Data Analyst - Business Operations

About the role

• You’ll work closely with our Business Operations and Analytics team to bridge the gap between business challenges and data-driven solutions. Your primary focus will be automating processes, analyzing complex datasets, and creating actionable insights that enhance efficiency, reduce costs, and support strategic decision-making. This role is highly impactful—your work in reporting, automation, and analytics will ensure we meet customer expectations at the highest level while optimizing costs.
• Please Note: This is a full-time role, and you must overlap with the rest of our team between 8 a.m. and 1 p.m. ET to be on call for urgent customer issues.

Responsibilities

• Business-Driven Data Projects: Translate key business metrics and challenges into actionable data projects that address core operational needs. Collaborate with stakeholders to understand requirements and align on deliverables.
• Exploratory Data Analysis (EDA): Perform exploratory data analysis to uncover trends, patterns, and anomalies. Identify opportunities to enhance operational efficiency and reduce costs.
• Data Preparation: Assess data validity and ensure datasets are clean, accurate, and prepared for analysis. Determine additional data requirements to support decision-making.
• Automation & Code Maintenance: Build and maintain Python scripts to automate processes and workflows. Test and troubleshoot code to ensure efficiency and scalability.
• Insights & Reporting: Create analysis, reports, and dashboards using SQL/Python to effectively communicate findings. Leverage tools like Hex, Mode, or equivalents to deliver actionable insights that enable decision-making and operational improvements.
• Stakeholder Communication: Present findings clearly and concisely to both technical and non-technical audiences. Equip stakeholders with data-based recommendations to drive impact.

What We're Looking For

• Experience: 3+ years of experience as a Data Analyst or in a similar role, ideally within a product-based startup.
• Technical Skills:
• • Strong proficiency in Python for data analysis and automation.
  • Advanced skills in SQL for querying and data manipulation.
  • Experience with PostgreSQL or equivalent relational databases.
  • Experience with visualization tools like Looker, Power BI, or similar platforms.
• Data Foundations: Expertise in data validation, cleaning, and preparation techniques.
• Problem-Solving: Proven ability to connect data insights to business problems and implement impactful solutions.
• Communication: Strong verbal and written communication skills to effectively collaborate with diverse stakeholders (technical and highly non-technical individuals).
• Analytical Thinking: Ability to start with ambiguous problems, access and analyze relevant data, and draw meaningful conclusions.
• Attention to Detail: Strong focus on data accuracy and the ability to produce reliable analysis.
• Adaptability: Comfort in working in a dynamic, fast-paced environment with evolving priorities.
• Independence & Learning: Demonstrated ability to continuously learn, work independently, and make sound decisions with minimal supervision.
• Ownership: Ability to take ownership and drive projects from initiation through completion

    Nice-to-Haves

• Exposure to tools like Zapier or similar for automating workflows and processes.
• Working knowledge of statistical methods for data analysis, including hypothesis testing, regression analysis, and probability theory, to support data-driven decision-making.
• Familiarity with tools such as AWS, Git, and Postman 
• Experience with machine learning, predictive analytics, or advanced analytics techniques to solve complex business problems and drive deeper insights.

What We Offer

• A High-Impact Role: Your work will directly contribute to cost savings and enhance operational efficiency.
• Collaborative Team Environment: Be part of a supportive team that values growth, creative solutions, and shared success.
• Flexible Work Arrangements: Enjoy the flexibility to balance your personal and professional life effectively.