3 days ago

Finance & Data Research Analyst

Talent Bridge

Remote
Contractor
$45,000
Remote

Job Overview

Job TitleFinance & Data Research Analyst
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$45,000
LocationRemote

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Job Description

Role: Finance & Data Research Analyst

We are seeking a meticulous and analytical Finance & Data Research Analyst to join our customer’s team. This remote, part-time role focuses on uncovering valuable financial insights by expertly navigating diverse data sources, synthesizing information, and communicating actionable findings. The ideal candidate thrives in a detail-oriented environment, enjoys resource discovery, and has strong financial literacy.

Role Overview

As a Finance & Data Research Analyst, you will perform comprehensive research across financial and business data sources, organize and analyze complex datasets, and produce concise reports that support decision-making. You will work independently while collaborating with team members to ensure research outputs are accurate, actionable, and clearly communicated.

Key Responsibilities

  • Conduct extensive research to identify, verify, and gather critical financial and business data from multiple digital resources and databases.
  • Evaluate, organize, and synthesize datasets, maintaining accuracy and integrity across formats such as CSV, Excel, and PDF.
  • Analyze financial reports, statements, and market trends to provide insights supporting business objectives.
  • Collaborate with team members to deliver timely updates and share research outcomes clearly.
  • Prepare concise written summaries and visualizations to communicate findings to both technical and non-technical stakeholders.
  • Develop and maintain documentation for data sources, methodologies, and research workflows.
  • Continuously monitor and identify new resources or tools to enhance research efficiency and data quality.

Required Skills and Qualifications

  • Proven expertise in resource discovery, including sourcing and verifying complex financial and business data.
  • Strong financial literacy with the ability to interpret and analyze financial documents and terminology.
  • Proficiency in navigating and handling data across various file formats (CSV, Excel, PDF).
  • Exceptional written and verbal communication skills, ensuring clarity and effectiveness in information sharing.
  • Ability to work independently in a remote setting, managing time and priorities efficiently.
  • High attention to detail and commitment to data accuracy in research and reporting.
  • Familiarity with data visualization and research tools is a plus.

This role is ideal for analytical professionals who enjoy deep-dive financial research, synthesizing complex information, and providing actionable insights in a collaborative yet autonomous remote environment.

Key skills/competency

  • Financial Analysis
  • Data Research
  • Data Synthesis
  • Financial Literacy
  • Resource Discovery
  • Data Accuracy
  • Report Generation
  • Data Visualization
  • Communication Skills
  • Remote Work

Tags:

Finance & Data Research Analyst
Financial Analysis
Data Research
Data Synthesis
Financial Literacy
Resource Discovery
Report Generation
Data Accuracy
Remote Work
Quantitative Analysis
Market Research
Excel
CSV
PDF
Data Visualization Tools
Databases
Analytical Software
Cloud Collaboration Tools
Research Platforms
Reporting Tools

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How to Get Hired at Talent Bridge

  • Research Talent Bridge's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your resume to highlight experience in financial data research, analysis, and remote work, using keywords from the job description.
  • Showcase your data skills: Prepare to discuss specific examples of your proficiency with CSV, Excel, PDF data handling and resource discovery.
  • Prepare for behavioral interviews: Practice articulating how you manage time independently, ensure data accuracy, and communicate complex findings clearly.
  • Demonstrate problem-solving: Be ready to share instances where you've solved complex data challenges or provided critical financial insights.

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