Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Lead Data Analyst

Posted about 2 months agoViewed

View full description

💎 Seniority level: Lead, Minimum of 5 years in data analytics

📍 Location: DC, DE, GA, MA, MD, NC, NH, NJ, OH, PA, SC, UT, VA

🔍 Industry: Marketing communication software

🏢 Company: AWeber

🗣️ Languages: English

⏳ Experience: Minimum of 5 years in data analytics

🪄 Skills: SQLData AnalysisTableauData scienceCommunication SkillsCollaborationWritten communicationData visualization

Requirements:
  • Minimum of 5 years in data analytics experience.
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field (Master's preferred).
  • Proficient in SQL and experienced with analytics tools such as PostHog, Mixpanel, or Amplitude.
  • Familiarity with visualization platforms like Redash, Looker, or Tableau.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Ability to collaborate effectively with others.
  • Comfortable working independently in a remote setting.
  • Passionate about leveraging data to drive business success.
Responsibilities:
  • Collaborate with stakeholders to understand data analysis needs and deliver effective solutions.
  • Conduct thorough data analysis to uncover trends, patterns, and insights.
  • Translate data findings into actionable business initiatives and strategic recommendations.
  • Automate reporting processes to enhance data collection efficiency and improve dashboard visualizations.
Apply

Related Jobs

Apply
🔥 Lead Data Analyst, Customer Experience (Remote)
Posted 7 days ago

📍 United States of America

🧭 Full-Time

🔍 Pest Control and related services

🏢 Company: rentokilnorthamerica

  • Seven (7) years of relevant experience in data science or related analytical field.
  • Advanced knowledge of statistical/data mining methods and application.
  • Advanced knowledge of statistical and analytical model development.
  • Advanced knowledge of data modeling techniques and tools; R, Python, SAS, etc.
  • Advanced knowledge of visualization tools like PowerBI, Tableau, Quik, etc.
  • Master’s Degree in Computational Mathematics, Statistics or related field.
  • Certified specialist in predictive analytics or other data science related certifications.

  • Lead data mining and collection procedures; maintain governance with data architecture and business intelligence teams.
  • Ensure data quality and integrity.
  • Interpret and analyze data problems; translate into meaningful information and visualizations for executives.
  • Conceive, develop, and prioritize data projects in partnership with Cx leadership.
  • Build analytic systems and predictive models to support ongoing and future data needs.
  • Test and evaluate recommended solutions; manage tuning for improvement.
  • Experiment with new models and techniques to adapt solutions over time.
  • Align data projects with organization goals.
  • Build relationships to size analytical opportunities and create delivery plans for ROI.
  • Facilitate analytical discussions around data science applications, explore data modeling, and conduct exploratory data analysis.
  • Ensure compliance with regulatory requirements in model implementations.
  • Manage analytical projects prioritizing relevant activities and providing expertise.
  • Engage in personal development for ongoing skills enhancement.

PythonData MiningTableauData scienceData visualizationData modeling

Posted 7 days ago
Apply
Apply
🔥 Lead Data Analyst
Posted 12 days ago

📍 United States

🧭 Full-Time

🔍 Healthcare

🏢 Company: Mindoula Health👥 251-500💰 $27,250,000 Series C over 4 years agomHealthMedicalWellnessHealth Care

  • Bachelor's in Statistics, Mathematics, Computer Science, or a related quantitative discipline; Master's preferred.
  • Proven experience (7+ years) in data analytics, with 3+ years leading analytics teams preferably in healthcare.
  • Deep expertise in SQL and implementing business intelligence solutions with knowledge of relational databases.
  • Advanced proficiency in data visualization tools like Tableau, Power BI, Looker, or SuperSet.
  • Strong programming skills in scripting languages for data manipulation and analysis.
  • Track record of leading complex analytical projects and coaching teams.
  • Experience in establishing data validation frameworks and teaching best practices.
  • Outstanding communication skills and success presenting to executives.
  • Proven ability to prioritize, delegate effectively, and maintain high standards.

  • Guide your team in developing impactful data visualizations and reports.
  • Establish standards for presenting findings to leadership and stakeholders.
  • Create complex analyses and dashboards for priority initiatives.
  • Lead the expansion of business intelligence capabilities.
  • Write SQL scripts and teach team members self-sufficiency with tools.
  • Direct development of core SQL queries and data pipelines.
  • Shape direction of exploratory analyses.
  • Set quality standards for data validation and mentor team members.
  • Build partnerships with leaders to understand business needs.
  • Create and maintain documentation standards for knowledge sharing.

PythonSQLBusiness IntelligenceTableauData visualizationData analytics

Posted 12 days ago
Apply
Apply
🔥 Lead Data Analyst - Remote
Posted about 1 month ago

📍 United States

🧭 Full-Time

💸 150000.0 - 180000.0 USD per year

🔍 Consumer technology

🏢 Company: Facet👥 101-250💰 $100,000,000 Series C about 3 years agoFinancial ServicesWealth ManagementFinance

  • 6+ years of experience in business intelligence, analytics, or decision scientist role, with 3 years directly with consumer data.
  • Experience with BigQuery, Snowflake, or similar data warehouse solutions.
  • Proficient in SQL, dbt, Google Sheets, and version control.
  • Experience with data collaboration to create optimized models and solve predictive problems.
  • Understanding of metrics such as LTV, retention, CAC, and proficiency in handling Salesforce CRM data.

  • Create visibility of Facet operations and product performance.
  • Drive improvement in Facet's business by analyzing data and identifying opportunities.
  • Be a trusted strategic partner to teams, building communication lines and using analytical skills to support their strategies.
  • Conduct data engineering tasks including gathering, cleaning, and preprocessing data.
  • Evaluate and produce quality code, ensuring free from errors and bias.

PythonSQLSnowflakeGoogle AnalyticsAirflow

Posted about 1 month ago
Apply
Apply
🔥 Lead Data Analyst/Scientist
Posted about 1 month ago

📍 United States

🔍 Healthcare technology / SaaS

🏢 Company: ECP

  • Bachelor’s Degree in Computer Science or related field
  • 4+ years software development experience
  • Strong proficiency in SQL and data analysis tools (e.g., Python, R, SQL)
  • Experience with AWS Redshift and other AWS data services
  • Knowledge of statistical analysis and machine learning techniques
  • Familiarity with healthcare data, particularly in the assisted living space
  • Understanding of healthcare data standards and regulations (e.g., HIPAA)
  • Ability to work with large, complex datasets
  • Strong problem-solving and critical thinking skills
  • Excellent communication and presentation skills
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Experience working in an agile development process
  • Familiar with React and Javascript based charting libraries
  • Fluent English, grammatical skills
  • Legally authorized to work in the United States without sponsorship

  • Analyze large datasets from various sources, including electronic health records (EHRs) in our SQL databases and data warehouse on AWS Redshift.
  • Create engaging visualizations and reports to communicate insights to users.
  • Collaborate with teams to understand their data needs and translate them into actionable insights.
  • Derive strong correlations between relevant data points to drive operations efficiencies for our users.
  • Build predictive models and machine learning algorithms to identify trends and patterns in healthcare data.
  • Craft compelling narratives from data to drive strategic decisions for our users.
  • Stay up-to-date with the latest advancements in data science and healthcare analytics.

AWSPythonSQLData AnalysisMachine LearningTableauData visualization

Posted about 1 month ago
Apply
Apply
🔥 Lead Data Analyst
Posted 3 months ago

📍 DC, DE, GA, MA, MD, NC, NH, NJ, OH, PA, SC, UT, VA

🔍 Marketing communication software

  • Be proactive and self-motivated: You take initiative to identify opportunities for data-driven improvements and are eager to learn and implement new technologies and methodologies.
  • Have strong technical expertise: You are proficient in SQL and experienced with analytics tools such as Posthog, Mixpanel, or Amplitude, as well as visualization platforms like Redash, Looker, or Tableau.
  • Excel in analytical and problem-solving skills: You have a keen eye for detail and can transform complex data sets into meaningful insights.
  • Communicate effectively: You possess excellent verbal and written communication skills, enabling you to convey complex data insights to non-technical stakeholders clearly and effectively.
  • Collaborate well with others: You are a team player with strong interpersonal skills, capable of building effective partnerships across various departments.
  • Thrive in a remote environment: You are comfortable working independently in a remote setting, managing multiple projects simultaneously, and staying connected with your team.
  • Be passionate about data and small businesses: You are enthusiastic about leveraging data to drive business success and excited about helping small businesses grow.

  • Collaborate with stakeholders: Partner with teams across Marketing, Product, Customer Solutions, and Finance to understand their data analysis needs and deliver effective solutions.
  • Conduct thorough data analysis: Dive deep into data to uncover trends, patterns, and insights, translating them into actionable business initiatives and strategic recommendations.
  • Automate reporting processes: Enhance data collection efficiency by automating reporting tasks and improving dashboard visualizations using tools like PostHog, Redash and SQL.

SQLData AnalysisTableauCommunication SkillsCollaborationProblem Solving

Posted 3 months ago
Apply