What are the responsibilities and job description for the Business Data Analyst ( Looking for only full time candidate ) position at Celandyne Software Solutions LLC?
Job Details
Business Data Analyst
Location : San Diego or Mountain View, CA
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.
