Data Analyst

• Location: Remote, CA
• $75000 base salary
• Remote: Remote
• Type: Direct Hire
• Job #1559
• Salary: $75,000 - $90,000

Title: Data Analyst

Industry: Construction and Engineering

Location: Remote

Overview: Pacific Executive Search has been engaged on a search for a Data Analyst position that offers you the opportunity to work in the vibrant West LA area while taking on new responsibilities that include managing client relationships and developing analytical models. You would leverage your skills with large data sets and advanced tools like Excel, SQL, and Python to provide valuable insights in the construction equipment rental industry. This role not only promises a dynamic work environment but also positions you for significant career growth as you collaborate with senior management and contribute to impactful decision-making processes.

Description:

Responsibilities

• Maintain and nurture client relationships, addressing inquiries related to analytical results, and create tailored deliverables to satisfy client requirements.
• Design and develop analytical models to furnish clients with industry benchmarks and performance metrics.
• Analyze, enhance, and adapt processes, data structures, and models to improve efficiency.
• Identify research requirements and conduct relevant qualitative and quantitative analyses.
• Handle and analyze extensive data sets, summarizing insights into clear presentations for clients and upper management.

Qualifications

• Education: Bachelor’s degree in business, finance, mathematics, or a related field is essential.
• Work Experience: A minimum of 2-3 years of experience in analytics or a comparable field (such as investment banking, consulting, or accounting) is required, with experience in conducting and reviewing financial or market analyses in a technical setting.
• Skills: Strong analytical, problem-solving, modeling, and presentation capabilities. Proficiency in Excel is required, with familiarity in SQL, Python, R, and VBA considered a plus.
• Ability to manage and process substantial volumes of information, providing actionable recommendations for senior management.
• Excellent interpersonal and customer service skills, along with superior verbal and written communication abilities, and a keen attention to detail.