[Hiring] Senior Data Analyst @Beacon Data

Role Description

Beacon Data is seeking a Senior Data Analyst to join our data team and support high-impact analytics and business intelligence work for our clients. This is a senior, hands-on analytics role focused on transforming complex data into trusted insights, scalable reporting, and clear recommendations for decision-makers.

• Work closely with Beacon project leads, data architects, and client stakeholders to shape analytics requirements.
• Build robust data models and deliver insights that directly inform strategy and operations.

Qualifications

• 3+ years of experience in data analytics, business intelligence, or related roles
• Advanced proficiency in SQL for analysis and analytics data modeling
• Experience building dashboards and reports in BI tools such as Power BI, Tableau, or similar
• Experience working with modern data transformation or orchestration tools (e.g., dbt, ADF, SSIS, Airflow)
• Working knowledge of Python for data analysis, automation, or advanced analytics tasks
• Experience operating within cloud data environments (AWS or Azure; Snowflake preferred)
• Strong analytical thinking and problem-solving skills
• Eligibility to work in the United States

Requirements

• Experience mentoring or guiding junior analysts
• Strong understanding of relational database principles and data modeling
• Experience working with CRM, ERP, marketing, or operational systems
• Comfort working with structured and semi-structured data sources
• Client-facing experience, including presenting insights to non-technical audiences
• Exceptional written and verbal communication skills
• High attention to detail and commitment to high-quality analytics outputs

Benefits

• Lead the development of analytics-ready datasets and metrics that serve as a single source of truth
• Analyze data from ERP, CRM, and other operational systems to answer complex business questions
• Write and maintain production-quality SQL to transform, validate, and analyze data
• Build and maintain dashboards and reports in BI tools that support executive and operational decision-making
• Partner with business stakeholders to translate questions and hypotheses into structured analyses
• Identify trends, patterns, and anomalies in data and communicate insights clearly
• Support and collaborate on data pipeline and transformation work alongside data engineers and analytics engineers
• Ensure data accuracy, consistency, documentation, and adherence to security best practices