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Data Analytics Jobs in Hickory, NC (NOW HIRING)

FEMA

Local Hire (Data Analysis Specialist)

Hickory, NC · On-site

In this position, you will work with senior management to provide efficient analytical reviews for ... Developing specific program planning data that incorporates cost by researching and validating ...

US Conec, Ltd.

Data Scientist - Metrology

Hickory, NC · On-site

Overview US Conec is seeking a Data Analyst I to support data-driven decision-making across research, engineering, and operational teams. In this role, you will collect, analyze, and visualize data ...

US Conec, Ltd.

Operations Data Analyst

Hickory, NC · On-site

Bachelor's degree in Business, Supply Chain Management, Operations Management, Industrial Engineering, Data Analytics, Information Systems, or a related field; or equivalent combination of education ...

US Conec, Ltd.

Operations Data Analyst

Hickory, NC · On-site

Bachelor's degree in Business, Supply Chain Management, Operations Management, Industrial Engineering, Data Analytics, Information Systems, or a related field; or equivalent combination of education ...

Socket.dev

Operations Data Analyst

Hickory, NC · On-site

$75 - $110/hr

Bachelor's degree in Business, Supply Chain Management, Operations Management, Industrial Engineering, Data Analytics, Information Systems, or a related field; or equivalent combination of education ...

New

US Conec, Ltd.

Data Scientist - Metrology

Hickory, NC · On-site

Overview US Conec is seeking a Data Analyst I to support data-driven decision-making across research, engineering, and operational teams. In this role, you will collect, analyze, and visualize data ...

Coface

Regional Data Strategy Manager

Crouse, NC · Hybrid

Analyze and identify new potential data sources for the market (both alternative and traditional) * Conduct competitive assessments * Define data roadmaps for countries based on their specific needs

Devoteam

Data & AWS DevSecOps (100% Remote)

Alexis, NC · On-site +1

$59.75 - $76.75/hr

Analyzing and estimating new requirements , particularly those related to data platform components and data products. * Advising on the Data reference architecture and validating architectures ...

ABB

Process Intelligence & Analytics Specialist

Dallas, NC · Hybrid

$81K - $103K/yr

Build and maintain robust process semantics and data foundations to enable scalable, reusable ... We don't just analyze processes; we actively shape and improve them. In our team, curiosity ...

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Data Analytics information

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$49

$84

How much do data analytics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data analytics in Hickory, NC is $49.02, according to ZipRecruiter salary data. Most workers in this role earn between $39.38 and $55.53 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Hickory, NC?

The most popular types of Data Analytics jobs in Hickory, NC are:

What job categories do people searching Data Analytics jobs in Hickory, NC look for?

The top searched job categories for Data Analytics jobs in Hickory, NC are:

What cities near Hickory, NC are hiring for Data Analytics jobs?

Cities near Hickory, NC with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Hickory, NC as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $101,954 per year, or $49 per hour.

Senior Data Science/ Analytics Consultant

Transportation Insight

Hickory, NC • On-site

Other

Posted 5 days ago

Key responsibilities

  • Act as a cross functional consultant on data science and data analytics efforts across the enterprise.

  • Identify appropriate analytical tools and methods, perform quantitative analyses and predictive modeling, and communicate results to business partners.

  • Lead strategy development for data and analytics products to ensure organization-wide adoption.

Transportation Insight rating

7.3

Company rating: 7.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Position:Senior Data Science/ Analytics Consultant

Location: Hickory, NC or Kansas City, MO

Job Id:46SDS

# of Openings:1

Job Title: Senior Data Science/Analytics Consultant

JOB PURPOSE:

The Senior Data Science/Analytics Consultant is responsible for the full stack of data analytics, from querying or procuring data, cleaning data, feature generation, problem formulation, error/success metric choice, machine learning/predictive model building, and translation of results into business action. This role will help advanced Transportation Insight’s data strategy and data-related business decision making. The Sr. Consultant will be expected to wear multiple hats, seek out new opportunities from the business and apply technology to solve a variety of data problems across our organization.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Act as a cross functional consultant on data science, data analytics related efforts that span the enterprise.
  • Identifies appropriate analytical tools and methods; uses advanced knowledge of business analysis to perform quantitative analyses and predictive modeling
  • Be able to communicate and explain the results of more technical analyses to business partners in a digestible, visual fashion
  • Lead strategy development for data and analytics products to ensure the program becomes pervasive throughout the organization.
  • Develop a high performing team focused on building strong analytical, data strategy, research and business skill sets while sustaining leading employee engagement and retention.
  • Be a stakeholder in developing and maturing the Data Science strategy
PERFORMANCE METRICS:
  • Deliver solutions according to the delivery schedule
  • Design and architect complete end-to-end DS solutions
  • Continuous improvement on predictive and machine learning models
  • Conform to industry standards for quality and effective data visualization and reporting
JOB REQUIREMENTS:
  • Qualified applicants should have a Bachelor’s degree in Computer Science, Information Science or related field; equivalent work experience and aptitude is acceptable in place of degree
  • Experienced with Data Science practices and tools, such as Alteryx, R, Python, Gurobi
  • Familiar with 3PL business and supply chain concepts
  • Experience with ETL design and data warehousing concepts
  • 5+ years with reporting / analytic tools such as Tableau or Cognos
  • Experience withOracle, MySQL and/or MS SQL Server and SQL query language required
  • Experience with CRM tools like Salesforce
  • Possess excellent communication and presentation skills required
  • Strong Work Ethic
**MAY PERFORM OTHER DUTIES AS ASSIGNED** WORK ENVIRONMENT:

Standard office environment, usually indoors away from the elements with moderate noise. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

PHYSICAL EFFORT:

  • Maintain a stationary position for extended periods; move about the office, operate computers and files, as needed; and frequently communicate with others. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sit and talk or hear. The employee is required to stand, walk, and reach with hands and arms.Occasionally, the employee is required to lift boxes up to 20 pounds.
SCHEDULING:
  • This is a full-time benefits-eligible position, working Monday through Friday; 8:00 a.m. – 5:00 p.m. An employee in this position must be available to work occasionally on weekends and evenings, during peak periods.
TRAVEL:
  • Local travel is required. Out of state travel is limited, but may be required for special projects , training, and conferences.
DISCLAIMER:

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required.

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