Job: Business Data Analyst --- Onsite Job --- Full Time Position
Apply NowCompany: 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:
How you will lead?
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.