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Remote Data Optimization Jobs in Angola, NY (NOW HIRING)

Clarasight

Data Scientist

Boston, NY · On-site +1

Have strong knowledge of corporate finance principles, cost optimization strategies, and economic ... Remote and Hybrid work environments. * Robust benefits including full medical, dental and vision ...

EnthuZiastic

Growth Hacker - Remote

Buffalo, NY · Remote

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Later

VP, Growth Marketing

Boston, NY · On-site +1

Guide SEO and AEO strategy as search shifts toward AI answer engines, protecting and growing Later ... Ensure data flows cleanly between CRM, marketing automation, and analytics tools so decisions rest ...

CannonDesign

Electrical Assessor II

Buffalo, NY · On-site +1

$57K - $79K/yr

Facility Optimization Solutions, LLC (FOS), is a subsidiary of CannonDesign. At FOS, it's all about ... This role is remote within the U.S., with a preference for candidates located in or near: Buffalo ...

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Remote Data Optimization information

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$15

$53

$77

How much do remote data optimization jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote data optimization in Angola, NY is $53.94, according to ZipRecruiter salary data. Most workers in this role earn between $44.28 and $63.89 per hour, depending on experience, location, and employer.

What is a remote data optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote data optimization specialist?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

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

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are remote data optimization jobs?

Remote data optimization jobs involve analyzing and improving the efficiency, accuracy, and accessibility of data within an organization. These roles often require skills in data management, database tools, and programming languages like SQL or Python, and may involve tasks such as data cleaning, structuring, and implementing data storage solutions from a remote work environment.

What cities near Angola, NY are hiring for Remote Data Optimization jobs?

Cities near Angola, NY with the most Remote Data Optimization job openings:

Remote Data Optimization jobs near you

Data Scientist

Clarasight

Boston, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 days ago

Key responsibilities

  • Design and develop product prototypes based on financial and travel spend analysis and client data.

  • Lead data integration efforts across diverse sources and formats to ensure clean, reliable datasets.

  • Explore and implement advanced techniques like machine learning and large language models to improve financial analytics tools.

Job description

About Us
Join us in building the leading AI-Powered Mission Control for Corporate Travel. Some of the world's most recognizable companies, representing over $4T in market value, rely on Clarasight's software to reduce risks, save costs, protect revenues, and manage emissions aligned with business objectives and sustainability goals.
About You
You are a builder at heart - curious, analytical, and energized by turning complex financial and travel data into tools that people actually use. You move fluidly between data science, prototyping, and product thinking, and you're just as comfortable exploring a messy dataset as you are shipping a prototype into customers' hands. You thrive on iteration, customer feedback, and the challenge of making advanced techniques - including machine learning and LLMs - deliver real, measurable value.
About the Role
  • We are seeking a Data Scientist to create product prototypes that address customer needs and enhance platform capabilities.
  • This role translates analytical insights into actionable tools, using advanced data techniques and customer feedback to shape what ships next.
  • You will work across financial and travel spend data, collaborate closely with advisory, forecasting, and engineering partners, and help define how data science shows up in the Clarasight product.
Key Responsibilities
Prototype & Product Development
  • Design and develop product prototypes based on financial and travel spend analysis and client data.
  • Utilize Python, R, JavaScript, or Tableau to build scalable, testable tools for customers.
  • Iterate on prototypes based on customer feedback to refine and improve usability.
  • Work with engineering teams to operationalize data science workflows, ensuring scalability and long-term viability of prototypes.

Data Integration & Insight Generation
  • Lead data integration efforts across diverse sources and formats, ensuring clean, reliable, and unified datasets that power analytics and product features.
  • Leverage customer datasets to identify trends, generate insights, and create impactful solutions.
  • Collaborate with advisory and forecasting specialists to integrate insights into product design.

Advanced Techniques & Visualization
  • Explore and implement advanced techniques like machine learning, use of large language models for preliminary analyses, or optimization to improve the accuracy, speed, and efficiency of financial analytics tools.
  • Create dynamic visualizations and dashboards to provide clients with actionable financial insights in an intuitive format.
You'll Be a Great Fit If You...
  • Have experience in data science with a focus on finance, economics, travel spend analytics, or corporate cost management.
  • Have expertise in data integration - including ETL pipelines, API connections, and harmonizing data across multiple systems and formats.
  • Are proficient in Python, R, or JavaScript for data analysis and tool development.
  • Are familiar with building and testing product prototypes in an iterative environment.
  • Have strong knowledge of corporate finance principles, cost optimization strategies, and economic modeling.
  • Have experience developing data-driven tools and applications that enable stakeholders to make informed financial decisions.
  • Can communicate complex concepts to non-expert audiences effectively.
Nice to Haves
  • Experience working alongside AI systems and applying human judgment to automated outputs.
  • Hands-on experience with LLMs or ML models applied to financial or spend data.
  • Familiarity with corporate travel, expense, or emissions datasets.
  • Experience shipping prototypes into production alongside engineering teams.
Diverse Perspectives
We know that innovation thrives on teams where diverse points of view come together to solve hard problems in ways that are just now possible. As such, we explicitly seek people that bring diverse life experiences, diverse educational backgrounds, diverse cultures, and diverse work experiences. Please be prepared to share with us how your perspective will bring something unique and valuable to our team.
We Offer
  • Generous options in our early stage startup for key members of the team.
  • Working among a diverse, expert team at the forefront of climate tech, behavioral change, and people technology.
  • Opportunity to make a foundational contribution to our mission: close the gap between climate-related intention and action.
  • Remote and Hybrid work environments.
  • Robust benefits including full medical, dental and vision insurance, 401k (or similar retirement programs) and sustainability benefit ($500 annually to spend on increasing personal sustainability).

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