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WHO WE ARE AT BASH
We are a team of leaders, bold thinkers and friends, and we’re on a mission to create remarkable omni-channel experiences for our customers.
We believe that by being Bold, Accountable, Simple and Human, our values will lead us forward, keeping us real, connected and directed.
By leveraging the power of technology and exceptional talent, we are building products that bring the physical and digital world together to create communities that prosper. This journey requires grit, ambition and teamwork as we transform SA retail for the better.
And we’re only just getting started. Now is the time to jump onboard.
Overview:
At Bash, we’re reimagining retail at scale. You’ll lead and collaborate optimising revenue and profitability across our e-commerce and marketplace operations. If you’re the type who loves solving complex problems, thrives in fast-paced environments, and wants to impact decisions across inventory, pricing, and retail planning—this is the role for you.
Your Mission:
To develop and execute machine learning and mathematical models that optimise pricing, promotions, profitability, and inventory management at Bash. You’ll collaborate with our retail, data, and supply chain teams, integrating operational insights and building algorithms that balance customer experience with profitability.
WHAT YOU’LL DO
- Develop Optimization Models: Lead the creation of dynamic pricing, promotion, and revenue optimization models using advanced statistical and mathematical techniques to ensure competitiveness while maximizing profitability.
- Revenue & Profit Analysis: Utilize testing methodologies and analytical approaches to assess the impact of pricing strategies on revenue, margins, and customer lifetime value.
- Drive Strategic Insights: Leverage data analysis and optimization techniques to provide actionable insights that will shape retail buying and planning processes.
- Trend and Data Analysis: Analyze and interpret sales, customer, and market data to provide insights that drive retail strategy. Monitor the effectiveness of strategies and campaigns, suggesting adjustments to improve sales and profitability.
- Forecasting: Assist in forecasting sales, demand, and product performance based on historical data and market conditions to inform inventory and purchasing decisions.
- Assortment Optimization: Examine customer behavior and buying trends to identify opportunities for refining product assortment, ensuring alignment with market demand and maximizing sales potential. Prioritize category expansion strategies for maximum return.
- Basket Size Optimization: Identify and implement cross-selling strategies to enhance order value, purchase frequency, and overall profitability by leveraging customer insights and purchasing patterns.
- Collaborate Across Teams: Partner closely with retail, supply chain, and data teams to ensure that algorithms and strategies align with business goals like margin growth and inventory efficiency.
WHO YOU ARE:
This job is for you if you have:
- Mathematically Proficient: You have strong expertise in statistical analysis and optimization, with a deep understanding of pricing elasticity and revenue optimization.
- Analytical Thinker: You thrive on deep data analysis, using quantitative methods to drive insights and make data-backed decisions.
- Problem Solver: Skilled in optimization techniques like linear programming and stochastic modeling, you know how to turn complex business problems into scalable solutions.
- Collaborative Leader: You're excited to work cross-functionally, bringing together teams from engineering, retail, and supply chain to create impactful, data-driven pricing strategies.
- Strategic Visionary: You understand the broader market dynamics and can develop strategies that balance customer experience with profitability.
What you will need
- Experience: 5+ years in data science, analytics, operations research, or related roles.
- Qualification: Bachelor’s or Master’s degree in Operations Research, Statistics, Applied Mathematics, or a related field. Ph.D. preferred.
- Expertise in Pricing Strategies: Experience with testing methodologies, revenue optimization, or pricing strategies in a commercial setting.
- Advanced Modeling Skills: Proven ability to build and deploy statistical models in production environments.
- Data Handling Abilities: Strong skills in data analysis, working with large datasets, and translating data into actionable insights.
- Industry Knowledge: Experience in retail, e-commerce, or supply chain is a bonus, bringing valuable context to the role.
JOINING THE BASH TEAM
Working remotely has its benefits and we play to them with our flexible, digital working model. We empower our people to choose where they would like to do their best work, with the tools they need to get there but we also encourage our teams to travel so we can also make magic happen face to face. Our offices are a vibe, which doesn’t hurt. They are decked out to make collaboration easy and help our team create lasting connections with each other. We bring teams together for planning, celebration, ideation and onboarding, and more.
BASH PERKS
Our perks are supercharged by our intangible benefits, like the optionality that comes with building a hyper growth business, being surrounded by the best talent in the biz and building great products that wow our customers and drive growth for our country.
Best of the Best- The wealth of talent we have will surprise + inspire you
Security within a startup- The best of both worlds. TFG's buy-in lets us invest in the people and initiatives we believe in.
Agency and Optionality- Use the ambition and collective force of our talent to drive your career in the direction you dream.
Connection and Friendship- We make sure you connect, laugh and have fun with the team. Play hard, work hard vibes.
Top $$ The best people, in the right roles, earning at the top tier.
Your Time- We’ve got generous paid holiday, wellbeing leave and even Birthday leave for you to enjoy when you need it.
Exclusive Shopping Discount- Save when you shop across over 500 brands in-store and on bash.com.
