NN Zulu

I am a Junior Analytics Engineer who is interested in a role as an Analytics Engineer, or the opportunity to up-skill into a Data Scientist role. I am most comfortable working with data loading & warehousing (Fivetran & Snowflake), data modeling (dbt, data form), and data visualization (Looker), however, I am open to working with Python and being more involved in the creation of machine learning models.

In my next role, I would like to be offered the opportunity to move from a Junior role to a more intermediate role that will allow me to have more ownership of projects and allow me to be heavily involved in designing data models, gathering information, writing code, maintaining data documentation, communicating results and collaborating with team members and various stakeholders in the company.

I would like a company culture that focuses on growth by investing in professional development, continuing education, training, and mentorship for employees, a company that is diverse in thought and approaches, and a hierarchal structure and management style that promotes trust and freedom. My ideal team/company size would be small to medium-sized. However, I am open to bigger corporates too. The benefits I would like to include health insurance and professional development/education benefits.

In terms of your professional growth, I would want to create a larger impact on the business outcomes with my current and soon-to-be-learned skills and expertise, be a valuable asset to the company, and receive guidance from seniors and management.

Please note that my notice period is 2 months.

Work experience

October 2020 - present Junior Analytics Engineer at Valenture Institute

Roles and Responsibilities:

• Modeling, transforming, testing, deploying, and documenting data.
• Create dashboards, data visualisations, and automated alerts for stakeholders to assist in making informed business decisions.
• Ensure data integrity and deliver analytics
• Using data for forecasting, predictive modelling, and assisting in the implementation of machine learning models
• Presenting weekly insights to the Marketing and Admissions management team

Tech Stacks used:

• Data loading (FiveTran)
• Data Warehouse (Snowflake)
• Structured Query Language and Data Modelling (Dataform, Dbt Cloud, Microsoft SQL Server and LookML)
• Working with Microsoft Excel, Word, Access, and PowerPoint
• Data Visualization using BI tools (Looker)

Education

Master of Science (MSc) in Business Information Systems

Middlesex University (Mauritius, Flic-en-flaq), Sep 2019 – Feb 2021

Bachelor of Commerce (BCom) in Information Systems

Rhodes University, Feb 2015 – Nov 2018