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AI Data Analytics

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Employment
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What you’ll work on

Full posting
  • Turn business department requests into analysis methods and data model specs

  • Analyze customer-consultant conversation data from E-badge and write insight reports

  • Lead suppliers and IT on model customization, timeline and accuracy checks

  • Co-develop an AI agent that auto-generates vehicle model data reports

  • Design a ChatBI tool and role-based data permissions for staff and dealers

From the employer’s posting
Translate business logic into technical specifications for customized data models.
Periodically analyze customer-consultant conversation data collected via E-badge.
Lead communication with external suppliers and IT counterparts to align on final analytical solutions.
Partner with the IT team to develop an AI Data Analysis Agent that automates the generation of comprehensive vehicle model data reports.
Co-design and deploy a ChatBI tool to enable conversational data queries for both manufacturer internal staff and dealers.

What you’ll bring

All qualifications

Core experience

  • 3+ years in BI, data analytics, or AI product management
  • Bachelor's degree or above in data science, analytics, statistics, CS or related field
  • Understanding of LLM applications, AI agents, RAG and ChatBI concepts
  • Professional fluency in Chinese and English
Qualification wording
3-5+ years of experience in business intelligence, data analytics, or AI product management.
Bachelor’s degree or above in Data Science, Business Analytics, Statistics, Computer Science, or a related field.
Solid understanding of LLM applications, AI Agents, RAG architecture, and ChatBI concepts.
Professional fluency in both Chinese and English.
Education & alternatives
Qualifikationen Education - Bachelor’s degree or above in Data Science, Business Analytics, Statistics, Computer Science, or a related field. Experience ‑ 3-5+ years of experience in business intelligence, data analytics, or AI product management. - Experience in automotive retail, consulting, or conversational data (NLP/LLM) projects is highly preferred.
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Posting record

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Open 3 monthsWe first saw this posting 95 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Aug 10, 202695 days ago
Recorded sightings
497
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 95

Up longer than most. Similar jobs usually come down between day 5 and day 43.

Well past Mercedes-Benz Group’s usual: its jobs come down by about day 28.

From 14,545 similar postings that came down, and 79 of Mercedes-Benz Group’s. Coming down is not always a hire.

Mercedes-Benz Group is hiring

17 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is steady
  • Takes jobs down quickly
Hiring record

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Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Aufgaben

Objective of Job

Establish and own the AI-driven data analytics methodology to transform frontline retail conversational data into actionable business intelligence.

Act as the core bridge between business departments, external suppliers, and internal IT to define analytical frameworks, lead data model customization, and drive the co-development of automated AI Agents and ChatBI tools, empowering both internal management and the dealer network with agile, permission-based data insights.

Main tasks

1. Business Demand Alignment & Methodology Construction
- Gather and synthesize data insights requirements from various internal business departments.
- Build and constantly optimize standardized analysis methodologies and evaluation frameworks.
- Ensure analytical definitions and logic align with overall business KPIs and strategic goals.

2. Routine E-badge Insight Generation & Deep-Dives
- Periodically analyze customer-consultant conversation data collected via E-badge.
- Deliver deep-dive insight reports covering customer behavior, product pros/cons, competitor benchmarks, and sales process execution.
- Conduct dynamic, ad-hoc data deep-dives based on immediate business requests to identify operational anomalies or market shifts.

3. Vendor & IT Coordination for Model Customization
- Translate business logic into technical specifications for customized data models.
- Lead communication with external suppliers and IT counterparts to align on final analytical solutions.
- Manage the project timeline, review deliverable quality, and validate model accuracy before deployment.

4. AI Agent & ChatBI Co-Development
- Partner with the IT team to develop an AI Data Analysis Agent that automates the generation of comprehensive vehicle model data reports.
- Co-design and deploy a ChatBI tool to enable conversational data queries for both manufacturer internal staff and dealers.
- Define and implement strict data permission matrices to ensure secure, role-based data access.
 

Becoming part of Mercedes-Benz means finding your individual role and workspace to unleash your talents to the fullest. It means becoming your best self in a global automotive company that has the goal to build the most desirable cars in the world. Empowered by visionary colleagues who share the same pioneering spirit.

Together for excellence.

Qualifikationen

Education
- Bachelor’s degree or above in Data Science, Business Analytics, Statistics, Computer Science, or a related field.

Experience 
‑ 3-5+ years of experience in business intelligence, data analytics, or AI product management.
- Experience in automotive retail, consulting, or conversational data (NLP/LLM) projects is highly preferred.

Skills
- Methodology & Acumen: Outstanding ability to build structured data analysis methodologies and translate abstract business pain points into concrete data models.
- Tech-Savviness: Solid understanding of LLM applications, AI Agents, RAG architecture, and ChatBI concepts. While hands-on coding isn't the primary focus, the ability to technically align with IT and vendors is crucial.
- Stakeholder Management: Exceptional communication and alignment skills to manage complex relationships across business units, technical IT teams, and external suppliers.
- Language: Professional fluency in both Chinese and English.

 

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Beijing, China

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