Manager Data Analyst
1 week ago
Role & responsibilities
Data Analysis and Interpretation:
- Collect, cleanse, and analyse data using statistical and data mining techniques.
- Identify patterns, trends, and correlations in data to gain insights into sales performance, market dynamics,
- and customer behavior, route performance and optimization opportunities.
- Utilize advanced statistical models and algorithms to forecast demand, capacity, and resource requirements.
Market and Competitive Analysis:
- Conduct market research and competitive analysis to identify market trends, customer preferences, and
- competitive positioning.
- Analyze market segmentation, customer demographics, and buying behaviors to support sales and marketing
- strategies.
- Provide insights and recommendations on product positioning, pricing strategies, and market expansion
- opportunities.
Performance Monitoring and Reporting:
- Monitor key performance indicators (KPIs) related to sales and distribution, such as revenue, market share,
- customer acquisition, and customer retention.
- Generate regular reports and dashboards to track sales performance, identify areas for improvement,
- collaborate and communicate findings to stakeholders and develop action plans to achieve sales targets.
- Collaborate with cross-functional teams, including operations, marketing, and customer experience, to
- develop effective routes, timings, and network plans to maximise unit level economics.
- Utilize transportation management systems and route planning software to create, evaluate, and modify
- routes based on real-time data and operational constraints.
Collaboration and Stakeholder Management:
- Collaborate with cross-functional teams, including operations, marketing, and customer experience, to
- understand business requirements and develop effective Sales strategies.
- Liaise with external partners, such as carriers and vendors, to ensure smooth execution of transportation
- operations and adherence to established routes.
- Communicate and present findings, analyses, and recommendations to stakeholders at various levels of the
- organization.
Preferred candidate profile
- Bachelor's degree in a relevant field (ie. Project Management, Supply Chain Management, Industrial
- Engineering, Data Science, or a related discipline). A master's degree is a plus.
- 10+ years of experience in data analysis, preferably from sales driven organisations, with proficiency in data
- analysis, and visualization using tools such as SQL, PowerBI, and Excel.
- In-depth knowledge of statistical analysis techniques, forecasting methods, and optimization algorithms.
- Excellent problem-solving and critical-thinking skills with a strong attention to detail.
- Ability to work independently as well as collaboratively in a fast-paced, dynamic environment
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