Role’s Mission

The Growth Manager B2B designs and executes high quality insights, strategies, projects and experiments that generate growth in accordance to company wide OKRs through in-depth analysis of complex business data across different company teams and functions.

Key responsibilities

• Identify, analyze, and interpret patterns and trends in complex data sets to generate insights and understanding of Aplazo’s products, users, merchants, channels, risk metrics, and more
• Design and implement experiments based on exploratory data analysis. Test hypothesis, track experiment results and report on findings. Make recommendations based on results
• Monitor, optimize, and report on multiple company metrics and make recommendations or directly implement strategies based on analytic findings
• Design and execute projects to drive insights that lead to company growth in accordance to OKRs
• Work closely with marketing, product, credit/risk, sales/AM, and operations to anticipate analytics needs and quantify the impact of existing and future initiatives, projects, processes, products or features
• Build analytic features and custom reports to analyze, track and provide insights on company OKRs or other relevant KPIs across teams and/or company wide
• Develop frameworks, models, tools, and processes to ensure that analytical insights can be incorporated into all key decision making
• Effectively present and communicate analysis to the company to drive business decisions
• Help automate Marketing insights and processes as well as help optimize communication channel

Requirements

Must have:

Experience: Work experience in analytics, finance, operations, strategy or other areas that require working with data, preferably on Tech companies.

Years of experience: 3 to 5 years of experience.

Technical skills:

• Advanced SQL
• Advanced Excel / Google Sheets
• Intermediate to advanced BI tools Knowledge, preferably Google Looker Studio
• Intermediate to advanced statistics
• Basic to intermediate understanding of data science models with business applications

Soft skills

• Data-Driven mind-set (is able to back up business actions on data, is able to think through ways to structure data that translate into high quality, actionable insights)
• Strategic Thinking: Ability to devise comprehensive growth strategies that align with company goals and market opportunities.
• Self learner (able to leverage any and all resources available to overcome challenges and close learning gaps)
• Cross-team collaboration (Is able to connect the dots across different teams and how the interactions of such teams combine to generate company growth)
• Curiosity (Tries new things and ways to look at and do things, keeps learning on ways to improve current activities)
• Attention to detail (Digs deep into business problems and opportunities without losing focus on the big picture)

Academic background (studies or certifications):

• Bachelor’s degree in a business or analytic field (marketing, business, finance, data science, etc.) or an engineering degree.
• In the absence of a bachelor’s degree or a degree in a different field, relevant work experience is necessary.

Nice to have:

• Knowledge on Python and/or R programming with business applications
• Business analytics or data science for business certification (diplomado)

Languages:

• Spanish
• English (Advanced)