Data Analytics Manager MostEdge

About MostEdge

Job Description

COMPANY BACKGROUND MostEdge also operating as Aboveo 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, MostEdges learning academy nurtures employees and owners into tomorrows retail leaders, fostering innovation and growth across the industry. By partnering with retailers, distributors, and manufacturers, MostEdge is not just enhancing retail operationsits empowering businesses to thrive sustainably, profitably, and confidently in an ever-evolving market. With customer presence in more than twenty states, the companys staff services customers from Atlanta, Georgia, and Hyderabad, Vadodara and Vijayawada, India locations. The Opportunity: As the Data Analytics Manager at MostEdge, you will initially start as an individual contributor during the business concept validation and pilot phases and eventually lead a team of analytics professionals dedicated to transforming complex transactional data into actionable insights that drive growth and profitability for both MostEdge and its customers. You will play a critical role in analyzing the companys transaction data to (a) convert those insights into viable revenue streams for the company, and (b) ensure that companys customers make informed decisions that optimize their retail operations. Additionally, you will also be responsible for publishing insightful reports that represent the "Voice of the Shopper," enabling MostEdge to communicate key market trends and consumer behaviors to stakeholders. The role requires a deep understanding of analytics, retail dynamics, and the ability to translate data into meaningful action plans that drive growth and customer success. What Are We Looking For: You will thrive in MostEdge if you have: Values of customer first, service excellence, keeping it simple, teamwork, urgency. Student of the market and is in tune with what is happening around them. Passion for doing something amazing and let others achieve the same. Commitment to making something happen and inspiring others. Ability to learn fast and recognize there is an invisible line between success and short comings. Mindset of not giving up.help team completing things today vs. tomorrow. Drive and excitement for working in a fast-paced environment. The desire to work collaboratively with a tight knit but quickly growing team. Flexibility, humility, and a sense of humour Responsibilities: Accountability Work closely with internal teams (e.g., product, marketing, sales) to understand business needs and align data analytics efforts with overall company goals. Convert data into actionable revenue streams by identifying new sales opportunities, optimizing customer engagement, and enhancing operational efficiencies. Develop actionable insights and recommendations that directly impact the bottom line, focusing on profitability and sustainable growth. Develop use case financial drivers and implementation risks. Establish data driven culture across the organization Deploy tools and methodologies that help capture, version control, regression testing, and sharing of the analytic assets in the organization. Accountable for data accuracy, validity, regulation compliance, privacy, and security. Oversee the data use operations. Ensure that the data is available and meaningful Scope Analyze complex transactional data to identify key trends, customer behaviors, and market opportunities. Establish methodology to identify, validate, prioritize, and document the key business of the organization and the operational use cases. Create a methodology that facilitates the capture, refinement, enhancement, and sharing of data assets in an organization. Manage the data and analytics operations, which includes the architecture, user requirements, software development, and AI and ML integration. Drive the development of frameworks, control policies, and help employees understand data usage. Demonstrate the value of data by monetizing the data assets of the organization Outcomes Extract value from data from one use case every 90 -120 days Work directly with customers to provide insights and data-driven action plans that help them achieve their business objectives. Help clients understand the potential of data analytics in driving their retail strategies, improving customer experiences, and increasing profitability. Collaborate with clients to track performance, measure impact, and continuously improve analytics-driven strategies. Deliver data-related insights on time for pricing management and store360 customers, which will impact the organizations responsiveness, profitability, and business processes to customers. Implement PowerBI or other data visualization infrastructure within 30 days for the use case approval Develop and implement a business plan for data monetization in 60 days after the use case approval Qualifications: Education: Bachelors degree in Data Analytics, Business Intelligence, Economics, Statistics, Computer Science, or a related field (Masters degree preferred). Experience: o 10+ years of experience in data analysis or business analytics within the retail industry (experience in a leadership role preferred). o Proven track record of generating actionable insights from transactional data and transforming them into profitable outcomes. o Experience in leading and mentoring a team of data analysts. o Strong understanding of retail operations, consumer behavior, and sales strategy. Skills & Competencies: o Proficiency in data analysis tools (e.g., SQL, Excel, Tableau, Power BI, Python, R). o Strong ability to create and present data-driven reports and presentations. o Excellent communication and interpersonal skills, with the ability to interact effectively with clients, team members, and senior executives. o Strong problem-solving abilities and the capacity to turn complex data into actionable recommendations. o Knowledge of retail management software, POS systems, and e-commerce platforms is a plus. Personal Attributes: o Analytical mindset with an ability to see the big picture while diving deep into the details. o Strong leadership and people management skills with a passion for mentoring. o Results-driven with a focus on measurable outcomes and long-term growth. o Curiosity and a commitment to staying up-to-date with industry trends and data analytics best practices. Job Types: Full-time, Permanent Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Morning shift US shift Performance bonus Yearly bonus Work Location: In person Expected Start Date: 15/07/2025,