Business Intelligence Analyst, Health and Wellness (Supplements) - Remote

Posted 2024-10-22

📍 Location: California, United States

💸 Salary: 100000 - 120000 USD per year

🔍 Industry: Health and wellness

🗣️ Languages: English

🪄 Skills: Project ManagementPythonSQLBusiness IntelligenceData AnalysisETLMicrosoft Power BIStrategyData analysisCollaboration

Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
Proficiency in Microsoft Power BI or similar data visualization platforms.
Advanced SQL skills are required.
Strong knowledge of Python for data connectivity, automation, and transformations.
Experience in data analysis, data visualization, and reporting.
Familiarity with digital advertising data and metrics such as LTV and AOV.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.
Ability to work independently in a remote environment.

Develop and maintain advanced reports and dashboards in Power BI or similar platforms to provide actionable insights.
Translate business needs into technical specifications and ensure data accuracy and reliability.
Write complex SQL queries to extract, transform, and manipulate data from various sources.
Utilize Python to automate data processes, integrate data sources, and perform data transformations.
Formulate and manage backend data connections for seamless data flow between systems.
Design and implement ETL processes to optimize data transformation and integration.
Analyze customer data to understand behavior and trends, focusing on key metrics such as LTV and AOV.
Provide insights to improve customer acquisition, retention, and overall customer experience.
Collaborate with management to identify data optimization opportunities and contribute to strategic planning.
Manage projects from conception to delivery, ensuring timely completion of deliverables.

Posted 2024-10-19

📍 California, United States

🧭 Full-Time

💸 100000 - 120000 USD per year

🔍 Health and Wellness

Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
Proficiency in Microsoft Power BI or similar data visualization platforms.
Advanced SQL skills.
Strong knowledge of Python for data connectivity and transformations.
Experience in data analysis, data visualization, reporting, and working with digital advertising data.

Develop and maintain advanced reports and dashboards in Power BI or similar platforms to provide actionable insights.
Write complex SQL queries to extract, transform, and manipulate data from various sources.
Utilize Python to automate data processes and integrate data sources.
Analyze customer data focusing on key metrics and provide insights to improve customer experience.
Collaborate with management to identify opportunities for data optimization.

Project ManagementPythonSQLBusiness IntelligenceData AnalysisETLMicrosoft Power BIStrategyData analysisData scienceCollaboration

Posted 2024-10-19

Posted 2024-09-20

📍 California, United States

🧭 Full-Time

💸 $100,000 - $120,000 per year

🔍 Health and Wellness

Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
Proficiency in Microsoft Power BI or similar data visualization platforms and advanced SQL skills are required.
Strong knowledge of Python for data connectivity, automation, and transformations.
Experience in data analysis, data visualization, and reporting.
Experience with digital advertising data and metrics such as LTV and AOV.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.
Ability to work independently in a remote environment.

Develop and maintain advanced reports and dashboards in Power BI or similar platforms to provide actionable insights.
Translate business needs into technical specifications and ensure data accuracy and reliability.
Write complex SQL queries to extract, transform, and manipulate data from various sources.
Utilize Python to automate data processes, integrate data sources, and perform data transformations.
Formulate and manage backend data connections to ensure seamless data flow between systems.
Design and implement ETL (Extract, Transform, Load) processes to optimize data transformation and integration.
Analyze customer data to understand behavior and trends, focusing on key metrics such as LTV and AOV.
Provide insights to improve customer acquisition, retention, and overall customer experience.
Work with management to identify opportunities for data optimization and contribute to strategic planning.
Collaborate with teams across the company to ensure data needs are met and insights are actionable.
Manage projects from conception to delivery, ensuring timely completion of deliverables.
Prioritize tasks and manage multiple projects simultaneously in a dynamic, fast-paced environment.

Project ManagementPythonSQLBusiness IntelligenceData AnalysisETLMicrosoft Power BIData analysisData scienceCollaboration

Posted 2024-09-20

🔧 Requirements