Commercial Data Analyst

US - Industrial Electric Manufacturing

$95K — $120K *
US-AnywhereRemote in United States
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years of relevant analytical experience with large datasets
  • Bachelor's or master's degree in Analytics or related field preferred
  • Experience in the commercial domain preferred
  • Hands-on experience with AI tools like generative AI and automation
  • Ability to influence stakeholders using data-driven insights
  • Strong attention to detail and commitment to data accuracy
  • Strong business acumen and problem-solving skills
  • Experience mentoring and developing analysts
  • Proficient in visualization tools like Tableau

Responsibilities

  • Develop and enhance analytics frameworks for monitoring key business metrics
  • Analyze customer forecasts and operational performance
  • Provide analytics for quote to order conversions
  • Deliver insights on operational metrics affecting customer satisfaction
  • Utilize AI tools to enhance efficiency and decision-making
  • Collaborate with analytics and data science teams on performance insights
  • Communicate actionable insights and recommendations to stakeholders

Benefits

  • Flexible work environment with remote opportunities
  • Opportunities for professional development and career advancement
  • Collaborative team culture emphasizing respect and engagement
  • Involvement in innovative projects leveraging advanced analytics
  • Support for employee well-being and work-life balance
Full Job Description
Location: US Remote

Reports To: Director, Field Service - Business Systems & Reporting

Salary Range: $95,000-$120,000

Position Summary:

As a Commercial Data Analyst, your goal is to unlock insights that drive the business-supporting strategic decision-making and performance management. This role is responsible for analyzing customer behavior, marketplace dynamics, and operational performance to provide visibility and optimize key business initiatives for one of our top customers.

This role partners closely with IT BI team and business consumers to establish KPI, metrics and dashboards.

Key Responsibilities:
  • Develop, maintain, and enhance analytics frameworks to monitor customer retention, market share and revenue growth and market expansion initiatives.
  • Provide analytics and insights into customer forecast and impact to operational performance and business prioritization.
  • Provide analytics for quote to order conversion.
  • Provide analytics around key operational metrics that influence customer satisfaction.
  • Leverage AI tools and modern analytics workflows to improve efficiency, insight generation, and decision support across day-to-day operations
  • Collaborate with Data Science, Infrastructure, and other Analytics teams using tools such as Tableau and snowflake to deliver timely performance insights
  • Communicate clear, actionable insights and recommendations to stakeholders across the organization

Expectations:
  • Foster a Positive Work Environment: Promote a culture of respect and employee engagement.
  • Professionalism: Demonstrate high integrity, discretion, and confidentiality when handling workplace information.
  • Communication: Foster clear, respectful, and proactive communication with peers, management, and external partners to build positive relationships.
  • Teamwork: Utilize team concepts to collaborate with cross functional and leadership teams to streamline and drive operational success.

Qualifications:
  • 6+ years of relevant analytical experience working with large datasets and delivering insights
  • Bachelor's or master's degree in Analytics or related field is preferred
  • Experience in commercial domain preferred.
  • Hands-on experience incorporating AI tools (e.g., generative AI, automation, or advanced analytics workflows) into day-to-day analytical work
  • Demonstrated ability to influence stakeholders through data-driven insights and clear communication
  • Strong attention to detail and commitment to data accuracy.
  • Strong business acumen, critical thinking, and problem-solving skills
  • Experience mentoring and developing analysts in a team environment
  • Experience with visualization tools such as Tableau

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