Remote Data Analyst Jobs

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United States, CanadaFull-TimeConnected Operations CloudPosted

Senior Data Analyst

Translate data into strategic insights via memos, presentations, dashboards, etc. to support decision-making for operational and leadership teams
Building analytical models to identify patterns, anomalies, and root causes (e.g., analyzing sensor temperatures to spot unhealthy devices)
Build relationships with technical and non-technical stakeholders to understand data structures and business priorities
Build a strong sense of product and data acumen (e.g. customer experience, data logging)
Perform a variety of exploratory analyses that help us understand the health of our products and identify opportunities for improvement and optimization
Champion, role model, and embed Samsara’s cultural principles as we scale globally and across new offices

Python SQL Tableau+1 more

U.S., CanadaFull-TimeE-commercePosted

Senior Data Analyst

Drive meaningful, measurable impact by grounding CRM and Lifecycle decisions in rigorous analysis, experimentation, and long-term value thinking
Design, execute, and analyze CRM experiments and campaigns that improve user engagement and business outcomes across email, push, SMS, and emerging surfaces
Build, own, and evolve dashboards and reporting that provide clear visibility into lifecycle performance and opportunities for optimization
Partner closely with CRM marketers and leadership to shape measurement frameworks, evaluate tradeoffs, and prioritize high-impact initiatives
Partner with CRM and Lifecycle teams to evaluate and measure AI-driven capabilities (e.g., within CRM platforms and adjacent tools), assessing performance and tradeoffs relative to manual approaches through experimentation, analysis, and clear recommendations
Support adjacent product analytics needs as capacity allows, helping teams better understand user behavior and the impact of new initiatives
Own your domains end-to-end, maintaining a deep understanding of the users, surfaces, and business outcomes you support
Manage stakeholder relationships, priorities, and analytical requirements on an ongoing basis, operating as a trusted senior individual contributor

SQL Data Analysis Google Analytics

United StatesFull-TimeSaaS ImplementationPosted

Data Analyst

Company:NMI(101-250 employees, Internet, Credit, E-Commerce)

Manage full-lifecycle implementation of a payments industry CRM and Residuals platform.
Act as the subject matter expert for the Residuals module.
Solve residual calculation tickets using Excel and the Merchant Central platform.
Interact with clients over Zoom and email regarding residual calculations and configuration updates.
Create new mathematical formulas and verify existing formulas for residual income calculations.
Provide guidance on using and configuring the Merchant Central Residuals module.
Log software issues, bugs or inconsistencies using JIRA and Zendesk.
Create visual mockups and written descriptions of suggestions for the development team.
Train and coach new clients on the benefits of Merchant Central.
Educate yourself about the payments industry.
Collaborate with cross-functional teams to define data needs and implement data-driven solutions.
Communicate findings effectively to technical and non-technical stakeholders.
Assist in conducting ad-hoc analyses and data extraction.

SQL Data Analysis Jira+3 more

40+ countriesFull-TimeFintechPosted

Data Analyst (Remote - Work from Anywhere)

Company:Xapo Bank(251-500 employees, Accounting, Bitcoin, Financial Services)

Translate data into strategy by analyzing transactional data and financial performance to generate insights that drive Xapo’s growth.
Synthesize findings and communicate them in a clear, practical, and actionable way through visualisations and storytelling.
Write and manage end-to-end data pipelines.
Design and maintain Looker dashboards to enable self-service analytics for stakeholders.
Act as a strategic partner to the Finance and Treasury teams, as well as other teams across the company, translating business questions into technical data requirements.
Support stakeholders in interpreting and using data in their day-to-day work, providing actionable recommendations based on analysis.
Support the Finance and Treasury teams in identifying and achieving financial efficiencies and delivering strategic recommendations to the business.
Ensure data accuracy and maintain a single source of truth across all reporting.
Automate and improve data processes by implementing analytics and predictive modelling tools.
Continuously identify opportunities to improve data-related processes and approaches.

Python SQL Data Analysis+2 more

CanadaFull-TimeFintech, CryptoPosted

Senior Product Data Analyst

Company:Binance.US

Own product analytics and experimentation for consumer-facing products.
Design, execute, and analyze A/B and multivariate experiments.
Partner with Product Managers to define hypotheses and success metrics.
Conduct deep-dive analysis on user behavior and funnels.
Translate analytical findings into actionable recommendations.
Develop and maintain key product KPIs and dashboards.
Ensure accurate event tracking and data instrumentation.
Build analytical models or ML solutions where appropriate.
Act as a data leader within product teams.
Support ad-hoc analyses and strategic deep dives.

Python SQL Data Analysis+5 more

Ukraine, Poland, CzechiaFull-TimeData AnalysisPosted

Data Analyst

Company:Gypsy Collective

Continuously track key product and business KPIs.
Identify deviations from expected values and ensure timely reporting.
Investigate drops or fluctuations in metrics to distinguish symptoms from core issues.
Conduct deep-dive analyses to explain performance changes.
Establish benchmarks and compare results against internal standards.
Translate complex data sets into clear insights for stakeholders.
Propose specific actions to improve KPIs.
Partner with Product, Marketing, and Finance teams.
Empower teams to make data-informed decisions.

PostgreSQL Python SQL+6 more

WorldwideFull-TimeSoftware DevelopmentPosted

Senior Data Analyst (Fraud)

Company:Super.com

Analyzing complex datasets to identify patterns of fraudulent behaviour and generate actionable insights
Building and maintaining dashboards and reporting solutions for fraud monitoring
Collaborating with cross-functional teams to inform product roadmap and operational decisions
Investigating anomalies and support root cause analysis for fraud incidents
Supporting development and testing of fraud rules
Advocating for data quality, governance, and best practices
Communicating findings clearly to stakeholders
Independently identifying high-impact business problems and develop data-driven solutions

Python SQL Data Analysis+3 more

United StatesFull-TimeFinTechPosted

Credit Strategy Data Analyst

Company:Self Financial(251-500 employees, Internet, Financial Services, Personal Finance)

Support design and monitoring of EWA underwriting strategies and forecasting tools.
Translate analytical findings into clear recommendations for credit policies.
Support champion/challenger tests and experiment design for EWA risk strategies.
Assist in designing exposure limits, eligibility rules, and verification checks.
Query, clean, and analyze large bank transaction datasets using SQL and Python.
Build dashboards, reports and durable data assets to track customer behavior and credit performance.
Perform EDA, feature engineering, and data quality checks to drive trusted insights.
Prepare model inputs, evaluate new data sources, and track model performance.
Analyze performance of underwriting strategies and identify opportunities to improve accuracy and reduce losses.
Learn and introduce new analytical tools and techniques relevant to credit risk.
Partner with Product, Engineering, Data Science, and Operations to implement updates to policies and decisioning logic.
Support the coordination of initiatives with data suppliers.
Package insights into crisp narratives and presentations for stakeholders.

Python SQL Data Analysis+3 more

United StatesContractDigital AnalyticsPosted

Senior Data Analyst - US Remote, Contract

Company:DEPT®

Participate in discovery and requirements sessions
Collaborate with developers to document data layer specifications
Implement and validate events using Google Tag Manager
Configure and maintain Google Analytics 4 properties
Troubleshoot and validate tracking with debugging tools
Support GA4 data exports and modeling within BigQuery
Build reports and dashboards using Looker Studio
Perform quality assurance and ongoing maintenance
Collaborate with cross-functional teams
Support documentation, tagging governance, and measurement frameworks
Stay current with analytics best practices and privacy standards

SQL Data Analysis

BrazilFull-TimeAd TechPosted

Junior Yield Data Analyst (Remote in Brazil)

Company:Freestar(101-250 employees, Internet, Advertising, Information Technology)

Identify, analyze, and interpret trends in complex data sets to maximize publisher yield.
Extract and analyze bidstream and auction data to surface trends, anomalies, and optimization opportunities.
Develop and maintain analytic monitoring and alerting systems for yield management.
Produce data-driven summaries and actionable insights for internal teams and executives.
Support Yield Managers and Publishers in implementing data-driven best practices and monetization strategies.
Monitor macro and micro trends, providing proactive alerting on network or site-level issues and tracking key KPIs.
Investigate and respond to technical or operational issues to maximize yield without compromising user experience, site speed, or ad quality.
Build and maintain AB testing frameworks, reporting, and result interpretation.
Perform root cause analysis for data or ad-serving problems.
Act as a subject matter expert for Freestar data capabilities.
Project manage yield and data initiatives from planning through successful implementation.
Stay up-to-date on industry trends and emerging yield opportunities.

Project Management SQL Data Analysis+5 more

Shown 1-10 of 178

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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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