Remote Data Analyst

Summary

Join Immersive Labs as a Data Analyst to help define how we evidence customer readiness to protect themselves from cyber attacks, working closely with Product leaders and Data leads to ensure data informed decisions.

Requirements

• A strategic, inquisitive, and innovative mindset with the ability to anticipate customer needs, interpret requirements, and deliver consistently high-quality output
• Commercial awareness and able to spot opportunities to use data and build appropriate data models
• Polished communication & presentation skills with the ability to tell stories through the data
• Effective delivery skills with the ability to work well under pressure in an Agile environment
• In-depth SQL knowledge - You should know your left from your right joins
• Experience with Data Visualisation, Analysis, Warehousing tools (we use Looker/ DBT / Snowflake - you don’t need to know these specific ones)
• Knowledge of some statistical techniques
• Interest in Learning Analytics approaches

Responsibilities

• Work with Product Managers to ensure the in-platform reporting meets customer needs
• Liaise with data engineering to ensure data sets that are needed are available and consumable within the platform apps
• Work in cross-functional teams with designers, engineers, and product managers to create designs for any changes that can be circulated with stakeholders before build
• Service customer success and marketing requests for analysis to support customers and knowledge sharing
• Work with user researcher to present qualitative and quantitative data on our product to leadership to inform the product strategy

Benefits

• Time off, flexible and remote working so you can work when is best for you, includes 25 days annual leave +  2 volunteering days and your birthday off
• Look after your family and yourself with private medical insurance, enhanced parental leave, mindfulness groups, critical illness cover, pension, health plan, and more
• Career and learning development through the platform and our ‘Learn Anything’ fund
• Recognition & Rewards for doing great work and living our values and behaviours
• Informal or formal flexible working options, e.g. flexible start and finish times, reduced hours, job share, remote working