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Lead Business Analyst

2 months ago

Sherman Oaks, California, United States Ideal Living Full time
Job Overview

Salary: $80-90k/yearly

The Strategic Finance and Business Analysis division at Ideal Living is at the forefront of developing the data and analytics strategy for the organization. By harnessing insights from our diverse range of brands and products, including Air Doctor and Aqua Tru, we proactively drive key strategic initiatives.

We are in search of an exceptional Senior Business Analyst with a robust background in data analytics to engage in projects focused on customer interaction and behavior enhancement. This position requires a high degree of flexibility to adapt to varying work situations and a progressive mindset towards collaboration, striving for excellence in all endeavors.

Your Key Responsibilities

  • Minimum of 3 years of experience in an analytical capacity.
  • Analyze site funnel metrics to uncover insights related to traffic trends, click-through behaviors, customer engagement, product performance, and purchasing patterns.
  • Enhance business outcomes by collaborating with analytics professionals and vendors to transform raw data into actionable insights, utilizing formats such as dashboards, triggered reports, or custom research analyses.
  • Provide valuable insights and narratives to support the Marketing and Brand teams in their initiatives.
  • Translate business needs into data requirements effectively.
  • Address ad hoc data inquiries while promoting a culture of knowledge sharing within the organization.
  • Exhibit a proven ability to convert data-driven insights into comprehensible business language and engaging presentations, tailored to various communication styles across the organization.

Preferred Qualifications

  • Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related discipline.
  • Experience in a start-up, consulting, or similar fast-paced, high-growth environment.
  • Proficient in SQL (including advanced joins and basic query optimizations) and adept at creating and managing dashboards using data visualization tools (e.g., Tableau, Power BI, Looker).
  • Familiarity with at least one analytics programming language (e.g., Python).
  • Strong experience with various data mining and analysis tools, techniques, and concepts.
  • Experienced in implementing models, simulations, and data visualization, utilizing distributed data/computing tools.
  • Ability to prioritize effectively among competing objectives.
  • Excellent written and verbal communication skills in English.