Business Data Analyst

Role Overview

The Business/Data Analyst is responsible for enabling data-informed decision making across the organization by ensuring data is accurate, accessible, and structured to support operational and strategic needs. The role combines analytical expertise with cross-functional collaboration to improve reporting, streamline workflows, and enhance data reliability.

This is a highly independent role reporting directly to the CEO, focused on owning monthly reporting cycles, supporting forecasting, and proactively identifying opportunities to improve business performance through data-driven insights. The position plays a key role in identifying opportunities to improve data processes, define business metrics, and support the evolution of scalable analytics practices.

Key Responsibilities

Data Analysis & Insights

• Collect, analyze, and interpret datasets to identify trends, patterns, and actionable insights
• Translate business questions into analytical approaches that support decision-making
• Define and maintain key business metrics and ensure consistency in reporting logic
• Perform ad-hoc analysis to support business initiatives and operational needs
• Provide structured insights to support both strategic and day-to-day decision-making
• Support forecasting and forward-looking data analysis
• Proactively identify opportunities to improve business performance

Reporting & Visualization

• Design, develop, and maintain dashboards and reports
• Own and manage the monthly reporting cycle
• Deliver external stakeholder reports with strict deadlines
• Ensure reports are accurate, timely, and aligned with business definitions
• Maintain consistency across reporting outputs
• Support stakeholders in understanding and using data effectively
• Structure and manipulate datasets to support reporting requirements

Data Quality & Governance

• Perform data validation and quality checks
• Identify inconsistencies in data definitions and sources
• Support development of consistent data structures
• Document reporting logic and data sources
• Promote single source of truth across the organization
• Support evolving data environment and long-term data strategy

Process Improvement & Automation

• Identify manual processes for automation
• Improve workflows and reporting efficiency
• Support scalability of reporting processes
• Document processes for continuity
• Proactively recommend improvements to analytics workflows

Collaboration & Stakeholder Support

• Work cross-functionally across business teams
• Partner with leadership team to gather requirements
• Support operational and strategic initiatives
• Communicate insights to technical and non-technical stakeholders
• Work directly with senior leadership including CEO

Data Infrastructure & Continuous Improvement

• Contribute to data structure and architecture discussions
• Improve data accessibility and availability
• Support long-term data maturity initiatives
• Improve reporting capability across business
• Support customer reporting enhancements

Requirements

Technical Skills (Must Have)

• Advanced Microsoft Excel skills
• Pivot Tables
• XLOOKUP / VLOOKUP
• INDEX MATCH
• Large dataset handling
• Data cleaning and structuring
• Strong reporting and analytics experience
• Experience working with large datasets
• Data validation and troubleshooting skills
• Understanding of reporting logic and data structures

Preferred / Nice to Have

• Experience with Qlik (Qlik Sense / QlikView)
• Power BI / Tableau experience
• SQL experience (nice to have)
• Experience in reporting automation
• Data modeling exposure
• Experience in evolving data environments

Ideal Candidate Profile

• Strong technical reporting skills
• Independent and self-directed
• Comfortable working with senior leadership
• Proactive problem solver
• Strong communication skills
• Experience working cross-functionally
• Comfortable working remotely