The Senior Data Analyst will be expected to fulfil all aspects of the ‘Data Analyst’ role regarding cleaning, organisation and set-up of data. They will also be expected to undertake complete management of research projects from a data perspective, investigate new areas and avenues of research, help develop junior members of the team, and take an active role in internal and external communication regarding most statistical techniques conducted within the business.
Project Resourcing
- Workload – Use Asana to organise and delegate project work to the right members of the team. Proactively and independently flagging resource crunches ahead of time to the Director of Data Analytics.
- Timings – Ensure the team is delivering data and survey scripts on time and accurately.
Project Management
- Capability – Coordinate with research teams and able to make recommendations regarding types of analysis which can be conducted, as well as ongoing updates regarding general team capabilities and new techniques.
- Design – Full involvement with the research design methodology as required, either during kick-off or client calls. Able to create experimental designs for complex ‘block’ projects as well as for Max-Diffs etc.
- Timings – Complete oversight and ownership of project timings, ensuring all team members are aware of when specific checkpoints are happening, as well as coordinating with projects teams to help navigate any change to timings.
- Kick-off calls – Attend kick-off calls for all projects they are managing, full involvement with timings, feasibility and design details as required. Update the team planner.
- Deliverables – Accountability for final deliverables, either personally checked, or ensuring that checks are completed. Including raw data, data tables, statistical analysis, and reports as required.
Data Cleaning and Organisation
- Project Monitoring – Oversight of Fieldwork projects from beginning to end, coordinating with the research team to ensure that everything is on track and that targets are being met. Able to make recommendations about further actions to be taken should they be needed.
- Cleaning and set-up – Full cleaning of raw data, following the ‘MODE’ system (Missing, Opens, Duplicates, Everything else) – to identify the highest quality participants on a given study. Able to stack sequential monadic data correctly, and merge with screener data correctly. Able to merge multiple datasets if the project requires. Will be able to create clean ‘final’ data files as needed. Able to set up raw data files in Q, and organise all question names and numbers as required. Ensure all elements within Q are accounted for, including table set-up, cross-tab generation and basic statistical tests applied to all questions.
- Checking – Able to fully check other team members work on all of the above.
Statistical Analysis
- Knowledge – Can speak clearly and accurately on all statistical analysis techniques used within the team, as well as the foundational statistical tests used (t-test, Chi-squared, MCCs etc.). Able to explain why each are used and recognise when techniques may need to be adapted.
- Basic statistical analysis packages – Able to conduct all basis statistical tests as per Data Analyst Role – Key Drivers, Correspondence, Penalty, Brand Image Profiles, Pricing, TURF,
- Advanced statistical techniques – Full capability with advanced statistical techniques involving multiple stages or machine learning such as Segmentation, Max Diff, Path Modelling etc. and make recommendations about them to the research teams.
- Leverage – Full ability to leverage knowledge of statistics to help solve research questions.
- Checking – Able to fully check other team members work on all of the above.
Survey Scripting
- Adding questions – Able to add all questions into programming software across all required question types. Able to create new question styles to match questionnaire specifications as needed.
- Routing logic – Able to route participants correctly from one question to another, wither using redirect logic, skip logic, or basic survey block design. Able to screen out participants correctly, ensuring they see no more questions than required and are recorded correctly.
- Quotas – Able to create accurate quotas for all projects.
- Survey design – Capable at creating an efficient and functioning ‘block design’ for projects which require it. Navigating consumers through the correct avenues of the survey.
- Redirects – Can correctly add redirects for completes, screen-outs, and quota fulls.
- Checking – Able to fully check other team members work on all of the above.
Development and Communication
- Research teams – Key liaison with the client facing teams, able to speak knowledgeably and effectively on all aspects of the Oracle team's working, and make recommendations and suggestions as needed.
- Team Members – Help promote/develop junior team members alongside the Director of Data Analytics and above.
- Clients – Active presence in client-facing communications, attending meetings and providing knowledge and expertise to advise on fieldwork decisions.
- Research & Processes – Take an active role in determining future avenues of research or improvement of processes.
This job description is not intended to be all inclusive, flexibility is assumed based on business needs
Requirements
- A degree in a relevant field such as statistics, data analytics, market research, psychology, mathematics or a related discipline can be helpful, but is not essential; we’re open to candidates with diverse backgrounds and strong relevant skills
- Relevant experience in data analytics within research or insight, including data cleaning and organisation, statistical analysis, survey scripting, project management, checking deliverables and communicating technical recommendations to research teams or clients
- Ability to commute/relocate to Leeds, LS15 8GB – reliably commute or plan to relocate before starting work (required)
- Must have the right to work in the UK and will need to bring proof to the interview e.g. a passport or work permit.
About you
You’re highly analytical, organised and detail orientated, with a strong interest in how high-quality data and robust analysis can unlock better research decisions. You enjoy solving complex problems, working collaboratively with researchers and clients, and finding clear, practical ways to explain data and statistical techniques.
You will bring strong experience in data analytics within a research, insight or market research environment, with the confidence to manage multiple projects from a data perspective. You will be comfortable cleaning and organising complex datasets, setting up data in Q, creating and checking tables, applying statistical tests, and helping research teams decide which analysis techniques are most appropriate. Experience with techniques such as key drivers, correspondence analysis, penalty analysis, brand image profiles, pricing, TURF, segmentation, Max Diff or path modelling would be highly valuable. You’ll also be confident in survey scripting, routing logic, quotas and checking the work of others, while being proactive, collaborative and able to support junior members of the team.
What we offer
We offer a competitive salary, a bonus holiday for your birthday, regular socials, a bonus day for charity work, DE&I and wellbeing initiatives and lots of structured training throughout the year. We have a flexible working environment and if there’s something that’s important to you – be it a day you need to pick the kids up, or a specific charity you want to support – let’s talk!
Authenticity is one of our core values, and at Blue Yonder we’re committed to building a diverse, inclusive, and authentic team with equal opportunities. We want to attract, develop, and promote the very best people from all walks of life, so we actively encourage applications from a range of socioeconomic and ethnic backgrounds, as well as others who are underrepresented in our sector, such as disabled or neurodiverse applicants.
Should you be successful in the recruitment process, and if you require any reasonable adjustments to be made to accommodate your interview, let us know in confidence.
For Blue Yonder’s Senior Data Analyst, we offer a competitive starting salary range of £29,500 to £40,000 based on the qualifications and experience of each individual. Blue Yonder offers a benefits package for this position which includes:
- Flexible working location and hybrid working. In addition to our flexible working policy, you will be required to work at least 2-3 days in the office during your first 3-6 months, until you are ready to work independently.
- Support with work from home needs you may have
- 26 days holiday (plus bank holidays) + one per year up to 27 days
- Company pension scheme
- Extra day off on your birthday
- Volunteering day every year
- Fully renovated flexible / hybrid office in 2024
- Bi-annual promotion and salary review windows
- 2 major company parties a year + monthly socials organised by our own social and charity team
A bit about Blue Yonder, a Curion company
We specialise in delivering impactful insights to the world’s top CPG companies, helping them develop winning, repeatedly purchased products. Our deep data-driven product insights, sensory expertise, and state-of-the-art consumer centres enable them to uncover responses to critical client objectives. With over five decades of experience in the product testing industry, we are dedicated to guiding clients in every stage of their product development, connecting brands to consumers at every step.
An innovator in the industry, we recently developed a groundbreaking benchmarking product testing method, the which has become a trusted and sought after tool within the industry. As one of the largest product and consumer insights companies in the U.S. and U.K., we have for excellence and trust among the world’s leading consumer brands. Our commitment to innovation and expertise, coupled with a passion for delivering actionable insights, makes us a valuable partner for companies looking to develop and launch successful products.
Pay: £29,500.00-£40,000.00 per year
Benefits:
- Casual dress
- Company pension
- Free parking
- On-site parking
- Paid volunteer time
- Referral programme
Work Location: Hybrid remote in Leeds LS15 8GB
