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Weekday Google Data Analyst Jobs in Florida (NOW HIRING)

MUFG Bank, Ltd.

AVP, Audit Execution Analytics

Tampa, FL · On-site

$106K - $130K/yr

... Google Data Analytics Professional Certificate, IBM Data Analyst Professional Certificate ... Power BI Data Analyst Associate, Tableau Desktop Specialist, AWS Certified Data Analytics, Azure ...

MUFG

AVP, Audit Execution Analytics

Tampa, FL · Hybrid

$106K - $130K/yr

... Google Data Analytics Professional Certificate, IBM Data Analyst Professional Certificate ... Power BI Data Analyst Associate, Tableau Desktop Specialist, AWS Certified Data Analytics, Azure ...

Slalom Consulting

General Information

Miami, FL · On-site

$61 - $78.50/hr

AI-ready data foundations, ensuring high-quality, governed, and scalable data to support advanced analytics and generative AI use cases. What You'll Do: Slalom Google Data and AI is comprised of ...

CONMED

Global Marketing Data Analyst

Largo, FL · Remote

$85K - $148K/yr

Experience recording, validating, and reporting on digital events in Google Analytics, Adobe ... Ability to normalize data across systems, define KPI standards, and translate findings into clear ...

AllSTEM Connections

CRM Analytics Analyst

Orlando, FL · On-site

$104K/yr

... data from platforms such as Google Analytics, Meta Ads, Google Ads, and Microsoft Ads Collaborate with cross-functional teams to support data-driven decision-making Ensure data quality, integrity ...

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All JobsWeekday Google Data Analyst JobsWeekday Google Data Analyst Jobs in Florida

Weekday Google Data Analyst information

Is 40 too late for data science?

For a Weekday Google Data Analyst role, age is generally not a barrier; many professionals transition into data roles later in life. Success depends on skills, experience, and continuous learning in tools like SQL, Excel, and data visualization, rather than age alone.

What is the difference between Weekday Google Data Analyst vs Weekday Data Scientist?

AspectWeekday Google Data AnalystWeekday Data Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Google certificationsBachelor's or Master's in Data Science, Computer Science, or related; advanced certifications
Work EnvironmentData analysis, reporting, dashboards within Google toolsModel development, complex analysis, machine learning projects
Employer & Industry UsagePrimarily in tech, marketing, and e-commerce companies using Google platforms

Weekday Google Data Analysts focus on interpreting data, creating reports, and supporting decision-making using Google tools. In contrast, Weekday Data Scientists handle advanced modeling, machine learning, and predictive analytics. Both roles require strong analytical skills and familiarity with data tools, but Data Scientists typically have more technical expertise and work on complex algorithms.

How many hours does a Data Analyst work in a week?

A Weekday Google Data Analyst typically works around 40 hours per week, following a standard full-time schedule. However, workload and hours can vary depending on project deadlines, company policies, and whether overtime or flexible hours are required.

Is a Data Analyst still worth it in 2026?

A Data Analyst remains a valuable role in 2026, as organizations continue to rely on data-driven decision-making. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are essential, and demand is expected to grow with increasing data volumes and analytics adoption across industries.

How much does Google pay a Data Analyst?

Google Data Analysts typically earn an average salary ranging from $70,000 to $100,000 per year, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced analysts with skills in SQL, Excel, and data visualization tools can earn higher salaries.
What are the most commonly searched types of Google Data Analyst jobs in Florida? The most popular types of Google Data Analyst jobs in Florida are:
Weekday Google Data Analyst jobs near you
Data Analyst

Data Analyst

Maschmeyer Concrete Company of Florida

Lake Park, FL

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

About the Role

We are looking for a sharp, curious, and driven Analyst to join our team. In this role, you will sit at the intersection of data, finance, and business strategy - turning complex information into clear insights that drive decision-making across the organization. Whether your background leans quantitative, financial, or operational, we want someone who is energized by solving problems and communicating findings with impact.

What You'll Do

  • Collect, clean, and analyze large datasets from multiple sources to surface trends, anomalies, and opportunities
  • Build and maintain dashboards, reports, and visualizations that give stakeholders real-time visibility into key metrics
  • Support financial planning, forecasting, and budgeting cycles with accurate, well-documented models
  • Partner with business units to understand goals, translate them into analytical frameworks, and deliver actionable recommendations
  • Evaluate business performance against targets and help identify levers for improvement
  • Present findings clearly to both technical and non-technical audiences, including leadership
  • Identify process inefficiencies and propose data-driven solutions
  • Contribute to ad hoc analyses and special projects as business needs evolve

What We're Looking For

Required

  • Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related field
  • 2-5 years of experience in a data, finance, or business analysis role
  • Proficiency in SQL for querying and manipulating data
  • Strong command of Excel and/or Google Sheets, including pivot tables, complex formulas, and financial modeling
  • Experience with at least one BI or visualization tool (Tableau, Power BI, Looker, or similar)
  • Solid analytical thinking with the ability to break down ambiguous problems
  • Excellent written and verbal communication skills - you can tell a clear story with data

Preferred

  • Experience with Python or R for data analysis and automation
  • Familiarity with financial statements (P&L, balance sheet, cash flow)
  • Background in statistical modeling, forecasting, or A/B testing
  • Experience in a fast-paced, high-growth, or cross-functional environment
  • Exposure to dbt, Snowflake, Redshift, or similar modern data stack tools

What We Offer

  • Competitive salary commensurate with experience
  • Comprehensive health, dental, and vision benefits
  • Flexible work arrangements and generous PTO
  • 401(k) with employer match
  • A collaborative, intellectually curious team that values your contributions
  • Professional development budget and support for continued learning

Apply