Senior BI Engineer

About the Role

Mumzworld is scaling fast, and data is central to our success.

Senior BI Engineer

This is a high-impact role, reporting directly to the Head of Data, and working cross-functionally with business teams, product managers, and engineers to transform data into actionable intelligence.

You will not only deliver robust dashboards and deep-dive analyses but also help define metrics, improve data literacy across the company, and ensure that our analytics layer is consistent, trusted, and scalable.

generative AI tools

Key Responsibilities

• Deliver Impactful Insights

Build, maintain, and optimize dashboards, reports, and deep-dive analyses to support critical business decisions.

• Create Impact Dashboards with Storytelling

Design dashboards that not only show data but tell a clear story highlighting insights, business implications, and actions.

• Define and Standardize Metrics

Work closely with stakeholders to define KPIs and ensure consistency in metrics across business domains.

• Model for Analytics Needs

Collaborate with data engineers and modelers to ensure data structures (in bronze, silver, gold layers) are optimized for reporting and analytical needs following medallion architecture principles.

• Drive Business Conversations

Translate business questions into clear analytical deliverables; turn data findings into actionable insights and business narratives.

• Ensure Data Quality & Trust

Validate data accuracy and drive initiatives to improve data reliability across all reports and dashboards.

• Leverage Gen AI for Productivity

Promote the use of Generative AI tools to accelerate report building, automate documentation, and summarize insights faster.

• Advance Data-Driven Culture

Conduct workshops, share knowledge, and uplift the organization's data literacy and self-service capabilities.

• Support Data Science Projects

Partner with the data science team to ensure BI foundations support predictive models, experimentation, and advanced analytics initiatives.

What We're Looking For

• 5+ years of experience in business intelligence, data analysis, or analytics roles.

• Expertise in BI tools like Looker, Power BI, or Tableau.

• Strong SQL skills to extract, transform, and analyze large datasets.

• Solid understanding of data modeling principles (especially star schema and medallion architecture).

• Understanding of incremental load vs full load strategies, and a passion for building your own scheduled queries and data refreshes.

• Experience working with cloud data warehouses like BigQuery or Snowflake.

• Strong business acumen with the ability to translate data into business value.

• Experience building self-service datasets, semantic layers, or LookML models is a plus.

• Excellent communication skills able to present complex findings in a clear and actionable way.

Nice-to-Have

• E-commerce experience Familiarity with product, customer, and order data structures.
  
• Experience with dbt Cloud and modern analytics stacks.
  
• Exposure to data governance, catalogs, or metadata management tools.
  
• Experience with GitHub for version control in analytics workflows.
  
• Understanding of privacy, GDPR, and data compliance best practices.
  

Who You Are Soft Skills & Personality

We're looking for a curious, business-savvy, and detail-driven BI analyst who thrives in a fast-paced, collaborative environment.

• Structured & Organized You design with clarity, document your work well, and maintain consistency across reports and analyses.
  
• Collaborative Communicator You work well with both technical and business stakeholders.
  
• Results-Oriented You focus on delivering impactful insights that drive business outcomes.
  
• Analytical & Curious You dig deep into data, question assumptions, and continuously look for improvement opportunities.
  
• Team Player You support, teach, and uplift others across the organization.