Junior Data Analyst Reading, England
Job description
Job Overview
This is an exciting opportunity to join Qmee, an online rewards and market research company with millions of users worldwide. We are ranked 11th in the Sunday Times Tech Track 100 2020, 24th in the Deloitte Fast 50 2020 and for the last 2 years in the top 100 of the FT 1000 list of fastest growing technology companies. Qmee uses the latest machine learning, event driven design and statistical methods to offer our users the best experience possible.
We are looking for an entry-level/junior Data Analyst who will work with a team of expert Data Analysts/Scientists and a team of very experienced and talented developers. Prior experience of working with data analytics and data science technology is preferred. You will be developing your skill levels and working with the latest technologies as you progress with the company. Programming experience is preferred, and successful candidates should have a Bachelor’s degree in Engineering or Computing Science. Applicant are expected to hold a 2:1 or above to be considered.
Responsibilities for Data Analyst
- Working with various existing Qmee models to help maintain their day-to-day operation and performance.
- Analyse data from existing Qmee models to identify and potentially rectify weaknesses and bugs.
- Running analytics on data to extract statistics, patterns and translate them into actionable decisions. Eventually designing machine learning models and algorithms to contribute to the existing advanced technologies.
- Work together with the developer team and assist on data/statistics related tasks.
- Collaborate with various stakeholders in-order to find the right questions to ask from the data with actionable insights and analysis to support decision making efforts.
- Communicate and present technical information with non-technical team members and stakeholders.
- Transform data using DBT to help make it more accessible to the wider business.
- You will work with time series graphing services such as Grafana in order to create visualisations, monitor and identify trends.
- As you progress, you will get to work with various database technologies (PostgreSQL, Redis, Influxdb, AWS Redshift).
Qualifications for Data Analyst
- Interest in data, statistics, machine learning and data science is essential.
- A Bachelor’s degree (2:1 or above) in Engineering or Computer Science.
- Strong problem-solving skills with an emphasis on product development along with
logical and critical thinking.
- Diligent and attentive to detail, have a strong work ethic and ability to collaborate with different teams in the company.
- Some experience using statistical computer languages (Python, Scala, R, MATLAB) is a plus.
- Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Comfortable working with datasets, applying basic to intermediate statistics (from mean, median, quartile to histograms, KNN, K-means, Bayesian logic).
- Being able to read, write and query SQL.
- Any coding knowledge and experience is a plus.
- Experience using web services/languages: AWS, EC2, S3, Redshift, DigitalOcean, etc is a plus.
Our current technology stack
- Postgres
- Redshift
- DBT
- Grafana
Candidates will require the right to work in the UK
Job Types: Full-time, Permanent
Potential hybrid-working plans (a few days in office and working from home each week)
Job Types: Full-time, Permanent
Salary: £24,000.00-£30,000.00 per year
Benefits:
- Company pension
- Cycle to work scheme
- Discounted or free food
- Employee mentoring programme
- Life insurance
- Paid volunteer time
- Private dental insurance
- Private medical insurance
- Work from home
Schedule:
- Monday to Friday
COVID-19 considerations:
Currently we are all working remote due to COVID-19, successful candidate may be required to meet with training staff in office in Reading
Application question(s):
- Would you require a visa to work in the UK for the next 3 years ?
- What about you is unique that you could apply to this role ?
Education:
- Bachelor's (preferred)
Experience:
- Data Analysis: 1 year (preferred)
Work authorisation:
- United Kingdom (required)
Work Location: Hybrid remote in Reading RG1 3AR
