Drive growth and profitability for the Home category through data-driven strategies at a leading financial platform in Colombia.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 2 days ago
Skills & Technologies
What you'll build
Must have
Nice to have
Requirements
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Category Manager at Addi focuses on driving profitability and growth for the Home category through data-driven strategies and cross-functional collaboration. Key skills include advanced data analysis using SQL and BI tools, alongside a strong understanding of market dynamics and pricing strategies. This role is suited for candidates with 5-7 years of experience in analytics or category management, particularly within e-commerce or retail environments. Addi's emphasis on a technology-first approach and its rapid growth in the financial sector highlight the potential for significant impact.
Joblaze insights
Quick facts
From the original posting
Drive hyper-growth and Profit and Loss statement (P&L) profitability for the Home category by executing data-driven commercial strategies, expanding high-converting catalog selections, and aligning merchant, marketing, and marketplace operations to increase Addi’s market share.
Establish a centralized category intelligence system by consolidating and analyzing existing reports/dashboards in SQL, Databricks, and Looker including elasticity models, traceable demand forecasts, and early anomaly detection mechanisms to continuously measure GMV, conversion, and take rate against business objectives and proactively prevent commercial drop-offs.
Optimize category pricing, catalog mix, and promotional performance by executing data-driven price/catalog adjustments informed by elasticity and competitive benchmarking, co-designing campaign measurement logic (pre/post incrementality) with Marketing, and analyzing partner inventory dynamics to prevent stockouts and protect GMV.
Drive cross-functional strategy execution and commercial negotiation strength by delivering comprehensive market and competitive analytics to support KAM/Sales teams in merchant negotiations, aligning category goals across Sales, Marketing, and Product, and translating complex data insights into clear, actionable recommendations for non-technical stakeholders.
Demonstrates deep senior analytical expertise and strategic business impact (MUST HAVE)
Brings 5–7 years of experience in business analytics, analytical category management, or revenue/pricing strategy within e-commerce, retail, or marketplace ecosystems.
Consistently converts complex data into concrete, actionable business strategy decisions rather than static, descriptive reporting.
Applies a strong commercial instinct to identify category levers that directly drive top-line growth and unit economics.
Possesses strong data proficiency and quantitative modeling rigor (MUST HAVE)
Executes and audits intermediate-to-advanced SQL queries (CTEs, multi-table joins, window functions) independently to build custom datasets and validate reporting logic.
Acts as an advanced user across modern BI and data platform tools (Databricks, BigQuery, Snowflake, or Looker) to extract actionable operational context.
Applies hands-on analytical modeling techniques—including price elasticity, demand forecasting, cohort analysis, and A/B test evaluation—to model business scenarios.
Track record of commercial acumen and merchant negotiation enablement (MUST HAVE)
Leverages direct exposure to commercial category dynamics (pricing models, supplier/seller negotiations, and promotional campaigns), preferably in Home, White Goods, or related categories.
Understands Key Account Management (KAM) mechanics and merchant economics, enabling them to build data packages that strengthen sales negotiations without managing direct execution.
Evaluates supplier inventory cycles and partner dynamics to protect revenue and maintain catalog health.
Proven capability in executive communication and data storytelling (MUST HAVE)
Synthesizes complex, multi-layered statistical analyses into concise, intuitive commercial recommendations for non-technical leadership.
Translates technical data findings into compelling business cases that align Sales, Marketing, and Product teams behind unified category goals.
Displays high clarity in written and verbal communication, adapting complex concepts seamlessly for diverse internal stakeholders.
Has solid expertise in market intelligence and consumer behavior analysis (PREFERRED)
Monitors industry shifts, competitor moves (e.g., Mercado Libre, Falabella), and regional market trends to identify untapped catalog opportunities.
Analyzes customer buying behavior and purchasing patterns to optimize product positioning and promotional timing in high-growth markets.
Work on a problem that truly matters – We are redefining how people shop, pay, and bank in Colombia, breaking down financial barriers and empowering millions. Your work will directly impact customers' lives by creating more accessible, seamless, and fair financial services.
Step 1: People Interview (30 min)
A conversation with a recruiter to get to know you, your experience, and what you're looking for. We’ll also share more about Addi, our culture, and the role.
Step 2: Initial Interview (45 min)
A more in-depth conversation with the hiring manager, where we explore your skills, experience, and problem-solving approach. We want to understand how you think and work.
Step 3: Business Case (60 minutes)
You may receive a real-world challenge or case study to complete. This is a chance to showcase your expertise and how you approach key problems relevant to the role.
Step 4: Co-Founder Interview
If there’s a strong match, you’ll have a final conversation with our Founder to align on expectations, cultural fit and ensure
Standard company text repeated across ADDI's postings is omitted here.