Sr. Business Analyst

This role sits at the intersection of business, data, and technology, transforming raw data into actionable insights that drive strategic decision-making across the organization. We are seeking a highly motivated and analytical Senior Business Analyst - Data Algorithms to solve high-impact business problems through the design and implementation of data-driven algorithms and analytical solutions. This is not a maintenance-focused role; the ideal candidate will thrive in solving complex, ambiguous challenges, applying first-principles thinking, and delivering measurable business impact through data-led decision-making.

Responsibilities:

• Solve complex and ambiguous business problems using strong fundamentals in Data Science, Analytics, and problem-solving methodologies.
• Design, develop, and implement algorithms to address critical business challenges and improve organizational performance.
• Apply a first-principles approach to identify root causes and build scalable, data-driven solutions.
• Design and execute experiments, analyze outcomes, and derive actionable recommendations.
• Drive end-to-end problem solving, from solution design and execution to adoption and business consumption.
• Collaborate closely with cross-functional business teams to create tangible business impact, beyond merely generating insights.
• Translate business requirements into analytical frameworks and scalable data solutions.
• Continuously identify opportunities to leverage data for process optimization, operational efficiency, and strategic growth.
• Work with large datasets and analytical tools to uncover trends, patterns, and opportunities for innovation.

What's in It for YouCareer Growth and Recognition:

• Work directly with the Head of Analytics alongside high-caliber professionals recognized through prestigious industry awards such as IQ 30 Under 30 in Analytics and domain-specific excellence awards.
• Accelerate your career in Analytics, Product Analytics, Data Science, or Analytics Engineering.

High Ownership and Impact:

• Own end-to-end analytics initiatives, including reporting, dashboards, data flows, and algorithmic solutions for critical business functions.
• Influence company-wide KPIs, customer experience, revenue growth, and operational efficiency through your work.

Exposure to Modern Technology Stack:

• Gain hands-on experience with modern cloud technologies, BI tools, scalable data pipelines, and advanced analytical systems.

Cross-Functional Visibility:

• Collaborate with founders, senior leadership, Product, Marketing, Finance, and Operations teams, with direct exposure to strategic decision-making.

Innovation-Driven Culture:

• Opportunity to experiment with automation, data modeling, process redesign, and advanced analytical techniques in a fast-paced environment.

Learning and Development:

• Access mentorship from experienced leaders across Data Science, Engineering, and Business functions.
• Work in a dynamic and continuously evolving environment focused on analytical excellence and continuous improvement.

Requirements:

• 3-5 years of experience in roles involving data extraction, analytics, algorithm development, and complex problem solving.
• Strong analytical and quantitative skills with the ability to use data and metrics to support business decisions and requirements.
• Exposure to Machine Learning algorithms and their application in solving business problems and driving impact.
• Demonstrated ability to solve problems using a first-principles approach.
• Strong ownership mindset with a willingness to work hands-on and persevere through complex challenges.
• Ability to work independently while also contributing effectively within cross-functional teams.
• Strong learning agility and adaptability to new technologies and business environments.
• Excellent communication and stakeholder management skills.

Good to Have:

• Proficiency in Python and SQL for analytics, automation, and data manipulation.
• Experience with cloud platforms such as AWS (S3 Athena, Glue, Lambda) or equivalent services on GCP/Azure.
• Familiarity with event-based analytics platforms such as Mixpanel.
• Understanding of data modeling concepts, including dimensional modeling (Star and Snowflake schemas).