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Manager Data Analytics Engineer Jobs in Elgin, SC

Unum UK

Data Scientist II - CX Analytics

Columbia, SC · On-site +1

Programming & Process automation: Experience with file I/O, database integrations, and APIs to ... Viewed as a promoter of change management and leads proof of concept work and prototyping when ...

Pwc

CTIO AI Engineering Manager

Columbia, SC

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

DP Professionals Inc

Support Desk Data Analyst

Columbia, SC · On-site

$16.75 - $22.75/hr

DPP is seeking a Support Desk Data Analyst to provide engineering and steady state technical ... Previous experience with System Center Service Manager (SCSM). * Previous experience with Cireson ...

Pwc

Kinaxis Solutions Architect, Manager

Columbia, SC · On-site

$99K - $232K/yr

... Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science - Demonstrating proficiency in Supply Chain Management Software - Excelling in ...

Ourhrconnect

Data Scientist

Columbia, SC · On-site

Work closely with clients, data stewards, project managers, and Information Systems teams to turn ... Strong programming, analytical, and problem-solving skills. * Knowledge of statistical techniques ...

Pwc

US Tech - AI Engineering Manager

Columbia, SC · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Elgin, SC

Manager Data Analytics Engineer information

See Elgin, SC salary details

$39.8K

$116K

$158.8K

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

As of Aug 19, 2026, the average yearly pay for manager data analytics engineer in Elgin, SC is $116,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $123,000.00 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 cities near Elgin, SC are hiring for Manager Data Analytics Engineer jobs?

Cities near Elgin, SC with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Elgin, SC as of July 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $116,020 per year, or $55.8 per hour.

Specialist, Field Monitoring - Technical Field Data

Scout Motors Inc.

Blythewood, SC • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
Scout Motors Inc. is a company dedicated to reviving an iconic American vehicle brand with a focus on innovation and quality. The Field Monitoring Quality Specialist will analyze vehicle and field data to identify issues impacting customer experience and vehicle performance, collaborating closely with engineering teams to enhance product quality and customer trust.
Responsibilities:
• Serve as a VoC quality expert, ensuring timely and accurate feedback loops into engineering
• Design and implement customer surveys and feedback frameworks to assess product satisfaction
• Analyze large volumes of unstructured data (social media, web forums, call center logs, customer verbatims) to identify key customer pain points and trends
• Support end-to-end root cause analysis (RCA) of customer issues across full vehicle systems, including powertrain, high-voltage battery, and connected features
• Identify patterns in fleet data to enable early detection of emerging quality issues
• Drive faster resolution through data-driven insights and cross-functional collaboration
• Define and implement strategies for collecting, organizing, and analyzing large-scale connected vehicle data
• Partner with engineering teams to establish vehicle data policies, signal strategies, and telemetry requirements
• Perform advanced data analysis to correlate vehicle behavior, software versions, and customer-reported issues
• Develop and deploy AI/ML models for: Anomaly detection, Failure prediction, Sentiment analysis
• Leverage analytics to improve customer satisfaction, reliability, and warranty performance
• Act as the bridge between software-defined vehicle data policies and real-world engineering insights
• Ensure data pipelines are robust, accurate, and actionable
• Enable a VIN-level (Vehicle 360) view for comprehensive lifecycle traceability
• Work closely with: Vehicle engineering (hardware & software), Connected vehicle and app development teams, Service, warranty, and customer support organizations
• Enhance data collection capabilities, user interfaces, and reporting standards across systems
Qualifications:
Required:
• A bachelor’s degree in engineering, computer science and/or data science.
• 5+ years in an environment related to technical data processing, preferably within a vehicle manufacturer or supplier environment.
• Experience in automotive engineering, quality, or field issue analysis, ideally in EV or connected vehicle environments.
• Hands-on experience with data analytics tools and large datasets (e.g., Databricks, SQL, Python, cloud platforms).
• Experience in running Java Script, Python, SQL, HTML/CSS.
• Experience in deploying AI-based solutions and tools for data processing.
• Ability to build full-scale AI-powered products from scratch using available open AI.
• Familiarity with AI/ML concepts and applications in anomaly detection or predictive analytics.
• Understand data warehouse systems like Basic AWS or Azure data services or Databricks.
• Strong understanding of vehicle systems (powertrain, battery, diagnostics, telematics).
• Ability to work across functions and translate data insights into engineering actions.
• Experience working with customer feedback systems and VoC analytics.
• Experience with PBI and PowerApps, building app own-made solutions for data analytics.
• Strong interpersonal skills, with experience working in multicultural and team-oriented environments.
Company:
Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. Founded in 2022, the company is headquartered in Washington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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