We’re looking for a Business Analyst who can turn complex data into meaningful, actionable insights for both internal teams and customers. In this role, you’ll design and automate reporting systems, build analytical dashboards, and craft narrative-driven recommendations that drive product, operational, and commercial growth.

You’ll collaborate closely with cross-functional partners — including Product, Data Engineering, Marketing, Sales, and Operations — to build scalable analytics foundations, improve decision-making, and demonstrate measurable ROI for customers.

Key Responsibilities

1. Insights & Reporting

• Build executive-ready dashboards and business reviews that uncover trends, opportunities, and performance insights.

• Conduct recurring and ad-hoc analyses to understand customer behavior, market movements, and operational metrics.

• Develop competitive and market intelligence reports to support strategic planning and leadership decisions.

2. Analytics Automation

• Automate reporting workflows and presentation processes, creating standardized templates and visualization frameworks.

• Manage secure data pipelines and delivery systems (e.g., S3, Snowflake, Google Sheets, scheduled CSVs).

• Develop reusable playbooks for analytics delivery across internal and client projects.

3. Product, Growth & Operations Analytics

• Define and monitor key product metrics, adoption funnels, and retention cohorts.

• Partner with Growth and Sales teams to analyze pipeline performance, pricing strategies, and conversion drivers.

• Collaborate with Marketing to measure campaign ROI, attribution models, and engagement trends.

4. Data Quality & Collaboration

• Maintain QA checks and alert systems to ensure accuracy and reliability of analytics pipelines.

• Partner with Data Engineering to design analytics-ready datasets and scalable infrastructure.

• Provide ad-hoc analyses and support for regional or cross-functional teams as needed.

5. Communication & Enablement

• Translate complex analyses into clear business insights and actionable recommendations.

• Develop standardized KPI frameworks and visualization templates for consistency across reports.

• Drive insight adoption by embedding key metrics and dashboards into operational workflows.

Requirements

Ideal Background
We welcome applicants across levels — from Junior to Senior Business Analysts — who demonstrate strong analytical thinking, curiosity, and a proven ability to translate data into business impact.

• 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.

• 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, with the ability to communicate clearly across technical and business audiences.

• Familiarity with cloud data platforms (Snowflake, BigQuery, Postgres, AWS) and spreadsheet automation tools.

• Highly organized, detail-oriented, and comfortable working in a fast-paced, cross-functional environment.

Nice to Have

• Experience with Python, dbt, or Airflow for data automation.

• Exposure to A/B testing, causal inference, or marketing attribution modeling.

• Background in F&B technology, multi-location retail, or AdTech industries.

• Familiarity with Generative AI for insight summarization or narrative generation.