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Remote Ready Refresh Jobs (NOW HIRING)

Cable One

Customer Care and Sales Advisor - I

Are you ready to play a key role in this mission? As Customer Care and Sales Advisor I, you'll be ... Scheduling service appointments when remote resolution isn't possible * Arranging product returns ...

Redhat

Senior AI FinOps Data Analyst

Raleigh, NC · On-site +1

$88K - $141K/yr

... refresh cycle that keeps pace with AI investment spikes. * Cross-Functional Bridge Building ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

WAI Global

$234K/yr

... AI-ready data foundation, model workflows, retrieval architecture, analytics intelligence layer ... The role may be onsite or remote based on business needs and candidate profile. This role owns the ...

Posted today

Amsive

Sr Data Analyst

Manhattan, NY · Remote

We're a team of passionate individuals ready to tackle challenges, learn from one another, and ... Build dashboards that monitor Fabric capacity utilization, refresh performance, workload health ...

Pavago

Data Engineer

$117K - $140K/yr

Data Engineer Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with ... data refresh cycles) About the Role Our client is seeking a Data Engineer to design, build, and ...

Amsive

Sr Data Analyst

Manhattan, NY · On-site +1

$90K/yr

We're a team of passionate individuals ready to tackle challenges, learn from one another, and ... Build dashboards that monitor Fabric capacity utilization, refresh performance, workload health ...

Animalz

Senior Content Marketer, SEO

New York, NY · Remote

Our fully remote team of strategists and content marketers delivers content strategies tailored to ... Refresh and optimize existing content to improve rankings, engagement, and visibility across both ...

Animalz

Senior Content Marketer, SEO

New York, NY · Remote

$70K/yr

Our fully remote team of strategists and content marketers delivers content strategies tailored to ... Refresh and optimize existing content to improve rankings, engagement, and visibility across both ...

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Remote Ready Refresh information

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How much do remote ready refresh jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote ready refresh in the United States is $31.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $25.96 per hour, depending on experience, location, and employer.

What is the difference between Remote Ready Refresh vs Remote Customer Service Representative?

AspectRemote Ready RefreshRemote Customer Service Representative
Required CredentialsBasic computer skills, training providedHigh school diploma, customer service experience often preferred
Work EnvironmentRemote, flexible schedulingRemote, customer interaction-focused
Industry UsageTraining programs, workforce developmentCustomer support across various industries

Remote Ready Refresh prepares individuals with essential skills for remote work, often through training programs. Remote Customer Service Representatives handle customer inquiries remotely, requiring some experience but often less formal training. While both roles are remote, Remote Ready Refresh focuses on skill development, whereas Remote Customer Service Representatives focus on customer interaction.

More about Remote Ready Refresh jobs
What cities are hiring for Remote Ready Refresh jobs? Cities with the most Remote Ready Refresh job openings:
What are the most commonly searched types of Ready Refresh jobs? The most popular types of Ready Refresh jobs are:
What states have the most Remote Ready Refresh jobs? States with the most job openings for Remote Ready Refresh jobs include:
What job categories do people searching Remote Ready Refresh jobs look for? The top searched job categories for Remote Ready Refresh jobs are:
Remote Ready Refresh jobs near you
Infographic showing various Remote Ready Refresh job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $64,550 per year, or $31 per hour.

Director of Data Center

Imagine Staffing Technology

Saint Petersburg, FL • Remote

$170K - $200K/yr

Full-time

Re-posted 2 days ago

Job description

Job Title: Director of Data Strategy and Services
Location: St. Petersburg, FL
Hire Type: Direct Hire
Pay Range: $170,000 - $200,000
Work Type: Full-time
Work Model: Remote
Work Schedule: Monday – Friday, 8am – 5pm
Recruiter Contact: Sean Pebbles | 716.256.1259 | spebbles@imaginegroup.com
Nature & Scope:
Positional Overview
The Imagine Group is recruiting for a Director of Data Strategy and Services on behalf of our client, a leading provider of cloud-based software solutions that empower nonprofit organizations, associations, educational institutions, and mission-driven businesses to streamline operations and strengthen community engagement in St. Petersburg, FL. Through innovative technology and a customer-focused approach, the organization helps clients manage fundraising, membership, events, and financial processes while driving meaningful impact.
In this role you will be responsible for leading the strategic direction, daily operations, and performance of data center infrastructure to ensure the availability, security, and reliability of critical business systems. You will oversee capacity planning, disaster recovery, vendor relationships, and infrastructure projects while partnering with cross-functional teams to optimize operational efficiency, maintain compliance, and support long-term technology initiatives.
Role & Responsibility:
Tasks That Will Lead to Your Success
  • Enterprise Data Architecture & Strategy
  • Architecture Ownership: Own, evolve, and scale the enterprise data architecture supporting all product verticals.
  • Operational Standards: Establish standards, best practices, and repeatable patterns for data ingestion, transformation, and consumption.
  • Roadmap Alignment: Align data strategy directly with internal product roadmaps, engineering timelines, and advanced client analytics needs.
  • Planning & Design: * Define data migration scopes, constraints, historical requirements, and success criteria.
  • Design data mapping, transformation, enrichment, validation, and rollback protocols.
  • Partner with stakeholders to establish testing cycles, cutover plans, and client approvals.
  • Execution & Delivery: Oversee extraction, transformation, and loading (ETL) into test, UAT, and production environments.
  • Lead iterative migration cycles, resolve technical anomalies, and manage post-migration hypercare/remediation.
  • Deliver comprehensive migration completion documentation and client sign-offs.
  • Data Readiness: Assess source data usability; cleanse, normalize, and de-duplicate data sets to make them analytics-ready.
  • Custom Analytics & BI: Translate complex business objectives into custom dashboards, defining metrics, visualizations, filters, and refresh cadences.
  • Strategy Consulting: Advise clients on data collection methodologies (timing, frequency, automation) and practical data governance/stewardship operating frameworks.
  • Help define, manage, and mature the delivery workflows and quality standards associated with the Company’s AI Analytics subscription service offerings.
  • Prescriptive Analytics: Operationalize benchmarking frameworks and peer-group analysis, translating data into executive-ready insights for priority customer segments.
  • Service Commercialization: Track measurable client outcomes to develop case studies; partner with Product, Marketing, and Sales to support go-to-market and thought-leadership activities.
  • Integration Roadmap: Scope, prioritize, and support deal-driven integrations with third-party platforms to enhance workflow analytics.
  • Agentic Capabilities: Contribute to the creation, refinement, and client-facing alignment of agentic roles and AI-enabled capabilities.
  • Org Design: Build out the core Data Strategy & Services operating models, documentation standards, and prioritization frameworks.
  • Legacy Continuity: Maintain high-level Project Manager/Customer Engagement continuity for designated legacy accounts (requirements definition, risk management, internal coordination) during the initial transition framework.
  • Lead the creation and execution of cross-functional and cross-product data best practices.
  • Create and maintain Data COE Playbooks: Recommended operating models, prioritization frameworks, and service definitions for the scaled Data Strategy organization.
  • Create and maintain Technical Checklists: Robust service packages, data migration roadmaps, governance documentation, and architectural mapping guides.
  • Revenue in alignment with commercial targets.
  • Team billable utilization equal to or greater than goal.
  • Client NPS scores equal to or greater than goals.
Skills & Experience
Qualifications That Will Help You Thrive
  • Professional Experience: 7+ years of progressive leadership experience in Data Architecture, Enterprise Analytics, Business Intelligence, or Data Strategy.
  • Migration Domain Expertise: Demonstrated success in structuring and executing complex enterprise data migrations and third-party software integrations.
  • Consulting Background: Previous client-facing professional services or premium data consulting experience is highly preferred.
  • Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Business Administration, or an equivalent technical field.
  • Data management or governance certifications (e.g., DAMACDMP).
  • Core Competencies
  • Advanced Technology Literacy: Strategic understanding of BI tools, ETL architectures, cloud compliance, and modern agentic AI applications.
  • Cross-Functional Influence: Proven ability to partner dynamically across Product, Engineering, Sales, and Customer Success silos to operationalize data products and services.
  • Executive Communication: Exceptional communication, stakeholder management, and narrative-building skills capable of translating complex analytics into clear business actions.