Apply

Senior Data Analyst

Posted 3 days agoViewed

View full description

πŸ’Ž Seniority level: Senior, 10 years

πŸ” Industry: Fintech

⏳ Experience: 10 years

Requirements:
  • An advanced degree in computer science, statistics, mathematics, or a related field.
  • A minimum of 10 years of professional experience in data analysis, with a strong track record of delivering impactful solutions.
  • Required: experience in: SQL, Python, R, and data visualization tools.
Responsibilities:
  • Provide ongoing technical problem-solving and data analysis to support business needs effectively.
  • Experience analyzing consumer front-end data to identify barriers to conversion and drive improvements.
  • Provide insights to inform product decisions that enhance front-end user experience and increase conversion rates.
  • Support the product team by identifying and quantifying opportunities for optimization in the B2B2C funnel.
  • Collaborate with product managers to measure the success of initiatives related to consumer engagement and acquisition.
  • Track and report on conversion metrics, CAC, and ROI, offering recommendations to improve performance.
  • Use data-driven insights to help minimize ad spend while maximizing organic conversions.
Apply

Related Jobs

Apply
πŸ”₯ Senior Data Analyst
Posted about 3 hours ago

πŸ“ United States

πŸ’Έ 122400.0 - 195500.0 USD per year

πŸ” Digital Health

🏒 Company: HeadspaceπŸ‘₯ 11-50WellnessHealth CareChild Care

  • 5+ years of well-rounded analytics experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in dynamic, rapid growth environments.
  • 3+ years of experience working directly with executive leadership and product leaders, demonstrating the ability to align analytics initiatives with strategic goals.
  • 5+ years of analytics experience focused on customer growth, engagement, and lifecycle optimization.
  • Own and drive strong business outcomes through impactful data projects.
  • Collaborate with cross-functional teams to translate complex business problems into scalable analytical frameworks.
  • Act as a trusted advisor on advanced statistical analysis, data science modeling, experimental design, methodology, and financial impact analysis, ensuring adherence to best practices across the organization.

AWSSQLData AnalysisETLTableauData scienceSparkAnalytical SkillsData visualizationFinancial analysisData modelingData analytics

Posted about 3 hours ago
Apply
Apply

πŸ“ Canada

πŸ’Έ 81000.0 - 101200.0 CAD per year

🏒 Company: TwilioπŸ‘₯ 5001-10000πŸ’° $378,215,525 Post-IPO Equity over 3 years agoπŸ«‚ Last layoff over 1 year agoMessagingSMSMobile AppsEnterprise SoftwareSoftware

  • 6+ years of experience in data analytics, with at least 2 years supporting GTM functions (i.e. Sales, Marketing, Operations)
  • Proven ability to analyze large datasets, draw meaningful insights, and translate findings into actionable recommendations
  • Comfortable working in a fast-paced, ambiguous environment with shifting priorities
  • Strong strategic thinking and problem-solving skills, with a proactive, self-directed mindset
  • Excellent communication skills, including experiencing presenting insights to executive leadership and cross-functional teams
  • Deep understanding of Salesforce and GTM metrics reporting
  • Advanced proficiency with Tableau, SQL, Looker, Excel, and Google Sheets
  • Own GTM Finance reporting and dashboarding to provide visibility into key performance metrics across the entire GTM organization (including Sales, Global Operations, Strategic Partnerships)
  • Analyze sales productivity, pipeline trends, win rates, and revenue tracking to support accurate forecasting and establish sales targets aligned with financial plans
  • Drive operational efficiency across the GTM Finance team by automating processes, optimizing dashboards, and streamlining recurring reporting
  • Partner cross-functionally with GTM teams and Finance to identify business drivers, uncover growth opportunities, and improve data accuracy
  • Develop reporting and metrics on Deal Desk activity to enhance operational efficiency
  • Deliver strategic insights to senior leaders through clear storytelling, turning complex data into actionable recommendations
  • Champion data quality and AI adoption by partnering with our GTM Strategy and Operations team, as well as our Business Intelligence team to ensure reliable, scalable reporting infrastructure
  • Adapt in a dynamic work environment and contribute to broader GTM Finance initiatives as needed

PythonSQLData AnalysisSalesforceTableauCommunication SkillsData visualizationFinancial analysisData modelingData analytics

Posted 1 day ago
Apply
Apply

πŸ“ Canada, United States

πŸ’Έ 81000.0 - 101200.0 CAD per year

  • 6+ years of experience in data analytics, with at least 2 years supporting GTM functions (i.e. Sales, Marketing, Operations)
  • Proven ability to analyze large datasets, draw meaningful insights, and translate findings into actionable recommendations
  • Comfortable working in a fast-paced, ambiguous environment with shifting priorities
  • Strong strategic thinking and problem-solving skills, with a proactive, self-directed mindset
  • Excellent communication skills, including experiencing presenting insights to executive leadership and cross-functional teams
  • Deep understanding of Salesforce and GTM metrics reporting
  • Advanced proficiency with Tableau, SQL, Looker, Excel, and Google Sheets
  • Own GTM Finance reporting and dashboarding to provide visibility into key performance metrics across the entire GTM organization (including Sales, Global Operations, Strategic Partnerships)
  • Analyze sales productivity, pipeline trends, win rates, and revenue tracking to support accurate forecasting and establish sales targets aligned with financial plans
  • Drive operational efficiency across the GTM Finance team by automating processes, optimizing dashboards, and streamlining recurring reporting
  • Partner cross-functionally with GTM teams and Finance to identify business drivers, uncover growth opportunities, and improve data accuracy
  • Develop reporting and metrics on Deal Desk activity to enhance operational efficiency
  • Deliver strategic insights to senior leaders through clear storytelling, turning complex data into actionable recommendations
  • Champion data quality and AI adoption by partnering with our GTM Strategy and Operations team, as well as our Business Intelligence team to ensure reliable, scalable reporting infrastructure
  • Adapt in a dynamic work environment and contribute to broader GTM Finance initiatives as needed

PythonSQLData AnalysisSalesforceTableauReportingData visualizationFinancial analysisData modelingFinanceData analytics

Posted 2 days ago
Apply
Apply

πŸ“ Canada

πŸ’Έ 81000.0 - 101200.0 CAD per year

  • 6+ years of experience in data analytics, with at least 2 years supporting GTM functions (i.e. Sales, Marketing, Operations)
  • Proven ability to analyze large datasets, draw meaningful insights, and translate findings into actionable recommendations
  • Comfortable working in a fast-paced, ambiguous environment with shifting priorities
  • Strong strategic thinking and problem-solving skills, with a proactive, self-directed mindset
  • Excellent communication skills, including experiencing presenting insights to executive leadership and cross-functional teams
  • Deep understanding of Salesforce and GTM metrics reporting
  • Advanced proficiency with Tableau, SQL, Looker, Excel, and Google Sheets
  • Own GTM Finance reporting and dashboarding to provide visibility into key performance metrics across the entire GTM organization (including Sales, Global Operations, Strategic Partnerships)
  • Analyze sales productivity, pipeline trends, win rates, and revenue tracking to support accurate forecasting and establish sales targets aligned with financial plans
  • Drive operational efficiency across the GTM Finance team by automating processes, optimizing dashboards, and streamlining recurring reporting
  • Partner cross-functionally with GTM teams and Finance to identify business drivers, uncover growth opportunities, and improve data accuracy
  • Develop reporting and metrics on Deal Desk activity to enhance operational efficiency
  • Deliver strategic insights to senior leaders through clear storytelling, turning complex data into actionable recommendations
  • Champion data quality and AI adoption by partnering with our GTM Strategy and Operations team, as well as our Business Intelligence team to ensure reliable, scalable reporting infrastructure
  • Adapt in a dynamic work environment and contribute to broader GTM Finance initiatives as needed

SQLData AnalysisSalesforceTableauData visualizationFinancial analysisData analytics

Posted 2 days ago
Apply
Apply

πŸ“ Canada, United States

πŸ’Έ 81000.0 - 101200.0 CAD per year

  • 6+ years of experience in data analytics, with at least 2 years supporting GTM functions (i.e. Sales, Marketing, Operations)
  • Proven ability to analyze large datasets, draw meaningful insights, and translate findings into actionable recommendations
  • Comfortable working in a fast-paced, ambiguous environment with shifting priorities
  • Strong strategic thinking and problem-solving skills, with a proactive, self-directed mindset
  • Excellent communication skills, including experiencing presenting insights to executive leadership and cross-functional teams
  • Deep understanding of Salesforce and GTM metrics reporting
  • Advanced proficiency with Tableau, SQL, Looker, Excel, and Google Sheets
  • Own GTM Finance reporting and dashboarding to provide visibility into key performance metrics across the entire GTM organization (including Sales, Global Operations, Strategic Partnerships)
  • Analyze sales productivity, pipeline trends, win rates, and revenue tracking to support accurate forecasting and establish sales targets aligned with financial plans
  • Drive operational efficiency across the GTM Finance team by automating processes, optimizing dashboards, and streamlining recurring reporting
  • Partner cross-functionally with GTM teams and Finance to identify business drivers, uncover growth opportunities, and improve data accuracy
  • Develop reporting and metrics on Deal Desk activity to enhance operational efficiency
  • Deliver strategic insights to senior leaders through clear storytelling, turning complex data into actionable recommendations
  • Champion data quality and AI adoption by partnering with our GTM Strategy and Operations team, as well as our Business Intelligence team to ensure reliable, scalable reporting infrastructure
  • Adapt in a dynamic work environment and contribute to broader GTM Finance initiatives as needed

SQLSalesforceTableauReportingData visualizationFinancial analysisData modelingData analytics

Posted 2 days ago
Apply
Apply

πŸ” Life sciences

  • 5+ years of work experience in data analysis or data quality role
  • Strong technical skills in data analysis, with proficiency in SQL and Python
  • Experience in data storage and processing on cloud platforms such as AWS, GCP, or Azure
  • Strong problem-solving skills and experience working with cross-functional teams
  • Experience writing process documentation and data collection guidelines
  • Implement a data governance framework
  • Establish and maintain robust processes for tracking and assessing data quality
  • Develop automated checks to proactively detect data inconsistencies
  • Apply statistical techniques to enhance data quality
  • Create customized reports and dashboards
  • Extract data from databases (e.g., Redshift, MongoDB)
  • Identify and resolve root causes of quality issues
  • Collaborate in cross-functional teams of product managers, engineering, and operations
  • Create and maintain documentation
Posted 5 days ago
Apply
Apply

πŸ“ USA, Canada

🧭 Full-Time

πŸ” Healthcare

🏒 Company: Maximus Health, Inc.

  • 5+ years of experience in data analysis, business intelligence, or a related field.
  • Strong proficiency in SQL, dbt, and Python for data manipulation, analysis, and visualization.
  • Experience with BigQuery and BI tools such as Looker or Metabase.
  • Solid understanding of statistical concepts and their application in data analysis.
  • Experience in healthcare, e-commerce, and digital marketing analytics is highly desirable.
  • Proven track record of translating complex data into actionable insights for non-technical stakeholders.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills, both written and verbal.
  • Bachelor's degree in Statistics, Computer Science, Mathematics, or a related field. Advanced degree is a plus.
  • Analyze and interpret complex data sets to provide actionable insights to various stakeholders across the organization, including business, healthcare, e-commerce, and marketing metrics.
  • Develop and maintain dashboards and reports using BI tools like Looker or Metabase to effectively communicate data-driven insights.
  • Collaborate closely with Product, Marketing, Finance, and Operations to understand their data needs and provide the required insights.
  • Design and implement data models and database structures to support efficient data analysis and reporting.
  • Identify trends, patterns, and anomalies in data to support strategic decision-making and business growth.
  • Develop and maintain documentation for data processes, methodologies, and analyses.
  • Contribute to the continuous improvement of data quality, data governance, and analytical processes.
  • Participate in cross-functional projects, particularly those involving healthcare data around telemedicine visits and health diagnostics like blood testing.
  • Proactively identify opportunities for data-driven improvements across the business.

PythonSQLData AnalysisMachine LearningAnalytical SkillsData visualizationDigital MarketingData modelingData analytics

Posted 5 days ago
Apply
Apply

πŸ’Έ 107000.0 - 164000.0 USD per year

πŸ” Travel

  • 2+ years experience with a mainstream dashboarding tool such as Looker
  • A bachelor’s degree in data science, analytics, mathematics, or a relevant field
  • Solid understanding of pricing mechanics and A/B testing
  • Strong in SQL, familiar with DBT, and some experience with Git
  • Intermediate at Python for data science and process automation with on-the-job experience (can be within a co-op or internship environment)
  • Champion a Data-Driven Culture – Act as an ambassador for data-driven decision-making, using data to answer business questions, drive strategy, and deliver measurable results.
  • Manage and Organize Data – Access, clean, and structure raw data efficiently, ensuring it is useful for reporting and, at times, production.
  • Develop Powerful Visualizations – Create reports that help your multi-disciplinary team track quarterly key performance metrics (OKRs).
  • Deliver High-Impact Presentations – Present deep-dive findings and regular project/progress summaries to key stakeholders, guiding informed decision-making.
  • Tackle Complex Business Questions – Apply advanced quantitative analysis to solve critical business challenges, such as optimizing room pricing, analyzing member attach rates, and evaluating the performance of machine learning applications.
  • Ensure Statistical Rigor – Design and evaluate experiments, determine statistical significance, run power tests, and make data-backed recommendations on when to rollout, iterate, optimize, or pivot.
Posted 7 days ago
Apply
Apply

πŸ“ Around the world

πŸ’Έ 107000.0 - 164000.0 USD per year

πŸ” Finance

  • 2+ years experience with a mainstream dashboarding tool such as Looker
  • Experience working in a fast-paced Finance role, or at a start-up
  • Strong in SQL, familiar with DBT, and some experience with Git
  • Proficient in Python for data science and process automation with on-the-job experience (can be within a co-op or internship environment)
  • Champion a Data-Driven Culture – Act as an ambassador for data-driven decision-making, using data to answer business questions, drive strategy, and deliver measurable results.
  • Manage and Organize Data – Access, clean, and structure raw data efficiently, ensuring it is useful for reporting and, at times, production.
  • Develop Powerful Visualizations – Create automated ledger and Looker reports that help the Finance team track quarterly key performance metrics and short-term-incentive-plan goals.
  • Deliver High-Impact Presentations – Present deep-dive findings and regular project/progress summaries to key stakeholders, guiding informed decision-making.
  • Tackle Complex Business Questions – Apply advanced quantitative analysis like forecasting to project future performance of new and existing initiatives.
  • Ensure Statistical Rigor – Design and evaluate experiments, determine statistical significance, run power tests, and make data-backed recommendations on when to rollout, iterate, optimize, or pivot.
Posted 11 days ago
Apply
Apply

πŸ“ Canada

🧭 Full-Time

πŸ’Έ 106000.0 - 128000.0 CAD per year

πŸ” Healthcare

🏒 Company: PurposeMedπŸ‘₯ 101-250πŸ’° $3,792,112 Seed almost 4 years agoPharmaceuticalPersonal HealthMedicalHealth Care

  • 5+ years of hands-on experience in data analytics, with a strong foundation in analytics engineering, BI, and statistical analysis
  • Strong SQL skills and experience with modern data transformation tools (e.g., dbt, Airflow)
  • Experience with BI or data visualization tools like Looker, Tableau, or Power BI
  • The ability to partner with stakeholders, translate business needs into data solutions, and communicate insights effectively
  • Comfort with ambiguityβ€”someone who is able to break down open-ended questions into structured analysis
  • Strong analytical and problem-solving skills, with the ability to analyze large and complex data sets
  • Excellent communication (verbal and written) and collaboration skills, with the ability to work effectively with cross-functional teams
  • Collaborating with business leaders to define core business metrics and creating dashboards and tools to monitor the health of the business
  • Being our visualization domain expert with BI platforms and other data visualization tools
  • Reconciling data across a diverse set of tools, ensuring accuracy, driving data flow improvements, and maintaining data quality and integrity in partnership with the Data Engineering team
  • Partnering directly with internal collaborators to understand data needs and performing in-depth analysis to understand the underlying causes of changes in business performance
  • Delivering results and managing projects on time with respect to business priorities
  • Utilizing statistical and analytical techniques to extract insights from large and complex data sets

SQLBusiness IntelligenceData AnalysisData engineeringCommunication SkillsAnalytical SkillsData visualizationData modelingData analytics

Posted 14 days ago
Apply

Related Articles

Posted about 1 month ago

Why remote work is such a nice opportunity?

Why is remote work so nice? Let's try to see!

Posted 7 months ago

Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?

Posted 8 months ago

Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.

Posted 8 months ago

Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.

Posted 8 months ago

Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.