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Data Bi Engineer Jobs in Greer, SC (NOW HIRING)

Data Scientist

Greenville, SC ยท On-site

$45 - $50/hr

Experience working with Data Engineers to ensure data requirements are correctly implemented at ... Analyze quality data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor ...

Data Scientist

Greenville, SC ยท On-site

$45.96 - $50.96/hr

Experience working with Data Engineers to ensure data requirements are correctly implemented at ... Analyze quality data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor ...

Manufacturing Engineer

Piedmont, SC

$66K - $85K/yr

... data-driven decision-making through the use of Enterprise Resource Planning (ERP) systems, Power BI ... Engineering, or equivalent combination of education and experience. - Knowledge of lean ...

Manufacturing Engineer

Piedmont, SC ยท On-site

$66K - $85K/yr

... data-driven decision-making through the use of Enterprise Resource Planning (ERP) systems, Power BI ... Engineering, or equivalent combination of education and experience. - Knowledge of lean ...

Industrial Engineer

Spartanburg, SC ยท On-site

$68K - $92K/yr

Microsoft Office Excel data analysis proficiency. Microsoft Power Bi a plus. #LI-HIRINGMICHELIN #LI ... Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make ...

Industrial Engineer

Spartanburg, SC ยท On-site

$68K - $92K/yr

Microsoft Office Excel data analysis proficiency. Microsoft Power Bi a plus. #LI-HIRINGMICHELIN #LI ... Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make ...

Showing results 21-40

Data Bi Engineer information

See Greer, SC salary details

$42.8K

$124.7K

$170.7K

How much do data bi engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data bi engineer in Greer, SC is $124,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

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

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.
What are popular job titles related to Data Bi Engineer jobs in Greer, SC? For Data Bi Engineer jobs in Greer, SC, the most frequently searched job titles are:
What job categories do people searching Data Bi Engineer jobs in Greer, SC look for? The top searched job categories for Data Bi Engineer jobs in Greer, SC are:
Infographic showing various Data Bi Engineer job openings in Greer, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,722 per year, or $60 per hour.

Manager, Analytics & Data Products

United Community Bank

Greenville, SC โ€ข On-site

$84K - $139K/yr

Full-time

Posted 16 days ago


Job description

Overview
United Community is seeking a Manager of Analytics & Data Products to own the analytics capability that leadership across the bank relies on to make decisions. You will lead the team responsible for turning our data platform into decision-ready products used every day, from the front line to the C-suite. This is both a leadership and a hands-on role: you will manage and mentor a team of analysts and developers while staying close enough to the work to set technical direction, review builds, and unblock complex problems.
Sitting within Enterprise Data, you will own our analytics and business intelligence layer end to end, from data models and semantic definitions through dashboards, self-service enablement, and embedded analytics. You will partner closely with business stakeholders to understand the problems behind their requests and deliver products that answer them. You will do this within the bank's data governance and security framework, partnering with our governance and data quality functions so that the analytics leadership relies on is accurate, consistent, and trustworthy
What You'll Do
  • Lead a team of analysts and developers, providing coaching, guidance, performance management, and career development.
  • Set technical direction for the analytics and BI layer, staying hands-on with development on highly visible, high-impact solutions.
  • Oversee the design and delivery of data models, dashboards, and analytics products that provide actionable, trustworthy insight to business stakeholders.
  • Own the semantic/metrics layer so that key business definitions are consistent, governed, and reusable across the organization.
  • Advance self-service analytics, enabling business partners to answer their own questions within a governed framework.
  • Deliver embedded analytics into the tools and applications where stakeholders already work.
  • Partner with the Director of Enterprise Data and Analytics to prioritize the roadmap, report status, and communicate tradeoffs.
  • Serve as the primary point of contact for third-party vendors, managing those relationships and holding partners accountable to delivery and quality expectations.
  • Facilitate discovery conversations with business partners that get past the initial request to the underlying business problem.
  • Ensure data products adhere to enterprise data governance and security standards, partnering with the governance and data quality functions.
  • Maintain documentation for processes, data products, and best practices.
  • Identify and define process-improvement and modernization opportunities across the analytics stack.

Requirements For Success
  • Bachelor's degree or above in a related field; master's preferred.
  • 7-10 years in business intelligence, analytics, data products, or a related field, including experience leading or mentoring others.
  • Required Skills:
    • Hands-on proficiency with enterprise BI and analytics platforms and SQL-based data sources. We work across a range of tools including Alteryx, Cognos, Tableau, Sigma, and Snowflake; deep experience with any of these, and the ability to work fluently across a mixed environment, is what matters most.
    • Strong SQL and a working understanding of dimensional modeling and semantic/metrics-layer design.
    • Experience working with large datasets and modern data warehousing concepts.
    • Excellent analytical and problem-solving ability.
    • Exceptional communication and presentation skills, with the ability to communicate effectively at every level of the enterprise, from analysts to the C-suite.
    • Ability to collaborate across cross-functional teams and translate ambiguous business needs into well-scoped analytics work.
  • Preferred Skills:
    • Experience delivering embedded analytics into third-party applications or portals.
    • Background in banking, financial services, or another regulated industry.
    • Experience managing third-party analytics vendor relationships.
    • Experience migrating or modernizing a legacy BI environment.

Conditions of Employment
  • Must be able to pass a criminal background & credit check
  • This is a full-time, non-remote position that requires schedule flexibility to work evenings and weekends as needed.

FLSA Status: Exempt
Ready to take your career to the next level? Apply now and become a vital part of our team!
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Pay Range
USD $84,136.00 - USD $139,486.00 /Yr.