Manager - Analytics

About:

Founded in 2021, Sugarfit provides a “Personalised evidence-based path to Type 2 and Pre-Diabetes Reversal & management”. Sugarfit leverages a precision health platform combining CGM sensors, Machine Learning, and Medical Science to improve human metabolic health and reverse chronic disease through precision nutrition, progressive fitness and behavioural health advice. We are backed by Cure.fit, Tanglin Venture Partners and Endiya Partners with $20M + with various rounds of funding.

Role Overview

e Manager - Analyti

Key Responsibilities

• Data Strategy & Analysis
  Develop and implement analytics strategies that align with business objectves
• Analyze large datasets to uncover insights that drive decision-making and optimize performance
• Create dashboards, reports, and data models to monitor key business met

  rics.

• Business Insights & Decision Support
• Provide actionable insights through data visualization and storytelling
• Collaborate with leadership to identify business challenges and deliver data-driven solutions.
• Conduct deep-dive analyses to support growth, marketing, product, and operational strategies.

Cross-functional Collaboration

• Partner with product, marketing, sales, and operations teams to support data-driven initiatives.
• Collaborate with engineering and data teams to ensure data quality and integrity
• Translate business requirements into technical solutions for analytics projects.

Team Leadership & Project Management

• Lead, mentor, and develop a team of analysts, fostering a culture of data-driven thinking
• Manage multiple projects simultaneously, ensuring timely and high-quality deliverables.
• Stay updated on industry trends and best practices in data analytics and visualization.

Qualifications

• 3+ years of experience in data analytics, business intelligence, or a related field, with at least 2 years in a leadership role.
• Proficiency in analytical tools such as SQL, Python, R, Tableau, Power BI, or equivalent.
• Strong knowledge of statistical analysis, data modeling, and visualization techniques.
• Excellent problem-solving skills with the ability to translate complex data into actionable
• insights Strong leadership, communication, and stakeholder management abilities.