Senior Analytics Engineer
Senior Analytics Engineer
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Job Description
Role Title: Senior Analytics Engineer
Reports to Data Analytics Lead
Location: Hybrid (Paddington London)
Role Type: Permanent Fulltime
How do we say our name well it sounds like view. Its also a lot shorter than saying Viewed Impressions for Out Of Home.
VIOOH is a fastgrowing startup that is defining the future of outofhome advertising.
We are a dynamic team building a global platform which automates the buying and selling of outdoor advertising enables programmatic trading and delivers dynamic datadriven content to screens in locations and moments to better resonate with and influence consumers.
Weve recently redesigned our people strategy to create a futureproof hybrid and flexible workplace approach. Employees can work in the office (Paddington London) and from home empowering all VIOOHers to thrive regardless of location and ensuring we can attract diverse talent to support our global expansion.
Role OverVIOOH
VIOOH is hiring a senior Analytics Engineer in its Analytics team. This is an exciting opportunity for an experienced Analytics Engineer to help build an endtoend analytics platform from scratch. You will have the opportunity to work with multidisciplinary teams closely create a data centric culture and help colleagues understand their metrics by enabling the power of our data.
As a fullstack analyst we expect you to own the endtoend analytics process (from semiraw data to charts) fully have an outstanding intellectual curiosity to learn new technologies and excel in your domain. If you follow the current global developments in the analytics field if you can adopt new technologies and implement them into our growing analytics function if youre not afraid of challenging ideas wed like to hear from you.
You will be
- Working closely with the Data Analytics Lead to shape the future of our endtoend analytics strategy
- Working closely with our data architects to maintain high standards of reliability performance and reusability of assets in our data warehouse
- Working closely with the data engineering team to build analytics data pipelines
- Creating analytics ready data models using software engineering best practices (version control testing continuous integration) to support internal and external reporting as well as predictive modelling
- Creating a single source of truth and enabling a selfserve analytics culture
- Optimising our data warehouse to reduce cost and complexity
- Creating and owning metrics creating the best charts to present our metrics creating analytics user journey (we build embedded analytics products)
- Working closely with product & commercial teams understanding their analytics needs helping them by turning our semiraw data into insightful metrics and dashboards
Tools and technologies we use
- AWS S3 AWS Athena for our data storage and queries
- Airflow for orchestration and ETL/ELT
- dbt for data transformation
- Snowflake for data warehousing
- Thoughtspot for data visualisation
- Python and R for predictive modelling and automating jobs
- GitHub for version control
What we expect from you
- Extensive handson experience (ideally min. 35 years) in creating data models (strong dbt experience is required) and ETL/ELT pipelines for analytics applications.
- Excellent SQL knowledge. You should be able to write complex SQL queries to answer business questions also create cost and time efficient data models where we need to make endusers (analysts data scientists selfserve dashboard audiences) lives easier
- Solid understanding of data warehouse design principles
- Great attention to detail
- Experience with data visualisation tools (e.g. Thoughtspot Power BI Tableau Looker QuickSight). Ability to generate simple but insightful visualisations for nontechnical audiences
- Good understanding of Git
- Experience working with data engineering teams to deliver data solutions spanning source systems to endusers working with product and commercial teams to deliver clear reporting and insights
- Experience with JSON files. Most of our data is in JSON format and they need to be flattened
- Experience with integration of data from multiple data sources
- Experience working with a modern data analytics stack
- Excellent communication and stakeholder management skills
Nice to have
- Familiarity with the AWS environment (S3 Athena Redshift)
- Experience with Python (Airflow dbt pySpark Pandas)
- Experience with Snowflake
- Experience with Thoughtspot
- Familiarity with the command line
- Some understanding of Kafka
- Masters degree or equivalent in a quantitative field
- Previous experience in Programmatic / AdTech
Application overVIOOH
Our recruitment team will work hard to give you a positive experience throughout the process no matter the outcome. Your application will be screened closely and you can rest assured that all followup actions will be thorough from assessments and interviews through to your onboarding.
VIOOH is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race religion or belief ethnic or national origin disability age citizenship marital domestic or civil partnership status sexual orientation or gender identity or any other basis as protected by applicable law.
Required Experience:
Senior IC
Employment Type
Full Time
