Analytics Engineer, QuantSpark
£40-55k
+ Share Options
More information about location
Data analytics services consultancy
Job no longer available
Data analytics services consultancy
21-100 employees
Job no longer available
£40-55k
+ Share Options
More information about location
21-100 employees
Company mission
QuantSpark's mission is to help governments and businesses solve critical strategic problems using data-driven processes, including understanding and analysing data from disparate systems, and building decision-support tools on the basis of those insights.
Role
Who you are
- Prior experience in a Data/Analytics Engineering role, ideally working alongside Analytics or Software Engineering teams
- Advanced coding skills in Python with experience with Numpy/Pandas
- Strong version control skills, with experience collaborating on large codebases and managing code across different environments
- Strong data modelling experience, with a knowledge of best practice when designing schemas
- Experience building ETL/ELT pipelines with tools such as Airflow and dbt
- Data warehousing experience (e.g. Redshift, Snowflake)
- Some Cloud experience, ideally within AWS (S3, EC2, Lambda, etc.)
- Excellent consulting, communication, and interpersonal skills, with the ability to collaborate effectively with internal and external teams at all levels
- Good level of business acumen and an ability to deliver commercial value for clients
Desirable
- Experience with Docker is highly desirable
- Experience working with unstructured and semi-structured data along with DBMSs designed to store this type of data (e.g. MongoDB)
- Experience using data downstream for analytical purposes e.g. building dashboards (PowerBI, Tableau), predictive modelling, etc
What the job involves
- Reports to: Lead Analytics Engineer
- You will be joining the Analytics Engineering Team, that sits at the interface between our Software Engineering and Analytics Consulting teams, and, in general, tries to blend skills from across these disciplines
- Members of the team serve a pivotal role in our cross-functional delivery teams, assisting with the design and creation of complex analytical features, whilst also helping to facilitate effective communication across the team
- As an Analytics Engineer you’ll be responsible for working with the team to develop and maintain data pipelines, data warehouses, and data models for analytical purposes while working as an effective member of a collaborative team
- In this role, you will utilise strong communication skills to work cross functionally to deliver commercial value to clients by translating data insights into actionable solutions
- Utilise your Data Engineering expertise to design and implement scalable data pipelines, using tools such as Airflow and dbt
- Maintain existing solutions by resolving any issues which are detected and perform root cause analysis to continually improve the stability of our data platforms
- Gather requirements from stakeholders to design performant, logical data models which serve high-quality data to dashboards and business users
- Produce clear documentation for all the work you do, ensuring that all decisions, assumptions, and limitations are logged
- Work with product managers to scope out the enhancement of existing features and development of new ones
- Maintain and optimise the backend architecture of our existing Flask/Django-based web applications
- Work alongside other Analytics Engineers to deliver improvements to our ways of working e.g. adopting new tools, creating reusable packages of code, etc
Salary benchmarks
Our take
QuantSpark helps governments and businesses to strategically apply data science through the development of complex decision-making software. Primarily, their work involves analysing large datasets and systems in order to understand customer behaviour and help clients make informed decisions for strategic planning in sales and marketing.
In recent years, big data has become central to the operation of businesses large and small, and this has led to great demand for data scientists fluent in sophisticated modelling and analysis. QuantSpark seeks to go a step further, providing a service which combines data science with commercial insight- effectively providing both services through one transaction. By doing this, QuantSpark hopes to offer clients a more meaningful insight into their data than a standard consultancy could.
They already have an impressive client list, including the UK Government, the Australian Government and Bain Capital. QuantSpark's tools and solutions are developed to become embedded in their clients' operations, ensuring a long-lasting relationship between them, and meaning that, as QuantSpark continues to expand its client base, its model should allow it to see continued success in the future.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- £6000 yearly training budget
- Opportunity to work from abroad for 20 days per year
- Flexible working between our core hours of 10am - 5pm
- EMI Share Options Scheme
- Generous pension contributions
- Top tier Private Healthcare with Vitality
- Optional monthly socials, dinners, and fun nights out
- Opportunity to work on social impact & pro bono strategy projects
- A fully stocked supply of breakfast, fruit, and refreshments for the days when you are in the office
- 33 days total holiday
Company values
- Diversity
- Analytical Rigour
- Teamwork
- Entrepreneurialism
Company HQ
London, UK
Leadership
Adam Hadley
(CEO & Co-Founder)With Master's degrees from Oxford and KCL, Adam divides their time between running QuantSpark and Tech Against Terrorism- the world's preeminent NGO helping to tackle terrorists' use of the internet.
People progressing
Anastasia is our Head of People and Operations. Anastasia joined the business as EA to Adam, our CEO, and quickly built out a department of her own which continues to expand.
After 1.5 years, Sophie was promoted to a Lead role and then established a Product department, expanded to 5 PMs, 2 new specialist skillsets, and fostered promotions within her team.
Daniel joined us as a Data Analyst in 2019 and now leads the Analytics Engineering Team and is an integral part of the business.
Diversity, Equity & Inclusion at QuantSpark
- QuantSpark is an equal opportunities employer committed to fair and equitable treatment for all potential employees, regardless of sex, gender, sexual orientation, marital status, race, nationality, ethnicity, religion, age, or disability.
- We utilise diversity and inclusion data to pinpoint areas of improvement to our hiring process.
- We are transparent with our salary bandings to encourage everyone to feel empowered in their negotiations, and to ensure parity with our existing teams.
- We have a flexible approach to our interview process, utilising video interviews and take-home assessments. We aim to increase the variety of our assessment styles, to offer fair opportunity to all types of candidates.
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