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New Grad Data Analyst Jobs in Florida (NOW HIRING)

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ... Build dynamic, forecasting models that pull from historical data, update with new actuals, and ...

Develop and implement new workflows, procedures, and business solutions to meet evolving industry ... Data analysis * Business operations * Data management * Financial services, healthcare, insurance ...

Geophysical Data Analyst (USNDC) Belong. Connect. Grow. with KBR! Around here, we define the future ... KBR Benefits New | KBR Belong, Connect and Grow at KBR At KBR, we are passionate about our people ...

Identifying new sources of data and methods to improve data collection, analysis, and reporting. * Collecting customer requirements for analysis, reporting and visualization and determining technical ...

OPS Data Analyst - 31902352 Pay Plan: Temp Position Number: 31902352 Salary: $32.00/Hour Posting ... Ability to learn new systems and tools. * Ability to document processes and complete process maps.

Senior Fraud Data Analyst

Tampa, FL · Remote

$75K - $117K/yr

Additionally, the Senior Fraud Analysts will help develop new fraud risk reporting utilizing ... Analyze loss data and recommend/implement appropriate loss prevention strategies * Evaluate fraud ...

Showing results 41-60

New Grad Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do new grad data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for new grad data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What is a new grad data analyst?

A New Grad Data Analyst is an entry-level role for recent graduates who analyze data to help organizations make informed decisions. They work with datasets, clean and visualize data, and generate insights using tools like SQL, Python, Excel, and Tableau. These analysts collaborate with teams to solve business problems and improve processes. The role provides opportunities to develop technical skills and gain experience in data-driven decision-making.

What are the key skills and qualifications needed to thrive in the new grad data analyst position, and why are they important?

To thrive as a New Grad Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, usually supported by a degree in a quantitative field. Familiarity with technical tools like SQL, Excel, Python or R, and data visualization software such as Tableau or Power BI is highly valued. Strong communication skills, attention to detail, and a proactive willingness to learn help new grads excel in collaborative, data-driven environments. These skills are crucial because they enable you to effectively turn data into actionable insights and contribute to informed business decisions.

What are the typical daily responsibilities for a new grad data analyst?

As a New Grad Data Analyst, your daily responsibilities may include gathering and cleaning raw data, running analyses to identify trends or patterns, and generating reports or dashboards to share your findings. You’ll often work closely with other analysts, team leads, or business stakeholders to understand their data needs and help translate business questions into analytical solutions. Expect regular collaboration in meetings, presentations of your insights, and the opportunity to get hands-on practice with various data tools. Over time, you may also participate in larger projects or support process improvements based on your analyses.

What are popular job titles related to New Grad Data Analyst jobs in Florida? For New Grad Data Analyst jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for New Grad Data Analyst jobs? Cities in Florida with the most New Grad Data Analyst job openings:
Infographic showing various New Grad Data Analyst job openings in Florida as of August 2026, with employment types broken down into 57% Full Time, 29% Contract, and 14% Nights. Highlights an 100% In-person job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Financial Data Analyst

Appodeal

Parkland, FL • On-site

Full-time

Re-posted 17 days ago


Job description

Appodeal is a dynamic US-based product company with a truly global presence.
We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we're more than just a company-we're a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here's what we value, and what we hope you do too:
  • Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
  • Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
  • Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
  • Enjoying the Journey: We believe in having fun while working toward our goals.

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial data across systems. This role sits at the intersection of Finance, Data, and Systems, ensuring that financial metrics are accurate, scalable, and directly usable for decision-making.The role will build and maintain a finance data layer that acts as the single source of truth and powers AI-driven insights and dashboards, and dynamically produce reports that drive business decisions.
Key Responsibilities
Financial Data Integrity:
  • Ensure accuracy and consistency of financial data across:
    - ERP (e.g., NetSuite),
    - operational systems,
    - data warehouse / BI tools.
  • Reconcile partner reported revenue across SSPs, DSPs, and exchanges with internal reporting and analytics.
  • Identify and resolve discrepancies between systems (e.g., revenue, cost, payments).
  • Establish repeatable reconciliation frameworks (not ad hoc fixes).

Data Pipeline & Systems Ownership:
  • Partner with Data Engineering to:
    - define financial data requirements,
    - validate pipelines and transformations,
    - ensure correct data mapping and lineage.
  • Maintain and improve the financial system of record.
  • Translate accounting logic into data models and rules.

Metrics & Data Modeling:
  • Define and maintain key financial metrics (revenue, gross profit, margins, etc.).
  • Ensure alignment between:
    - dashboards,
    - internal reporting,
    - financial statements;
  • Build datasets that support:
    - executive reporting,
    - product and operational analysis.
  • Build dynamic, forecasting models that pull from historical data, update with new actuals, and support flexible scenario and assumption inputs.

Close & Reporting Support:
  • Support month-end close through:
    - data validation,
    reconciliation automation.
  • Reduce reliance on manual journal entries by improving upstream data quality.

Controls & Audit Readiness:
  • Implement data-level controls to prevent errors at the source.
  • Ensure financial data is:
    - auditable,
    - traceable from source to reporting.
  • Support audits with clear data documentation.

Cross-Functional Collaboration
  • Work closely with:
    - Accounting,
    - FP&A,
    - Data Engineering,
    - Product / Operations.
  • Act as a translator between finance requirements and technical implementation.

Qualifications
Required:
  • Bachelor's degree in Accounting, Finance, Data, or related field.
  • 2-5+ years experience in:
    - financial data analysis,
    - business intelligence,
    - or FP&A with strong data exposure.
  • Strong SQL skills.
  • Advanced Excel.
  • Familiarity with ERP systems (NetSuite).
  • Experience working with large datasets and high-volume environments (FinTech, Banking, Marketplaces, AdTech, or similar).
  • Python - a plus.
  • Experience with BI tools (Tableau, Looker, Power BI) - a plus.

Skills & Competencies:
  • Strong systems thinking (understands end-to-end data flows).
  • Ability to identify root causes of data discrepancies.
  • Detail-oriented with high standards for data accuracy.
  • Automation mindset (eliminate manual work).
  • Ability to communicate with both finance and engineering teams.

Why join Appodeal?
  • Be part of a mission-driven company that empowers mobile businesses worldwide.
  • Work with a talented international team that values creativity, ownership, and collaboration.
  • Grow your career in a fast-paced, innovative environment where your work makes a real impact.
  • Competitive compensation, flexible working arrangements, and opportunities for professional development.

With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us and help shape the future of mobile app success!