Overview

We are looking to bring on a strong, technical analyst to our Regulated Industries - Central Strategy Team who will be responsible for producing and maintaining the team's data infrastructure, conducting both ad-hoc and cyclical business analyses, and plugging in to support our stakeholder, Mark Sullivan wherever needed.

Core Traits

Technical Aptitude

• Comfortable working with large, complex datasets and translating raw data into actionable insights

• Proficient in querying and manipulating data using SQL. Able to write complex joins, subqueries, aggregations, and window functions

• Strong understanding of data modeling concepts and database structures

• AI Native - comfortable and proactive in usage + discovery of AI tools to streamline tools and processes wherever possible

Work Ethic & Drive

• Highly self-motivated with a strong sense of ownership over their work

• Comfortable managing multiple priorities and delivering under tight deadlines

• Detail-oriented - takes care to validate outputs and catch errors before presenting findings

• Proactive in identifying problems and proposing solutions without waiting to be asked

• Collaborative team player who also thrives working independently

Analytical & Strategic Thinking

• Able to frame ambiguous business questions into structured analytical problems

• Synthesizes quantitative findings into clear, compelling narratives for stakeholders

• Thinks beyond the numbers — connects data insights to broader sales strategy

• Comfortable forecasting, and scenario modeling

Data Analytics Experience

• Experience working in a data analytics platforms, namely Tableau and Snowflake

• Track record of building and maintaining dashboards and reports that stakeholders rely on

• Familiarity with sales metrics, Salesforce Systems, Org62 a plus

• Background in Python or R is a plus for more advanced statistical analysis

SQL Proficiency

• Able to independently write and optimize SQL queries across relational databases

• Comfortable working with normalized schemas and understanding data lineage

• Able to perform data cleaning, transformation, and validation using SQL

• Experience with version-controlled SQL scripts and query documentation best practices

Preferred Background

• 1-3+ years of experience in data analytics, strategy & operations, management consulting, or a related field

• Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Business Analytics) preferred

• Strong communication skills. Able to present findings clearly to both technical and non-technical audiences