Senior Data Analyst Jobs

Find remote senior data analyst positions. Browse through our curated list of opportunities and take the next step in your career.

Data Analyst
Senior
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📍 Brazil, Argentina, Italy, Portugal, Spain

🏢 Company: Oppizi👥 51-100Ad TargetingBrand MarketingMarketingAd RetargetingMarketing Automation

  • 5+ years of experience in product analytics, ideally in startups or scale-ups.
  • Proven expertise in analyzing growth, retention, activation, and monetization using tools like Amplitude, PostHog, or Pendo.
  • Hands-on experience with Product-Led Growth (PLG) and a strong understanding of PLG metrics
  • Advanced SQL and spreadsheet skills, with experience structuring data for analysis.
  • Experience designing and analyzing A/B tests and experiments.
  • Understanding of event tracking, including event definitions and organization.
  • Excellent communication and presentation skills—you can turn data into actionable insights that influence decisions.
  • Own daily tracking and insights, monitoring onboarding, adoption, and retention to ensure we act on real-time data.
  • Advance and maintain growth models, updating key spreadsheets to analyze trends, retention, and unit economics.
  • Support PMs and Designers by measuring the impact of new features, running A/B tests, and validating hypotheses.
  • Manage and advocate for PostHog (our product analytics tool), ensuring teams get maximum value from our data.
  • Participate in squads and product ceremonies, ensuring the product team is truly data-informed.
  • Analyze qualitative and quantitative data, combining user recordings, surveys, and behavior analytics to uncover insights.
  • Partner with the marketing team to integrate customer acquisition data, tracking how it impacts product growth, ROI, and unit economics.

SQLData AnalysisProduct ManagementGoogle AnalyticsProduct OperationsAmplitude AnalyticsTableauProduct AnalyticsREST APICommunication SkillsData visualizationFinancial analysisData modelingA/B testing

Posted about 8 hours ago
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📍 United States

💸 110400.0 - 137900.0 USD per year

🔍 SaaS

  • 5+ years of professional experience in developing technical BI and data analytics solutions in a fast paced industry.
  • Experienced in machine learning and Data science, particularly advanced forecasting techniques through either R or Python.
  • Experience working with SQL and relational and multidimensional database schemas and designs.
  • Extensive experience with Tableau and/or Looker.
  • Proven ability to map out problem solving frameworks and make strategic recommendations based on data to leadership.
  • Awareness of latest updates in industry such as Large Language Models (LLMs), Retrieval Augmented Generation, Robotic Process Automation concepts etc.
  • Conduct multi-disciplinary analysis to identify insights that help drive revenue growth initiatives and work cross-functionally to get the initiatives implemented
  • Develop data products that improve efficiency of partner teams and identify right key metrics to assess performance for different functional teams
  • Develop data process automation workflows to improve effectiveness of stakeholders analytics processes.
  • Be a true partner to stakeholders, understand real questions behind requests and advocate for the best long term solutions.
  • Be a true self starter who identifies needs, writes documentation for others, and takes ownership over analytic products that may require inputs from multiple stakeholders.
  • Partner with various business units including Finance, Go to Market, Data Engineering etc. on requirements for new datasets and metrics.
  • Work on process automation and optimization across teams in Twilio
  • Mentor junior analysts on the Business Intelligence team, as well as coach business stakeholders to promote a data savvy culture in the organization.

Project ManagementPythonSQLData AnalysisETLMachine LearningCross-functional Team LeadershipTableauData engineeringData scienceCommunication SkillsAnalytical SkillsRESTful APIsMentoringReportingData visualizationStakeholder managementStrategic thinkingFinancial analysisData modelingData analytics

Posted 1 day ago
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📍 São Paulo, BR, Rio de Janeiro, BR, Brasília, BR, Buenos Aires, AR, Lima, PE

🧭 Contract

💸 5200.0 - 6500.0 USD per month

🔍 Data Analytics

🏢 Company: Blue Orange Digital👥 101-250💰 $699,999 Corporate almost 3 years agoCloud Data ServicesArtificial Intelligence (AI)Big DataPredictive AnalyticsData IntegrationMachine LearningAnalyticsData VisualizationSoftware

  • 3–5 years of experience in data analysis or a related field.
  • Proficiency in writing PowerQuery and DAX.
  • Demonstrated experience in building interactive Power BI reports with advanced features.
  • Strong understanding of dimensional modeling techniques.
  • Proven ability to troubleshoot DAX and optimize the performance of Power BI reports.
  • Familiarity with configuring and managing Power BI services.
  • Experience working within Agile teams and participating in Agile ceremonies.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Develop and maintain Power BI reports, dashboards, and visualizations using PowerQuery and DAX.
  • Implement advanced Power BI features such as bookmarks, drill-throughs, and Row-Level Security.
  • Utilize dimensional modeling techniques to create and optimize data models.
  • Troubleshoot and optimize the performance of Power BI reports and dashboards.
  • Configure and manage Power BI services, including deployment and access controls.
  • Embed Power BI content into various applications and platforms.
  • Use source control systems to manage Power BI projects.
  • Collaborate with Agile teams, participating in sprint planning, daily stand-ups, and retrospectives.

SQLAgileData AnalysisMicrosoft Power BIREST APICI/CDData modeling

Posted 2 days ago
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📍 United States

🧭 Full-Time

💸 100000.0 - 105000.0 USD per year

🔍 IT Services

  • 5+ years of relevant experience
  • Bachelor’s degree or equivalent experience
  • Knowledge of portfolio management tools
  • Identify, manage and analyze data across IT portfolios
  • Create reports, dashboards, and visualizations
  • Regularly analyze and monitor portfolio performance
  • Apply strategic thinking and process improvement

SQLBusiness AnalysisBusiness IntelligenceData AnalysisMicrosoft Power BIData visualizationProcess improvement

Posted 2 days ago
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📍 United States, Canada

🧭 Full-Time

🔍 Cyber Security/Information Security

  • Bachelor's degree in Computer Science or equivalent experience
  • Experience with SQL, Tableau, and PowerBI
  • Familiarity with AWS, Azure, or GCP
  • Guide development of vulnerability management metrics
  • Evaluate and define functional requirements for vulnerability metrics
  • Develop and automate vulnerability metrics

AWSSQLGCPTableauAzure

Posted 3 days ago
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📍 United States

🧭 Full-Time

🔍 Healthcare Analytics

🏢 Company: Skilled Wound Care👥 51-100Health Care

  • Bachelor’s degree in Data Science, Statistics, or related field
  • 5+ years experience in data analysis and statistical modeling
  • Strong statistical foundation including p-values and machine learning
  • Proficiency in AI/ML tools like TensorFlow and PyTorch
  • Advanced skills in Python, R, or SQL
  • Experience with medical data or financial datasets
  • Familiarity with Metabase for BI reporting
  • Examine datasets for inconsistencies using statistical methods
  • Utilize statistical techniques for extracting insights
  • Work with AI/ML frameworks for improved data processing
  • Track medical billing and analyze financial data
  • Ensure statistical integrity in medical research analytics
  • Engage with cross-department teams for tailored analysis
  • Build dashboards and reports using Metabase

PythonSQLData AnalysisETLMachine LearningPyTorchTensorflow

Posted 4 days ago
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🧭 Full-Time

🏢 Company: Skilled Wound Care👥 51-100Health Care

  • Bachelor’s degree or higher in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • 5+ years of experience in data analysis, statistical modeling, and AI-driven analytics.
  • Strong statistical foundation, including expertise in p-values, significance testing, Bayesian analysis, and machine learning techniques.
  • Proficiency in AI/ML tools and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
  • Advanced programming skills in Python, R, or SQL for data manipulation and analysis.
  • Experience with Metabase for BI reporting and familiarity with Tableau, Power BI, or Looker.
  • Strong ability to identify inconsistencies, track financial data, and interpret complex datasets with precision.
  • Familiarity with ETL processes, data governance, and regulatory requirements in healthcare analytics (e.g., HIPAA, GDPR).
  • Examine large datasets for inconsistencies, anomalies, and errors using advanced statistical methods.
  • Utilize statistical techniques such as p-values, confidence intervals, regression models, hypothesis testing, and predictive analytics to extract meaningful insights.
  • Work with AI/ML frameworks to improve data processing and automate analytical workflows.
  • Track medical billing charges, payments, and revenue trends. Analyze financial data to identify inefficiencies and optimize revenue cycles. Provide detailed financial reports and data-driven recommendations to executives for business strategy.
  • Work with medical data, ensuring statistical integrity in research studies, clinical trials, and healthcare analytics.
  • Engage with research teams, healthcare professionals, billing teams, and business units to understand data needs and tailor analysis accordingly.
  • Build dashboards, generate reports, and provide insights using Metabase. Develop automated AI-enhanced dashboards and reports for improved decision-making.
Posted 4 days ago
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🔥 Senior Data Analyst
Posted 4 days ago

📍 United Kingdom

🧭 Full-Time

🔍 Financial Technology

🏢 Company: Flagstone Group LTD

  • 5+ years experience in Data Analytics or Data Science
  • Management experience of data analysts
  • Strong knowledge of applied statistical modeling
  • Significant experience in building Power BI solutions
  • Fluent in Python and SQL
  • Excellent stakeholder management skills
  • Design and deliver data analytics solutions
  • Act as project and delivery manager for Data Analytics team
  • Manage and mentor a team of data analysts
  • Enhance business intelligence and insights

LeadershipPythonSQLStakeholder managementData analytics

Posted 4 days ago
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📍 United States

🧭 Full-Time

💸 110000.0 - 147500.0 USD per year

🔍 Software Development

🏢 Company: Smartsheet👥 1001-5000💰 $3,200,000,000 Post-IPO Debt 5 months ago🫂 Last layoff almost 2 years agoSaaSEnterpriseSoftware

  • 5+ years experience as a data analyst
  • Hands-on experience with SQL, Excel, BI platforms
  • Strong knowledge of data analysis techniques
  • Familiarity with complex data structures and APIs
  • Collect, analyze, and interpret data from multiple sources
  • Develop and maintain reports and dashboards
  • Analyze impact of digital programs on CS KPIs
  • Uncover insights on program effectiveness
  • Identify trends and opportunities for decision making
  • Develop models to predict churn and retention

SQLBusiness IntelligenceData AnalysisETLTableauData visualizationData modeling

Posted 4 days ago
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🔥 Senior Data Analyst
Posted 6 days ago

📍 Germany, India, United States

🧭 Full-Time

💸 118500.0 - 189600.0 USD per year

🔍 Customer Relationship Management (CRM)

🏢 Company: HubSpot👥 1001-5000💰 $35,000,000 Series E over 12 years ago🫂 Last layoff about 1 year agoSaaSAnalyticsMarketingCopywritingSocial Media

  • 2+ years of professional experience with a heavy quantitative, analytical focus.
  • Practical experience influencing decision making with data in a business environment.
  • Experience working with large datasets including data mining, manipulation, and exploration.
  • Ability to write performant, complex SQL queries combining multiple sources of data.
  • Comfortable with data analytics and statistical tools such as R or Python.
  • Confidence using various analytical and statistical techniques.
  • Excellent communication, storytelling, and collaboration skills.
  • Be a driving influencer on the use and application of analysis; deliver what’s needed, and show what’s possible.
  • Partner with Marketing, Sales, and Product stakeholders to understand data and business needs and translate them into actionable insights.
  • Conduct quantitative analysis of user behavior to uncover opportunities to improve customer experiences.
  • Inform the design and outcomes of tests and experiments.
  • Collaborate across functions to infuse strategic research with quantitative insights.
  • Communicate insights with a data-driven point of view and plan for action.

PythonSQLData AnalysisData MiningETLGitAmplitude Analytics

Posted 6 days ago
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