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Job Details
  • Job Title: Deliveries and Fulfilment Data Analyst
  • Job Reference: cinch308k
  • Location: Hybrid – working from home with occasional visits to cinch sites
  • Salary:

Deliveries and Fulfilment Data Analyst

Hybrid – working from home with occasional visits to various office

Hi! we're cinch, a fresh kind of service that makes life easier for motorists. We know what drivers want, so we’ve ripped up the rule book to make sure they get it, faff-free!

Our mission – It’s simple, to take out all the irritations and hold-ups that make changing cars trickier than it needs to be. 

With backing from a large multinational company, this is a very unique opportunity to join a start-up in the early stages of our growth and to join a brand that you’ll be proud to have played a key part in building.

You – So, do you have a faff-free filter? Do you want to work in an energetic team, with open-mindedness and passion? We're looking for people who are agile, full of ideas and want to challenge the norm.

The Deliveries and Fulfilment Data Analyst is a key role within the award winning (DataIQ – best place to work in data 2023) cinch Decision Intelligence function. The successful candidate will be responsible for building out our intelligence-led, data informed ethos across cinch. 

The role

  • Providing ‘best-in-class’ Data Analytics capabilities to cinch, supporting the following business areas; Transport & Logistics, Customer Fulfilment, Customer Experience, Sales Operations, & cinch stores. 
  • Supporting with defining, creating and tracking Deliveries & fulfilment Key Performance Indicators (e.g. Average number of cars delivered per day, Average cars delivered per driver, average deliveries per day, average dead-legs per day, average miles per driver). 
  • Working with Head of Operations (Delivery and Handover) to build a logistics resource forecast to support cinch’s sales plan. 
  • Providing actionable insights to minimise aborted deliveries; improve delivery punctuality and prioritise a faff-free customer experience. 
  • Creating pro-active data analysis with a keen focus on providing timely insights to help drive operational and cost efficiencies for deliveries and fulfilment, with measurable impact on P&L. 
  • Working closely alongside cinch’s wider Decision Intelligence teams, including; BI & Performance Reporting team, Data Engineering & ML Ops team, Digital Analytics & CRO team, Data Science team and other key stakeholders. 
  • Owning the Deliveries and Fulfilment data strategy and roadmap; ensuring the timely delivery of proactive, impactful analytics. 
  • Conducting regular reviews and data cleansing as necessary to ensure all data and reports are accurate, robust & reliable. 
  • Working with relevant source systems and owners to drive improvements in Deliveries and Fulfilment Data Quality; feeding back to data producers to monitor and improve data quality to ensure outputs reliable and accurate. 
  • Ensuring business requirements are being captured via standard processes, e.g. business issue / opportunity identification, hypothesis definition, data extraction, analytics, reporting and action implementation. 
  • Identifying common data analysis & insights requests across the functional area(s) you serve, which could be serviced by a single data product, avoiding duplication of work wherever possible. Working collaboratively with cinch’s Data Engineering & ML Ops Team to further develop transport, logistics and fulfilment data pipelines - sourcing and ingesting additional data where appropriate to support ongoing analytics and insights, as well as to assist in maintaining the integrity of cinch’s data. 
  • Working collaboratively with cinch’s BI & Performance Reporting team to enable development / creation of new Delivery & Fulfilment specific dashboards and ensure best-practise data visualisations are created to enable relevant insights can be provided to stakeholders on a regular basis. 
  • Being an evangelist for the cinch Decision Intelligence function and data in general across cinch, aiding to promote and enhance data literacy across the organisation. 
  • Staying abreast of industry trends and best practices in the use of data and advanced analytical methods. 
  • Great opportunity to develop and perfect your skills as a Data Analyst, through active involvement & participation in cinch’s Data Analysis & Insights community – advancing your technical and non-technical knowledge, skills & competencies. 

The person

  • Demonstrable experience as a Data Analyst in transport, logistics / fulfilment, with a track record of producing data-driven insights and recommendations to various stakeholders. 
  • Passionate about surfacing insights from logistics / fulfilment deliveries data and optimising for cost efficiencies (i.e. routing / driver utilisation etc). 
  • Well-versed in being able to Able to provide pro-active insights as well as data-informed recommendations to enact change. 
  • Naturally inquisitive. You enjoy solving problems. Experienced at documenting your processes and explaining rationale to stand behind your recommendations. 
  • Self-starter, can demonstrate & adopt a pro-active approach and take initiative with minimal supervision / guidance. Entrepreneurial mind set. 
  • Strong communication skills (both written & oral). Compelling storyteller who can tailor their findings & recommendations to the intended audience(s), communicating them in succinct and inspiring ways in order to influence decision making. 
  • Pro-active identification of new opportunities to leverage data for user and business advantage. 
  • Experience with Python. Has an understanding of use of statistics & research designs to support with informing conclusions.  
  • Demonstrable hands-on experience with business intelligence / data visualisation tools (preferably Power BI, but applicants with experience using other data visualisation tooling will be considered). 
  • Experience with SQL in extracting data from source systems.  
  • Intermediary to advanced Excel knowledge (V Lookup, pivot tables, macros). 
  • Strong stakeholder management, able to work effectively both independently and as a member of a cross functional team. 
  • Contribute to improvements in processes (technical and business) to be used by all Data Analysts. 
  • Good time management – ability to balance multiple tasks, and switches priority / focus as needed. 
  • Strong attention to detail.