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 FiveTran)
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.

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Data Analyst

Job description