Business Intelligence Lead
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Growth
Namal Tel Aviv, Israel
About Enso:
Enso is dedicated to making AI accessible and practical for small business owners. We offer a catalog of AI bots designed for non-technical users, handling tasks such as social media management, content creation, competitor tracking, and industry trend analysis. Our goal is to simplify AI integration and empower businesses to thrive in a digital age.
Description
Do you have a passion for data analytics with proven success for identifying key actionable insights from disparate data sources to help cross-functional leaders continuously improve business performance and ensure operational excellence? If so, we want to hear from you!
Our Business Operations team is seeking a highly motivated and results-oriented Data Architecture Leader to join the team to help drive operational excellence throughout the company. In this mid-senior level role, you will play a pivotal role in designing, implementing, and helping maintain our financial data architecture and business intelligence (BI) systems while partnering with cross-functional teams to develop operational KPI Dashboards and Analytics that surface actionable insights that aim to continuously improve business performance, operational efficiency, drive Revenue Growth and Product Line and Corporate profitability.
Responsibilities
Lead the design, development, and implementation of a robust and scalable data architecture for the Business Operations organization.
Develop and maintain data models, ETL (Extract, Transform, Load) processes, and data quality standards.
Work collaboratively with IT/Engineering teams to ensure the efficient integration of data systems.
Oversee the selection, implementation, and management of BI tools and technologies.
Lead the creation and maintenance of reports, dashboards, and other data visualization that surface operational insights and recommendations that aim to continuously improve our business process efficiency, Product Line P&Ls and Functional KPIs.
Partner with cross-functional teams to automate as much of the manual data analytics and reporting that is currently done across the organization to streamline operations and improve efficiency.
Minimum Qualifications
10+ years of experience in data architecture, business intelligence, or a related field.
Proven experience in data modeling concepts, ETL processes, and data quality principles.
Proven experience in designing and implementing financial and operational data solutions and Business Intelligence tools.
Excellent SQL querying skills - ready to mentor junior analysts in SQL optimization and best practices.
Ability to translate complex technical concepts into clear, concise language for business stakeholders
Preferred Qualifications
Strong communication, collaboration, and interpersonal skills.
Experience working in a fast-paced with startup mentality: nimble, able to navigate ambiguity.