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Manager Senior Data Analyst Remote Jobs in Florida

Luxury Coastal Vacations

Senior Data Analyst

Destin, FL · On-site +1

$78K - $98K/yr

Description The Senior Data Analyst owns a business domain spanning Awayday's Operations, HR ... Familiarity with a CRM, marketing, or HRIS data source Key Attributes: * Strategic thinker with a ...

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in one of several remote hire locations) Position Type: Full Time The ... Develop and produce executive key performance metrics and report to senior management and the ...

Suncoast Credit Union

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Remote (candidate must reside in FL) Position Type: Full Time The Senior Fraud Analyst actively ... Develop and produce executive key performance metrics and report to senior management and the ...

Careerxchange

Oncology CTMS Analyst

Miami, FL · Remote

$28 - $38/hr

Senior Oncology CTMS Analyst (Remote) - 15-Week Contract Miami, FL Area (Remote) $28.00 - $38.00 ... data management. If you have hands-on CTMS experience in a hospital or academic research ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... analysts, data scientists, product managers, and business stakeholders--to define requirements ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

INTEGRO

Risk Manager / Senior Risk Analyst

Tallahassee, FL · On-site +1

$120K - $150K/yr

Remote flexibility available for the right candidate Division : Dealer General Warranty About CV ... Pursue external data sources and incorporate into analysis of sales and loss performance. * Analyze ...

Booz Allen Hamilton, Inc.

Data Manager, Senior

Tampa, FL · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0247173 Location: Tampa,FL,US Share job via: Share Data Manager ... Experience with quantitative analysis, developing visualizations, and processing complex data to ...

Katmai

Data Analyst III

Orlando, FL · On-site +1

$120K - $140K/yr

Apply senior-level knowledge of Oracle APEX, Cognos Analytics, Java legacy frameworks, Oracle ... WORK ENVIRONMENT Work is expected to be remote; however, the company reserves the right to require ...

ASR Group

Sr. Data Scientist

Belle Glade, FL · Remote

OVERVIEW Reporting to the VP of R&D, the Senior Data Scientist will serve as a high-level technical ... management of AI solutions. * Geospatial and Remote Sensing Analytics - Working knowledge of GIS ...

CONMED

Global Marketing Data Analyst

Largo, FL · Remote

$85K - $148K/yr

Drives actionable insights for optimization to channel managers. * Supports end-to-end marketing ... and senior stakeholders. This is a remote role with up to 20% travel. This job posting is ...

Ryder

Senior Financial Analyst - REMOTE

Miami, FL · Remote

$92K/yr

This position will provide financial and analytical support to Senior Financial Management, Group ... data sets, vlookups/hlookups, creating pivot tables, filtering options, waterfall charts ...

Indotronix

Billing Analyst (Remote)

Tallahassee, FL · Remote

$28/hr

Billing Analyst at 100% Remote - L3 Harris (Aerospace & Defense). Job Title: **Billing Analyst ... You will be working closely with the Project Finance team and Contract Managers to ensure accuracy ...

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Manager Senior Data Analyst Remote information

What does a manager senior data analyst do in a remote role?

A Manager Senior Data Analyst in a remote role leads data analysis projects and oversees a team of analysts to extract, interpret, and present insights from large datasets. They are responsible for setting analysis strategies, ensuring data quality, and communicating findings to stakeholders to inform business decisions. Working remotely, they utilize digital collaboration tools to manage their team and maintain clear communication. Their work often involves designing data models, developing KPIs, and supporting data-driven decision-making across the organization.

How does a manager senior data analyst balance hands-on analytics work with team leadership responsibilities in a remote setting?

As a Manager Senior Data Analyst working remotely, you can expect to split your time between guiding your team and performing advanced analytics tasks yourself. You'll often lead project planning, mentor junior analysts, and coordinate with cross-functional teams, all while ensuring data-driven solutions are delivered on schedule. Effective communication and regular virtual check-ins are essential for fostering collaboration and keeping projects on track. Balancing strategic oversight with hands-on analysis is key to success, and many organizations support this through clear goal-setting and flexible work hours.

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

To thrive as a Manager Senior Data Analyst Remote, you need advanced data analysis skills, expertise in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with analytics tools such as SQL, Python, R, data visualization platforms (e.g., Tableau, Power BI), and experience with cloud-based data systems are typically required. Strong leadership, problem-solving, and communication skills are essential, especially for managing remote teams and collaborating across departments. These skills ensure effective data-driven decision-making, efficient team management, and clear communication of insights in a distributed environment.

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

AspectManager Senior Data Analyst RemoteData Scientist
Required CredentialsBachelor's or Master's in Data Analytics, Business, or related fields; experience in data analysis toolsBachelor's or Master's in Computer Science, Statistics, or related; often requires programming skills
Work EnvironmentRemote, collaborative with teams, focus on reporting and analysisRemote or on-site, research-focused, involves modeling and algorithm development
Employer & Industry UsageBusiness, finance, healthcare, tech companiesTech firms, research institutions, startups, and enterprises

The main difference is that Manager Senior Data Analysts focus on interpreting data, creating reports, and guiding teams, while Data Scientists develop models and algorithms to extract insights. Both roles often work remotely and require strong analytical skills, but Data Scientists typically have more programming and statistical expertise.

What are the most commonly searched types of Senior Data Analyst Remote jobs in Florida?

The most popular types of Senior Data Analyst Remote jobs in Florida are:

What cities in Florida are hiring for Manager Senior Data Analyst Remote jobs?

Cities in Florida with the most Manager Senior Data Analyst Remote job openings:

Manager Senior Data Analyst Remote jobs near you

Senior Data Analyst

Destin, FL • On-site, Remote

Luxury Coastal Vacations
See more jobs at Luxury Coastal Vacationsexternal

$78K - $98K/yr

Full-time

Posted 24 days ago

Job description

Description
The Senior Data Analyst owns a business domain spanning Awayday's Operations, HR, Marketing, and Business Development, from the models at its foundation through to the reporting and analysis the business depends on. It is a deliberately broad mandate. You will build production-grade models against Awayday's conformed core and extend them into the semantic layer, develop the bespoke dashboards that sit atop them, conduct the ad hoc analysis stakeholders need, and help define the metrics that the departments within your domain rely on to make decisions day to day.
This role blends deep analytical rigor with genuine ownership. You will define what a metric means in partnership with the business, build and extend the models behind it, reconcile it to the source, and stand behind it with stakeholders, whether that work takes shape as a data model, a dashboard, or a one-off analysis. The ideal candidate is a proactive, results-oriented senior analyst, someone who pairs command of SQL and semantic modeling with sound data judgment and the communication skills to partner closely with the business.
Requirements
Key Responsibilities:
Domain Ownership
  • Own the Operations, HR, Marketing, and Business Development data domain end to end: modeling, delivery, reconciliation, and the stakeholder relationships behind it.
  • Carry the domain's hardest analytical work, so it stops queuing behind a single central builder.
  • Stay accountable for the health and accuracy of the domain's models and metrics, not only for their delivery.
  • Extend the domain's models into the semantic layer as new measures and dimensions are required.

Metric Development and Reporting
  • Help define and implement the KPIs and definitions Ops, HR, Marketing, and BD stakeholders rely on.
  • Build and maintain reporting and dashboards, in our BI tools and in the semantic layer, for the domain's end users.
  • Present insights and trends clearly, and conduct ad hoc analysis for stakeholders as needed.

Modeling and the Semantic Layer
  • Build and extend the domain's models on top of the shared conformed core.
  • Wire the domain's measures and dimensions into the semantic layer, so its metrics stay consistent with every other source.
  • Write the tests, reconciliations, and documentation that make the models production-grade.

Standardization and Harmonization
  • Own the standardization and harmonization within the domain, aligning definitions across brands so cross-brand metrics hold.
  • Coordinate with local and central teams to write standardized definitions and data mappings across the portfolio.

Stakeholder Partnership and Delivery
  • Partner with Ops, HR, Marketing, and Business Development stakeholders to define requirements and metrics before building them.
  • Communicate project priorities and requirements to the tech lead, who assigns the work and runs peer review within the contract team, and coach the one to two contract analysts in your domain to grow their skills and the quality of their output over time.
  • Run QA to confirm the domain's numbers reconcile before they reach our stakeholders.

AI and Analytics Enablement
  • Curate the governed metrics and semantic definitions our AI assistant relies on, and validate its answers against the source.

Qualifications:
  • 5+ years in data analysis, with demonstrated end-to-end ownership of an analytics area.
  • Strong SQL and hands-on experience building models in a cloud data warehouse (Snowflake preferred) with a semantic modeling or transformation framework.
  • Experience building reporting in a modern BI tool such as Domo, Looker, Tableau, or Power BI.
  • A track record of translating business requirements into governed metrics and standing behind the numbers with stakeholders.
  • Ownership of data quality and reconciliation for an area, and comfort directing others' work.
  • Powerful oral and written communication skills to present findings to non-technical stakeholders and to distill the needs of our business teams.
  • Practical, hands-on experience applying AI tools to real work, including LLM-assisted workflows. You know how to structure prompts and context and ground models on trusted data sources. Deep AI-engineering theory is not required, only fluency putting these tools to work.
  • Openness to an evolving BI and semantic-layer stack, including evaluating tools beyond our current set as the platform matures.

Preferred Qualifications:
  • Experience with a semantic or metrics layer and transformation tooling (dbt, MetricFlow, SQLMesh, or comparable).
  • Subject-matter depth in Operations, HR, Marketing, or Business Development that you've supported as an analyst.
  • Hospitality or vacation-rental domain experience.
  • Familiarity with a CRM, marketing, or HRIS data source

Key Attributes:
  • Strategic thinker with a proactive, problem-solving mindset.
  • Strong attention to detail and a commitment to numbers that reconcile.
  • Able to work independently and as part of a team, and to translate complex concepts into clear insight.
  • Eager to learn and adapt in a fast-paced, acquisitive environment.
  • An innate sense of curiosity and desire to help others.

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