Remote Jobs

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Data Analyst

reserv

Location
Georgia
Posted

Data Analyst at Reserv, working on AI-driven claims automation and delivering high-fidelity data insights.

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Frontend Engineer (Data team)

Binance

Location
Brunei Darussalam
Posted

Frontend Engineer (Data team) at Binance: Build AI platform, optimize business iteration, and collaborate with world-class talent.

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Entry-Level AI Data Rater - Spanish (Spain)

Welocalize

Location
Spain
Posted

Freelance AI Data Rater - Spanish (Spain) - Conduct research, evaluate e-commerce data, and rate its usefulness based on project guidelines.

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Senior Software Engineer - Data Platform

Lime

Location
Canada
Posted

Data Platform Engineer at Lime: build scalable platforms, lead new product initiatives, and mentor other engineers in a fast-growing company with competitive salaries and benefits.

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Senior Manager - IT Corporate Data & Analytics

Anaplan

Location
United States of America
Posted

Lead a team of IT business data analysts to design scalable analytics tools and processes. Collaborate with global stakeholders to drive data-driven decisions across Anaplan's IT departments, supporting functions like Engineering, Customer Experience, Enterprise Apps, Integrations, and Revenue Applications. Optimize analytic processes and lead team development.

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Technical Support Analyst - Portugese Native

InvGate

Location
Argentina
Posted

Analista de Suporte Técnico Bilíngue em InvGate, trabalhando com clientes no Brasil e colaborando com equipes de desenvolvimento e sucesso do cliente.

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Remote Data Annotator - German (Romania)

Welocalize

Location
Romania
Posted

Freelance Data Annotator - German (Romania) - Conduct research on e-commerce data, rate products, and contribute to AI advancements.

Binance logo

Business Intelligence Analyst - KYB Team

Binance

Location
Brunei Darussalam
Posted

Business Intelligence Analyst at Binance: Drive data-driven decision-making and enhance KYB operations with advanced analytics skills and flexible remote work options.

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Senior Data Scientist (Onchain Analytics)

Binance

Location
Brunei Darussalam
Posted

Senior Data Scientist (Onchain Analytics) at Binance: Lead compliance systems development and drive operational effectiveness

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Growth Marketing Associate - Product & Data

Rocket Money

Location
United States of America
Posted
Salary Range
60k - 80k USD

Manage Rocket Money's marketing technology systems, support growth strategies, collaborate with cross-functional teams, and drive data-driven decisions to optimize processes and implement new tools.

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Senior Practice Manager - Data Engineering

Rackspace

Location
United States of America
Posted
Salary Range
180k - 308k USD

Lead data engineering practice across AWS & GCP platforms, develop data solution strategies, and deliver successful outcomes for clients

Binance logo

Compliance Case Analyst - Tamil Speaker

Binance

Location
Brunei Darussalam
Posted

Compliance Case Analyst at Binance: Handle law enforcement inquiries, blockchain tracing, and pre-SAR filing controls in a user-centric global organization.

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KYB Analyst - Periodic Review (French Speaking)

Binance

Location
Estonia
Posted

KYB Analyst - Periodic Review (French Speaking) job description: Conduct thorough due diligence on clients, manage personal workload, and ensure timely escalation of key risks/issues.

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Sr. Data Solutions Developer

hims & hers

Location
United States of America
Posted
Salary Range
130k - 150k USD

Senior Data Solutions Developer for reporting infrastructure and enablement roles with Looker expertise

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Turkish Advanced AI Data Trainer

Invisible Technologies

Location
Anywhere in the world
Posted
Salary Range
10 - 11 USD

Train AI models in Turkish for safe, accurate, and beneficial conversations

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Entry-Level AI Data Rater - English (UK)

Welocalize

Location
United Kingdom
Posted

Freelance AI Data Rater - Conduct research, evaluate e-commerce data, and rate its usefulness according to guidelines.

reserv logo

Data Analyst

reserv

Job Summary

Reserv is an insurtech company that aims to bring efficiency and simplicity to claims through AI and automation technology. As a Data Analyst at Reserv, you will work with customers to deliver high-fidelity data and insights that improve the claims business. You will be responsible for defining growth potential, developing automated reporting, and conducting analysis on new data assets. The role requires strong Python and SQL skills, as well as the ability to communicate effectively with both technical and non-technical audiences. Reserv values diversity in backgrounds and perspectives, and offers a range of benefits including health insurance, 401(k) matching, and flexible work arrangements.

Description

About Reserv

Reserv is an insurtech creating and incubating cutting-edge AI and automation technology to bring efficiency and simplicity to claims. Founded by insurtech veterans with deep experience in SaaS and digital claims, Reserv is venture-backed by Bain Capital and Altai Ventures and began operations in May 2022. We are focused on automating highly manual tasks to tackle long-standing problems in claims and set a new standard for TPAs, insurance technology providers, and adjusters alike.

We have ambitious (but attainable!) goals and need people who can work in an evolving environment. If building a leading TPA and the prospect of tackling the long-standing challenges of the claims role sounds exciting, we can’t wait to meet you.

 

About the role

As Data Analyst at Reserv, you will be defining our growth potential for years to come. You will be an integral part of Reserv’s data team, working with our customers to deliver high fidelity data and insights that improve the claims business.

For this role, we are seeking an analytics professional with strong Python and SQL skills and the desire to learn and grow in their role. This role will require you to own day to day analysis with our claims leaders, developing automated reporting for our larger customers and conducting analysis on new data assets to bring them into Reserv’s canonical data schema.

 

What we need

We need you to do all the things typical to the role:

  • Work with our data stack: Python (Pandas to NLTK), Postgres, Looker, ECS, Docker etc.
  • Serve as a technical liaison between Reserv and our largest customers
  • Ship reporting code that solve for our customers needs
  • Dive into and find improvements to our operational processes with the view to improving both the claimant experience and the economics of claims handling
  • Communicate ideas and specifications through detailed, precise writing
  • Influence the culture, values, and processes of a growing engineering team
  • Enjoy and have fun being creative and thinking outside of the box. You will need to draw on analogous situations you’ve worked on before, but we are not traversing well-traveled roads. “Where we’re going, we don’t need roads!”



Requirements

  • 3-5 years of experience in a data science or analytics role, preferably within the insurance and/or claims space, with experience working independently / in a small team.
  • A proven ability to interface with high value customers and communicate with both technical and non technical audiences alike
  • Have a proven track record of shipping high quality data analysis at a high cadence.
  • A passion for building intuitive technology and a thirst for learning
  • Able to think through customer requirements and prioritize what is a must-have, nice-to-have, or irrelevant
  • Have a strong technical skillset but also the willingness and ability to take over tasks outside your core competency

 

Benefits

  • Generous health-insurance package with nationwide coverage, vision, & dental
  • 401(k) retirement plan with employer matching
  • Competitive PTO policy – we want our employees fresh, healthy, happy, and energized!
  • Generous family leave policy
  • Work from anywhere to facilitate your work life balance
  • Apple laptop, large second monitor, and other quality-of-life equipment you may want. Technology is something that should make your life easier, not harder!

 


At Reserv, we value diversity in backgrounds, perspectives, and life experiences and believe that diversity in viewpoints and critical thinking drives innovation, first-principles thinking, and success. We welcome applicants from all backgrounds and encourage those from all walks of life to apply. If you believe you are a good fit for this role, we would love to hear from you!