Data Analyst
1 week ago
We are seeking an experienced Data Analyst to join our dynamic data team. In this role, you will be a key driver in transforming complex data into the actionable insights that power our strategic decisions. You will partner directly with critical stakeholders, including Sales, Product Owners, and Senior Management, to shape business strategy and drive performance.
You will leverage our cutting-edge data stackGCP, BigQuery, DBT, and Airflowto build and scale robust data solutions. This is not just a reporting role; you will own analytical projects from end-to-end, helping teams define their data needs and building the sophisticated Looker dashboards that provide clear answers.
We are looking for a passionate data practitioner with proven experience who thrives in a collaborative environment. You will actively use our AI-assisted development workflow to enhance your analysis, build solutions more efficiently, and stay at the forefront of data technology.
Key Responsibilities:
Deep-Dive Analysis & Insights:
Conduct comprehensive, deep-dive analyses into complex datasets within BigQuery to identify key trends, opportunities, and business challenges.
Partner with stakeholders to define, track, and interpret Key Performance Indicators (KPIs) and business metrics.
End-to-End Dashboard Development:
Design, develop, and own the end-to-end creation of insightful and user-centric dashboards exclusively in Looker.
Optimize and maintain our LookML models to ensure data accuracy, performance, and scalability as business needs evolve.
Data Modelling & Transformation:
Develop, test, and maintain robust, scalable, and well-documented data models using DBT.
- Build and refine data transformation logic within our BigQuery warehouse to prepare data for analysis.
Collaborate with data engineers on data pipeline integrity and enhancements, (pipelines managed via Airflow), to ensure reliable data ingestion.
Collaboration & Storytelling:
Translate complex analytical findings into clear, compelling narratives and actionable recommendations for both technical and non-technical audiences.
Work closely with cross-functional teams to understand their requirements and proactively deliver data-driven solutions.
Continuous Improvement:
Champion data quality and best practices within the organisation.
- Stay current with the latest trends in our tech stack and the broader analytics field, actively leveraging our internal AI-assisted tools to improve workflows.
Your Profile
Qualifications:
- 1-3 years of hands-on experience in a data analytics, business intelligence, or a related role.
- Strong, demonstrated proficiency in SQL for complex querying and data manipulation.
- Proven experience building and maintaining dashboards in a modern BI tool; direct experience with Looker is a major advantage.
- Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Economics, or another quantitative field.
- Strong analytical, quantitative, and problem-solving skills with high attention to detail.
- Excellent communication and stakeholder management skills, with the ability to present complex information clearly.
Preferred Qualifications:
- Hands-on experience with DBT for data modelling and transformation.
- Experience working with a cloud data warehouse, especially Google BigQuery.
- Familiarity with data pipeline orchestration tools like Airflow.
- Working knowledge of Python (e.g., pandas, NumPy) for data analysis.
- Experience with version control (e.g., Git).
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