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Remote Data Analyst Jobs in Spring Hill, FL (NOW HIRING)

Business Strategy Analyst Senior

Tampa, FL · On-site +1

$103K - $197K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverages advanced data-driven problem-solving techniques to manipulate and interpret business ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques ...

Analyst Charge-RIO (Remote)

Trinity, FL · Remote

$21.52 - $32.28/hr

Purpose Work Remote Position (Pay Range: $21.5178-$32.2766) Responsible for the data capture ... Data Management & Analysis: Research & compiles information to support ad-hoc operational projects ...

Analyst Charge-RIO (Remote)

Trinity, FL · Remote

$21.52 - $32.28/hr

Purpose Work Remote Position (Pay Range: $21.5178-$32.2766) Responsible for the data capture ... Data Management & Analysis: Research & compiles information to support ad-hoc operational projects ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... OR a minimum of 6 years of data and/or analytics or strategy consulting experience and up to 2 ...

It is a 100% remote opportunity. For this role you must have a passion for healthcare data and ... Analyze and assess existing order workflows and identify opportunities for improvement. Work ...

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

This role involves working closely with analysts, engineers, and business stakeholders to shape our ... This is a remote position with occasional travel. Preference given to East Coast candidates. Key ...

Revenue Cycle Analyst

Tampa, FL · On-site +1

$24 - $28/hr

Job Type Full-time Description Revenue Cycle Analyst (Remote) Position Summary The Revenue Cycle ... Prepare and distribute accurate A/R status reports, payment trend summaries, and supporting data ...

Revenue Cycle Analyst

Tampa, FL · Remote

$22 - $25/hr

Description Revenue Cycle Analyst (Remote) Position Summary The Revenue Cycle Analyst supports the ... Prepare and distribute accurate A/R status reports, payment trend summaries, and supporting data ...

Data Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

You will work closely with senior engineers, architects, analysts, and business stakeholders to ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Data Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

You will work closely with senior engineers, architects, analysts, and business stakeholders to ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Showing results 21-40

Remote Data Analyst information

See Spring Hill, FL salary details

$28.8K

$70.1K

$115.4K

How much do remote data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote data analyst in Spring Hill, FL is $70,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $82,300.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Spring Hill, FL?

The most popular types of Data Analyst jobs in Spring Hill, FL are:

What are popular job titles related to Remote Data Analyst jobs in Spring Hill, FL?

For Remote Data Analyst jobs in Spring Hill, FL, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Spring Hill, FL look for?

The top searched job categories for Remote Data Analyst jobs in Spring Hill, FL are:

What cities near Spring Hill, FL are hiring for Remote Data Analyst jobs?

Cities near Spring Hill, FL with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Spring Hill, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $70,111 per year, or $33.7 per hour.

Managing Director, Enterprise Data Platform

Tampa, FL • Remote

Ankura
Business Management Consulting • 1 - 5K employees

Full-time

Posted 5 days ago


Ankura rating

6.4

Company rating: 6.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Ankura is a team of excellence founded on innovation and growth.

Practice Overview

Ankura's Digital Transformation practice helps clients modernize their organizations by leveraging data, analytics, automation, and artificial intelligence to drive measurable business outcomes. Our data engineering and data science experts design and develop enterprise data platforms that unify trusted data and provide a scalable foundation for reporting, advanced analytics, automation, and AI.

Role Overview

We are seeking a Managing Director to help lead and expand our Enterprise Data Platform capabilities. This senior leadership role combines technical vision, business development, client relationship management, delivery oversight, and team leadership. This is a USA remote based role, ideally located in the eastern time zone but central time zone could potentially work as well.

The Managing Director will serve as an executive advisor to clients, helping them define and execute enterprise data strategies and complex cloud-platform transformations. This individual will oversee a portfolio of engagements and client relationships, manage a book of business, originate and expand revenue opportunities, and ensure that solutions deliver measurable business value.

The Managing Director will also provide leadership across the practice by establishing technical direction, developing reusable capabilities and delivery standards, recruiting and developing high-performing teams, and overseeing technical execution across multiple clients and projects.

Responsibilities

Practice and Technical Leadership

  • Help lead the strategy, development, and growth of Ankura's Enterprise Data Platform capabilities.

  • Establish the technical vision, reference architectures, delivery methodologies, and engineering standards for cloud-based data platforms.

  • Provide executive-level oversight of enterprise data platform design and development across multiple clients and engagements.

  • Guide architectural decisions involving cloud infrastructure, data integration, data modeling, governance, security, analytics, automation, and AI enablement.

  • Maintain current knowledge of emerging data, analytics, cloud, and AI technologies and translate relevant developments into new client offerings and practice capabilities.

  • Develop reusable accelerators, methodologies, and intellectual property that improve delivery quality, speed, and scalability.

Client and Commercial Leadership

  • Build and maintain trusted relationships with C-suite executives, business leaders, and senior technology stakeholders.

  • Advise clients on enterprise data strategy, platform architecture, technology selection, operating models, investment priorities, and transformation roadmaps.

  • Manage and grow a book of business spanning multiple clients and engagements.

  • Originate new opportunities and expand existing client relationships by identifying additional needs and developing relevant solutions.

  • Lead business-development activities, including opportunity qualification, solution development, proposal preparation, pricing, presentations, and contract negotiations.

  • Communicate the business value of enterprise data platforms and connect technical investments to measurable financial and operational outcomes.

  • Represent Ankura's Digital Transformation practice in the market through executive relationships, industry forums, strategic partnerships, and thought leadership.

Engagement and Delivery Oversight

  • Provide executive sponsorship and delivery oversight across a portfolio of complex data-platform programs.

  • Ensure engagements are appropriately scoped, staffed, governed, and aligned with client objectives and contractual commitments.

  • Oversee large-scale data integration and platform implementations using technologies such as Databricks, Snowflake, Microsoft Fabric, and comparable platforms.

  • Guide data orchestration and integration strategies using technologies such as Azure Data Factory, Airflow, Informatica, and other enterprise tools.

  • Monitor engagement economics, delivery quality, resource utilization, risks, timelines, and client satisfaction.

  • Ensure platforms meet expectations for scalability, reliability, security, governance, performance, maintainability, and cost efficiency.

  • Intervene proactively to resolve significant technical, delivery, commercial, or client relationship issues.

  • Maintain accountability for high-quality delivery and measurable client outcomes across the portfolio.

Team and Capability Development

  • Build, lead, and develop multidisciplinary teams of data architects, data engineers, data scientists, technical leads, and delivery professionals.

  • Recruit and retain high-performing professionals across onshore, nearshore, and offshore delivery teams.

  • Establish clear roles, career paths, competency expectations, and development plans for technical team members.

  • Mentor senior leaders and create opportunities for them to assume greater client, commercial, and delivery responsibility.

  • Promote collaboration among data engineering, data science, analytics, automation, AI, business transformation, and change-management professionals.

  • Develop scalable staffing and delivery models that support practice growth while maintaining quality and financial performance.

Qualifications

  • Typically 12-15+ years of experience in data engineering, enterprise data architecture, analytics, or related technology consulting, including substantial senior leadership responsibility.

  • Proven experience leading the design and delivery of enterprise-grade cloud data platforms and large-scale data transformation programs.

  • Demonstrated success managing and growing a significant book of consulting business across multiple clients.

  • Established record of developing executive client relationships, originating opportunities, and converting those opportunities into successful engagements.

  • Deep knowledge of enterprise data architecture, integration, data modeling, governance, metadata management, data quality, security, and cloud-platform principles.

  • Strong experience with data and analytics platforms such as Databricks, Snowflake, Microsoft Fabric, or comparable technologies.

  • Strong understanding of ETL, ELT, and orchestration technologies such as Azure Data Factory, Airflow, Informatica, or similar platforms.

  • Ability to connect data-platform investments to business strategy, operational improvement, financial performance, and measurable value realization.

  • Demonstrated experience overseeing multiple concurrent engagements, delivery teams, and client relationships.

  • Proven ability to recruit, organize, mentor, and develop high-performing technical and consulting teams.

  • Strong commercial judgment, including experience with engagement economics, pricing, contracting, resource planning, and risk management.

  • Executive-level communication, presentation, facilitation, and relationship-management skills.

  • Strong business acumen, entrepreneurial orientation, and results-focused leadership style.

  • Experience leading geographically distributed, multi-team, or multi-vendor delivery models is strongly preferred.

  • Experience with advanced analytics, machine learning, generative AI, real-time data processing, or AI-enabled enterprise solutions is preferred.

  • Relevant cloud, data-platform, or architecture certifications are beneficial.

  • Willingness to travel up to 20-25% including potential international travel.

  • Bachelor's degree in computer science, engineering, information systems, data science, or a related field is required; an advanced degree is preferred.

#LI-Hybrid

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Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.


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