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Data Analytics information

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$22

$51

$88

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Bluffton, SC is $51.00, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $57.79 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 job categories do people searching Data Analytics jobs in Bluffton, SC look for? The top searched job categories for Data Analytics jobs in Bluffton, SC are:
What cities near Bluffton, SC are hiring for Data Analytics jobs? Cities near Bluffton, SC with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Bluffton, SC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,090 per year, or $51 per hour.

Business Data Analyst I

Port City Logistics Inc

Port Wentworth, GA

Full-time

Posted 22 days ago

Job description

Description

Job Title: Front-End BI Analyst 

Role Overview

We are looking for a skilled and adaptable Front-End BI Analyst to join our IT leadership team during an exciting period of data transformation. As a Third-Party Logistics (3PL) provider, data is the lifeblood of our operational efficiency and customer satisfaction.

We are currently transitioning our primary operational and customer-facing dashboards from Power BI to Sigma Computing. In this role, you will be the driving force behind this migration, designing intuitive, high-performance dashboards while collaborating with business leaders and customers to translate complex 3PL data into actionable insights. You will work directly with data warehouses built on Snowflake and PostgreSQL, turning "silver layer" data into robust analytical datasets.

Key Responsibilities

BI Migration & Dashboard Development

  • Lead the Transition: Recreate, optimize, and enhance existing Power BI operational and customer dashboards within Sigma.
  • Front-End Design: Build intuitive, visually compelling, and high-performing dashboards in Sigma that allow both      internal teams and external customers to self-serve.
  • Data Modeling & Analytics: Query and transform "silver layer" data into clean, curated analytical datasets optimized for front-end reporting.

Stakeholder Collaboration & Product Ownership

  • Requirements Gathering: Partner with individual managers, directors, and external customers to define custom reporting      needs and translate them into technical specifications.
  • Metrics Standardization: Identify opportunities to standardize KPIs (e.g., on-time delivery, warehouse throughput, carrier      performance) across different customers to reduce custom tech debt.
  • Enablement: Act as a Sigma evangelist, training internal users on how to navigate and utilize the new platform.

Data Ecosystem Collaboration

  • Multi-Source Integration: Work seamlessly across our dual data warehouse environments:
    • Snowflake: Our internal data warehouse consolidating SaaS TMS and SQL Server WMS data.
    • PostgreSQL: A partner-developed warehouse dedicated to advanced transportation and logistics modeling initiatives.
  • Data Governance: Collaborate with internal and external data engineering teams to ensure data lineage, accuracy, and      performance tuning at the BI layer.
  • Data Reconciliation & Validation at Scale: Systematically validate large-scale "Gold" and "Platinum" layer datasets built by our external development partner within PostgreSQL.
  • Data Lineage & Gap Analysis: Utilize advanced data tracing techniques to map data from target dashboards back to the raw      source data (SaaS TMS and SQL Server WMS).
  • Error Detection & Auditing: Design and execute validation methodologies to proactively identify aggregation errors, logical flaws, and faulty assumptions made during the data modeling process before they impact customer-facing reports.

Qualifications & Skills

Required Experience

  • Experience: 4+ years of experience in Business Intelligence, Data Analytics, or a front-end data developer role.
  • BI Tool Expertise: Proven experience building dashboards in both Power BI and Sigma Computing. 
  • Advanced SQL: Strong ability to write complex, performant SQL queries to manipulate data from Snowflake and PostgreSQL.
  • Data Warehouse Familiarity: Experience working with modern cloud data platforms (Snowflake preferred) and relational databases (Postgres/SQL Server).
  • Data Layer Understanding: Comfort working with Medallion architecture, specifically transforming silver layer data into      Gold/analytical presentation layers.
  • Data Auditing Techniques: Proven experience in data reconciliation, data quality assurance (DQA), or writing automated audit      scripts to compare large datasets across disparate sources.
  • Advanced Logic Testing: Ability to dissect complex business logic (e.g., transit times, cost and revenue allocations) to find      where discrepancies or edge cases were dropped or miscalculated in the aggregation layer.

Preferred (Nice-to-Have)

  • Logistics Domain Knowledge: Experience in 3PL, Supply Chain, Warehousing (WMS), or Transportation Management Systems (TMS).
  • Customer-Facing Experience: Comfort presenting data solutions directly to external clients or enterprise stakeholders.

Soft Skills

  • Analytical Consultant Mindset: Ability to nudge stakeholders toward standardized metrics rather than just being an order      taker for custom reports.
  • Communication: Exceptional ability to bridge the gap between technical data structures and business-friendly insights.

What We Offer

  • Opportunity to spearhead a modern cloud-data BI migration.
  • Exposure to cutting-edge tech stacks (Snowflake, Sigma, Postgres).
  • A collaborative IT environment where your work directly impacts company growth and customer retention.

Apply