Lead Data Analyst - Night shift

Key Responsibilities:

Data Leadership: Provide strategic direction using data insights to shape business initiatives, identify growth opportunities, and address potential challenges. Work closely with leadership to align data initiatives with business objectives.

Advanced Analytics & Statistical Analysis: Apply rigorous analytical methods to drive key business decisions. Lead efforts in hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategies.

E-commerce Focus: Leverage your experience in e-commerce to develop actionable insights that improve customer acquisition, retention, and overall user experience in a subscription-based model.

Business Intelligence (BI) Tools: Build, maintain, and improve data products including dashboards, reports, and ad hoc analyses using Tableau and Snowflake to enable data-driven decision-making across the company.

Cross-functional Collaboration: Partner with teams from Engineering, Marketing, and Product to influence strategy and drive execution. Build strong relationships to align business needs with data initiatives.

People Leadership: Mentor and inspire a team of analysts, fostering a data-driven culture. Guide junior analysts on best practices and technical expertise, upskilling the team to enhance overall impact.

Communication & Storytelling: Translate complex data sets into compelling stories. Present insights clearly to stakeholders at all levels, providing actionable recommendations that align with business goals.

Minimum Qualifications:

Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
5+ years of experience in data analytics or related fields, with 2+ years providing technical support and guidance to teams.
Proven experience in an e-commerce environment, preferably subscription-based business models.
Expertise in advanced analytics, statistical methods, and experience with tools such as Tableau, Snowflake, SQL, Python, or R.
Strong ability to communicate both technical details and high-level business strategies.

Preferred Qualifications:

Master's degree or higher in a quantitative field.
Hands-on experience with machine learning, A/B testing, and experimental design.
Deep knowledge of e-commerce KPIs, personalization techniques, and subscription
models.
Strong leadership and stakeholder management skills with the ability to influence at
various organisational levels.