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Remote Big Data Analytics Jobs in Tennessee (NOW HIRING)

You will report directly to the VP Data Analytics and Reporting and regularly collaborate with your ... Company-issued equipment + remote access Role Responsibilities The responsibilities of the role ...

Bachelor's degree in Marketing Analytics, Data Analysis or a quantitative discipline, OR equivalent ... Remote Why Choose Us? A career with the Rentokil family of companies can be a professional ...

Data Analyst, Mid

Millington, TN · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246792 Location: Millington,TN,US Share job via: Share Data Analyst, Mid The Opportunity: As data analyst, you love diving into data and turning it into meaningful ...

Collaborate with software engineers, data analysts, and business stakeholders to understand data ... Experience with data warehousing, ETL processes, and big data solutions is a plus. (e.g., Snowflake ...

Data Engineer

Knoxville, TN · Remote

$120K - $155K/yr

Strong problem-solving, root cause analysis, and time management skills. * Proficient in Python and ... We're at the forefront of supporting the global energy transition at sea, the application of remote ...

Showing results 21-40

Remote Big Data Analytics information

What is a remote big data analytics?

A Remote Big Data Analytics job involves analyzing large and complex data sets to extract insights, identify trends, and support data-driven decision-making, while working from a location outside a traditional office environment. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret big data, often collaborating with teams virtually. They help businesses optimize operations, improve products, and better understand customer behavior. Remote Big Data Analysts must have strong analytical, technical, and communication skills to succeed in this flexible work arrangement.

What are the key skills and qualifications needed to thrive as a remote big data analytics professional?

To thrive as a Remote Big Data Analytics professional, you need a strong background in statistics, data modeling, and programming languages like Python or R, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools such as Hadoop, Spark, SQL databases, and cloud platforms like AWS or Azure, as well as certifications in these technologies, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are standout soft skills for this role. These skills enable effective data-driven decision-making and collaboration across distributed teams in dynamic business environments.

What are some common challenges faced by professionals working in remote big data analytics roles, and how can they be addressed?

Professionals in remote Big Data Analytics roles often encounter challenges related to data accessibility, effective communication with cross-functional teams, and managing time zones. Ensuring secure access to large datasets and collaborating efficiently with colleagues can be more complex when working remotely. To address these challenges, it's important to use robust cloud-based tools, establish clear communication practices, and schedule regular virtual check-ins. Additionally, developing strong self-discipline and time management skills can help maintain productivity and collaboration.

What is the difference between Remote Big Data Analytics vs Remote Data Engineer?

AspectRemote Big Data AnalyticsRemote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in analytics toolsBachelor's in CS, Software Engineering, or related; certifications in cloud platforms and data pipelines
Work EnvironmentData analysis platforms, cloud services, analytics toolsData pipelines, ETL tools, cloud infrastructure
Industry UsageFinance, healthcare, marketing, e-commerceTech, finance, healthcare, retail
Common Search & ComparisonYesYes

Remote Big Data Analytics focuses on analyzing large datasets to extract insights, using analytics tools and statistical methods. Remote Data Engineers build and maintain data pipelines and infrastructure to enable data analysis. While both roles work with big data, analytics professionals interpret data, whereas engineers develop the systems to process it.

What cities in Tennessee are hiring for Remote Big Data Analytics jobs?

Cities in Tennessee with the most Remote Big Data Analytics job openings:

Manager, Payments Ops Analytics

corpay

Nashville, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Corpay rating

7.4

Company rating: 7.4 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

13th of 21 rated payment service providers


Job description

What We Need

CORPAY is currently looking to hire a Manager, Payments Operations Analytics within our Data & Analytics division. This position falls under our Corporate Payments line of business and is located in Atlanta, GA or Nashville, TN. In this role, the Manager of Payments Ops Analytics role is responsible for execution, and continuous improvement of analytics supporting Corpay’s payment operations. This role supports operational reporting, business intelligence, performance measurement, and data-driven insights across payment processing, vendor enablement, and master data management initiatives. This position partners closely with Operations, Product, Technology, Finance, and Sales leadership to deliver actionable insights that improve operational efficiency, customer experience, and business performance. You will report directly to the VP Data Analytics and Reporting and regularly collaborate with your team and other departments.

 

How We Work

As the Manager of Payments Ops Analytics, you will be expected to work in an office environment. CORPAY will set you up for success by providing:

  • Assigned workspace in the Nashville or Atlanta office.
  • Company-issued equipment + remote access

 

Role Responsibilities

The responsibilities of the role will include:

Payments Operations Analytics

  • Oversee the development, maintenance, and governance of operational dashboards, scorecards, KPIs, and executive reporting.
  • Monitor payment operations performance across key workflows, including electronic payments, supplier enablement, transaction processing, and payment exception management.
  • Deliver timely insights into operational trends, service levels, productivity, and quality metrics.
  • Partner with operational leaders to identify opportunities for performance optimization and operational efficiency.

Business Intelligence & Reporting

  • Define and manage enterprise reporting standards to ensure consistency, accuracy, and scalability.
  • Translate complex operational and financial data into meaningful business insights for executive leadership.
  • Lead recurring business reviews through data storytelling, trend analysis, and actionable recommendations.
  • Support ad hoc analytical requests and strategic initiatives across the Payments organization.

 

Process Improvement & Strategy

  • Identify opportunities to automate reporting, improve data quality, and streamline analytical processes.
  • Partner with Technology and Data Engineering teams to enhance data availability, governance, and reporting infrastructure.
  • Support Master Data Management initiatives by ensuring data integrity and consistent reporting across business functions.
  • Champion continuous improvement methodologies and leverage analytics to drive measurable operational outcomes.

 

Cross-Functional Partnership

  • Collaborate with Product, Operations, Finance, Sales, Customer Success, and Technology teams to define performance metrics and support strategic initiatives.
  • Provide analytical support for business cases, operational planning, forecasting, and executive presentations.
  • Serve as a trusted advisor to senior leadership by providing data-driven recommendations that influence business decisions.

 

Qualifications & Skills

  • Bachelor’s degree in Business, Finance, Analytics, Information Systems, Computer Science, Statistics, or a related field, or equivalent experience.
  • 4+ years of experience in analytics, business intelligence, payments operations, financial services, or related analytical functions.
  • Strong understanding of payment operations, electronic payments, financial transactions, and operational performance metrics.
  • Advanced proficiency or aptitude with SQL, Reporting platforms (i.e., Quicksight, Power BI), Excel, and data visualization tools.
  • Exceptional analytical thinking and problem-solving capabilities.
  • Excellent written and verbal communication skills, including executive-level presentations.
  • Proven ability to influence cross-functional stakeholders and drive organizational change.
  • Strong project management and prioritization skills in a fast-paced environment.
  • Strategic mindset with the ability to balance tactical execution and long-term planning.
  • Customer-focused approach with a passion for operational excellence and continuous improvement.

Benefits & Perks

  • Medical, Dental & Vision benefits available the 1st month after hire
  • Automatic enrollment into our 401k plan (subject to eligibility requirements)
  • Virtual fitness classes offered company-wide
  • Robust PTO offerings including major holidays, vacation, sick, personal, & volunteer time
  • Employee discounts with major providers (i.e. wireless, gym, car rental, etc.)
  • Philanthropic support with both local and national organizations
  • Fun culture with company-wide contests and prizes

What Corpay employees say

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