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Data Analytics Manager Jobs in Lexington, SC (NOW HIRING)

Ensure department standards for data are adhered to in constructing data management programs and ... Data warehousing or analytics integration (Redshift, QuickSight, Glue). Why Should I Apply? This ...

Cloud Database Analyst

Columbia, SC · On-site

$61.85/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Ensure department standards for data are adhered to in constructing data management programs and ... Data warehousing or analytics integration (Redshift, QuickSight, Glue). Why Should I Apply? This ...

Data Scientist II - CX Analytics

Columbia, SC · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience ... Efficiently interpret results and communicate findings and potential value to influence manager and ...

Sr. Data Engineer - CX Analytics

Columbia, SC · Remote

$105K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Senior Data Engineer to join the CX Analytics team within our Customer Experience ... Responds quickly and positively to change and is viewed as a promoter of change management.

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 ...

Data Scientist

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate and analyze large, varied datasets and communicate results of large scale analytics ... Work closely with clients, data stewards, project managers, and Information Systems teams to turn ...

Data Entry Specialist

Columbia, SC · On-site

$14 - $18.50/hr

... analysis. What You'll Do • Process client information, forms, and data accurately and within ... CRM documentation • Generate and review reports in EXCEL related to client activity and ...

Data Entry Specialist

Columbia, SC · On-site

$14 - $18.50/hr

... analysis. What You'll Do • Process client information, forms, and data accurately and within ... CRM documentation • Generate and review reports in EXCEL related to client activity and ...

Showing results 41-60

Data Analytics Manager information

See Lexington, SC salary details

$26.5K

$83.2K

$147.2K

How much do data analytics manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analytics manager in Lexington, SC is $83,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $107,400.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Lexington, SC?

The most popular types of Data Analytics jobs in Lexington, SC are:

What are popular job titles related to Data Analytics Manager jobs in Lexington, SC?

For Data Analytics Manager jobs in Lexington, SC, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Lexington, SC look for?

The top searched job categories for Data Analytics Manager jobs in Lexington, SC are:

What cities near Lexington, SC are hiring for Data Analytics Manager jobs?

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

Jr. Data Scientist - (Canada-based)

Artefact

North, SC

Full-time

Re-posted 29 days ago


Job description

About the job

Do you think like a management consultant, thrive in a startup environment, and can't stop thinking about the intersection of data, technology, and marketing?

With over 2000 employees, offices on five continents, and world-class clients like Samsung, L'Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We've recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team!

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we're also growing in parallel.

We have 2000 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

In addition to the core Data Science and ML Engineering Team, you will work with different stakeholders to:

  • Translate marketing and business challenges into analytical use cases, assess feasibility, and define clear hypotheses.
  • Develop statistical and machine learning models including regression, forecasting, classification, and clustering to identify performance drivers and predict business outcomes.
  • Build and maintain scalable data pipelines for data ingestion, transformation, and quality assurance across diverse marketing data sources.
  • Develop production ready modeling solutions including model training, deployment, monitoring, and ongoing refinement.
  • Evaluate and select appropriate statistical and machine learning techniques based on business context, constraints, and data availability.
  • Create clear and compelling data visualizations and dashboards to support data storytelling and decision making.
  • Collaborate with cross functional partners in an agile environment and iterate on solutions to maximize business impact.

What we are looking for 

  • The ideal candidate has a substantial quantitative skill set with 5+ years of relevant experience. 
  • Master's degree (or higher) in statistics/mathematics, engineering, computer science, economics, or a related field.
  • Excellent interpersonal and communication skills
  • Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms
  • Proficient in Python (preferred) and/or R

Preferred: 

  • Financial sector experience. 
  • Preference in Causal Inference topics, Time Series, Advanced Statistics
  • Cloud technologies (GCP, Azure, AWS) especially Google Cloud Platform

Why you should join us

  • We are united by our values and strengthened by our hybrid expertise.
  • There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
  • Client trust is won on the field: Addressing client needs flows better hands on at their side.
  • If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
  • If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
  • We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.