Sr. Data Analyst

About the Role

Responsibilities

• Aggregate, sanitize, and structure large datasets for high-impact analytics initiatives.
• Execute data modernization strategies, designing, developing, and maintaining scalable data models and medallion data architecture—with an emphasis on building robust gold layer data objects.
• Collaborates on the design, building, and maintenance of semantic layers, dynamic tables, and vector embeddings within the AWS Snowflake ecosystem to seamlessly power AI tools, LLMs, and intelligent agents.
• Provide expertise and influence decisions in database systems, data warehousing, and ETL processes, leveraging tools across AWS and Snowflake.
• Write, read, and optimize complex SQL queries, Python scripts, and query languages for data processing and analysis.
• Uncover trends and patterns to address critical business needs, such as operational efficiency and customer engagement.
• Support the operation and ongoing enhancement of the Forth BI platform, including the design and development of data models, dashboards, and widgets.
• Lead junior analysts in performing analyses, providing team leadership, and summarizing insights for executives, managers, clients, and cross-functional teams.
• Partner closely with client-facing, sales, and customer success teams to understand complex end-user requirements and deliver actionable insights or custom data solutions.
• Assist the Director of Data Management and Analytics and executive leadership in identifying, developing, and bringing to market new data-centric products.
• Drive competitive market and product analysis through review of related products, market trends, and emerging AI/LLM technologies.
• Present best practices and enhance internal processes relating to the data function.
• Perform daily duties in line with Forth, LLC Information Security Policies and Procedures.
• Ensure that information Confidentiality, Integrity and Privacy is always maintained with processing information assets.

Qualifications and Required Skills

• Degree in Data Science, Data Analytics, Applied Mathematics, Computer Science, Statistics, or equivalent experience (Bachelor's + relevant work experience).
• Proven technical experience in data modeling, building BI applications, and analyzing large-scale enterprise datasets.
• Hands-on proficiency with SQL and Python for data querying, manipulation, and script writing.
• Strong technical and personal leadership skills to mentor, guide, and develop junior data analysts in a player/coach model.
• Exceptional cross-functional collaboration skills, particularly with client-facing teams, sales, product, and software engineering, alongside strong communication skills to translate complex AI and data concepts for non-technical stakeholders.
• High detail orientation with an analytical mindset and methodical problem-solving approach.

What Will Make You Stand Out

• Practical experience with data modernization, including building medallion data architectures (specifically gold layer data objects) and semantic/context layers.
• Deep hands-on experience within the AWS Snowflake product offering and modern data stack.
• Snowflake SnowPro or equivalent AWS/cloud data certifications.
• Prior leadership experience in a B2B or enterprise data environment.
• Experience assisting with the build and go-to-market strategy of commercial data products