Business Data Analyst

Bugloos is looking for a talented and strategic Business Data Analyst to join our growing Center of Excellence (CoE) team. In this role, you will be a key driver in shaping our data-driven culture, empowering teams across the organization to make smarter, faster decisions.

As a Business Data Analyst, you will not only build powerful dashboards and models but also act as a consultant and mentor, helping to define best practices and ensure data quality across the company. If you have a passion for transforming data into actionable insights and a desire to help others do the same, we encourage you to apply.

Key Responsibilities:

• Collaborate with stakeholders across departments (e.g., Marketing, Sales, Operations) to understand their data needs and provide strategic insights.
• Develop, maintain, and publish scalable dashboards and data models using various BI tools to track key performance indicators and business health.
• Define and document BI best practices, standards, and governance procedures to ensure data integrity and consistency.
• Provide training, mentorship, and support to colleagues to foster data literacy and promote a data-driven mindset.
• Conduct advanced data analysis to identify trends, solve complex business problems, and communicate findings through compelling data storytelling.
• Work within an agile framework to manage project timelines and deliverables effectively.

Soft Skills:

• Strong strategic thinking and problem-solving abilities.
• Excellent communication and storytelling skills with data.
• A passion for training, mentoring, and supporting others in data adoption.
• Exceptional attention to detail, with a focus on data integrity and governance.
• Understanding of agile methodology and project management principles.

Technical Skills:

• BI Tools: Strong proficiency with at least one major BI platform (e.g., Power BI, Tableau, Looker, Qlik).
• Databases & Query Languages: Advanced proficiency in SQL is a must.
• Programming: Familiarity with Python or R for data manipulation and scripting is a plus.
• Data Warehousing: Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery) is highly desirable.
• Cloud Platforms: Familiarity with Azure, AWS, or GCP is a plus.
• Version Control: Experience with Git or similar tools.