Data Analytics Manager

MostEdge, also known as Aboveo, is a pioneering force in the retail sector, utilizing an innovative analytics platform to prioritize customer needs and shape the future of retail. Our comprehensive range of solutions, from advanced POS systems to loyalty programs, empowers businesses to optimize customer interactions and drive profitability. By streamlining retail processes and enhancing supply chain management, MostEdge facilitates efficient growth for businesses, eliminating administrative burdens. As a provider of 24/7 c-store operations and comprehensive services, we ensure secure and optimized transactions for our customers. Our commitment extends beyond technology to nurturing talent through our learning academy, fostering innovation and leadership in the retail industry. Partnering with retailers, distributors, and manufacturers, MostEdge propels businesses towards sustainable success in a dynamic market landscape, with a strong presence across multiple states and global locations. **The Opportunity:** As the Data Analytics Manager at MostEdge, you will embark on a journey from an individual contributor to leading a team of analytics professionals. Your role will involve transforming transactional data into actionable insights, driving growth and profitability for MostEdge and its clients. Analyzing transaction data to create revenue streams and empower customers with informed decisions will be at the core of your responsibilities. Leveraging your expertise in analytics and retail dynamics, you will develop strategies that translate data into impactful action plans for growth and customer success. **What Are We Looking For:** You will excel at MostEdge if you embody: - Values such as customer-first approach, service excellence, teamwork, and urgency - A keen understanding of market trends and a passion for driving innovation - A commitment to inspiring others and making a tangible impact - A mindset focused on continuous learning and overcoming challenges - A drive for excellence in a fast-paced environment with a collaborative spirit - Attributes of flexibility, humility, and a sense of humor **Responsibilities:** **Accountability:** - Collaborate with internal teams to align data analytics efforts with company goals - Convert data into revenue streams, optimize customer engagement, and enhance operational efficiencies - Develop actionable insights that drive profitability and sustainable growth - Establish a data-driven culture and ensure data accuracy, compliance, and security - Oversee data operations and ensure meaningful data availability **Scope:** - Analyze transactional data to identify trends, customer behaviors, and market opportunities - Establish methodologies for capturing, enhancing, and sharing data assets - Manage data and analytics operations, including architecture, software development, and integration - Develop frameworks for data usage and monetize data assets **Outcomes:** - Extract value from data with regular use case implementations - Provide data-driven action plans to customers and drive retail strategies - Collaborate with clients to measure impact and improve analytics-driven strategies - Deliver timely insights for pricing management and customer experiences - Implement data visualization infrastructure and a business plan for data monetization **Qualifications:** **Education:** Bachelor's degree in Data Analytics, Business Intelligence, Economics, Statistics, Computer Science, or related field (Master's degree preferred) **Experience:** - 10+ years in data analytics or business analytics within the retail sector - Track record of generating actionable insights and leading data analyst teams - Proficiency in data analysis tools and retail operations understanding **Skills & Competencies:** - Proficiency in data analysis tools like SQL, Excel, Tableau, Python, R - Strong presentation and communication skills - Problem-solving abilities and retail software knowledge - Personal Attributes: Analytical mindset, leadership skills, results-driven approach, curiosity **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 **Bonus:** - Performance bonus - Yearly bonus **Work Location:** In person,