Senior Data Analyst (BI)

As a Senior Data Analyst (BI), you will play a key role in preparing and organizing data to support the company’s Business Intelligence (BI) initiatives. Your primary responsibility will be ensuring that internal and external data sources are structured, reliable, and ready for analysis by the BI team.

You will focus on improving the integrity and usability of company data by identifying inconsistencies, building structured datasets, and integrating external public data sources into internal systems. Your analytical skills, attention to detail, and ability to understand the business model will help ensure that the BI team has accurate and well-prepared data to drive insights and decision-making. You will also be responsible for managing your workflow, tracking progress on data initiatives, and ensuring deliverables are completed on schedule.

Responsibilities:

Data Preparation and Integrity

• Prepare, clean, and structure datasets for use by the Business Intelligence team.
• Ensure data accuracy and integrity across internal systems and reporting processes.
• Identify and resolve inconsistencies or gaps in data used for reporting and analysis.
• Build and maintain structured datasets that support analytics and business reporting.

Data Integration and Development

• Identify and collect relevant data sources and integrate them into internal datasets.
• Help design and build new internal databases that improve data organization and accessibility.
• Work closely with the BI team to ensure datasets meet reporting and analytical requirements.

Workflow and Deadline Management:

• Track data preparation tasks and manage progress against project deadlines.
• Coordinate with the BI team to ensure datasets are delivered on schedule.
• Maintain clear documentation and communication around data readiness and project timelines.

Skills and Qualifications:

• Strong understanding of how business models translate into data and reporting structures.
• Advanced proficiency in Microsoft Excel and Google Sheets and data manipulation.
• Strong analytical skills with high attention to detail and data accuracy.
• Experience preparing and structuring data for analytics or BI reporting.
• Ability to work with multiple data sources and maintain organized datasets.
• Experience with data automation tools such as Knime is a strong plus.
• Experience working with database tools (SQL, data warehouses, or similar systems) is a bonus.
• Strong organizational skills with the ability to track workstreams and manage deadlines effectively.
• Good communication skills and ability to collaborate with technical and non-technical teams.
• Comfortable working remotely and maintaining communication within the team during regular working hours (9−5 pm EST) with some flexibility.