Remote Data Analyst Jobs

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Anywhere in the United StatesFull-TimeHealthcare, AIPosted

Operational Data Analyst

Company:Nabla

Analyze customer implementation data, product usage patterns, and lifecycle metrics to identify new areas of impact and clinical value.
Build and maintain dashboards that track Go Live performance, time-to-value benchmarks, and early indicators of customer engagement.
Quantify the impact of configuration decisions, workflow design, and feature utilization on customer outcomes.
Identify trends and recurring friction points across deployments, translating them into structured insights for Operations and Product teams.
Collaborate with Clinical Product to surface real-world deployment insights that inform roadmap prioritization and feature refinement.
Work with Sales and Customer Success to develop evidence-based narratives around product value and operational impact.
Work with the Marketing team to evaluate communication opportunities, shape messaging based on real-world product impact, and support the development of relevant content and thought leadership.
Support leadership with structured analysis to guide strategic decisions around customer segments, workflows, and growth opportunities.

SQL Tableau Looker

ColombiaFull-TimeSaaS, professional servicesPosted

Data Analyst (LTG)

Company:LTG(51-100 employees, Industrial, Machinery Manufacturing, Manufacturing)

Build, maintain, and improve reports and dashboards in Google Sheets that Sales, Customer Success, Finance, and Supports teams rely on to understand business health and inform decision making (pipeline health coverage, ARR movements, key SaaS metrics like NRR, LTV, CAC:LTV ratio and so on).
Support mission critical work around budget modelling, forecasting and timely commissions calculations.
Own data clean-up, deduplication, and enrichment across Salesforce: accounts, contacts, opportunities, subscriptions, and many custom objects we use to track engagement and sales.
Write and maintain macros (VBA) and Google Apps Script to automate recurring reporting, data validation, and tool creation.
Investigate data quality issues end-to-end: trace where bad data originates (manual entry, integrations, imports), propose process or system fixes, and implement them.
Partnering with Sales, RevOps, Customer Success, Finance, and Delivery leaders in order to translate ambiguous requirements into clear analyses with clear answers.
Document data definitions, ownership, and report logic so the team isn't dependent on whoever built the sheet last.
Support ad-hoc analysis and contribute to larger data and reporting projects.

Salesforce VBA Microsoft Excel+1 more

USCanadaUK+3 more locationsFull-TimeFintech, CryptoPosted

Data Analyst, Product

Company:Kraken(1001-5000 employees, Ethereum, Blockchain, Bitcoin)

Turn complex product data into clear, actionable insights to improve user experience, support new features, and deepen engagement.
Help leadership make high-impact product decisions.
Own end-to-end data management, including building and maintaining datasets and pipelines.
Design dashboards and insights for the Product and leadership teams.
Drive experimentation infrastructure and automate reporting workflows to boost efficiency and accelerate decision-making.
Own the design of dashboards, product metrics, and performance reports.
Automate product data solutions, reporting workflows, and pipelines.
Dive into large, complex datasets to turn findings into scalable data models.
Translate product and business requests into accurate reports and automated data pipelines using Python, SQL, dbt, and Airflow.
Lead cross-functional projects with analysts, engineers, and product teams to build and maintain high-quality data pipelines and sources.
Lead the design and launch of A/B testing frameworks, test hypotheses, and translate results into clear product recommendations.
Support ad-hoc data requests for feature performance, user onboarding, product reviews, and day-to-day business needs.
Deliver insights that shape product direction through clear, data-driven storytelling.

Python SQL Airflow+2 more

Full-TimeHealthcare SaaSPosted

Data Analyst

Company:QGenda(251-500 employees, Service Industry, Hospital, Medical Device)

Work with customers to receive data from their legacy systems and map that data to QGenda
Responsible for analyzing, preparing, and processing data sets to be consumed for the QGenda application
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Maintain data tools using Python, and SQL or other programming languages
Update data tools to tackle data formats that are not yet handled by the tool
Document customer criteria & data model mappings
Consult customers on best practices related to the migration of their data

AWS Python SQL+8 more

US and CanadaFull-TimeGamingPosted

Senior Data Analyst

Company:

Analyze large-scale game telemetry data to uncover player behavior trends, feature usage patterns, and performance insights
Design, build, and optimize datasets, tables, and analytical structures using advanced SQL
Perform exploratory data analysis to generate actionable insights for product, design, and engineering teams
Develop dashboards and visualizations using tools such as Tableau or Looker to support decision-making
Translate business and stakeholder needs into clear data requirements and scalable analytical solutions
Unify and analyze data from multiple structured and unstructured sources (SQL, NoSQL, cloud storage, and more)
Ensure high standards of data quality, modeling, and efficient data architecture practices
Act as a connector between technical and non-technical teams, enabling data-informed decision-making across the organization

Python SQL GCP+7 more

U.S.Full-TimeHealthcarePosted

Sr. Healthcare Data Analyst - Remote

Company:

Design and lead analytics for quality improvement, research, and care management projects
Develop and maintain dashboards, reports, and ad hoc analyses
Serve as a subject matter expert on healthcare data interpretation and use
Apply advanced statistical methods and programming solutions
Standardize analytic and reporting processes and documentation
Translate complex data into clear insights for leadership and stakeholders
Mentor and provide guidance to less-experienced analysts
Partner with IT and data governance teams to ensure data integrity and compliance

Python SQL Data Analysis+3 more

Anywhere in the U.S.Full-TimeHealthcarePosted

Senior Data Analyst - Healthcare

Company:

Design and lead analytics for quality improvement, research, and care management projects
Develop and maintain dashboards, reports, and ad hoc analyses
Serve as a subject matter expert on healthcare data interpretation and use
Apply advanced statistical methods and programming solutions
Standardize analytic and reporting processes and documentation
Translate complex data into clear insights for leadership and stakeholders
Mentor and provide guidance to less-experienced analysts
Partner with IT and data governance teams to ensure data integrity and compliance

Python SQL Microsoft Power BI+2 more

Anywhere in the U.S.Full-TimeHealthcarePosted

Senior Healthcare Data Analyst

Company:

Design and lead analytics for quality improvement, research, and care management projects
Develop and maintain dashboards, reports, and ad hoc analyses
Serve as a subject matter expert on healthcare data interpretation and use
Apply advanced statistical methods and programming solutions
Standardize analytic and reporting processes and documentation
Translate complex data into clear insights for leadership and stakeholders
Mentor and provide guidance to less-experienced analysts
Partner with IT and data governance teams to ensure data integrity and compliance

Python SQL Microsoft Power BI+2 more

U.S.Full-TimeHealthcarePosted

Senior Data Analyst - Healthcare

Company:

Design and lead analytics for quality improvement, research, and care management projects
Develop and maintain dashboards, reports, and ad hoc analyses
Serve as a subject matter expert on healthcare data interpretation and use
Apply advanced statistical methods and programming solutions
Standardize analytic and reporting processes and documentation
Translate complex data into clear insights for leadership and stakeholders
Mentor and provide guidance to less-experienced analysts
Partner with IT and data governance teams to ensure data integrity and compliance

Python SQL Microsoft Power BI+2 more

U.S.Full-TimeHealthcarePosted

Sr. Healthcare Data Analyst

Company:

Design and lead analytics for quality improvement, research, and care management projects
Develop and maintain dashboards, reports, and ad hoc analyses
Serve as a subject matter expert on healthcare data interpretation and use
Apply advanced statistical methods and programming solutions
Standardize analytic and reporting processes and documentation
Translate complex data into clear insights for leadership and stakeholders
Mentor and provide guidance to less-experienced analysts
Partner with IT and data governance teams to ensure data integrity and compliance

Python SQL Microsoft Power BI+2 more

Shown 1-10 of 156

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Remote Data Analyst Jobs

Data analysts are highly sought after as companies prioritize data-driven strategies. Whether you are just starting out or looking to advance your career from home, our platform is the top place to find and apply for the best jobs worldwide. Register on Remoote.app today and explore numerous data analyst jobs with leading companies hiring in the field of analytics!

Data Analyst Responsibilities

Analysts help businesses make smart decisions based on data. Their responsibilities include:

gathering, processing, and analyzing large datasets from various sources;
creating clear and informative reports and visualizations;
identifying patterns, trends, and anomalies in data;
supporting strategic business planning with data-driven insights;
collaborating with different departments to align analytics with company goals.

The most commonly sought-after skills that employers look for in data analysts are:

experience with Excel, SQL, Python, or R;
knowledge of BI platforms such as Power BI, Tableau, Looker;
ability to visualize data and create reports;
skills in statistical analysis and machine learning (for advanced positions).

Requirements vary depending on the company’s field of activity and the level of expertise needed.

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