Analyze electronic commerce Gross Merchandise Value, product sales, store traffic, and marketing advertisement performance to identify trends and insights.
Assist in the execution and monitoring of various digital marketing campaigns.
Monitor and track sales funnel performance to identify optimization opportunities.
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To lecture/teach the course(s) assigned and cover the syllabi outlined for the assigned course(s) in a logical and readily understood sequence, and in accordance with students' assignment requirements.
To assist students in the understanding of the topics covered and generally to prepare them for their final examinations.
To guide students in the understanding of assignment requirements.
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Partner with product, design, and engineering teams to obtain insights, design experiments, and lead important product decisions.
Support strategic plans with data insights, performing deep-dives into user behavior, segmented views and product efficacy.
Provide tailored analysis for specific products and strategies, define critical business and product metrics, and make regular recommendations for continuous improvements.
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Define and own the analytics roadmap, aligning it with MR DIY's business objectives and the broader digital transformation strategy.
Identify high-value analytics opportunities across merchandising, supply chain, store operations, finance, and customer/loyalty domains, and prioritise based on business impact.
Translate ambiguous business questions into structured analytics problems with clear success measures.
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Develop and implement efficient processes for collecting and analyzing both internal and external data, transforming them into actionable operational insights.
Extract and cleanse data from the data warehouse using SQL, applying necessary transformations and formulas to ensure data quality and consistency, followed by comprehensive analysis.
Manage large datasets to generate data-driven insights that support business strategy, operational improvements, and informed decision-making.
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Role Purpose:As a Data & Analytic Engineer, your new role will involve driving analysis and providing business insights to support the growth and expansion of the university operation. Once a project is assigned to you, you will be responsible for understanding the requirements, establishing the process, providing a timeline, collaborating with the team and stakeholders, and performing technical functions such as data extraction, cleaning, structuring, massaging, and analysis using primarily the Structured Query Language (SQL) programming language. These activities will result in insights and recommendations that will be presented to the users. Additionally, you will be required to generate reports for the user as needed. You will work with a team to execute assigned projects and report to the project team. If you excel in critical thinking and possess the ability to analyze complex datasets, this role is well-suited for you.
KEY RESULT AREAS / RESPONSIBILITIESDevelop and implement efficient processes for collecting and analyzing both internal and external data, transforming them into actionable operational insights.Extract and cleanse data from the data warehouse using SQL, applying necessary transformations and formulas to ensure data quality and consistency, followed by comprehensive analysis.Manage large datasets to generate data-driven insights that support business strategy, operational improvements, and informed decision-making.Define key performance indicators (KPIs) and establish processes to monitor and evaluate business performance and progress.Analyze trends, assess current operational strategies, and provide critical insights to identify potential risks and areas for improvement.Automate reporting workflows to streamline data delivery and enhance team and organizational efficiency.Collaborate with internal stakeholders to understand business challenges, define problem statements, gather requirements, and prioritize and implement sustainable data-driven solutions that address business needs.Design, maintain, and automate reports, dashboards, and business processes to meet the reporting needs of various stakeholders across the organization.Maintain detailed documentation for all tasks, processes, and analytical findings to ensure transparency and knowledge sharing.