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Data Analyst Jobs in Fort Mill, SC (NOW HIRING)

DATAECONOMY Inc

Data Analyst

Charlotte, NC · On-site

$75 - $110/hr

Data Analyst Charlotte, NC Full-time Insurance Domain Analytics & Reporting * Turn business questions from underwriting, claims, actuarial, and finance teams into well-structured analyses and ...

J.M. Huber Corporation

Data Analyst

Charlotte, NC · On-site

$70 - $90/hr

Data Analyst Location: Charlotte, NC, US Company: JM Huber Corporation Huber Engineered Woods (HEW), a division of J.M. Huber Corporation, combines its advanced adhesives and wood product ...

CapTech Consulting

Data Analyst

Charlotte, NC

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver innovative solutions to our clients. At the intersection of data and strategy, Data Analysts play a ...

BizTech Staffing

Data Analyst

Charlotte, NC · On-site

The Data Analyst serves as a consultative partner to internal teams and clients, using structured discovery and analytical judgment to identify the underlying business need rather than simply ...

Jobsultant Solutions

Data Analyst

Charlotte, NC

Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages ...

JM Huber Corporation

Data Analyst

Charlotte, NC · On-site

To learn more, please visit our website at www.huberwood.com Position Summary As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy intersect to ...

CapTech Consulting

Data Analyst

Charlotte, NC · On-site

CapTech's Data Analysts work within a collaborative, team environment to help define and deliver innovative solutions to our clients. At the intersection of data and strategy, Data Analysts play a ...

JM Huber Corporation

Data Analyst

Charlotte, NC

Position Summary As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy intersect to drive meaningful outcomes. This role is designed for a self ...

JM Huber Corporation

Data Analyst

Charlotte, NC · On-site

Position Summary As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy intersect to drive meaningful outcomes. This role is designed for a self ...

Huber

Data Analyst

Charlotte, NC · On-site

Position Summary As a Data Analyst, you will join a high-impact team where analytics, data modeling, and business strategy intersect to drive meaningful outcomes. This role is designed for a self ...

Themesoft, Inc.

Data Analyst

Charlotte, NC · On-site

Data Analyst- 222415-1 Location: CHARLOTTE-550 S Tryon St-144039 Hybrid either 4/1 or 3/2 onsite Interview Process: 30 minutes Teams and 2nd round must be in person- 1-1 1/2-hour panel Business Data ...

Polar IT Services

Data Analyst

Charlotte, NC · On-site +1

Job Title: Data Analyst Location: Charlotte, NC Mode Of Work: Hybrid It's a W2 role * Develop analytics reports in looker and power BI leveraging various data sources. * Use LLM's to build AI ...

Collabera LLC

Data Analyst

Charlotte, NC · On-site

Data Analyst/ Business Analyst - Process Automation & Reporting Location: Charlotte, NC 28202 Hybrid Schedule (2 day remote weekly) Duration: 6 months contract to start, potential to extend down the ...

Collabera

Data Analyst

Charlotte, NC · On-site

Data Analyst/ Business Analyst - Process Automation & Reporting Location: Charlotte, NC 28202 - Hybrid Schedule (2 day remote weekly) Duration: 6 months contract to start, potential to extend down ...

PSG Global Solutions

Data Analyst

Charlotte, NC · On-site

Data Analyst - Dashboard & Reporting Analyst Location: Charlotte, NC Duration: 6+ Months, Could extend This individual will be responsible for designing and creating Money in Motion dashboard and ...

360 IT Professionals

Data analyst

Charlotte, NC · On-site

Position Description We are searching for a professional experienced in Healthcare analytics with a wide and deep understanding of Healthcare data; with experience in clinical, financial and ...

IFab Corporation

Data Analyst

Gastonia, NC · On-site

Job Overview: The Data Analyst will enter data and prepare various reports using MicroSoft Office Suite. Key Responsibilities: * Retrieves source files and work from the data center each day.

Industrial Fabricators

Data Analyst

Gastonia, NC · On-site

Job Overview: The Data Analyst will enter data and prepare various reports using MicroSoft Office Suite. Key Responsibilities: * Retrieves source files and work from the data center each day.

Tihinsurance

Data Analyst

Charlotte, NC · On-site

Design, deploy and maintain scalable data pipelines and analytics solutions. * Ensure data quality is maintained through data governance process and regular monitoring. * Optimize APIM for ...

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All JobsData Analyst JobsData Analyst Jobs in Fort Mill, SC

Data Analyst information

See Fort Mill, SC salary details

$29.9K

$72.6K

$119.5K

How much do data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data analyst in Fort Mill, SC is $72,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $85,200.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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For Data Analyst jobs in Fort Mill, SC, the most frequently searched job titles are:

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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Fort Mill, SC as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,620 per year, or $34.9 per hour.

Data Analyst

Charlotte, NC • On-site

DATAECONOMY Inc
IT Services • 51 - 200 employees
Learn more about DATAECONOMY Incexternal

$75 - $110/hr

Other

Posted 6 days ago

Job description

Charlotte, United States | Posted on 06/04/2026

DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.

Data Analyst

Charlotte, NC

Full-time

Insurance Domain

Analytics & Reporting
  • Turn business questions from underwriting, claims, actuarial, and finance teams into well-structured analyses and repeatable reports.
  • Build and maintain dashboards and scorecards for KPIs such as loss ratio, combined ratio, premium growth, retention/lapse, and claims cycle time.
  • Perform exploratory analysis to surface trends, anomalies, and opportunities (e.g., emerging loss patterns, fraud indicators, leakage).
  • Document assumptions, definitions, and methodology so results are transparent and auditable.
Insurance Domain Analytics
  • Analyze policy, premium, claims, and billing data to support pricing, reserving, and portfolio management discussions.
  • Support loss-ratio, frequency/severity, and retention/churn analyses for P&C and/or L&A lines of business.
  • Partner with actuarial and underwriting teams to validate data and interpret results in business context.
Data Preparation & SQL
  • Write and optimize SQL to extract, join, and aggregate data from the lakehouse / data warehouse.
  • Profile, clean, and validate datasets; flag and help resolve data quality issues with engineering.
  • Build reusable, well-documented queries, views, and semantic-layer definitions.
Visualization & Stakeholder Enablement
  • Design clear, decision-oriented visualizations in Power BI / Tableau (or equivalent).
  • Translate analysis into concise narratives and recommendations for non-technical business stakeholders.
  • Enable self-service by documenting metrics and curating trusted data sources.
  • Strong SQL across cloud data warehouse / lakehouse environments (Databricks SQL, Snowflake, BigQuery, or similar).
  • BI/visualization tools Power BI and/or Tableau.
  • Spreadsheet modeling (Excel) for ad-hoc analysis.
  • Working knowledge of Python (pandas) for data wrangling is a plus.
Required Qualifications
  • 4–7+ years of experience in data analysis, business intelligence, or reporting.
  • Strong, demonstrable SQL skills (complex joins, window functions, aggregations, query tuning).
  • Proven experience building dashboards and reports in Power BI and/or Tableau.
  • Solid understanding of data modeling concepts (dimensional / star schema) from a consumer's perspective.
  • Ability to translate ambiguous business questions into structured analysis and clear deliverables.
  • Strong written and verbal communication with business stakeholders.
Preferred Skills
  • Insurance domain knowledge P&C and/or Life & Annuities; familiarity with premium, claims, and loss-ratio concepts.
  • Experience with cloud data platforms (Databricks, Snowflake, Azure/AWS/GCP).
  • Python (pandas) or R for analysis and automation.
  • Statistical analysis fundamentals and A/B or cohort analysis experience.
  • Exposure to data governance, metadata, and trusted-source / semantic-layer practices.
  • Awareness of PII/PHI handling and regulated-data sensitivity.
Requirements
  • Strong SQL complex joins, window functions, aggregation, query tuning
  • Power BI and/or Tableau dashboard and report development
  • Ability to translate business questions into structured analysis
  • Strong stakeholder communication and storytelling
  • 4–7+ years in data analysis / BI / reporting
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