Responsibilities

• Data Collection & Analysis:Gather, clean, and analyze large datasets using Python, SQL, and other analytics tools to uncover actionable insights.
• Market Trends:Identify and interpret industry trends, consumer behavior, and competitive intelligence to guide product and business strategies.
• Collaboration:Work closely with product managers, engineers, and business development teams to inform product decisions and identify growth opportunities.
• Reporting:Create clear, actionable reports and visualizations to communicate findings to stakeholders.
• Product Strategy:Help refine product roadmaps by identifying market needs, user pain points, and competitive gaps.
• Agile Environment:Operate effectively in a dynamic, fast-paced, startup setting with shifting priorities and tight deadlines.
• Business Development:Provide insights and support for strategic partnerships, market positioning, and revenue opportunities.

Requirements

• Startup Experience:Proven track record of working in small, agile startup environments.
• Technical Skills:Proficient in Python, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Collaboration Skills:Experience working directly with product managers and engineers to shape product development.
• Data Analytics Expertise:Skilled in handling and analyzing large datasets to drive decisions.
• Agile Methodologies:Experience in an agile environment, capable of adapting to change quickly.
• Business Development Insight:Knowledge of business development processes and strategies to identify market opportunities.
• Problem-Solving Mindset:Ability to think critically and propose creative solutions based on data insights.
• Communication Skills:Exceptional ability to translate complex data into actionable insights and present them effectively.

Preferred Qualifications

• Experience in SaaS or tech startups.
• Familiarity with marketing and customer analytics.
• Background in using CRM systems and tools like Google Analytics.
• Knowledge of advanced statistical methods or machine learning (a plus).

What We Offer

• Competitive salary and equity options.
• Flexible working environment with hybrid options.
• Opportunity to grow with a dynamic and fast-moving startup.
• Collaborative and supportive team culture.
• The chance to make a real impact on the direction of the company.