Senior Data Analyst
About the Role
The Senior Data Analyst leverages deep expertise in statistical analysis, data modeling, and visualization to partner with
business operations and drive data-driven insights. The senior analyst leads data efforts across strategic and tactical
initiatives, translates strategic direction into actionable plans for junior staff, and drives problem-solving and
decision-making for leaders. Additionally, this role leads our data modernization efforts, creating a scalable foundation
using medallion data architecture and building AI-ready semantic layers within the AWS Snowflake environment.
Responsibilities
Duties and Responsibilities include but are not limited to the following:
● Aggregate, clean, and structure large datasets (millions of records) 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.
● Create and maintain semantic layers within the AWS Snowflake ecosystem designed to seamlessly integrate
with AI/ML tools and emerging technologies.
● Serve as a thought leader 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.
● Lead the operation and ongoing enhancement of the company's 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.
● Support customer data use cases by leveraging BI tools to deliver actionable insights.
● Drive competitive market and product analysis through review of related products, market trends, and
emerging AI/ML technologies.
● Assist the Director of Product and executive leadership in identifying, developing, and bringing to market new
data-centric products.
● Present best practices and enhance internal processes relating to the data function.
● Perform daily duties in line with Information Security Policies and Procedures.
● Ensure that information Confidentiality, Integrity and Privacy is always maintained with processing information
assets.
Qualifications and Required Skills
● Master’s 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 a team of junior data analysts in a
player/coach model.
● Exceptional verbal and written communication skills with the ability to translate complex data concepts for
non-technical stakeholders and executive leadership.
● High detail orientation with an analytical mindset and methodical problem-solving approach.
What Will Make You Stand Out
● Practical experience driving data modernization, including building medallion data architectures
(specifically gold layer data objects).
● Demonstrated experience building semantic layers to enable AI tools, LLMs, or vector database
applications.
● 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
