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- Tasks: Support users with data queries and help them navigate our learning management system.
- Company: Join MSX, a global leader in optimising vehicle manufacturer operations.
- Benefits: Flexible working hours, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real difference by helping others understand and utilise data effectively.
- Qualifications: Strong analytical skills and familiarity with data interpretation and reporting tools.
- Other info: Diverse team environment with a commitment to equal opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
MSX has been a trusted partner to leading vehicle manufacturers, their retailers, and mobility organizations globally for more than 30 years. Our commitment to help our clients transform their businesses and effectively manage operations in the areas of Sales Performance, Repair Optimization and Compliance, Parts and Accessories Sales Performance, and Consumer Engagement. With our global teams, industry expertise, and the power of technology, we design and deliver tailored, sustainable, and innovative solutions and services that help our clients optimize their operations and captivate their customers.
Provide a clear role profile for supplier‑provided 1st Line Support agents who will handle day‑to‑day operational queries about Thrive LMS dashboards/Analyse and custom Power BI reports. The emphasis is data literacy: agents must interpret learning data, explain metrics and filters, and triage discrepancies with confidence.
Scope of Support
- Inbound channels: Email, Teams chat.
- User types supported: Retail managers, market admins, content owners, learners (via admins), internal L&D stakeholders.
- Typical queries:
- "How do I check who’s registered for which event?"
- "Why do I see different completion numbers in Dashboard X vs Report Y?"
- "How do I filter learners by market/dealer/job role?"
- "Where do I find certification status for a retailer?"
- "The report is blank for me — do I have access?"
Core Responsibilities
- Front‑line triage & resolution of platform/reporting questions within agreed SLAs.
- Data interpretation & explanation (definitions, filters, time windows, RLS/security, refresh cadence).
- Reproduction & evidence gathering (screens, steps, IDs, filters, timestamps) for escalation‑ready cases.
- Source‑of‑truth checks: Cross‑verify figures between Thrive Analyse and Power BI.
- Knowledge base upkeep: Flag recurring issues and training gaps.
Qualifications
- Learning systems data domains: users, org hierarchy/markets, groups, tags/metadata, learning objects/assets, pathways, events/sessions, registrations, attendance, completions, certifications, assignments/targets.
- Thrive LMS (operator level): navigation, Events & Sessions, Pathways, Certifications/Tags, Assignments/Targets, dashboard filters, exports, and common admin views.
- Power BI (consumer/support level): workspaces vs apps, datasets vs reports, slicers/filters, RLS, subscriptions/alerts, export limits, refresh types & schedules.
- Data quality concepts: duplicates/merges, missing values, late‑arriving facts, time zone effects, soft‑deletes, canonical IDs, surrogate keys.
- Metrics literacy: registrations vs attendance vs completion; attempts/re‑enrolments; active vs suspended users; certification definitions.
Nice to have
- Basic SQL (read‑only), Excel pivot proficiency, SCORM/xAPI familiarity.
Competencies & Behaviours
- Analytical reasoning: trace a number; isolate variables; compare like‑for‑like.
- Communication: simple, non‑jargon explanations; crisp summaries and next steps.
- Customer empathy & ownership: proactive updates; clear expectations; closes the loop.
- Precision & consistency: meticulous with IDs, timestamps, filters and screenshots.
- Collaboration: knows when/how to engage L2 BI, platform teams, or vendor support.
Day‑to‑Day Tasks (Examples)
- Guide a manager to list event registrations for a date range/market.
- Diagnose a report discrepancy by checking: selected filters, hidden page filters, date grains, excluded statuses (e.g., cancelled/waitlist), RLS scope, refresh timestamp, and pathway vs asset roll‑ups.
- Validate certification status for a retailer: confirm tag/assignment logic, and assignment status.
- Confirm whether a user’s Power BI app access aligns with expected RLS scope.
Tooling & Access
- Thrive: admin views for dashboards/Analyse; Events & Pathways views; exports.
- Power BI Service: access to relevant apps/workspaces (read), view refresh history, usage metrics (read), CSV/Excel export.
- Snowflake Thrive BD (if competent to leverage.)
- Productivity: Excel (pivot), secure file share for evidence.
Security & Compliance
- MFA, GDPR/PII handling, least‑privilege access, no local data retention beyond policy, redaction in screenshots where required.
MSX is an equal opportunities employer and encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, neurodiversity or other personal characteristics and backgrounds, age, sexual orientation, gender reassignment, religion or belief, or marital and parental status. As users of the Disability Confident scheme, we interview all disabled applicants who meet the minimum criteria for the vacancy.
Data Analyst in Warwick employer: MSX International
Contact Detail:
MSX International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Warwick
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis. We can help you with mock interviews to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills with a portfolio! Create a few sample reports or dashboards using Power BI to demonstrate your data literacy and analytical prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we’re always on the lookout for talented individuals like you.
We think you need these skills to ace Data Analyst in Warwick
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data analysis and any relevant tools like Power BI. We want to see how your skills match the job description, so don’t hold back!
Show Off Your Data Skills: In your application, give examples of how you've interpreted data or solved problems in the past. We love seeing candidates who can demonstrate their analytical reasoning and communication skills clearly.
Be Clear and Concise: When writing your application, keep it straightforward. Use simple language and avoid jargon. We appreciate crisp summaries that get straight to the point, just like you would when explaining metrics to a client.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at MSX International
✨Know Your Data Inside Out
Make sure you’re familiar with the key data concepts mentioned in the job description. Brush up on metrics literacy, data quality concepts, and the specifics of Thrive LMS and Power BI. Being able to confidently discuss these topics will show that you’re ready to tackle the role.
✨Practice Common Queries
Anticipate the types of questions you might be asked during the interview, such as how to check event registrations or diagnose report discrepancies. Practising your responses will help you articulate your thought process clearly and demonstrate your problem-solving skills.
✨Show Off Your Communication Skills
Since the role requires explaining complex data in simple terms, practice summarising technical information in a way that’s easy to understand. Use examples from your past experiences where you’ve successfully communicated data insights to non-technical stakeholders.
✨Demonstrate Customer Empathy
Prepare to discuss how you would handle customer queries with empathy and ownership. Think of examples where you’ve gone above and beyond to ensure a customer’s needs were met, as this will highlight your proactive approach and commitment to excellent service.
