1

Home Based Data Analyst Training Jobs in Florida

Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that ... Familiarity with cloud-based data platforms and big data technologies. Benefits: * Competitive ...

Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that ... Familiarity with cloud-based data platforms and big data technologies. Benefits: * Competitive ...

Our integrated GLP-1 medication weight management program utilizes state-of-the-art at-home blood ... Training & Development * Catered breakfast and lunch daily, snacks * Wellness Resources

... training to facilitate user education. · Proactively explore new metrics within existing data to improve analytics. · Maintain and publish organizational data dictionaries to ensure accurate and up ...

Data Analyst

Orlando, FL · On-site

$70 - $73/hr

S. Data Analyst The ideal candidate combines strong statistical fundamentals with hands-on ... Build reusable Python-based analysis pipelines and tooling (e.g., using pandas, numpy, scipy ...

Data Analyst

Deland, FL · On-site

$18 - $25/hr

Based in DeLand, Florida, MBI offers a team-focused, hands-on production environment where your ... Opportunities to learn and grow with hands-on training * A workplace that values quality ...

Responsibilities: The Data Analyst is responsible for ensuring enterprise data is accurate ... Part-time with benefits employees receive time off based on the number of hours they work. Other ...

Data Analyst Location: Palm Beach Garden, FL Advance your career with Mindlance! We have been ... based audit tools (pivots, lookups, Power Query as applicable) for reporting and verification. • ...

New

Data Analyst

Orlando, FL · On-site

$20 - $22/hr

... of SOPs and training initiatives. * Act with integrity, professionalism, and personal ... based on location, market conditions, experience, and candidate qualifications. Benefits: The ...

New

The Data Analyst is responsible for the volume layer of the assessment: intaking entity responses ... This is the single highest-leverage skill for this role -- the entire instrument is Excel-based.

next page

Showing results 1-20

Home Based Data Analyst Training information

How to become a home based data analyst?

To become a home-based data analyst, you typically need a bachelor's degree in a related field such as statistics, mathematics, or computer science. Developing skills in data analysis tools like Excel, SQL, and programming languages such as Python or R is essential, along with strong analytical and communication skills. Gaining experience through internships or entry-level positions can help establish your qualifications for remote work opportunities.

What is the difference between Home Based Data Analyst Training vs Remote Data Analyst?

AspectHome Based Data Analyst TrainingRemote Data Analyst
CredentialsTypically requires training programs, certifications like Microsoft Excel, SQL, or TableauOften requires similar certifications and some work experience
Work EnvironmentTraining is conducted online or in-person; actual work is remotePrimarily remote, working from home or any location with internet access
Employer & Industry UsageUsed by training providers, educational institutions, and job seekersEmployed by companies across industries, including finance, marketing, and tech

Home Based Data Analyst Training focuses on preparing individuals with the necessary skills and certifications to start a career as a remote data analyst. In contrast, a Remote Data Analyst is someone actively working in a remote role, often with prior experience and certifications. The training provides foundational knowledge, while the remote analyst role involves applying those skills in a professional setting.

Can I become a home based data analyst?

Yes, a home based data analyst can work remotely by analyzing data sets, creating reports, and using tools like Excel, SQL, or Python. Success typically requires relevant skills, a computer, and reliable internet, along with some industry experience or training. Many companies now offer remote data analyst positions, making it feasible to work from home in this role.
What are the most commonly searched types of Data Analyst Training jobs in Florida? The most popular types of Data Analyst Training jobs in Florida are:
What are popular job titles related to Home Based Data Analyst Training jobs in Florida? For Home Based Data Analyst Training jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Home Based Data Analyst Training jobs in Florida look for? The top searched job categories for Home Based Data Analyst Training jobs in Florida are:
What cities in Florida are hiring for Home Based Data Analyst Training jobs? Cities in Florida with the most Home Based Data Analyst Training job openings:
Infographic showing various Home Based Data Analyst Training job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

SENIOR DATA ANALYST

ONE ALLIANCE INSURANCE MANAGERS INC

Orlando, FL • On-site

Full-time

Re-posted 4 days ago


Job description

General Description:

The Senior Data Analyst is responsible for leading advanced reporting, analytics, and business intelligence initiatives within the Information Technology organization. This role partners closely with executive leadership, business stakeholders, and data engineering teams to deliver high-impact analytical solutions that drive operational performance, strategic decision-making, and enterprise growth.

The Senior Data Analyst designs scalable reporting frameworks, develops enterprise-grade dashboards and paginated reports, and performs advanced data analysis using modern tools and statistical techniques. This position serves as a subject matter expert in SQL Server, Power BI, and data modeling, while mentoring junior analysts and promoting data governance, automation, and analytical best practices.

Essential Duties and Responsibilities:

Enterprise Reporting & Business Intelligence

  • Lead development of executive dashboards and operational reporting solutions using Power BI and Power BI Paginated Reports
  • Design scalable semantic models (star schema, dimensional modeling) aligned with enterprise data standards
  • Deliver daily, weekly, monthly, and ad-hoc reporting with a focus on automation, accuracy, and performance
  • Ensure consistency and reconciliation across financial, underwriting, claims, sales, and operational reports

Advanced Data Analysis

  • Perform complex data analysis using SQL Server, Python (pandas, NumPy), and statistical techniques
  • Identify trends, patterns, anomalies, and business drivers within large datasets
  • Translate business questions into structured analytical approaches and actionable insights
  • Develop data validation and reconciliation processes to improve trust in enterprise reporting

Data Modeling & Query Optimization

  • Write advanced T-SQL queries, views, and stored procedures optimized for performance
  • Collaborate with Data Engineering on data models and data product design
  • Optimize report performance through indexing strategies, query tuning, and model design improvements

Automation & Process Improvement

  • Automate recurring reports and analytical workflows
  • Replace manual Excel-based processes with scalable BI solutions
  • Implement quality checks and monitoring processes to reduce reporting risk

Strategic Partnership

  • Serve as analytical advisor to department leaders and executives
  • Participate in requirements gathering sessions and translate business needs into technical deliverables
  • Present findings clearly to both technical and non-technical audiences
  • Contribute to roadmap discussions for analytics platform modernization

Mentorship & Governance

  • Mentor junior analysts on SQL, data modeling, visualization best practices, and documentation standards
  • Promote consistent definitions, KPIs, and metadata usage across departments
  • Contribute to documentation, wiki content, and data dictionary standards

Additional Responsibilities

  • Contribute to project planning and task tracking
  • Successfully manage multiple initiatives simultaneously
  • Perform other duties as required

Education and/or Experience:

  • Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or related discipline required
  • 6+ years of progressive experience in data analysis, business intelligence, or analytics roles
  • Advanced proficiency in Microsoft SQL Server (T-SQL, stored procedures, query optimization)
  • Strong expertise in Power BI (data modeling, DAX, report design, paginated reports)
  • Experience designing dimensional data models (fact/dimension tables, star schema)
  • Proficiency in Python for data analysis (pandas, NumPy; scikit-learn a plus)
  • Experience with Azure-based data environments and modern data platforms preferred
  • Strong understanding of data quality validation, reconciliation, and governance practices
  • Familiarity with Machine Learning concepts and predictive modeling methodologies preferred
  • Experience working in Property & Casualty Insurance a must
  • Familiarity with ticketing systems used to assign and track work
  • Strong written and oral communication skills