Hello,
We are from Mavinsys Talent Acquisition team based on One World Trade Centre, New York. We are specializing in IT services and staffing majorly in lateral hiring/contract. Below is one of our requirement to fill immediately, if you're interested, please share your candidature to joinus@mavinsys.com
Job Title: Senior Business Data Analyst
Location: Bay Area, CA
Duration: 12months
Job Description;
● 5-8+ 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
● 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.
