Data Analyst

Responsibilities

• Standard Reporting & Dashboards – Builds and maintains accurate, timely dashboards and reports that enable daily decision‑making.
• Data Preparation & Structure – Assists with data extraction, cleaning and basic modelling to ensure reliable inputs for analysis and visuals.
• Ad‑hoc Analysis – Delivers clear, concise analysis to answer defined business questions within agreed timelines.
• Quality & Documentation – Applies checks, validates numbers against sources and maintains definitions so outputs are trusted and repeatable.
• Stakeholder Support – Gathers requirements, communicates status and ensures outputs are understandable and actionable.
• Continuous Improvement – Suggests small process/automation enhancements that reduce manual effort and improve consistency.

• BI tools – e,g, Looker (preferred), Tableu, PowerBI
• SQL
• Event Tracking and Web/App Analytics:
  Google Tag Manager, Google Analytics and/or Snowplow
• Consumer App/Web Analytics
• Building data pipelines (preferably using dbt)
• Python
• Data Warehousing (e.g Snowflake, Redshift) and ETL (e.g Five Tran)
• Subscription Product Experience
• Demonstrable level of data literacy and able to extract business needs from data requirements
• Ability to explain data to a less technical audience that influences key decision making and manages expectations
• Assisting with collecting and analysing data; applies basic techniques to identify trends and prepare findings for review.
• Supporting data structuring and simple models/tables to enable reporting and analysis.
• Creating clear, accurate visuals and dashboards that communicate key messages to non‑technical users.
• Planning own tasks, tracks progress and meets agreed time/quality targets within small work packages.
• Communicating with stakeholders to clarify needs and share outputs using agreed channels.

• SQL
• Python
• Data Warehousing
• ETL
• Data Preparation
• Data Cleaning
• Data Modelling
• Building Data Pipelines
• Ad-hoc Analysis
• Consumer App/Web Analytics

• Data Literacy
• Communication
• Stakeholder Support
• Continuous Improvement
• Analytical Thinking
• Attention to Detail
• Time Management
• Requirement Gathering
• Influencing Decision Making
• Documentation