Lead BI Data Architect and Analyst
About DeleteMe:
DeleteMe is at the forefront of data privacy, helping B2B and B2C customers manage and protect their personal information. As we continue to grow, we are expanding our Business Intelligence and Analytics team to better support our GTM and Finance teams. We are looking for a talented individual who can balance Business Intelligence Architecture, Analysis, and Operations to join us as a Lead BI Architect & Analyst.
Position Overview:
The Lead BI Architect & Analyst will be crucial in building and scaling our Business Intelligence and Analytics capabilities. This role will support our B2B and B2C GTM (Go-to-Market) and Finance teams by developing data models, creating insightful Tableau dashboards, conducting strategic analyses, and delivering compelling data storytelling. The ideal candidate will have a strong BI architecture, analysis, and data storytelling background, with specific experience within the SaaS space.
Key Responsibilities:
BI Architecture:
Data Mart Design & Development: Architect and implement a robust data mart within Snowflake, tailored to the specific needs of GTM and Finance. This includes data modeling, ETL design (using dbt), and performance optimization.
Dashboard Creation & Maintenance: Build and maintain interactive Tableau dashboards that provide clear, actionable insights into key business metrics and trends. Ensure dashboards are well-organized, visually appealing, and easily accessible to stakeholders.
Data Modeling & Integration: Develop data models outside of the core data warehouse that support ad-hoc analysis, experimentation, and specialized reporting needs.
Analytics & Insights:
Strategic Analysis: Conduct in-depth analysis to identify trends, opportunities, and risks across GTM and Finance functions. Translate complex data into actionable recommendations that drive business growth.
Data Storytelling: Communicate data insights to stakeholders through compelling presentations, reports, and visualizations. Tailor the narrative to the audience's specific needs and level of technical understanding.
Data-Driven Decision Support: Partner with GTM and Finance leaders to embed data-driven insights into their decision-making processes. Provide guidance on KPI selection, goal setting, and performance measurement.
Ad Hoc Analysis & Reporting: Respond to ad-hoc requests for data analysis and reporting, providing timely and accurate insights to support business decisions.
Collaboration & Leadership:
Cross-Functional Partnership: Collaborate closely with Data Engineering, GTM, and Finance teams to gather requirements, prioritize projects, and ensure alignment between data solutions and business needs.
Team Mentorship: Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and development.
Technical Leadership: Stay abreast of emerging trends in BI and analytics, and advocate for the adoption of new technologies and methodologies that can improve the team's capabilities.
Qualifications:
-Bachelor’s degree in Computer Science, Data Science, Statistics, Business, Finance, or a related field.
-5+ years of experience in Business Intelligence, Data Analysis, or a related field.
-Proven experience and proficiency with BI tools and technologies, particularly Snowflake, dbt, and Tableau.
-Strong SQL skills and experience with ETL processes.
-Demonstrated ability to create and maintain complex data models and data marts.
-Excellent data storytelling and presentation skills.
-Experience supporting both B2B and B2C environments, with a preference for candidates with a robust B2B SaaS background.
-Strong understanding of GTM and Finance functions, including key metrics, processes, and challenges.
-Ability to translate complex technical concepts into clear, actionable insights for non-technical audiences.
Nice to Have:
-Experience with Python or other scripting languages for data analysis and automation.
-Familiarity with statistical analysis and machine learning techniques.
-Experience in a high-growth startup environment.