Business Analyst Jobs

About The Position

Requirements

• 4+ years of relevant work experience in analyzing large, multi-dimensional data sets and synthesizing data insights into actionable recommendations
• Data-driven mindset with a degree in a quantitative discipline such as Computer Science, Statistics, Engineering, or Mathematics
• Fluent in SQL and Excel; experience with visualization tools such as Power BI and building statistical models preferred
• Hands-on experience using AI tools (e.g., ChatGPT, Claude, Copilot, or similar) for data analysis, summarization, or workflow automation — not just as a novelty, but as a core part of how you work
• Working knowledge of how to automate recurring reporting or data workflows using AI/scripting (e.g., Python, low-code automation platforms, or AI agents) preferred
• Comfort with prompt engineering and evaluating AI-generated output critically — knowing when to trust it, when to verify it, and when to do it yourself
• Exceptional written and verbal communication skills to influence cross-functional teams
• A bias toward insight over output — you're as comfortable challenging a stakeholder's question as you are answering it, and you default to “what should we do about this” rather than stopping at “here's what the data shows”
• Above all, comfort with data — the ability to manipulate it, question its validity, interpret it, and develop recommendations based on it

Responsibilities

• Collect, analyze, and interpret data from various sources to identify trends, patterns, and insights relevant to business objectives
• Perform ad-hoc analysis to support decision-making, solve business problems, and drive operational efficiencies
• Collaborate with business stakeholders to understand their data needs and translate requirements into analytical solutions
• Conduct data validation and quality assurance to ensure accuracy, completeness, and reliability of reports and analysis
• Work cross-functionally with Marketing, Strategy, and Customer Success teams on Sales and Marketing programs and initiatives; make clear, coherent, and holistic recommendations based on test results
• Provide analytical deep-dives, monitor and optimize performance across multiple business units
• Design and execute testing strategies for improving individual performance across channels
• Integrate data from all 3rd party sources and develop machine learning algorithms to build propensity and value models for different products and geographies
• Go beyond descriptive reporting — synthesize disparate data points into a clear narrative and point of view that drives action, not just a dashboard that describes what happened
• Leverage AI tools (e.g., LLM-based assistants, Claude) to accelerate exploratory analysis, summarize findings, and draft first-pass narratives and recommendations for stakeholder review
• Identify repetitive, manual reporting and data-prep workflows and automate them using AI-powered tools, scripts, or agentic workflows — reducing turnaround time from days to hours
• Build and maintain lightweight AI-assisted workflows (e.g., prompt-driven data pulls, automated anomaly detection and alerting, AI-generated executive summaries) that scale insight delivery across the business
• Stay current on emerging AI/analytics tooling and proactively recommend where automation or AI can improve the speed, quality, or scale of the team's analytical output

Benefits

• Great compensation package
• Paid time off
• Paid parental leave
• Bonuses
• Private medical insurance
• Life insurance
• Disability insurance