Senior Business Intelligence (BI) Engineer
Colombo, WP, Sri Lanka
Millennium IT ESP
Digitally transforming industries with innovative and agile enterprise technology solutions with a legacy of 27 years.Role Summary
As a Senior BI Engineer, you will be responsible for designing, developing, and maintaining scalable and robust BI solutions that support data-driven decision-making.
You will play a critical role in translating business needs into complex analytics and reporting tools that provide key insights into business performance.
Job Description
- Design, develop, and maintain scalable and efficient BI systems and models.
- Design and develop data visualizations, dashboards, and reports that effectively communicate trends, patterns, and predictions using relevant data.
- Work closely with business stakeholders to understand their data analysis needs and develop BI strategies and solutions.
- Collaborate with data management teams to integrate BI tools with existing data systems.
- Perform detailed analytics to identify trends, anomalies, and areas for improvement.
- Ensure the security and integrity of sensitive data across BI platforms.
- Conduct root cause analysis on BI tools and systems to ensure they meet required standards.
- Stay up to date with industry trends and advancements in BI technologies.
- Mentor junior BI engineers and analysts, providing guidance and support as needed.
Person Specification
- Bachelors degree in Engineering, Computer Science, Physical Science, Information Technology, Data Science, or a related field.
- Having a statistical background is beneficial, enabling deeper insights from complex data sets.
- 04+ years of experience in a BI engineering role, with a proven track record of successful BI implementation projects.
- Strong knowledge of BI technologies such as Tableau, Power BI, Qlik Sense, QlikView or similar.
- Excellent problem-solving abilities, analytical thinking, capable of working independently and within a team.
- Knowledge of data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools.
- Experience with SQL and familiarity with programming languages like Python or R.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Business Intelligence Computer Science Data analysis Data management Data warehouse ELT Engineering ETL Power BI Python Qlik QlikView R Security SQL Statistics Tableau
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