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Haystack

Data Analyst

Haystack

San Diego, Canada دوام كامل

كن أول من يتقدم بطلب

خبرة
5–8 yrs
مرتب
USD 83,000 – USD 129,900 / year
الوظائف الشاغرة
1
تم النشر
• 3 أفراد
وضع العمل
في المكتب
تعليم
Bachelor's degree in Finance, Accounting, Business or related field
سيرة ذاتية
مطلوب للتقديم

مكان عملك

المسمى الوظيفي

About the Role

We are recruiting on behalf of a partner company associated with Haystack for a skilled Data Analyst. The position involves consolidating expenses within the commercial department, conducting cost analysis, and providing insightful commentary.

Key Responsibilities

  • Aggregate and analyze departmental expenses, delivering detailed reports on cost dynamics.
  • Collaborate with the finance team and operational leaders to coordinate Financial Planning & Analysis (FP&A) efforts.
  • Develop and improve reporting packages, dashboards, as well as recurring FP&A deliverables to support decision-making.
  • Discover and implement automation opportunities in finance processes to increase efficiency and accuracy of analyses.
  • Utilize business intelligence and data visualization software such as Power BI to convert financial and operational data into meaningful insights.
  • Design and upkeep revenue analytics dashboards, visual reports, and automated reporting mechanisms.

Requirements

  • Bachelor’s degree in Finance, Accounting, Business, or a related discipline.
  • Between 5 and 8 years of experience in FP&A or commercial analytics roles.
  • Strong analytical capabilities combined with meticulous attention to detail.
  • Familiarity with Oracle ERP systems and Hyperion is essential.
  • Understanding of US GAAP compliance and accounting principles.
  • Advanced proficiency in Excel, with a preference for candidates experienced in creating or enhancing reports and dashboards using Power BI.

Compensation and Benefits

  • Annual salary ranging from $83,000 to $129,900, reflective of experience and skills.
  • Eligibility for performance-based bonuses.
  • Chance to drive innovation in finance through the application of data, technology, automation, and analytics.

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