Commercial Data Analyst

Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Azure, and Python.

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with product.

Help architect and develop our reporting database, using data warehousing / ETL concepts to build new fields and tables, improve query efficiency, QA changes, troubleshoot problems, and scale our data warehouse.

Be a thought leader within the organization on performance measurement - work with teams to ensure they are measuring their business / function optimally.

Develop and maintain data-driven reporting and dashboards.

Partner with Sales and Marketing teams to help solve problems and identify trends and opportunities.

Identify relevant data, analyze, and interpret trends or patterns in complex data sets.

Read and follow the Underwriters Laboratories Code of Conduct and follow all physical and digital security practices.

Manage the implementation of small to medium projects by identifying and interviewing stakeholders to gather business requirements, work with IT and others to deliver solutions meeting the needs of the business.

Develop and maintain data modelling, including forecasting-and statistical modelling for pipeline, conversion, and order performance

Profile and analyze data in designing scalable solutions that facilitate data-driven analysis, automation, and data science.

Interview process owners / Subject Matter Experts (SME's) to gather business process details. Collaborate with business stakeholders to conduct current state process assessments.

Propose process improvements to process owners and Subject Matter experts, prior to designing automation solutions.

Proactively, identify processes that are suitable for automation, and provide recommendations to reengineer processes to improve automation potential.

Participate in the prioritization of automation projects, enhancements requests and ad-hoc requests. Proactively identify risks and dependencies within Automation process and delivery and effectively manage these cross functionally.

Demonstrated proficiency in Python and ETL development, with a strong preference for candidates experienced in Snowflake.

AHelp architect and develop our reporting data model , using data warehousing / ETL concepts to build new fields and tables, improve query efficiency, QA changes, troubleshoot problems, and scale our data model.

Be a thought leader within the organization on performance measurement - work with teams to ensure they are measuring their business / function optimally – influence stakeholders and excute in meet deliverable due dates.

Apply critical thinking when reviewing new and existing requests and data models with the drive to get buy-in and execute on enhancements.

Partner with Sales and Commercial Operations teams to help solve problems and identify trends and opportunities.

Identify relevant data, analyze, and interpret trends or patterns in complex data sets.

Performs other duties as directed.

Read and follow the Underwriters Laboratories Code of Conduct, and follow all physical and digital security practices.

Build and deploy AI-enabled agents and automation to streamline analytics and business workflows

Identify and prioritize high-impact automation opportunities; redesign processes for scalability

Analyze large datasets to identify trends, risks, and growth opportunities

University Degree (Equivalent to Bachelors degree) in computer science, statistics, mathematics, information systems, engineering or a related disciplines plus generally 3 years experience in data operations with hands-on analytics development experience.

Strong communication, presentation, and leadership skills.

Hands-on analytics experience, with demonstrated track record of manipulating large, complex data sets.

Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and services.

Proven comfort and an intellectual curiosity for working with very large sets of data, pulling in relevant team members to address identified, and sometimes undiscovered, needs.

Experience in SQL, Python/R, and Excel. Experience in PowerBI, Tableau or other relevant tools.

Ability to make trade-offs between effort and return and automate tasks when appropriate.

Strong analytical skills and comfort breaking down and attacking open ended problems.

Team player that can collaborate and communicate with people across all levels and functions.