Lead Business Analyst
The Apothecarium
2021-12-03 12:32:04
San Jose, California, United States
Job type: fulltime
Job industry: Consulting & Corporate Strategy
Job description
We are looking for talented and motivated Business Analysts at various levels to work with customers and data scientists to build the data warehouse, analytical dashboards, and ML capabilities as per customer needs.
Roles and Responsibilities
Translate business requirements to analytical outputs. Outputs in the form of dashboards, summarize ML outputs to actionable insights
Supports data exploration and profiling, and works closely with the DE team to build data models
Mentors/trains junior analysts to grow their business analysis expertise. Be hands-on when required
Work with cross-functional teams to deliver the outcomes
Coordinates with DE/SE to perform data validation and compares against client control totals
Coordinates with DS team (as required) to conduct analytical QA on DS outputs
Captures client requirements in BRDs and works closely with product managers to get them fleshed out
Reviews analytical outputs and prepares insights to present to customers
Leverages domain and data understanding to drive insights and build intelligence dashboards
Requirements
Must have:
SQL
AI/ML concepts
Understanding of statistical model outputs, who could infer DS output, and can use that knowledge to generate insights in the form of dashboards.
Retail domain knowledge
Expertise in creating and generating insights through Dashboards using any BI Tool
Ability to structure & solve business problems, innovating, where required. Must have the ability to adapt to changing business priorities in a fast-paced business environment.
Should have experience in delivering analytical solutions in a service/product organization.
Experience working with global teams
Very strong verbal and written communication skills
Good to have:
Data Extraction and Analysis through Python, R, or any other supporting language. Should be able to process and generate insights from large data sets.
Others:
Strong analytics and client management experience with hands-on experience in problem-solving.
Capability to distil analytics findings to business relevant and actionable insights.