Job description
Zigzag is looking for a Sr Data Analyst to join our team!
Role Overview
The Data Analyst is a critical member of the organization, bridging business needs and data-driven solutions. Responsible for analyzing data, providing actionable insights, and supporting strategic decisions, this role collaborates closely with stakeholders, operations teams, and engineers to ensure high-quality analytics and the development and effective use of data solutions.
Key Responsibilities
Business Analysis & Stakeholder Engagement
Collaborate with stakeholders across all business units to deeply understand business processes, challenges, and data requirements.
Clearly document business data needs and translate them into actionable technical specifications.
Act as a bridge between engineering and operations teams to operationalise and automate data processes.
Data Modelling and Reporting
Design, build, and maintain data models, dashboards, and reports that support operations and strategic decision making.
Own, manage and optimize the BI platform and derived data models.
Proactively troubleshoot and manage improvements to reporting logic and data workflows.
Data Analysis & Quality Assurance
Conduct a detailed analysis to identify trends, patterns, and actionable insights
Lead investigations into data anomalies and swiftly resolve issues to maintain data integrity
Continuously monitor data quality and implement measures to ensure accuracy across all data systems.
Skills & Experience
5+ years of experience as a Data Analyst, Business Analyst or related role in a data-centric environment
Industry experience in finance, payments, and SaaS, highly desirable.
Advanced proficiency with SQL, and experience using data visualisation tools such as Looker
In-depth understanding of data modelling concepts, data transformation, and analytical methodologies
Proven experience managing large datasets
Exceptional communications skills, capable of effectively managing relationships with diverse stakeholders
Experience with data warehousing platforms such as Snowflake is desirable
Success in the Role Looks Like
Stakeholders consistently rely on and trust your data products and insights to make informed decisions
Technical specifications for data solutions are clear, precise, and facilitate efficient, error-free implementation.
Documentation for dashboards, data models, and data processes is comprehensive, clean,r and kept up to date.
The BI system and data models are well-maintained, free from the clutter of unused reports and outdated models.
Proactive identification and resolution of data issues to improve overall data quality and trust
