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Remote Data Translator Jobs in Florida (NOW HIRING)

Appodeal

Financial Data Analyst

Parkland, FL · On-site

We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located ... Act as a translator between finance requirements and technical implementation. Qualifications ...

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Remote Data Translator information

How much do Netflix translators get paid?

Netflix translators typically earn between $0.10 and $0.20 per word translated, depending on experience and language complexity. Compensation can also include project-based rates or hourly pay, and proficiency in translation tools and industry standards may influence earnings.

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

AspectRemote Data TranslatorData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; familiarity with data visualization toolsBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and analytics software
Work EnvironmentRemote, collaborative teams, client-facing rolesOffice or remote, often within organizations or consulting firms
Industry UsageTech, healthcare, finance, consultingBusiness, marketing, finance, healthcare
Common Search & ComparisonOften compared for data interpretation and communication skillsCompared for data analysis and reporting capabilities

The Remote Data Translator focuses on interpreting complex data into understandable insights for clients or teams, often requiring strong communication skills. Data Analysts primarily analyze data sets to identify trends and generate reports. While both roles work with data, the Remote Data Translator emphasizes translation and communication, whereas Data Analysts focus on analysis and interpretation.

What does a data translator do?

A data translator bridges the gap between data analysts and non-technical stakeholders by converting complex data insights into clear, understandable language. They interpret data findings, ensure accurate communication, and often work with data visualization tools to support decision-making. Strong communication skills and knowledge of data analysis are essential for this role.

How much do remote translators get paid?

Remote data translators typically earn between $20 and $50 per hour, depending on experience, language pairs, and project complexity. Some may also be paid per word or project, with rates varying based on the industry and client requirements.

What is a Remote Data Translator?

A Remote Data Translator is a professional who works from a remote location to interpret, convert, and communicate complex data findings into easily understandable language for non-technical stakeholders. They bridge the gap between data scientists, analysts, and business teams by ensuring that data-driven insights are actionable and clear. This role often involves translating technical jargon, creating visualizations, and helping organizations make informed decisions based on data. Remote Data Translators typically use tools like Excel, Tableau, or Power BI and may collaborate across different time zones and teams.

How does a Remote Data Translator typically collaborate with data scientists and business stakeholders to ensure project success?

A Remote Data Translator acts as a vital bridge between technical data teams and business units. They frequently participate in virtual meetings to gather business requirements, translate them into data-driven objectives, and clarify analytical outcomes for non-technical stakeholders. Effective collaboration involves regular communication, documentation, and feedback loops to ensure that project goals remain aligned and actionable insights are delivered. Building strong relationships remotely can be challenging, but utilizing collaborative tools and maintaining proactive communication are key strategies for success in this role.

What are the key skills and qualifications needed to thrive as a Remote Data Translator, and why are they important?

To thrive as a Remote Data Translator, you need strong analytical abilities, data literacy, and a background in business or data science, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and basic programming or statistical analysis tools is typically required. Excellent communication, problem-solving, and stakeholder management skills help you bridge the gap between technical teams and business users. These skills ensure that complex data insights are accurately interpreted and effectively communicated to support informed decision-making.

Can you work remotely as a translator?

Remote data translators can work from any location with internet access, as their tasks typically involve analyzing and converting data formats digitally. Many employers offer remote positions that require strong communication skills and familiarity with data translation tools, making remote work a common arrangement in this role.
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Remote Data Translator jobs near you
Financial Data Analyst

Financial Data Analyst

Appodeal

Parkland, FL • On-site

Full-time

Posted 3 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!

Apply