Business Intelligence Lead

About Us:

Most Edge is revolutionizing the retail industry with a cutting-edge analytics platform designed to prioritize customer needs and shape the future of retail. From advanced POS systems and self-service kiosks to surveillance, loyalty solutions, and next-level consumer engagement tools, Most Edge empowers businesses to transform every customer interaction into a profitable opportunity. By seamlessly integrating retail management processes, optimizing supply chains, and ensuring stock availability for in-demand products, Most Edge enables businesses to grow efficiently while eliminating time-consuming administrative tasks.

As the only company offering 24/7 c-store operations, shrink management, audits, and reconciliation services, Most Edge ensures that every transaction is secure, accurate, and optimized for success. Beyond technology, Most Edge’s learning academy nurtures employees and owners into tomorrow’s retail leaders, fostering innovation and growth across the industry. By partnering with retailers, distributors, and manufacturers, Most Edge is not just enhancing retail operations—it’s empowering businesses to thrive sustainably, profitably, and confidently in an ever-evolving market.

With customer presence in more than twenty states, the company’s staff services customers from Atlanta, Georgia, Hyderabad, Vadodara and Vijayawada locations.

Role Level & Career Path This is a Lead-level role designed for a senior analytics professional who can own analytics end-to-end while mentoring others. The career Growth Path shall be from Lead BI Analyst → Analytics Manager / Head of BI;
Platform-level ownership across domains (Retail, Finance, Surveillance, Growth); and strategic partner to Product, Engineering, and Leadership teams.

Role Overview  We are seeking a Lead Business Intelligence Analyst to own and scale the organization’s analytics function. This role combines hands-on technical execution with analytics leadership, metric governance, and stakeholder influence. You will define what success looks like in data, ensure analytics are trusted, and drive insight-led decisions across the business. This role is ideal for someone who wants to build analytics foundations, not just reports.
Business Context & Analytics Ownership You will lead analytics across multiple domains, including:
Retail & Operations Intelligence (store performance, labor efficiency, shrink) Transaction & Financial Analytics (sales, margins, reconciliation, anomalies) Pricing & Inventory Intelligence (movement, compliance, profitability) Surveillance & Risk Analytics (pattern detection, exception monitoring) You own:
Metric definitions KPI frameworks Reporting standards Insight quality and consistency Decision Impact & Leadership Exposure Your work directly supports:
Executive leadership reviews Product and platform roadmaps Operational and financial decision-making You will:
Present insights to senior leadership Influence priorities using data Serve as the final authority on analytics truth.

Key Responsibilities  Analytics Leadership & Strategy Define analytics vision, standards, and best practices Establish KPI frameworks and metric governance Prioritize analytics initiatives based on business impact Data Analysis & Insights Lead complex, high-impact analytical initiatives Identify trends, risks, and growth opportunities Guide teams from descriptive to diagnostic and predictive insights Reporting & BI Platforms Architect and oversee dashboards in Power BI, Tableau, Domo, and similar tools Ensure performance, usability, and executive readiness Drive adoption of self-service analytics with guardrails ETL & Data Architecture Oversee and contribute to ETL pipeline design and optimization Partner with engineering on data modeling and pipeline scalability Ensure reliable, auditable, and performant analytics pipelines Data Platforms & Observability Lead analytics usage of Snowflake and other cloud data platforms Work with Elasticsearch, Grafana, or similar tools for operational analytics Monitor pipeline health, latency, and data quality Data Quality, Governance & Trust Own data accuracy, reconciliation, and validation…