Hi, my name is

Nikolai Nosov

From the shop floor to the cloud — 15 years making complex data systems work for the people who depend on them.

A continuous learner looking to join a modern and strategically focused analytics team that learns together in a joint mission to turn data into a competitive advantage. 15+ years of proven ability to lead projects and teams, while engaging hands-on with technical challenges. Ability to resolve ambiguous problems aided by a top-tier MBA and a diverse set of experiences.

Midlothian, TXnikolai_nosov@yahoo.com682-305-4647

Experience

Daimler Truck North America
Jul 2024 – Present
Technical Product Owner - Data Platforms

Lead cloud data platform teams powering vehicle connectivity solutions for North American customers.

  • Maintain 24/7 uptime of enterprise-grade data platforms supporting a fleet management portal, remote diagnostics, over-the-air updates, and DaaS products.
  • Own the team backlog — defining initiatives, setting objectives, and leading Agile ceremonies to keep delivery aligned with strategy.
  • Drive platform architecture decisions, evaluating emerging cloud technologies and shaping data infrastructure strategy.
  • Manage a multi-million-dollar budget across infrastructure, licensing, and labor.
Daimler Truck North America
Sep 2022 – Jul 2024
Engineer - Analytics Data

Developed connected vehicle analytics products across a 300K+ truck fleet.

  • Led multiple data products end-to-end — from telematics ingestion and enrichment through analysis and stakeholder-ready delivery.
  • Gathered analytics requirements directly from business stakeholders, bridging the gap between operational needs and technical delivery.
  • Developed geospatial analytics using connected vehicle data to target Battery Electric Vehicle (BEV) infrastructure investments across North America.
Gartner
May 2022 – Sep 2022
Manager - Service Analytics and Productivity

Managed retention analytics for a global subscription-based research and advisory platform.

  • Mentored an offshore development team, serving as the critical link between technical delivery and executive expectations.
  • Built rapid credibility across Global Services, IT, and the Chief Data Office — enabling aligned stakeholder engagement.
Implementation Engineers LLC
Sep 2021 – May 2022
Consultant - Industry 4.0

Implemented business intelligence solutions, on-site, for one of the world's largest aerospace and defense suppliers.

  • Designed an app-like Tableau dashboard to visually analyze production and quality metrics, directly resulting in an increased scope of analytics work and contract extension for the firm.
  • Developed Python scripts to expedite data wrangling and accumulate data snapshots for baseline KPIs.
  • Delivered on analytics requirements of a 13-person project team by procuring data, uncovering insights, recommending process improvements, and developing sustainability plans.
Kaizen Analytix
May 2021 – Aug 2021
Consulting Manager - Business Analytics

Led client engagements - consisting of custom and pre-built analytics solutions - while helping expand the practice by interviewing and recommending candidates.

  • Automotive: Designed data strategy for a Vehicle Specification Management System, documented progress in JIRA and reported out to client stakeholders.
  • Automotive: Liaison with client's senior leaders to define requirements for a vehicle specifications analytics web application.
  • Financial Services: Collaborating with client's executives and strategy teams, supported front-line business operatives in adoption of a pricing recommendation application developed by the firm.
Cummins
Dec 2020 – Apr 2021
Project Manager - Analytics and Planning

Scoped complex analytics projects, developed execution plans, and executed analysis.

  • Partnered with IT to provision Microsoft SQL Server and Power BI Service to deliver analytics content to 2000+ users.
  • Led informal data communities across the enterprise to enable knowledge sharing, while forming strategic partnerships, to develop long-term frameworks, tools, and standards.
  • Shaped the back-end data model development process to meet business requirements, dialing in organizational focus on enabling efficient, single-source analytics.
Cummins
Dec 2015 – Dec 2020
Manager - Analytics and Technical Training

Responsible for developing a team of functional leaders and individual contributors supporting sales and service operations across 8 states with 1200+ employees, 21 branches, and 500+ dealerships.

  • Founded an analytics team by structuring, recruiting, and mentoring a team of data analysts responsible for gathering business requirements and delivering dashboards/ad-hoc reports.
  • As a subject-matter expert of relational databases containing company data, participated in teams spearheading Six Sigma/Lean, business case development, and operational improvement projects.
  • Designed and implemented a labor overtime analytics initiative that enabled $2M+ in annual savings.

Education

The University of Texas at Austin
MBA — Master of Business Administration
Jul 2014 – May 2016
  • McCombs School of Business
Ferris State University
BS — Automotive and Heavy Equipment Management
Aug 2003 – May 2007

Skills

Programming Languages
SQLKQLPythonPySparkC#HCL
Data & Cloud Platforms
Microsoft AzureAzure Data Factory (ADF)Azure Data Lake Storage (ADLS)Azure DatabricksAzure Data Explorer (ADX)Azure Cosmos DB for PostgreSQLSnowflakeCloudera Data Platform
Analytics & Visualization
Microsoft Power BITableauCARTOGrafanaMicrosoft Excel
DevOps & Collaboration
Azure DevOpsGitHubJiraPagerDutyTerraform.NET

Certifications & Training

Certification
Microsoft
Microsoft Certified: Azure Data Engineer Associate
Microsoft
Microsoft Certified: Power BI Data Analyst Associate
Microsoft
Microsoft Certified: Azure Data Fundamentals
Microsoft
Microsoft Certified: Azure Fundamentals
Python Institute
Certified Associate in Python Programming
Tableau
Tableau Desktop Specialist
Training
Snowflake
Hands-On Essentials: Data Warehousing Workshop
Purdue University
Introduction to Data Science
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