Data Analyst, Sr.

About The Company

Confido is the AI infrastructure powering modern CPG - the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance, accounting, sales, and operations are unified in one system for the first time, enabling seamless data management and operational efficiency. The company is experiencing rapid growth, expanding fivefold annually, and recently secured a $15 million Series A funding round led by Footwork and Y Combinator. With a dedicated in-person team based in New York City, Confido offers an environment where new team members can significantly influence product development, company culture, and strategic direction. The company's mission is to empower brands with advanced analytics and data-driven insights, facilitating smarter decision-making and operational excellence.

About The Role

We are seeking a highly skilled Senior Data Analyst to join our dynamic team. In this foundational role, you will be instrumental in designing and developing the analytics layer that enables Confido and its clients to interpret complex financial and operational data effectively. Your expertise will help build dashboards, develop core metrics, and surface actionable insights that inform strategic decisions across various departments. You will collaborate closely with product, engineering, and customer teams to understand analytics needs, translate data into meaningful insights, and drive analytical projects from conception to delivery. This position offers an exciting opportunity to shape Confido’s data culture, establish best practices in analytics delivery, and contribute to a high-growth startup environment.

Qualifications

• 4+ years of experience in data analysis or analytics roles
• Advanced proficiency in SQL and experience working with large datasets
• Proven track record in building dashboards and analytical reports
• Strong ability to translate complex data into clear insights and strategic recommendations
• Excellent communication skills, capable of working with both technical and non-technical stakeholders
• Experience with BI tools such as Looker, Omni, Mode, or similar platforms (preferred)
• Experience working with financial, retail, or operational datasets (preferred)
• Technical or quantitative degree (preferred)

Responsibilities

• Partner with product, engineering, and customer teams to gather and understand analytics requirements
• Design and develop dashboards, reports, and analytical tools for internal and external users
• Write complex SQL queries to analyze large-scale financial and operational datasets
• Define, track, and maintain key business metrics and KPIs
• Identify trends, anomalies, and opportunities within retailer and financial data to inform decision-making
• Lead analytical projects from exploratory analysis through to implementation and presentation of insights
• Collaborate with engineering teams to enhance data models and improve data quality and accessibility
• Transform raw data into clean, analysis-ready datasets that support actionable insights
• Develop visualizations that simplify complex financial and operational data for diverse audiences

Benefits

• Equity ownership, providing a stake in the company's growth
• Fully paid health insurance coverage through Aetna, covering 100% of premiums
• Top-tier dental and vision insurance via Guardian
• Paid parental leave for up to 12 weeks
• Unlimited paid time off, with regular 4-day holiday weekends
• Retirement plan options through Vestwell
• Paid relocation assistance to support your move to New York City
• Full desk setup on day one, including laptop, monitor, and keyboard, plus a $200 stipend to personalize your workspace
• Catered Friday lunches, team dinners, and unlimited coffee and snacks featuring our own brands

Equal Opportunity

Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.