BI Engineer

Job DescriptionAre you passionate about turning data into actionable insights that drive business success? We are seeking a skilled and motivated Business Intelligence Engineer to join our team.

In this role, you will leverage data to optimize internal operations, enhance business team efficiency, and empower our customers with critical information on their supply chain and quality.

You will improve service quality across various aspects of supply chain management and quality assurance, driving our organization towards excellence.

If you love working with data to automate processes, solve problems, unlock new ways to analyse performance, and collaborate with cross-functional and international teams, we invite you to be a key player in our team's success

Key Responsibilities:

Data-driven Solutions:
Work closely with business leaders to understand and identify user needs and develop data-driven solutions that optimize supply chain processes, enhance customer experiences, and improve operational efficiency

Data Modelling and Automation:
Design and implement scalable data models and automated processes to ensure efficient collection and integration of data from diverse sources

Data Accuracy and Integrity:
Ensure the data remains accurate over time by implementing data cleaning and validation procedures

Collaboration with technical teams:
Collaborate with the tech teams to enhance data collection processes

Interactive Dashboards:
Utilize Tableau Software to develop visually stunning and interactive dashboards tailored for both internal stakeholders and external clients, providing actionable insights to support decision-making

Intuitive Interfaces:
Collaborate with UI/UX teams and Data Visualization Lead to create intuitive interfaces that enhance user experience, leading to improved adoption and engagement with data-driven insights

Performance Tuning:
Continuously monitor and optimize dashboard performance to ensure swift responsiveness, providing users with seamless access to real-time insights

Data Analysis and Process Improvement:

Leverage data analysis to identify opportunities for process improvement and contribute to strategic projects aimed at enhancing business performance and competitiveness.

QualificationsCandidate Requirements:

Education and Experience:

You have master's degree in a relevant field (e.g., Supply Chain, Operations Management, Data Analytics) and have at least 3+ years of experience in a similar role, working with BI solutions such as Tableau, Power BI, Alteryx, Qlik Sense, etc.

Analytical Skills:
Excellent analytical skills, with the ability to interpret complex datasets and derive actionable insights to drive business decisions

Lean Enthusiast:
You demonstrate a genuine passion for lean practices and process optimization, with a proven track record of driving efficiency improvements and cost savings through lean methodologies

Data Modelling & ETL:
You are able design robust data models that facilitate efficient data integration and ensure data integrity and consistency across the organization's systems and processes

SQL and Database Skills:
You are proficient in writing SQL queries and working with relational databases to manipulate and analyze data effectively

Programming Skills:
You are familiar with Python scripting for data manipulation and automation, enabling efficient data processing and analysis workflows

Communication Skills:

You demonstrate excellent verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders to drive data-driven initiatives forward.

Preferred Skills (not mandatory):Quality Management:
You possess experience in quality management, with expertise in either laboratory testing processes, supply chain dynamics, or quality assurance. You also have a good understanding of the challenges and opportunities in those domains.

Data Visualization:
You are familiar with data visualization best practices, and love creating compelling and informative visualizations

Portfolio:
You have a portfolio of existing BI projects to showcase your expertise and creativity in data visualization practices.

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