineer Data Analyst jobs in Beaufort, SC, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Beaufort, SC look for?

The top searched job categories for Data Engineer Data Analyst jobs in Beaufort, SC are:

What cities near Beaufort, SC are hiring for Data Engineer Data Analyst jobs?

Cities near Beaufort, SC with the most Data Engineer Data Analyst job openings:

Data Engineer Data Analyst jobs near you

Business Data Analyst II

DHL

Rincon, GA • On-site

$55K - $90K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 20 days ago

DHL rating

6.9

Company rating: 6.9 out of 10

Based on 325 frontline employees who took The Breakroom Quiz

35th of 64 rated delivery companies

Job description

The Business Data Analyst II role has a national salary range of $55,000 - $90,000.
For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 - $90,000 and Colorado 57,500 - $90,000.
DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy.
Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we're looking for a Business Data Analyst II who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact-this role is for you!
Job Description
As a Business Data Analyst II, you will play a key role in transforming operational data into strategic insights that improve performance, reduce costs, and enhance service levels. You'll collaborate with site leadership and key stakeholders across operations to develop models, dashboards, and reports that guide decision-making and drive continuous improvement.
Responsibilities
  • Develop and maintain Power BI reports to support operational and strategic decisions
  • Full development of Power BI including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
  • Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction
  • Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
  • Translate complex data into clear, actionable insights through presentations and reports for internal and customer use
  • Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.)

Required Experience
  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 0-2 years of experience in data analytics, business intelligence, or a related field, required
  • Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred
  • Proficiency in Power BI, including building dashboards and reports, required
  • Experience writing DAX expressions to automate and enhance Power BI reports, preferred
  • Familiarity with statistical concepts and data modeling techniques, preferred
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred
  • Must be able to work fully onsite if role based out of a warehouse, required

Our Organization is an equal opportunity employer.

What DHL employees say

Pay

Benefits

Hours and flexibility

Workplace

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About DHL

Sourced by ZipRecruiter

When Adrian Dalsey, Larry Hillblom and Robert Lynn founded DHL in 1969, they didn’t know they would revolutionize the world of logistics. Today, DHL is the world’s leading logistics company. Our 600,000 people in over 220 countries and territories work every day to help you cross borders, reach new markets and grow your business. Or simply send a letter to your loved ones.

Industry

Transportation and warehousing and personal services

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

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