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.
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
Pay Range and Compensation Package
- $110,000-$130,000
- Full-time, benefits-eligible
- 401K, medical, dental, vision, PTO, holidays, flexible work arrangements, professional development opportunities, etc.
In-Office Requirements
- This role requires a minimum of 2 days per week in the office.
Reports to
- Director of Data Management and Analytics
Location