Data Analyst

Traverse Technology Services

Key Responsibilities:

• Collect, clean, and validate data from multiple sources (databases, spreadsheets, APIs, etc.) to ensure accuracy and consistency.

• Analyze business data using statistical techniques and interpret results to identify trends, correlations, and key performance indicators (KPIs).

• Develop and maintain dashboards and reports using tools such as Power BI, Tableau, or Excel.

• Partner with cross-functional teams (Finance, Operations, Sales, Marketing) to understand data needs and deliver insights that support decision-making.

• Automate recurring data processes and streamline reporting workflows for efficiency.

• Conduct ad-hoc analyses to support strategic initiatives and operational improvements.

• Present analytical findings in clear, visual, and actionable formats for both technical and non-technical stakeholders.

• Support data governance, ensuring data integrity, accuracy, and compliance with organizational policies.

Qualifications & Skills:

Experience:

• 2 5 years of experience as a Data Analyst, Business Analyst, or similar analytical role.

• Proven experience working with data visualization and analytics tools (e.g., Power BI, Tableau, Looker).

• Strong proficiency in Excel (advanced formulas, pivot tables, Power Query).

• Knowledge of SQL for data extraction and manipulation.

• Experience with Python or R for data analysis is an added advantage.

• Exposure to ERP or PMS systems (e.g., Oracle, SAP, Opera) is desirable for hospitality/finance roles.

Skills:

• Strong analytical, quantitative, and problem-solving skills.

• Excellent attention to detail and accuracy.

• Strong communication skills with the ability to translate complex data into meaningful insights.

• Ability to manage multiple priorities and meet deadlines in a fast-paced environment.

Key Performance Indicators (KPIs):

• Timeliness and accuracy of reports and dashboards.

• Improvement in business process efficiency through data insights.

• User adoption and satisfaction with analytical tools and reports.

• Contribution to data quality and governance initiatives.

Preferred Tools & Technologies:

• Power BI / Tableau / Google Data Studio

• SQL, Excel, Power Query

• Python / R (for advanced analytics)

• Microsoft Power Automate / SharePoint (for workflow automation)

• ERP / PMS Systems (if applicable to hospitality/finance context)