Percepto specializes in autonomous inspection and monitoring solutions, utilizing robotics, including its own drone-in-a-box product line. In our company, you will find software and hardware engineers, industry experts, and professionals who are passionate about pushing the boundaries of what is possible with software, AI, and hardware.
Percepto is the most deployed drone in a box platform in the world and our product provides value to the biggest companies in the O&G, T&D and heavy industrial companies.
As a Senior Product Analyst, you will work within Percepto's Product department, which supports all companies departments by leading data projects and extracting, analyzing, and presenting data (from cloud systems, sensors, and various databases) that supports ongoing improvements of the company and the product.
What you'll do
Collaborate with cross-functional teams, including product managers, R&D, support, and commercial, to provide data-driven insights that facilitate prompt and accurate decision-making
Take ownership of the data strategy for critical product initiatives, guiding project lifecycles from conception to execution
Act as a subject matter expert, helping to define data best practices and standards for the team and company.
Direct and execute end-to-end data initiatives, tracking progress from disparate data sources through to the final dashboard or actionable insight, for both continuous and ad-hoc requirements
Develop insightful and user-friendly dashboards that effectively identify causal factors
Create automated reports to support team requirements
Perform customer analysis, encompassing behavior, trends, usage patterns, and other relevant metrics
Requirements
Minimum of 5 years of experience as a Product/Data Analyst
Proficiency in Python - Required
Proficiency in SQL - Required
Proficiency in ETL - Required
Proficiency in Redshift and AWS environment or equivalent - Required
Experience working with BI tools/dashboards
Knowledge of Amplitude or equivalent
Experience in leading, building and managing complex data projects across the organization with minimal supervision
Proven ability to multitask, manage multiple projects, and learn quickly.