Data Analytics Lead

London - UK

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

TryHackMe is the fastest-growing online cyber security training platform. Our mission is to make learning and teaching cyber security easier by providing gamified security exercises and challenges. Having only been around for handful of years weve grown to more than 6 million community members and our growth isnt slowing down!

The Role

Were looking for a Analytics Lead to join our data team. As a leader of our data team youll be at the forefront of building an analytics culture across TryHackMe. Youll play a pivotal role in delivering impactful insights building scalable analytics solutions and lead the development and implementation of data analytics strategies to support the organisations growth and mentor a squad of analysts. Responsibilities will include:

Deliver actionable insights in a fast-paced environment.
Own the end to end data analytics infrastructure from data pipelines warehousing modelling and reporting.
Collaborating with cross-functional stakeholders to understand business objectives and translate them into data-driven solutions.
Analyse company data to uncover trends opportunities and areas for improvement.
Developing and maintaining data models to support analytics.
Create interactive dashboards and visualisations to effectively communicate insights.
Leverage product usage data to inform product strategies.
Championing data-driven decision making across the organisation and driving the advancement of analytical capabilities.
Lead and mentor a squad of Data Analysts.

Skills & Requirements

5 years of experience working as a data engineer analyst or analytics engineer 2 years of experience as a data lead.
Strong SQL skills are essential.
Demonstrable experience using visualisation tools preferably Tableau.
Knowledge of data warehousing and modelling preferably using dbt.
Experience in event-based analytics to measure user behaviour and conversion performance.
Knowledge of machine learning models & techniques preferred.
Strong problem-solving and communication skills.
Start-up experience preferred.
Interest in pursuing a leadership career.

Benefits & Perks

Salary - We hire across 35 countries. We determine salaries based on Geographic Location Seniority Interview Performance and Market Rates using leading compensation benchmarking tools.

100% Remote - In a fully digital world work from anywhere you want!

Flexi Time - Choose your own hours as long as you have at least 4 hours of overlap with the UK timezone (from 8am - 6pm).

Tools - a dedicated work laptop any accessories you need to do your best work.

Swag Pack - start your TryHackMe journey with a sought-after branded swag bundle!

Personal Development - 2500 training budget to acquire certifications books and more.

Company Retreat - an annual company retreat fully paid for by us!

Health Insurance - if youre in a country that doesnt have public health care.

Enhanced Maternity & Paternity- an enhanced package on top of statutory requirements.

401k / Pension - TryHackMe makes it easy to save money for your retirement.

Lunch on us - whether youre a pizza-lover salad obsessed or a big sushi fan TryHackMe will cover the cost of your lunch order during our recurring company virtual lunches.

Free THM subscription for your circle - we know our platform can be transformative and we want to extend that impact to your family and friends!

Our Hiring Process:

Stage One: Intro call with talent team

Stage Two: Hiring manager call

Stage Three: Technical Take-Home Challenge

Stage Four: Final Interview with Founder

The Role

Deliver actionable insights in a fast-paced environment.
Own the end to end data analytics infrastructure from data pipelines warehousing modelling and reporting.
Collaborating with cross-functional stakeholders to understand business objectives and translate them into data-driven solutions.
Analyse company data to uncover trends opportunities and areas for improvement.
Developing and maintaining data models to support analytics.
Create interactive dashboards and visualisations to effectively communicate insights.
Leverage product usage data to inform product strategies.
Championing data-driven decision making across the organisation and driving the advancement of analytical capabilities.
Lead and mentor a squad of Data Analysts.

Skills & Requirements

5 years of experience working as a data engineer analyst or analytics engineer 2 years of experience as a data lead.
Strong SQL skills are essential.
Demonstrable experience using visualisation tools preferably Tableau.
Knowledge of data warehousing and modelling preferably using dbt.
Experience in event-based analytics to measure user behaviour and conversion performance.
Knowledge of machine learning models & techniques preferred.
Strong problem-solving and communication skills.
Start-up experience preferred.
Interest in pursuing a leadership career.