Senior Data / BI Analyst

About Us

Men don’t look after their health unless they have to. We want to change that from the ground up. We are building the global destination for men's health, scaling at an incredible pace, and leading the charge to help improve the lives of men everywhere. We started from the UK, then expanded to Brazil and are currently looking to bring our product to many more people across the world.

We’re de-stigmatising how men approach their health by offering easy access to diagnostics, a holistic range of treatments, ongoing care and medical advice, as well as a community to help men proactively improve their health and wellbeing. A place that didn't exist until now.

After a $30 million Series A round from the US and Europe's top investors that have also invested in Peloton, Oatly, Deliveroo and Farfetch, we are on a mission to build one of the most impactful teams in the healthcare space. We are looking for incredibly ambitious, entrepreneurial, driven and fun people to join us as we accelerate our growth and expansion.

This is an exciting time to join the UK's fastest growing men's health destination and help supercharge our mission.

The Role

We have an entire business that is starving for data and eager for insights, so we’re on the lookout for a BI / Analytics wizard who can work hand in hand with the business to start driving value from our data. You’ll thrive in this role if you’re as comfortable talking with teams across the business to solve a range of problems, as you are wrangling data and designing dashboards.

Your day to day will be varied, from creating amazing visualisations and running adhoc analysis on retention rates, or even supporting our data engineer in building out some data pipelines for your next great dashboard. You’ll be part of the team shaping the future of how we think about data at Manual, including the rebuilding of our data platform from the ground up using the latest and greatest tools (Fivetran, DBT, Snowflake, Tableau).

Responsibilities

• You will be the go-to person/s for reporting and analytics at Manual

• You will be responsible for building out our reporting repository with interactive, visual and self-explanatory dashboards

• You will work closely with key stakeholders across the organisation to understand data requirements and appetite, translating these into value-adding data solutions

• You’ll spend time teaching users how to use our key data sets and reporting, educating them on data and enabling self-service

• You will work hand in hand with our data engineer/s to guide them on data requirements and support where necessary in the build out of pipelines and the data warehouse

• You will build a deep understanding of the data landscape in Manual alongside a broad understanding of all aspects of the business

• This will enable you to support adhoc analysis, modelling and reporting and ensure these are provided in the most efficient way possible and at speed

Requirements

Experience

• Experienced in the end-to-end development of reporting solutions from data exploration and wrangling, through to development and training

• Experience developing a breadth of reporting and analysis - from easy to digest numbers based reporting through to interactive, visual and self-explanatory dashboards

• Experience designing solutions with a consistent, attractive and easy to use UI

• Experience with working directly with end users to define, refine, and deliver reporting and analysis

• Experience in running training sessions for users with a range of knowledge and experience; from novice to expert

• Experience with instilling self-serve in to an organisation

• Nice to have previous experience in the health, wellness, hospital, pharmaceutical or digital / ecommerce

• Nice to have previous experience in a start-up environment / must enjoy working in a fast paced environment

With the following Technical Skills:

• SQL

• Tableau

• Snowflake / DBT / Fivetran experience a bonus
  

• Solid understanding of data warehousing concepts

• Python (nice to have)

• Airflow (nice to have)

• Google Analytics / Big Query / PostgresSQL (nice to have)

• Facebook Ads / Snapchat / Tiktok / Google Ads (nice to have)

• Prior data engineering experience (nice to have)

Benefits

• Competitive salary based on experience

• Generous stock option plan

• Enhanced workplace pension contributions

• Hybrid, flexible remote working - up to 40% remote (incl. up to 30 consecutive days at a time)

• Macbook pro or PC Laptop (your choice!)

• Perkbox perks - discounts and freebies at hundreds of the top brands!

• 25 days holiday

• Very competitive maternity, paternity, adoption, shared parental leave, parental leave policies