Key Responsibilities 1.
Hands-On Data Analysis & BI Development (Individual Contributor) ○ Design and develop dashboards, reports, and data models using BI tools (e.g., Metabase, Power BI, Tableau, Looker).
- Write complex SQL queries to extract, clean, and analyze data from multiple sources.
- Conduct in-depth analyses of product usage, user behavior, and model performance metrics, turning data into clear, actionable insights.
Team Mentoring ○ Mentor and develop a small team of data analysts / BI developers, providing guidance on best practices and career growth.
Foster a collaborative team culture that values learning, innovation, and continuous improvement.Analytics Strategy & Execution ○ Partner with Product, Engineering, Finance, and other teams to identify key analytics use cases, define success metrics, and track performance.
Develop and maintain a roadmap for analytics projects, balancing short-term requests with long-term strategic initiatives.Champion a data-driven culture across the company, promoting the use of analytics tools and methodologies.Data Infrastructure & Governance ○ Collaborate closely with Data Engineering to ensure the data warehouse and data pipelines are efficient, scalable, and reliable.
Advocate for and implement best practices in data quality, security, and governance.Cross-Functional Collaboration ○ Work with Finance to provide accurate usage data for billing and revenue operations.
Support Customer Success with ad-hoc analysis requests and custom reporting for key clients.Partner with Product and Engineering teams to refine data collection and improve product analytics capabilities.Stakeholder Communication ○ Present analyses, findings, and recommendations to leadership in both technical and non-technical terms.
Serve as the subject matter expert on analytics tools, methods, and data interpretation for internal stakeholders.Required Qualifications
Education : ○ Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related).Experience : ○ 5+ years of experience in data analytics and business intelligence ○ 1+ years of experience in a leadership or mentoring capacity (formal or informal).Hands-on experience building dashboards and writing complex SQL queries.Technical Skills : ○ Proficiency with BI tools (e.g., Metabase, Power BI, Tableau, Looker) for data visualization and dashboard development.Strong SQL skills and familiarity with data warehousing concepts.Understanding of data modeling, ETL / ELT pipelines, and cloud-based data platforms (e.g., Redshift, Snowflake, BigQuery).Nice-to-have : Experience with Python / R for advanced analytics or machine learning.Soft Skills : ○ Excellent communication and presentation skills; able to translate complex data findings into clear insights for varied audiences.Strong leadership qualities, with a proven ability to mentor junior team members.Organizational and project management skills to handle multiple initiatives in a fast-paced environment.
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