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Mercedes-Benz Vans, LLC (Charleston, SC)

Adv, Enterprise BI Platforms

United States of America, Georgia, AtlantaPosted Yesterday
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Job Description

About Us

Mercedes-Benz is USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks.

Job Overview

Are you passionate about enabling enterprise analytics at scale? Do you enjoy solving complex platform and operational challenges in a fast-paced, collaborative environment?

Mercedes-Benz USA is looking for a Lead BI Platform Engineer responsible for the end-to-end ownership of enterprise visualization platforms, including Power BI (Microsoft Fabric) and Tableau.

This role combines platform engineering, operations leadership, and analytics enablement, with a focus on:

            Reliability, scalability, and cost-efficient platform operations

            Governance and standardization across BI ecosystems

            Leadership of day-to-day operations and offshore support execution

            Enablement of enterprise-wide self-service analytics and data consumption

You will work across multiple business domains including Remarketing, Aftersales, Customer Assistance Center, Sales, and Marketing to deliver consistent, high-quality analytics experiences.

Responsibilities

The tasks include, but are not limited to:

1. Platform Ownership & Governance

            Own and manage Power BI Fabric capacities and Tableau Server environments, ensuring availability, scalability, and cost efficiency

            Define and enforce enterprise governance standards across workspaces, datasets, semantic layers, and access models

            Lead capacity planning, workload management, and cost optimization for Fabric and Tableau platforms

            Drive standardization and rationalization of BI assets to reduce duplication and improve scalability

2. Operations & Support Leadership

            Lead day-to-day BI platform operations, ensuring uptime and service reliability

            Manage and oversee offshore support team, including ticket prioritization, SLA adherence, and workload distribution

            Act as primary escalation point for critical incidents and platform issues

            Conduct root cause analysis (RCA) and drive issue resolution and prevention

            Establish and maintain standard operating procedures (SOPs) for platform support and operations

3. Performance & Reliability Engineering

            Monitor platform usage, performance, and health metrics to proactively identify issues

            Optimize dataset performance, query execution, report load times, and gateway connectivity

            Implement monitoring and alerting frameworks to ensure proactive issue detection

            Partner with infrastructure teams on scalability, resilience, and capacity improvements

4. Architecture & Infrastructure Alignment

            Collaborate with infrastructure team to ensure Power BI architecture and roadmap align with evolving BI, AI, and business operational needs

            Ensure accessibility, organization, and integration of data sources to enable seamless data flow, analytics, and use-case development

5. Self-Service BI Enablement

            Define and promote best practices, frameworks, and templates for BI development

            Enable self-service analytics through curated datasets and semantic models

            Provide guidance and working sessions to improve report quality and usability

            Ensure alignment with data governance and security standards

6. Data & Analytics Engineering Support

            Support development of analytics-ready semantic layers and data models

            Develop proof-of-concepts (POCs) and MVP dashboards to accelerate business adoption

            Assist in deployment and validation of reports into the enterprise ecosystem

            Leverage SQL and Python for data transformation and automation where required

7. Stakeholder & Vendor Management

            Build and maintain relationships with business partners and platform teams

            Support Tableau Salesforce activities, including administrative licensing, upgrades, and decommission initiatives

            Collaborate with MBAG central teams, Microsoft, and external vendors to resolve issues and implement enhancements

8. Continuous Improvement & Innovation

            Drive adoption of modern BI capabilities within Microsoft Fabric

            Continuously improve platform performance, governance, and operational efficiency

            Collaborate with global eXtollo and ALICE counterparts to align with corporate strategies and share best practices

            Promote Power BI literacy and AI understanding across VP areas, supporting adoption of Power BI Apps and enterprise reporting solutions

            Foster a data-driven and AI-enabled culture where insights are actively used to inform business decision-making

Qualifications

Education:

University degree or above in Computer Engineering, Computer Science or related field.

  Knowledge, Skills & Abilities:

            6+ years of experience in BI platform engineering, administration, or analytics engineering

            Strong hands-on experience with:

o            Microsoft Power BI (Fabric capacities, semantic models, gateways)

o            Tableau Server administration and architecture

            Experience in:

o            Platform operations and SLA-driven support models

o            Capacity planning, performance tuning, and optimization

o            Managing offshore or distributed support teams

            Strong experience with SQL and Python

            Understanding of data lakehouse and cloud architectures (Azure preferred)

            Experience defining and managing semantic layers and reusable datasets

Additional Information:

Must be able to work flexible hours/work schedule

            Travel domestically and internationally as needed

            Work holidays or weekends when required

            Strong ownership mindset with ability to drive issues to resolution

            Strong stakeholder communication and prioritization skills

            Experience mentoring peers and leading operational teams

            Self-starter with ability to operate in a fast-paced environment

 

EEO Statement

Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.

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Adv, Enterprise BI Platforms at Mercedes-Benz Vans, LLC (Charleston, SC) | Renata