Business Analyst transforming data into actionable insights for F&B industry. Collaborating with cross-functional teams to develop analytics and improve performance.
Responsibilities
Build executive-ready dashboards and business reviews that highlight trends, opportunities, and recommendations.
Conduct recurring analyses to measure performance, customer behavior, and market movements.
Develop market and competitive intelligence to support strategic decision-making.
Automate workflows for reports and presentations, standardizing templates and visual frameworks.
Manage secure data delivery pipelines (S3, Snowflake, Google Sheets, scheduled CSVs).
Establish reusable playbooks for internal and client analytics delivery.
Define and track key product metrics, adoption funnels, and retention cohorts.
Partner with Growth and Sales to analyze pipeline performance, pricing, and conversion drivers.
Collaborate with Marketing to measure campaign ROI, attribution, and customer engagement.
Maintain QA checks and alert systems to ensure reliability of data pipelines.
Work with Data Engineering to build analytics-ready datasets and scalable infrastructure.
Support regional and functional teams with ad-hoc analysis and reporting requests.
Translate complex analyses into clear, business-focused recommendations.
Establish standardized KPI frameworks and data visualization templates.
Drive insight adoption by embedding metrics and recommendations into daily workflows.
Requirements
Bachelor’s or Master’s degree in Business Analytics, Economics, Statistics, Computer Science, or a related quantitative field.
1–5 years of experience in analytics, business intelligence, consulting, or revenue operations.
Solid proficiency in SQL for querying and transforming large datasets.
Experience with data visualization tools such as Tableau, Power BI, or Looker.
Strong analytical storytelling and presentation skills; ability to communicate clearly with technical and non-technical audiences.
Familiarity with cloud data platforms (Snowflake, BigQuery, Postgres, AWS) and spreadsheets for automation.
Highly organized, detail-oriented, and comfortable working in a fast-paced, cross-functional environment.
Experience with Python, dbt, or Airflow for automation (Nice to Have).
Exposure to A/B testing, causal inference, or marketing attribution modeling (Nice to Have).
Benefits
Private medical insurance
Paid time off and flexible working culture
A dynamic and inclusive company culture
Access to the latest technology and tools for personal development
Comprehensive onboarding program for new employees
Employee recognition programs for outstanding performance
A supportive environment that encourages innovation and creativity
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