Daasity · 1 month ago
CPG Retail Analytics Analyst - Remote
United States
Full-time
Remote
Mid, Senior Level
$75K/yr - $125K/yr
3+ years expDaasity is a company focused on providing strategic data solutions for direct-to-consumer e-commerce businesses. They are seeking a CPG Retail Analytics Analyst to support clients by building dashboards, enhancing retail data models, and collaborating with internal teams to deliver insights from complex datasets.
AnalyticsData IntegrationData VisualizationE-Commerce
Responsibilities
Transform, interpret, and analyze data from SPINS, Nielsen, Walmart Luminate, Target, Kroger, and other retail partners
Build KPI frameworks and dashboards covering Distribution, Velocity, ARP, Promo Lift, Incremental Volume, Pricing, and Category Benchmarks
Conduct weekly/monthly business reviews for clients using Daasity dashboards and Snowflake datasets
Develop and optimize SQL queries within Snowflake to merge syndicated, retail POS, and DTC datasets into unified models
Support development of Daasity’s CPG data schemas and metric definitions (e.g., Baseline vs. Promo, Incremental $, TPx ROI)
Collaborate with Engineering to validate retailer data pipelines and troubleshoot load or transformation issues
Partner with Customer Success, Product, and the MCP/AI team to ensure insights and metrics are standardized and accurate
Translate complex data concepts into simple narratives and business recommendations for VP-level stakeholders (Sales, Marketing, Finance)
Assist in onboarding new CPG clients, mapping retailer hierarchies, and validating syndicated data feeds
Analyze promotional effectiveness, price elasticity indicators, seasonality, and cannibalization/halo effects
Build or support lift models, promo calendars, baseline forecasting, and contribution margin analytics
Qualification
Required
Deep experience working with retailer and syndicated data sources such as SPINS, NielsenIQ, Circana, Walmart Luminate, Target Partners Online, and Kroger Precision Marketing
Strong technical data skills, particularly in Snowflake
Advanced SQL skills
Data modeling for retail + omni-channel datasets
Understanding of retailer hierarchies, distribution, velocity, promo/lift, pricing, and trade performance analytics
Transform, interpret, and analyze data from SPINS, Nielsen, Walmart Luminate, Target, Kroger, and other retail partners
Build KPI frameworks and dashboards covering Distribution, Velocity, ARP, Promo Lift, Incremental Volume, Pricing, and Category Benchmarks
Conduct weekly/monthly business reviews for clients using Daasity dashboards and Snowflake datasets
Develop and optimize SQL queries within Snowflake to merge syndicated, retail POS, and DTC datasets into unified models
Support development of Daasity's CPG data schemas and metric definitions (e.g., Baseline vs. Promo, Incremental $, TPx ROI)
Collaborate with Engineering to validate retailer data pipelines and troubleshoot load or transformation issues
Partner with Customer Success, Product, and the MCP/AI team to ensure insights and metrics are standardized and accurate
Translate complex data concepts into simple narratives and business recommendations for VP-level stakeholders (Sales, Marketing, Finance)
Assist in onboarding new CPG clients, mapping retailer hierarchies, and validating syndicated data feeds
Analyze promotional effectiveness, price elasticity indicators, seasonality, and cannibalization/halo effects
Build or support lift models, promo calendars, baseline forecasting, and contribution margin analytics
3–5+ years in CPG/Retail analytics at a brand, distributor, agency, or syndicated provider
Strong understanding of syndicated datasets (SPINS, NielsenIQ, Circana) including hierarchies, UPC-level attributes, category/segment rollups, and distribution/velocity frameworks
Experience with retailer POS / portal data (Walmart, Target, Amazon, Kroger, etc.)
Ability to simplify complex data stories for non-technical stakeholders
Comfortable interfacing with clients and presenting data-driven recommendations
Strong problem-solving and analytical mindset
Highly organized, detail-oriented, and proactive
Preferred
Experience with BI tools (Looker, Tableau, Power BI)
Familiarity with Python (for modeling or MCP integration)
Understanding of Trade Promotion Management (TPM), pricing, promotional lift, and incremental ROI
Experience working with AI-driven analytics tools or metric compute platforms (MCP)
Prior experience working at a SaaS analytics company or CPG insights agency
Knowledge of eCommerce analytics (Shopify, Amazon Seller/Vendor Central)
Understanding of SQL-driven metric layers (YAML, metadata frameworks, LookML concepts)
Benefits
Remote-first organization
Competitive compensation
Generous time off policy, including paid parental leave
Competitive medical coverage for you and your dependents
Growth potential company-wide
Collaborative, transparent, and fun-loving work environment
Company
Daasity
Daasity enables Consumer Product Brands to make better data-driven decisions, leading to faster and more profitable growth.
51-200 employees
H1B Sponsorship
Daasity has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (3)
2020 (2)
Funding
Current Stage
Growth StageTotal Funding
$20.7MKey Investors
VMG PartnersOkapi Venture Capital
2022-01-14Series A· $15M
2021-03-26Seed· $3.4M
2019-11-06Seed· $2.3M
Leadership Team
J
Joe Rzepiejewski
CTO
Dan LeBlanc
Analytics & Data Model Guru
Recent News
San Diego Business Journal
2024-03-28
2024-01-19
Company data provided by crunchbase