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Haystack

Data Analyst

Haystack

San Diego, Canada · Tempo pieno

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Esperienza
5–8 anni
Stipendio
USD 83,000 – USD 129,900 / year
Aperture
1
Pubblicato
2 ore fa
Modalità di lavoro
In ufficio
Istruzione
Bachelor's degree in Finance, Accounting, Business or related field
Riprendere
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Dove lavorerai

Descrizione del lavoro

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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