Data Analyst, Business Intelligence

This is a fully remote position, open to applicants in United States.

📋 Description

• Provide reporting and data analysis that informs daily decisions in sales, marketing, and operations.

• Collaborate directly with stakeholders to comprehend their requirements and convert them into precise reporting and analysis specifications.

• Create, develop, and sustain Power BI reports and dashboards, including data models, DAX calculations, and necessary row-level security.

• Manage a collection of recurring reports, encompassing their development, maintenance, troubleshooting, and updates as business demands evolve.

• Write and optimize SQL queries against the data warehouse for reporting, ad hoc analysis, and data validation purposes.

• Gain a functional understanding of the data warehouse's structure and relationships to navigate it independently and identify inconsistencies.

• Collaborate with data team members to communicate reporting specifications and ensure that report and dashboard data is accurate and comprehensive.

• Narrate compelling stories about business performance and trends through data visualization.

• Address ad hoc reporting requests with precise and prompt responses.

• Assist stakeholders and other data/report users throughout the organization.

⛳️ Requirements

• 2–5 years of professional experience in data analysis, reporting, or business intelligence.

• Bachelor's degree in a relevant field or equivalent professional experience.

• Proven expertise in Power BI, including data modeling, DAX, and report/dashboard creation.

• Strong proficiency in SQL with relational databases (SQL Server, MySQL, Oracle, Postgres), including the ability to write queries for data analysis and validation.

• Demonstrated capacity to understand and navigate an existing data environment, reverse engineering data patterns and structures to identify relationships and inconsistencies.

• Familiarity with how data flows through a reporting pipeline.

• Basic understanding of advanced analytics concepts, including statistical or AI-based techniques and their appropriate applications.

• Effective written and verbal communication skills, particularly in conveying data and reporting to non-technical stakeholders.

• Exceptional organizational and documentation abilities, with a keen attention to detail.

• Ability to independently manage multiple reports/dashboards and prioritize competing requests.

• Hands-on experience in building or maintaining ETL/ELT pipelines is preferred.

• Experience with advanced statistics, information science, or machine learning is preferred.

• Basic understanding of Master Data Management techniques and tools is preferred.

• Familiarity with metadata standards and procedures in the publishing industry is preferred.

• Experience with ERP tools and processes is preferred.

• Background in project management and the implementation of best practices is preferred.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Competitive retirement plan options with company matching.

• Flexible work hours and remote work opportunities.

• Professional development and training programs.

• Generous paid time off and holiday schedule.