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