Lead Data Analyst- Fulfillment at Sendy Limited

About the career opportunity:

Directly accountable to the VP Growht & Data and working together with three direct reports - Data Analyst , Junior Data Analyst and Data Analyst Intern , you will be  in charge of supporting all stakeholders- the engineering, product, marketing, partner, Customer and Third Party Companies by providing insights from our data. The overall purpose of this job is to process and visualize data to make the right decisions that enable us to grow. Furthermore, the role is focused on continuously improving internal processes as well as increasing the value of our data through Machine Learning.

You will be responsible for:

• Development of Data strategy in line with the overall business strategy.
• Develop and execute a road map that adds value to the stakeholders.
• Manage, grow and motivate the direct reports within the data team.
• Perform analytics and leverage existing analytical tools to improve decision making and customer strategy development for key stakeholders across Sendy.
• Support the engineering team to store accurate and required data in an accessible manner.
• Develop ML models and ensure they provide value to the stakeholders.
• Devise and evaluate methods for collecting data and constantly try new tools to improve our setup.
• Visualize the learnings with PowerBI, R, Python and others.
• Support stakeholders in developing and maintaining KPI reports and dashboards that communicate key business trends and highlight opportunities for growth and improvement.
• Fully understand the customers with data and by leaving the office
• Run experiments and gather data to evaluate the success
• Interpret those data to get actionable insights
• Any other duties that may be assigned by the supervisor.

We know you are the best because you have:

• Bachelor’s degree in Statistics, Mathematics or other related fields.
• Minimum three years’ experience in data analytics.
• Proven ability in data analytics & visualization.
• Skilled in SQl, R or python.
• Experience with machine learning algorithms.
• Strong leadership skills
• Strong project management skills
• High-level interpersonal and cross-cultural skills.
• Must be a self-starter and highly organized.
• Analytical, creative thinking and problem solving skills.
• Excellent communications skills.
• Good project management skills.
• Open to change.
• Calm under chaos.