- ਅਨੁਭਵ
- 5-8 ਸਾਲ
- ਤਨਖਾਹ
- USD 83,000 – USD 129,900 / year
- ਖੁੱਲ੍ਹਣ ਵਾਲੀਆਂ ਥਾਵਾਂ
- 1
- ਪੋਸਟ ਕੀਤਾ ਗਿਆ
- 5 ਘੰਟੇ
- ਕੰਮ ਮੋਡ
- ਦਫ਼ਤਰ ਵਿੱਚ
- ਸਿੱਖਿਆ
- Bachelor's degree in Finance, Accounting, Business or related field
- ਰੈਜ਼ਿਊਮੇ
- ਅਰਜ਼ੀ ਦੇਣ ਲਈ ਲੋੜੀਂਦਾ ਹੈ
ਤੁਸੀਂ ਕਿੱਥੇ ਕੰਮ ਕਰੋਗੇ
ਕੰਮ ਦਾ ਵੇਰਵਾ
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.