At a Glance
- Tasks: Support data reporting across global platforms and resolve complex data inquiries.
- Company: Join N Consulting Ltd, a leader in retail and sales analytics.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Work in a globally distributed team with flexible hours and potential weekend shifts.
- Why this job: Be part of a dynamic team making impactful decisions with data.
- Qualifications: 5+ years in production support and experience with BI tools required.
The predicted salary is between 50000 - 60000 £ per year.
Location: London, England, United Kingdom
Salary: £250 - £300 /day
Job Type: Full-time
Date Posted: April 22nd, 2026
Work mode: Hybrid, 3 days WFO
The team works across the globe 24/7 in different shifts from different locations (8 hours per day). UK resource may have to work in their time zone. Weekends can also be included based on the necessity but comp-off will be given for it. Please ensure the candidates are fine with this.
Contract duration: 1 year
Industry: Retail and Sales
Minimum Qualifications:
- Production Support experience is mandatory.
- Experience in Sales or Channel Performance reporting and related metrics and KPIs, ideally within a technology company.
- Demonstrated ability to support business-critical Business Intelligence platforms in an operational capacity.
- Experience querying data sources to investigate, validate, and explain data to business users.
- Experience working with BI platforms and tools such as Tableau, ThoughtSpot, Business Objects, or equivalent.
- Ability to manage concurrent support requests across multiple platforms and time zones with consistent quality and responsiveness.
- Strong written and verbal communication skills, with the ability to translate technical findings into clear business language.
- Bachelor's degree or equivalent experience required.
Preferred Qualifications:
- Familiarity with B2B and B2C sales reporting structures, including Institutional Sales, Consumer Channel metrics, and related data definitions such as ICDF.
- Experience operating within automated support workflows (e.g., Slack-based intake, chatbots, or ticketing systems) and managing exception handling when automation is insufficient.
- Ability to work effectively in a globally distributed team model with regional handoff requirements and follow-the-sun coverage expectations.
- Knowledge of data pipeline concepts sufficient to distinguish between data latency, logic errors, and platform defects during investigation.
- Experience collaborating with engineering and product teams to escalate, document, and track resolution of platform issues.
Responsibilities:
- Deliver Cross-Platform Subject Matter Expertise: Develop and maintain deep working knowledge across two reporting platforms — Horizon (Total/B2C Consumer Markets) and Business & Education 360 (B2B) — including data definitions, business logic, pipeline behavior, and differences in reporting structures between Consumer and Institutional Sales.
- Operate a Tiered Support Model: Function as Tier 1 support for requests that cannot be resolved through automation — including missing or incorrect data investigations, cross-report discrepancies, metric interpretation, and platform logic clarification. Function as Tier 2 oversight for automated workflows (Slack forms, Accord bot, HCL), intervening when automation fails, requests are incomplete, or unusual patterns require manual review.
- Manage the Slack Support Workflow: Monitor and triage incoming Slack support requests across five categories — Access Requests, Report Data Inaccuracy, Report Other Problems, Enhancement Requests, and general questions — ensuring accurate categorization, timely response, and clear user communication including request status and resolution ETA.
- Conduct Data Investigation & Reconciliation: Investigate and resolve complex data questions, including reconciling metric discrepancies between Horizon and B&E 360, validating report accuracy, diagnosing unexpected reporting behaviour, and identifying data pipeline or logic issues. Determine whether an issue reflects user misunderstanding, expected platform behaviour, data latency, or a true defect requiring escalation.
- Guide Users on Data Interpretation: Provide clear, accurate explanations of metric definitions, data availability, reporting limitations, and platform-specific logic to ensure users correctly interpret data across both B2C and B2B ecosystems.
- Ensure Operational Continuity & Escalation: Collaborate with the Platform Operations Lead, Data Engineering (GBI), and Reporting Product Owners to escalate platform defects, broken data pipelines, and systemic reporting issues. Support executive-level inquiries requiring deeper analysis.
Production Support - Data reporting employer: N Consulting Limited
N Consulting Limited is an exceptional employer located in Solihull, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from comprehensive growth opportunities, including professional development and involvement in global projects, all while enjoying a supportive environment that values their contributions to digital transformation initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Production Support - Data reporting
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research the company and role thoroughly, and practice answering common questions. We want you to feel confident and ready to showcase your skills in production support and data reporting.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Production Support - Data reporting
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Production Support role. Highlight your experience in data reporting and any relevant BI tools you've worked with. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in production support can benefit our team. Keep it concise but impactful!
Showcase Your Communication Skills:Since strong communication is key for this role, make sure your application reflects that. Use clear language and structure your thoughts well. We need to know you can translate technical jargon into business-friendly terms!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at N Consulting Limited
✨Know Your Platforms
Make sure you have a solid understanding of the BI platforms mentioned in the job description, like Tableau and Business Objects. Familiarise yourself with their functionalities and how they relate to data reporting, as this will help you answer technical questions confidently.
✨Demonstrate Your Support Experience
Prepare examples from your past roles where you've successfully managed production support requests. Highlight your ability to handle multiple queries across different time zones, and be ready to discuss how you ensured quality and responsiveness in your support.
✨Communicate Clearly
Since strong communication skills are essential for this role, practice explaining complex technical concepts in simple terms. You might be asked to translate technical findings into business language, so think of examples where you've done this effectively before.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific instances where you've investigated and resolved data discrepancies or reporting issues. Highlight your analytical approach and how you collaborated with teams to escalate and document platform issues, as this will demonstrate your capability in a tiered support model.
