Senior Product Analyst (Logistics)

A little bit about us!

At Snoonu, we hold the belief that technology has the power to make anything possible.

Our Vision: to be the first Qatari Super App that propels the region and its community through innovation and technology. We envision a global expansion where what we do surpasses norms and limitations every time.

Our Mission: To radically transform how people live by leveraging technology to connect them with endless possibilities.

Values We Live By

• Be Customer Obsessed - “Focus on the customer and all else will follow.”
• Act with Integrity - “We are honest, ethical, and trustworthy in everything we do.”
• Be Curious and Creative - “We constantly innovate and create solutions to bring a lasting positive impact.”
• Lead by Example and Take Ownership - “Be the change you want to see and take ownership.”
• Work Smart and Deliver Results - “You can do more by doing less, better, and faster.”
• It's all about people - “Be a team player, together we are stronger.”

In this position, you will be working and collaborating with data scientists, backend engineers, researchers, and product engineers in a cross-functional setting. Your core functions as a Senior Product Analyst are to interpret complex data, provide actionable insights to drive business decisions. Responsibilities include data collection, statistical analysis, and reporting, ensuring data integrity, and developing data-driven strategies.

Requirements

• A bachelor's or master's degree in a related field, such as data science, computer science, statistics, or mathematics.
• At least 5 years of experience in product analysis and manipulation, preferably in a senior or lead role.
• Strong proficiency in SQL, Python, and/or R, as well as experience with data visualization tools such as Tableau or Power BI.
• Excellent analytical and problem-solving skills, with the ability to extract insights from complex and large data sets.
• Familiarity with machine learning algorithms and techniques, and experience in implementing predictive models.
• Effective communication skills, with the ability to clearly explain insights and recommendations to non-technical stakeholders.
• Strong attention to detail and accuracy, with the ability to identify and correct errors in data.
• Demonstrated ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.
• Excellent problem-solving skills and ability to work independently, as well as in a team-oriented, collaborative environment.
• Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross-functional team.

Nice to Have:

• Demonstrated Causal analytics skills or full understanding of causality
• Good set of Data engineering skills or familiarity with data processing pipelines.
• Proven experience in food or parcel delivery services.

Responsibilities:

• Collaborate with a cross-functional Logistics focus team of engineers, data scientists, and product managers to implement technical solutions that meet business needs and ensure robustness, scalability, and reliability.
• Analyze and interpret complex data sets using statistical techniques and provide stakeholder insights.
• Design and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
• Identify trends and patterns in complex data sets and provide actionable recommendations to stakeholders.
• Create and maintain dashboards and visualizations for data-driven decision-making.
• Work closely with cross-functional teams to identify and solve complex business problems using data analysis.
• Participate in technical interviews to evaluate candidates' technical skills.
• Stay up-to-date with the latest industry trends and advancements in predictive analytics, ensuring our capabilities remain competitive and cutting-edge.
• Point out areas of opportunity and guide teams in designing complex features. Mentor junior analysts and foster a collaborative development environment.