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Remote Data Analyst Opt Jobs in Indiana (NOW HIRING)

Recruitment Room

$60 - $90/hr

Data Analysis / Analytics Expert Hourly Contract Remote Compensation: $60$90 per hour Overview We ... Sponsorship for H1‑B or STEM OPT visas is not available. About the Work This is an opportunity to ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... data analysis, systems analysis, quality assurance, and CMS data reporting and compliance in the ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... data analysis, systems analysis, quality assurance, and CMS data reporting and compliance in the ...

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

Summary The Operations Data Analyst plays a critical role in driving operational efficiency and ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Conduct data profiling and analysis to assess data quality and identify issues prior to migration ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

Recruitment Room

$90 - $130/hr

This role involves analyzing complex financial data, preparing structured reports, and ensuring ... Fully remote role, flexible schedule. * Weekly payments via Stripe or Wise based on services ...

CSAA

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... OPT Training Plans, etc.). Mobilitas Insurance Group is an equal opportunity employer. . The ...

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Remote Data Analyst Opt jobs near you

Data Analysis / Analytics Expert

Recruitment Room

Remote

$60 - $90/hr

Contractor

Posted 9 days ago

Job description

Data Analysis / Analytics Expert

Hourly Contract Remote

Compensation: $60$90 per hour

Overview

We are seeking experienced Data Analysts to transform raw data into actionable insights. This role combines statistical rigor, visualization, and structured reporting to support decision‑making across diverse industries. You will contribute to projects that require analytical precision, clear communication, and collaboration with cross‑functional teams.

Key Responsibilities

  • Apply statistical tools and models to extract meaningful insights.

  • Develop visualizations that communicate findings clearly to stakeholders.

  • Evaluate datasets for accuracy, completeness, and reliability.

  • Provide structured reports with actionable recommendations.

  • Identify trends and patterns that inform business or research strategies.

  • Collaborate remotely with engineers, researchers, and business teams.

Ideal Qualifications

  • Degree in Statistics, Data Science, Computer Science, Economics, or related field.

  • 2+ years of professional experience in data analysis or business intelligence.

  • Proficiency in SQL, R, Python, and visualization tools (Tableau, Power BI, matplotlib).

  • Strong analytical reasoning and attention to detail.

  • Clear written and verbal communication skills.

Project Timeline

  • Start Date: Immediate

  • Duration: As required

  • Commitment: Part‑time, 20+ hours per week

Application Onboarding

  • Submit your resume and application form.

  • Complete a 30‑minute interview covering background, technical expertise, and motivations.

  • Receive onboarding details within a few days.

Contract Payment Terms

  • Independent contractor engagement.

  • Fully remote role, flexible schedule.

  • Weekly payments via Stripe or Wise based on services rendered.

  • Projects may be extended, shortened, or concluded early depending on needs and performance.

  • Please note: Sponsorship for H1‑B or STEM OPT visas is not available.

About the Work

This is an opportunity to leverage your analytical expertise in shaping systems and strategies that rely on data‑driven insights. You will contribute to projects that combine statistical rigor with practical application, ensuring clarity, accuracy, and impact in decision‑making.