Data and Business Intelligence Associate

3 weeks ago

San Francisco, United States Avispa Technology Full time
Job DescriptionJob Description

Data and Business Intelligence Associate 13727 (H)

A leading professional networking company is seeking a Data and Business Intelligence Associate. The successful candidate will work with cross-functional partners and develop data foundations, data pipelines, data visualization assets and analysis to enable data-driven decision-making for the Customer Success organization. The ideal candidate has 4+ years of relevant industry or relevant academia experience working with large amounts of data. The company offers a great work environment

Data and Business Intelligence Associate Pay and Benefits:

    • Hourly pay: $45-$65 (Pay varies based on candidate's location and experience)
    • Worksite: Leading professional development and networking company (Remote, candidates must be available to work Pacific office hours and be located in the United States)
    • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
    • 40 hours/week, 12 Month Assignment, Possibility of extension.

Data and Business Intelligence Associate Responsibilities:

  • Tool and Dashboard Development: Design, develop, and maintain data tools and analytics dashboards to automate processes and provide real-time insights into customer metrics and product usage.
  • Foundations and Pipeline Development: Write scalable and efficient SQL to encode business logic, and develop robust pipelines on our data stack.
  • Data Management: Establish robust data collection, storage, and quality assurance processes to ensure the reliability and accuracy of analyses.
  • Project Management: Lead data projects from inception to completion, aligning with strategic goals and ensuring delivery of measurable value to the organization.
  • Cross-Functional Collaboration: Work closely with cross-functional partners in customer success and adjacent teams to integrate data-driven insights into strategies and initiatives.
  • Continuous Learning and Innovation: Keep up with industry trends in data science and analytics to drive innovation and improve customer success outcomes.
  • Advanced Data Analysis: Conduct complex analyses on large datasets to uncover trends, correlations, and patterns that drive customer success strategies. Translate data findings into actionable insights for non-technical stakeholders, utilizing statistical analysis and predictive modeling to inform decision-making.
  • GenAI Development: Leverage Generative AI to develop data tools that address stakeholder and team opportunities and pain points.

Data and Business Intelligence Associate Qualifications:

  • Basic Qualifications:
    • 4+ years of experience with SQL/relational databases.
    • 4+ years of relevant industry or relevant academia experience working with large amounts of data.
    • 2+ years of business analytics experience in a medium-to-large company with demonstrated ability to navigate complex data environments and provide guidance to business leaders.
    • 2+ years experience in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript).
    • 2+ years of experience in data visualization and dashboard design.
    • Bachelor's Degree in a quantitative discipline.
  • Preferred Qualifications:
    • MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering.
    • Statistical modeling project experience with regression models, tree models.
    • Data pipeline development experience.
    • Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance.
    • Experience on a / adjacent to a Business Intelligence team.
    • Self-starter, able to work independently but ask for guidance when needed.
    • Ability to speak comfortably in a variety of settings including one-on-one and in front of large groups and adapt communication style for different audiences.
    • Nimble and comfortable with ambiguity; a track record of responding quickly to rapidly evolving opportunities.

this is a remote position

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