Sr. Data Analyst

Job Description

Job Description

Senior Data Analyst About the Role The Senior Data Analyst leverages deep expertise in statistical analysis, data modeling, data modernization, and semantic layers to partner with business operations and drive AI-enabled products and services. The senior analyst leads data efforts across strategic and tactical initiatives, collaborates cross-functionally with client-facing teams and internal leadership, translates strategic direction into actionable plans for junior staff, and drives complex problem-solving and decision-making.
Responsibilities Duties and Responsibilities include but are not limited to the following:

• 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.

• 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.

• 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