Data Analytics Manager

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 experience, 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 7+ 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 the 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.