6 days ago

Finance Data Analyst

Salas O'Brien

Hybrid
Full Time
$95,000
Hybrid
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Job Overview

Job TitleFinance Data Analyst
Job TypeFull Time
Offered Salary$95,000
LocationHybrid

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Job Description

Finance Data Analyst

The Finance Data Analyst will be responsible for collecting, analyzing, and presenting data to support business decision-making. This role involves designing ETL data flows, developing business intelligence dashboards, creating user-friendly forms in SharePoint, and visualizing data through reports and charts. The ideal candidate will ensure data integrity, develop efficient data solutions, and collaborate with various teams to meet business needs.

Data Collection & Management

  • Collect and compile data from various sources, ensuring accuracy and completeness.
  • Maintain and update organizational dashboards.

Data Analysis & Reporting

  • Analyze data to identify trends, patterns, and anomalies.
  • Develop and maintain regular reports, dashboards, and visualizations to support decision-making.
  • Create ad hoc reports as needed for special projects or inquiries.

Data Quality & Integrity

  • Perform data validation and cleaning to ensure data quality.
  • Monitor data quality metrics and implement improvements as necessary.

Collaboration & Communication

  • Work closely with cross-functional teams to understand data needs and provide analytical support.
  • Present findings and insights to stakeholders in a clear and understandable format.

Process Improvement

  • Identify opportunities to streamline data collection and reporting processes.
  • Implement automation where possible to improve efficiency and reduce errors.

Compliance & Security

  • Ensure all data handling practices comply with company policies and relevant regulations.
  • Maintain the confidentiality and security of sensitive data.

Skills And Experience

  • Bachelor’s degree in Mathematics, Computer Science, Business or related field or equivalent years of relevant experience in lieu of degree
  • Seven (7)+ years of progressive data reporting and analytics experience
  • Ability to work independently and manage multiple tasks simultaneously
  • Strong attention to detail and commitment to data integrity
  • Ability to communicate complex data insights in a clear and concise manner to non-technical stakeholders
  • Strong proficiency in Excel (Pivot Tables, Macros, Financial Modeling)
  • Knowledge of data warehousing
  • Experience with data visualization tools (Tableau, etc.)
  • Strong analytical and problem-solving skills
  • Proficiency in the following applications: Deltek Vantagepoint, JavaScript, Microsoft Power Automate, Microsoft SharePoint, Microsoft SQL Server, Microsoft Visual Studio, SQL Server Management Studio (SSMS), SQL Server Reporting Services (SSRS)

Work environment

  • Collaborative team environment
  • Can be fully remote or in office if available
  • Fast paced financial environment with complex business unit growth organically or via mergers and acquisitions

Key skills/competency

  • Data Analysis
  • ETL
  • Business Intelligence
  • Dashboard Development
  • Data Visualization
  • SQL
  • Excel
  • SharePoint
  • Data Integrity
  • Financial Reporting

Tags:

Finance Data Analyst
Data Analysis
ETL
Business Intelligence
Dashboard Development
Data Visualization
SQL
Excel
SharePoint
Financial Reporting
Deltek Vantagepoint
SSRS
Tableau
Data Warehousing

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How to Get Hired at Salas O'Brien

  • Tailor your resume: Highlight your 7+ years of data reporting and analytics experience, focusing on financial data, ETL, BI dashboards, and tools like SQL, Excel, Tableau, and SharePoint.
  • Showcase technical skills: Explicitly list your proficiency in Deltek Vantagepoint, JavaScript, Power Automate, SSMS, and SSRS. Quantify achievements where possible.
  • Demonstrate soft skills: Emphasize your ability to communicate complex data insights to non-technical stakeholders and manage multiple tasks independently.
  • Address the remote/office option: Mention your preference or suitability for either a remote or in-office work arrangement.
  • Prepare for technical and behavioral questions: Be ready to discuss your experience with data warehousing, financial modeling, and problem-solving.

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