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Data Analytics Jobs in Canton, GA (NOW HIRING)

Bachelor's degree in data analytics, statistics, information systems, public administration, or related field * 3-5+ years of experience in data analysis, reporting, or program evaluation * Strong ...

Commercial Analytics * Partner with Client Services and Sales to provide analytical support for ... Data Management & Reporting * Build, validate, and optimize target lists while ensuring data ...

... performs data analytics for informed decision making, dashboards, report generation and overall project support. This role supports and contributes to organizational success by supporting the ...

You'll work closely with stakeholders to understand their analytics needs and provide solutions ... Conduct data analysis to identify trends, patterns, and insights that inform business strategies

You'll work closely with stakeholders to understand their analytics needs and provide solutions ... Conduct data analysis to identify trends, patterns, and insights that inform business strategies

You'll work closely with stakeholders to understand their analytics needs and provide solutions ... Conduct data analysis to identify trends, patterns, and insights that inform business strategies

Master's degree in Data Analytics, Statistics, Computer Science, or a related field, or equivalent work experience. * Minimum of 3+ years of hands-on accounting experience, including journal entries ...

Data Strategy Development: * Define and implement the organization's data analytics strategy aligned with business goals. * Identify and prioritize key analytics projects to optimize decision-making ...

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Data Analytics information

See Canton, GA salary details

$23

$51

$89

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Canton, GA is $51.69, according to ZipRecruiter salary data. Most workers in this role earn between $41.54 and $58.56 per hour, depending on experience, location, and employer.

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, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

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.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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.

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.

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 are the most commonly searched types of Data Analytics jobs in Canton, GA? The most popular types of Data Analytics jobs in Canton, GA are:
What job categories do people searching Data Analytics jobs in Canton, GA look for? The top searched job categories for Data Analytics jobs in Canton, GA are:
What cities near Canton, GA are hiring for Data Analytics jobs? Cities near Canton, GA with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Canton, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,517 per year, or $51.7 per hour.

Pricing- Manager, Data & Analytics, Business & Operations

BlueLinx Corporation

Marietta, GA • On-site

Full-time

Posted 25 days ago


BlueLinx rating

5.4

Company rating: 5.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

383rd of 412 rated retail wholesalers


Job description

Position Purpose Summary:
The Senior Data Manager (Pricing) is a hands-on data science leader who partners with the Pricing organization to drive margin expansion, visibility, and decisioning through analytics products. This role functions as the primary data science and BI leader supporting pricing workflows, including dashboards, performance reporting, and scalable analytics tools. The Senior Data Manager leads by influence across stakeholders, establishes analytic standards, and ensures pricing teams have reliable, actionable insights-especially through Power BI solutions and Python-based data pipelines.
Key Tasks/Responsibilities:
Analytics Leadership & Functional Management:
  • Serve as the functional analytics leader for the Pricing department, translating pricing priorities into a scalable analytics roadmap and delivery plan.
  • Establish standards for metric definitions (e.g., margin, price realization, overrides), dashboard governance, and reporting cadence across Pricing stakeholders.
  • Lead cross-functional collaboration with Pricing, Category, Sales leadership, and IT/data teams to prioritize, deliver, and sustain analytics products

Power BI & Dashboard Development:
  • Design, build, and maintain enterprise-grade Power BI dashboards for pricing performance, margin trends, and operational tracking (e.g., progress monitoring, completion status, exception visibility).
  • Create semantic models and governed datasets to ensure consistency of insights and reduce report sprawl; improve usability and self-service for pricing stakeholders.
  • Partner with stakeholders to define KPIs, build executive-ready views, and evolve dashboards based on field feedback and adoption.

Data Science & Python Enablement:
  • Use Python to develop repeatable analytics workflows (data preparation, modeling, anomaly detection, forecasting, and performance monitoring) that support pricing strategy and governance.
  • Build automated pipelines and analysis templates to reduce manual work and improve timeliness/accuracy of pricing insights.
  • Apply statistical and analytical techniques to uncover margin leakage drivers and identify actionable opportunities for pricing and category teams

Data Quality & Enablement:
  • Improve data integrity and usability by partnering with master data and business teams on product attributes and category structures needed for pricing segmentation and maintenance
  • Support data cleanup initiatives by designing tracking and reporting mechanisms

Tooling, Scalability, & Pricing Platform Support:
  • Support evaluation and enablement of pricing platforms and analytics integration, ensuring pricing data can be consumed effectively via BI tools (including Power BI) and analytics layers.
  • Develop repeatable reporting packages for leadership and business reviews; ensure metrics align to Pricing profitability goals and strategic initiatives

Knowledge/Skills/Abilities:
  • Advanced experience in Power BI (data modeling, DAX, semantic layer design, performance tuning)
  • Strong proficiency in Python for analytics and automation (e.g., pandas, numpy, notebooks, productionizing workflows)
  • Proven ability to lead cross-functional work through influence (functional management), driving standards and adoption
  • Strong communication skills with the ability to translate technical findings into business actions
  • Experience supporting Pricing, Revenue Management, or Commercial Analytics organizations in a multi-branch/multi-region environment
  • Experience building dashboards and tracking mechanisms for operational processes and data completeness initiatives
  • Familiarity with pricing governance concepts (overrides, discounting controls, margin leakage visibility)
  • Experience integrating analytics with enterprise systems and/or pricing platforms; exposure to BI tool interoperability expectations

What BlueLinx employees say

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