Business Intelligence Lead

About Us:

MostEdge 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, MostEdge 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, MostEdge 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, MostEdge ensures that every transaction is secure, accurate, and optimized for success. Beyond technology, MostEdge’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, MostEdge 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 standards Define data quality metrics and monitoring Act as escalation point for analytics discrepancies Mentorship & Team Enablement Mentor BI analysts and analytics engineers Conduct design and dashboard reviews Raise the overall analytics maturity of the team Cross-Functional Collaboration Partner with Product, Engineering, Finance, and Operations Translate business strategy into measurable outcomes Act as a trusted analytics advisor across teams Data Scale & Complexity Millions of transactions and records across systems High-frequency and near real-time data pipelines Multi-source ingestion (POS, financial, operational, surveillance) Rapidly scaling data volume and use cases.

Required Skills & Experience Core Requirements 8–12+ years in Business Intelligence,

Analytics, or Data Leadership roles Expert-level proficiency in Power BI Strong hands-on experience with Tableau, Domo, or similar BI tools Advanced SQL expertise across large datasets Proven experience designing and overseeing ETL pipelines Data & Platform Experience Deep experience with Snowflake or similar data warehouses Familiarity with Elasticsearch, Grafana, or observability platforms Strong understanding of data modeling and analytics architecture Preferred Qualifications Experience leading BI or analytics teams Background in retail, transaction-heavy, or operational analytics Exposure to real-time analytics and monitoring systems Experience with Python or advanced analytical tooling Mindset & Leadership Traits Thinks strategically but executes hands-on Holds a high bar for accuracy and trust Challenges assumptions with data Coaches others and builds analytics culture.