Job description
You will report to the Commercial Insight Manager who will support your learning and growth. You will be supported by a strong Technology team and Data Operations team who provide data cleansing, data shaping, ETL pipeline and reporting dashboards. You will build strong relationships with colleagues in our Retail team, so that you can anticipate their needs, and provide exactly the right insights at the right time.
Key Responsibilities
- Work with internal clients to understand analysis requirements and propose solutions
- Perform hands on analytical work including database querying, coding, report building and statistical modelling for complex marketing campaigns
- Deliver market and competitor analysis, campaign proposals, financial forecasts, test plans and in-depth results for card linked offer campaigns
- Prepare written documents and slide packs to communicate analysis findings to internal and external clients
- Deliver analysis results to internal clients in frequent face-to-face meetings and presentations, and from time-to-time in external client meetings
- Identify potential efficiencies in the work of the Insight team, and contribute to streamlining, automating and improving the quality of our processes.
Skills Knowledge and Expertise
- 2+ years of hands on experience of analytics work in a marketing, retail, or ad tech context, working with data at large scale
- Enjoys coding and using tools to analyse, summarise and present data
- Sound mathematical and logical reasoning. Able to bring structure to complex problems
- Commercial focus – a broad interest in business, economy, retail and consumer behaviour
- Able to communicate complex issues clearly in writing, and face to face
- Brings a methodical, organised approach to tasks, maintaining attention to detail under time pressure
- Able to manage own time. Understands the importance of hitting deadlines and managing client expectations in a fast-paced, deal-driven commercial environment
- Holds themselves to high standards in both quality and quantity of work
- Technical Skills
- SQL (Essential) writing and troubleshooting queries involving complex joins, functions, aggregations, subqueries etc
- Excel (Essential) creating and adapting spreadsheet models including complex formulae, charts, pivots, array functions, lookups etc
- Tableau (Highly Desirable) creating reports, dashboards
- Python (Useful) experience with libraries for data querying, visualisation and statistical analysis
- Likely to be educated to degree level in a STEM subject, economics, operational research, or data science
Benefits
- 25 days annual leave increasing by one day a year to 30 days (plus public holidays)
- Pension with Hargreaves Lansdown – 4% matched contribution
- Company holiday between Christmas & New Year (extra 3 days)
- Private healthcare with Vitality for yourself and any nominated dependents.
- Early finish on the last Friday of the month (3pm)
- Ability to buy and sell holiday days as well as the ability to bank days (tenure dependent).
- Cashback/discount shopping site (Perks at Work)
- Flexible working options – we are operating a hybrid working model from our London office (to be agreed with your manager)
- Variety of social events throughout the year such as Christmas party, company away day, movie nights, beer and pizza nights to name but a few
About Reward
Helping design, build and operate the best customer engagement programmes in the world, around the world. We power the best customer engagement programmes in the world! We occupy a unique space between retailers and banks helping them to get closer to customers driving incremental sales and lasting loyalty.
Reward
www.rewardinsight.com
London, United Kingdom
Gavin Dein
Unknown / Non-Applicable
51 to 200 Employees
Company - Private
Internet & Web Services
2001