Job: Business Data Analyst --- Onsite Job --- Full Time Position

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Company: Lorven Technologies Inc

Location: Mountain View, CA 94040

Description:

Job Title: Business Data Analyst [Qliksense, Tableau]
Location : San Diego, CA| Mountain View, CA (Onsite Job)
Duration: Full-Time (Permanent Position)

Job Description:
  • 8+ years of experience working with data and analytics with knowledge of statistics
  • Highly proficient in SQL, Data Visualization software (Qliksense, Tableau, Amplitude), and Excel
  • Excellent problem-solving and logic skills and end-to-end quantitative thinking
  • Ability to manage multiple projects simultaneously to meet objectives and key deadlines
  • Outstanding communications skills with both technical and non-technical colleagues
  • Strong ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
  • Proactive and inquisitive learner who seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances
  • Strong organization, time management and task prioritization skills
  • Ability to adapt and flex given changing environments and priorities
  • Experience in a scripting language to automate and reuse code. Optional but encouraged: experience in prompt engineering to accelerate development tasks
  • Experience in defining metrics and instrumenting data tracking

How you will lead?
  • Partner with Product and Operations leaders and other analytics teams to enable data driven decisions and key customer insights in the management and operation of our expert network.
  • Collaborate across product management and engineering to ensure reporting solutions are scalable, repeatable, effective, and meet expectations for a variety of stakeholders.
  • Define, implement, and standardize metrics, reports and dashboards leveraging state of the art business intelligence tools.
  • Provide recommendations utilizing statistical model generation using multiple types of data, business knowledge, programmatic insights, and strategic assumptions when data doesn't exist.
  • Suggest ad-hoc analytic questions, contribute to decision making through opportunity sizing, and facilitate use of self-serve standard reports.
  • Establish data quality standards, troubleshoot data validation, proactively identify issues, and see them to resolution.

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