Business Intelligence Team Lead

Business Intelligence Team Lead

This job is no longer open
What is Notarize?

There are 1.25 billion notarizations a year in the US alone. Home purchase, designation of beneficiaries, medical authorization for minors, powers of attorney, vehicle certification of ownership, notarizations power life’s most important transactions. At Notarize we’re leveraging industry best practices, to make these transactions easy, secure, and available. Above all Notarize is the platform that customers can trust. It is why Notarize is the industry leader in Online Notarization. 

It is why we were able to grow over 600% the last year, raise $160M in series D funding from investors like Capitol G (Google), Citi, and Wells Fargo, why Forbes named us to their next billion dollar startup list.

Summary

As the Business Intelligence Team Lead reporting to the Head of Engineering, you will play a crucial role in shaping our data-driven culture and driving actionable insights across the organization. You will lead a small team of BI analysts and work closely with stakeholders from various departments to understand their data needs, develop analytical solutions, and facilitate data-driven decision-making. This role offers an exciting opportunity to make a significant impact on the company's success by leveraging data to drive business growth and efficiency.

What you'll do as our Business Intelligence Team Lead:

    • Team Leadership: Manage and mentor a team of Business Intelligence Analysts, providing guidance, support, and training to ensure the team's success and professional growth.
    • Data Strategy: Collaborate with senior management to define and execute the company's data strategy, aligning BI initiatives with overall business objectives.
    • Data Analysis and Forecasting: Lead and participate in data analysis activities, including data mining, reporting, and dashboard development, to provide actionable insights and support data-driven decision-making; help develop financial and other forecasting models.
    • Stakeholder Collaboration: Work closely with stakeholders from various departments, including Sales, Marketing, Finance, Product and Operations, to understand their data requirements and deliver timely and relevant insights.
    • Tool and Technology Management: Stay current with BI tools and technologies, evaluating and recommending new tools to enhance the team's capabilities and productivity.
    • Data Governance: Ensure data quality, consistency, and security by implementing data governance practices and standards across the organization.
    • Project Management: Plan, prioritize, and oversee BI projects, ensuring on-time delivery and effective communication with project stakeholders.
    • Continuous Improvement: Continuously evaluate and improve BI processes, tools and methodologies to enhance efficiency and effectiveness.

Qualifications:

    • Bachelor's degree in Business, Computer Science, Data Science, or a related field (Master's degree preferred).
    • Proven experience (5+ years) in business intelligence, data analysis, or a related field.
    • Previous leadership experience and team management skills.
    • Proficiency in BI tools such as Metabase, Tableau, Power BI, or similar.
    • Excellent data visualization skills.
    • Solid understanding of data warehousing and ETL processes.
    • Strong SQL and database management skills.
    • Hands on coding skills, preferably with Python.
    • Exceptional problem-solving and analytical abilities.
    • Excellent communication and interpersonal skills.
    • Project management experience is a plus.
    • Experience with NLP and ML technologies is a plus.
Notarize is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We'd love to hear from you. 
This job is no longer open
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