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indeed

Data Analyst

Industrial Electric Manufacturing
Jacksonville, USA
Onsite
USD 80000-95000 yearly
Discovered 1 weeks ago
Data analysisLarge dataset analysisAI tools and analytics workflowsTableauSnowflakeCustomer behavior analysis

Full Job Posting

Position summary

Data Analyst supporting strategic decision-making and performance management through analysis of customer behavior, marketplace dynamics, and operational performance.

Partners with the Execution and Delivery team to analyze customer forecasts and support staffing strategy.

Reports to the VP of Execution and Delivery.

Location

  • The description identifies the position as US Remote.

Salary

  • Salary range is $80,000–$95,000 per year.

Key responsibilities

  • Develop and enhance analytics frameworks for customer retention, market share, revenue growth, and market expansion.
  • Analyze customer forecasts and their effect on operational performance and business priorities.
  • Use AI tools and modern analytics workflows to improve efficiency, insights, and decision support.
  • Collaborate with Data Science, Infrastructure, and Analytics teams using tools such as Tableau and Snowflake.
  • Share clear, actionable insights and recommendations with Execution and Delivery leadership.

Qualifications

  • At least 2 years of relevant analytical experience working with large datasets and delivering insights.
  • Hands-on experience incorporating AI tools into day-to-day analytical work.
  • Ability to influence stakeholders with data-driven insights and clear communication.
  • Strong attention to detail, data accuracy, business acumen, critical thinking, and problem-solving skills.
  • Experience with visualization tools such as Tableau.

Preferred qualifications

  • Bachelor's or master's degree in Analytics or a related field preferred.
  • Commercial-domain experience preferred.

Work expectations

Promote respect and employee engagement, and demonstrate integrity, discretion, and confidentiality.

Communicate proactively and respectfully and collaborate across teams and with leadership.

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