Início Índia Lead - Holman Consulting Services [T500-16319]

Início Índia Lead - Holman Consulting Services [T500-16319]

Lead - Holman Consulting Services [T500-16319]

Full time na H.E. Services India no India
Publicado em February 21, 2025

Detalhes do emprego

A legacy of excellence, driving innovation and personalized service to create exceptional customer experiences. About H.E. Services At H.E. Services vibrant tech Center in Hyderabad, you’ll have the opportunity to contribute to technology innovation for Holman Automotive, a leading American fleet management and automotive services company. Our goal is to continue investing in people, processes, and facilities to ensure expansion in a way that allows us to support our customers and develop new tech solutions. Holman has come a long way during its first 100 years in business. The automotive markets Holman serves include fleet management and leasing; vehicle fabrication and up fitting; component manufacturing and productivity solutions; powertrain distribution and logistics services; commercial and personal insurance and risk management; and retail automotive sales as one of the largest privately owned dealership groups in the United States. Join us and be part of a team that's transforming the way Holman operates, creating a more efficient, data-driven, and customer-centric future. Read more about us < > JOB INPUTS

  • Provide guidance and mentorship to junior analysts. Conduct training sessions as needed to enhance skills.
  • Perform complex data analyses that require a higher level of expertise .
  • Lead large-scale data projects from inception to completion.
  • Coordinate with multiple stakeholders to ensure project success.
  • Implement and oversee quality assurance processes for data analysis and reporting.
  • Engage with stakeholders to understand their data needs and provide subject matter expertise and insights.
  • Liaison with primary contact to coordinate workflow and projects.
  • Manage and allocate resources effectively to support various projects.
  • Identify opportunities for process improvements and innovation in data analysis.
  • Monitor and evaluate the performance of the analytical team
Relevant Work Experience:
  • 5 + years of experience creating dashboards, reports, semantic model using Power BI and authoring measures using DAX.
  • Minimum 3 year experience in SQL for complex database queries and data extraction.
  • Minimum 2 year experience in Working with Python.
  • Minimum 1-year professional work experience in Azure.
  • Advanced skills in Microsoft Office (Excel, Word & PowerPoint).
  • Familiarity with Automotive/Fleet data preferred.
Planning / Organizing / Managerial Knowledge:
  • Creative, advanced problem-solving skills.
  • The ability to transfer prior experience to new assignments.
  • Excellent organizational skills and the ability to coordinate and manage multiple priorities while maintaining a high quality of work.
  • Self-motivated and able to structure one's work plan with minimal supervision.
  • Works well in a collaborative environment.
  • Must be able to think critically and use logical reasoning to solve data and business challenges.
  • Demonstrate leadership of projects in high visibility situations and critical business projects.
  • Ability to execute all phases of a project with minimal oversight.
Communicating & Influencing Skills:
  • Excellent presentation skills to communicate the purpose, value, and details of data analytic projects.
  • Ability to write technical requirements and technical documentation.
  • Reasoning and negotiation are required when navigating user requests v. technical feasibility and workload. These conversations may be at the manager, director or even VP level depending on the nature of the request.?
  • It is often necessary to adapt oneself and influence the working habits of others; projects are typically assigned to 2-3 analysts, often with diverse cognitive and working styles.
  • Ability to influence requestors and work partners to achieve optimal scope and methods.
Education:
  • Bachelor's Degree in one of the following areas Business Administration, Economics, Finance, Data Science, Computer Science, Statistics

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