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Manager Data Analytics Engineer Jobs in Savannah, GA

DPDHL

Business Data Analyst II

Rincon, GA · On-site

$55K - $90K/yr

If you're a curious, self-driven problem solver with a passion for analytics, innovation, and ... Ability to leverage data from various systems that support our operations (Warehouse Management ...

DHL

Business Data Analyst II

Rincon, GA · On-site

$55K - $90K/yr

If you're a curious, self-driven problem solver with a passion for analytics, innovation, and ... Ability to leverage data from various systems that support our operations (Warehouse Management ...

Tessera

Data Analyst I

Fort Stewart, GA · On-site

$69K/yr

... managed facilities at Fort Stewart and HAAF * Develop predictive indicators and models to ... Provide cost, schedule, and risk analysis to support planning and programming decisions. * Collect ...

New

Carroll Daniel

DATA CENTER PROJECT MANAGER

Savannah, GA · On-site

$112K/yr

Analyze change proposals from subcontractors before submittal to the owner for accuracy, delay ... EDUCATION & EXPERIENCE * BS in Construction Management, Engineering, or related field plus 4 to 6 ...

Actalent

Quality Engineer

Pooler, GA · On-site

$65K - $84K/yr

Analyze quality and process data to reduce non-conformances, improve yield, and streamline ... Track, analyze, and report quality metrics, and manage Quality Notifications (QNs) from initiation ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Savannah, GA

Manager Data Analytics Engineer information

See Savannah, GA salary details

$41.4K

$120.8K

$165.3K

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

As of Aug 22, 2026, the average yearly pay for manager data analytics engineer in Savannah, GA is $120,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Savannah, GA?

The most popular types of Data Analytics Engineer jobs in Savannah, GA are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Savannah, GA?

For Manager Data Analytics Engineer jobs in Savannah, GA, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Savannah, GA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Savannah, GA are:

What cities near Savannah, GA are hiring for Manager Data Analytics Engineer jobs?

Cities near Savannah, GA with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you

Business Data Analyst II

DPDHL

Rincon, GA • On-site

$55K - $90K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago

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.

Employment Type: FULL_TIME

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