1.0 About Aplazo
Aplazo is a "buy now pay later" service based in Mexico that allows consumers to live their ideal lifestyle, making it easier to acquire the products they want. Through our platform, consumers can split their online and offline purchases into multiple installments without needing a credit card and avoiding the debt trap. Recently Aplazo has received Series A funding of $27 Million USD, and its team is growing in each vertical.
We are setting out to make an impact on an epic scale. Aplazo enables merchants to connect with consumers in a creative, purposeful way, building more loyalty and trust between them.
Aplazo's integrated, tech-enabled platform offers merchants the ability to increase average basket size, conversion, and customer engagement.
2.0 Summary of role: We are looking for an Analyst-Data Science to analyze large amounts of raw information to find patterns and trends to investigate the complex business process. We will rely on you to build data products to extract valuable business insights. Also, you should be highly analytical with a knack for analysis, math, and statistics. Eye for detail, critical thinking, and problem-solving skills are essential for interpreting data.
3.0 Reports to: Chief Data Scientist
4.0 Qualifications: Bachelor's or Master's degree in Computer Science, Information management, Statistics or related field, with 2 to 6 years of relevant work experience.
5.0 Location - Bangalore, India (Remote)
6.0 Nature of Employment: Permanent role
7.0 Compensation: 10 - 35 LPA + ESOPs + Perks
8.0 Responsibilities :
- Partner with Data scientists to define goals and identify key metrics for existing features and new models.
- Analyze large amounts of information to discover trends, patterns, and actionable insights.
- Create best-practice reports based on data mining, analysis, and visualization.
- Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
- Prepare analytical and trend reports, create graphics, and provide stakeholder-ready material.
- Understand the KPIs or reporting requirements from the business. Proactively suggest metrics basis the datasets and patterns therein.
- Identify business challenges with stakeholders and help provide analytics using statistical methods.
- Collaborate with engineering and product development teams.
9.0 Requirements:
- Experience in writing complex SQL statements and debugging/improving the performance of SQL statements.
- Have worked in the Snowflake data platform in designing/implementing the data models and SQL-based transformations.
- Experience in developing end-to-end data pipelines i.e., Ingestion, transformation, storage.
- Experience in building advanced analytics solutions with data from enterprise systems
- Experience with machine learning solutions and data science methods promotion.
- Experience in working with cloud-based deployments.
- Experience with dimensional modeling, data warehousing, and data mining.
- Experience using business intelligence tools (e.g. Tableau, QlikView, Power BI)
- Outstanding leadership, influencing, communication, interpersonal, and teamwork skills.
- Detail-oriented, with the ability to work both independently and collaboratively.
10.0 Preferences:
- People who demonstrate high ownership and have a founder's mindset
- People with an endless curiosity and hunger to learn
- Operators obsessed with customer experience
- Excellent communication and interpersonal skills
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