Lead Data Analyst

Posted 3 months agoViewed

💎 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

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.

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.

Posted 2 months ago

📍 United States of America

🧭 Full-Time

🔍 Pest Control and related services

🔧 Requirements

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.

💡 Responsibilities

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 2 months ago

Posted 3 months 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 Services Wealth Management Finance

🔧 Requirements

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.

💡 Responsibilities

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 3 months ago