Marketing Analytics Officer
Description
The Marketing Analytics Officer supports marketing strategy and business decision-making by preparing, analyzing, and visualizing data related to the steel industry. The role transforms sales, customer, product, and market data into reliable insights and dashboards to identify trends, monitor performance, and support evidence-based sales plans.
Key Responsibilities
Data Preparation and Analytics
Collect, consolidate, cleanse and validate data from internal sources (sales, order, inventory and customer records) and external sources (market reports, steel price indices, industry and trade statistics).
Develop and maintain structured datasets and data models to ensure accuracy, consistency and traceability of marketing information.
Apply statistical and analytical techniques to identify trends, anomalies and opportunities, and to support demand and market outlook assessments.
Dashboard Design and Visualization
Design, develop and maintain interactive dashboards and recurring management reports, primarily in Power BI and Microsoft Excel.
Automate data refresh and reporting processes to improve efficiency, timeliness and data governance.
Stakeholder Support
Respond to ad hoc analytical requests and contribute to market reviews, business planning and strategic initiatives.
Bachelor’s degree in Data Analytics, Business Analytics, Statistics, or a related discipline.
Strong analytical thinking, attention to detail, and the ability to interpret data and communicate findings clearly.
Proficiency in Microsoft Excel and experience with data visualization tools, preferably Microsoft Power BI.
Knowledge or practical experience in SQL or R is an advantage.
Ability to manage multiple tasks, work collaboratively, and handle business data responsibly.
Interest in sales and marketing analytics within a manufacturing or steel industry environment is preferred.
Qualification
Bachelor’s degree in Data Analytics, Business Analytics, Statistics, or a related discipline.
Strong analytical thinking, attention to detail, and the ability to interpret data and communicate findings clearly.
Proficiency in Microsoft Excel and experience with data visualization tools, preferably Microsoft Power BI.
Knowledge or practical experience in SQL or R is an advantage.
Ability to manage multiple tasks, work collaboratively, and handle business data responsibly.
Interest in sales and marketing analytics within a manufacturing or steel industry environment is preferred.