β Featured

Jobot
Senior Analytics Engineer
This role is for a Senior Analytics Engineer in San Diego, CA, offering a salary of $120,000 - $150,000. Responsibilities include building data pipelines and dashboards, requiring 5+ years in e-commerce analytics, expertise in SQL, and proficiency in data visualization tools.
π Country
United States
ποΈ Location
On-site
π Contract
Full-time
πͺ Seniority
Mid-Senior level
π° Range
100K+
π± Currency
$ USD
πΈ Pay
$120K - $150K (Yr.)
ποΈ Discovered
September 16, 2025
π Location detailed
San Diego, CA
recX3RzINShld1Qfh
π§ Skills
#Inventory Management #Demand Forecasting #Warehouse Management Systems
Role description
Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
Job details
Senior Analytics Engineer opportunity available with growing e-commerce agency! (San Diego, CA) - send your resume to marcus.curiel@jobot.com
This Jobot Job is hosted by Marcus Curiel
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary $120,000 - $150,000 per year
A Bit About Us
We are a high-growth, data-driven eCommerce partner specializing in helping brands succeed on the worldβs largest online marketplaces. Our team of strategists, analysts, and creatives work together to drive measurable performance across advertising, operations, logistics, and content. By combining deep industry knowledge with advanced analytics and proprietary tools, we help our partners unlock sustainable growth and protect their brand equity in an ever-evolving digital landscape.
Headquartered in Southern California, our company supports a diverse portfolio of category-leading brands and is powered by a passionate team dedicated to innovation, transparency, and results.
We are growing and looking for a Senior Analytics Engineer to join our team!
Why join us?
β’ Multiple medical plan options t
β’ Dental & vision insurance (including orthodontia and annual exams)
β’ Pet benefit program with savings on vet care, products, and services
β’ Paid vacation (accruing up to 120+ hours/year with rollover and cap)
β’ Paid holidays annually
β’ Coverage for spouses/domestic partners and dependents under 26
β’ Benefits begin on the first of the month after your hire date
Job Details
What you will do as a Data Analytics Engineer is
Build & Optimize β Design, develop, and manage advanced data pipelines for inventory tracking, financial reporting, and marketplace performance analytics for internal and client use.
π Drive eCommerce Intelligence β Transform complex inventory data, advertising spend, and sales performance metrics into actionable insights that optimize stock levels, improve margins, and maximize ROI.
π° Financial Data Mastery β Build comprehensive financial dashboards, interactive reports, and executive visualizations tracking COGS, profit margins, advertising efficiency (ACOS/TACOS), inventory turns, and Amazon selling metrics..
π¦ Inventory Analytics Leadership β Develop sophisticated models, visualizations, and automated reports for demand forecasting, reorder point optimization, and trend analysis to prevent stockouts and overstock situations.
π Champion eCommerce Data Governance β Develop and uphold data standards specifically for SKU management, financial reconciliation, and marketplace data integrity across the organization.
π€ Mentor & Collaborate β Guide junior team members on ecommerce analytics best practices and foster a high-performing, collaborative environment.
π‘ Innovate & Communicate β Identify process improvements in inventory management and financial reporting workflows, stay current on ecommerce industry trends, and clearly present complex financial and operational concepts to all audiences.
What We're Looking For
π Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field (or equivalent experience) with 5+ years specifically in ecommerce analytics/data engineering with inventory and financial data focus.
π eCommerce Data Expertise β Proven experience working with marketplace data, inventory management systems, ERP integrations, and financial reporting platforms. Deep understanding of ecommerce KPIs, unit economics, and inventory metrics. Strong background in creating client-facing dashboards and executive reporting.
π° Financial Analytics Background β Strong experience with COGS tracking, margin optimization, advertising spend analysis, and financial reconciliation processes. Familiarity with accounting principles and financial statement analysis. Proven ability to translate financial data into clear visualizations and actionable reports.
π¦ Inventory Management Systems β Hands-on experience with inventory planning software, demand forecasting tools, warehouse management systems (WMS), and supply chain analytics. Understanding of inventory accounting methods and valuation. Experience building automated inventory reports and performance dashboards.
π¨ Visualization & Reporting Expertise β Strong proficiency in data visualization tools (Tableau, Power BI, Looker, or similar) with experience creating compelling dashboards, automated reports, and executive presentations that drive business decisions.
π Technical Mastery β Expert in SQL and Python (or similar languages) for building scalable, efficient data solutions specifically for ecommerce and financial data pipelines.
β‘ dbt + BigQuery Expertise β Proven experience using dbt for transformations and deploying solutions on Google BigQuery or similar ( AWS or Azure).
ποΈ Data Engineering Skills β Strong knowledge of data modeling, warehousing concepts, and ETL/ELT pipelines with specific experience in ecommerce data schemas, marketplace APIs, and financial data integration.
π§Familiar with Git, version control, and Agile methodologies.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Want to learn more about this role and Jobot?
Click our Jobot logo and follow our LinkedIn page!
Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!
Job details
Senior Analytics Engineer opportunity available with growing e-commerce agency! (San Diego, CA) - send your resume to marcus.curiel@jobot.com
This Jobot Job is hosted by Marcus Curiel
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary $120,000 - $150,000 per year
A Bit About Us
We are a high-growth, data-driven eCommerce partner specializing in helping brands succeed on the worldβs largest online marketplaces. Our team of strategists, analysts, and creatives work together to drive measurable performance across advertising, operations, logistics, and content. By combining deep industry knowledge with advanced analytics and proprietary tools, we help our partners unlock sustainable growth and protect their brand equity in an ever-evolving digital landscape.
Headquartered in Southern California, our company supports a diverse portfolio of category-leading brands and is powered by a passionate team dedicated to innovation, transparency, and results.
We are growing and looking for a Senior Analytics Engineer to join our team!
Why join us?
β’ Multiple medical plan options t
β’ Dental & vision insurance (including orthodontia and annual exams)
β’ Pet benefit program with savings on vet care, products, and services
β’ Paid vacation (accruing up to 120+ hours/year with rollover and cap)
β’ Paid holidays annually
β’ Coverage for spouses/domestic partners and dependents under 26
β’ Benefits begin on the first of the month after your hire date
Job Details
What you will do as a Data Analytics Engineer is
Build & Optimize β Design, develop, and manage advanced data pipelines for inventory tracking, financial reporting, and marketplace performance analytics for internal and client use.
π Drive eCommerce Intelligence β Transform complex inventory data, advertising spend, and sales performance metrics into actionable insights that optimize stock levels, improve margins, and maximize ROI.
π° Financial Data Mastery β Build comprehensive financial dashboards, interactive reports, and executive visualizations tracking COGS, profit margins, advertising efficiency (ACOS/TACOS), inventory turns, and Amazon selling metrics..
π¦ Inventory Analytics Leadership β Develop sophisticated models, visualizations, and automated reports for demand forecasting, reorder point optimization, and trend analysis to prevent stockouts and overstock situations.
π Champion eCommerce Data Governance β Develop and uphold data standards specifically for SKU management, financial reconciliation, and marketplace data integrity across the organization.
π€ Mentor & Collaborate β Guide junior team members on ecommerce analytics best practices and foster a high-performing, collaborative environment.
π‘ Innovate & Communicate β Identify process improvements in inventory management and financial reporting workflows, stay current on ecommerce industry trends, and clearly present complex financial and operational concepts to all audiences.
What We're Looking For
π Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field (or equivalent experience) with 5+ years specifically in ecommerce analytics/data engineering with inventory and financial data focus.
π eCommerce Data Expertise β Proven experience working with marketplace data, inventory management systems, ERP integrations, and financial reporting platforms. Deep understanding of ecommerce KPIs, unit economics, and inventory metrics. Strong background in creating client-facing dashboards and executive reporting.
π° Financial Analytics Background β Strong experience with COGS tracking, margin optimization, advertising spend analysis, and financial reconciliation processes. Familiarity with accounting principles and financial statement analysis. Proven ability to translate financial data into clear visualizations and actionable reports.
π¦ Inventory Management Systems β Hands-on experience with inventory planning software, demand forecasting tools, warehouse management systems (WMS), and supply chain analytics. Understanding of inventory accounting methods and valuation. Experience building automated inventory reports and performance dashboards.
π¨ Visualization & Reporting Expertise β Strong proficiency in data visualization tools (Tableau, Power BI, Looker, or similar) with experience creating compelling dashboards, automated reports, and executive presentations that drive business decisions.
π Technical Mastery β Expert in SQL and Python (or similar languages) for building scalable, efficient data solutions specifically for ecommerce and financial data pipelines.
β‘ dbt + BigQuery Expertise β Proven experience using dbt for transformations and deploying solutions on Google BigQuery or similar ( AWS or Azure).
ποΈ Data Engineering Skills β Strong knowledge of data modeling, warehousing concepts, and ETL/ELT pipelines with specific experience in ecommerce data schemas, marketplace APIs, and financial data integration.
π§Familiar with Git, version control, and Agile methodologies.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Want to learn more about this role and Jobot?
Click our Jobot logo and follow our LinkedIn page!