Nsikan Udoma

Data & Business Intelligence Analyst || Marketing Data & Operations Analyst || Versed in SQL, Python, Tableau, MS Excel & Google Sheets, A/B Testing, ETL/ELT

I'm a Data Analyst with experience using Agile methodologies and the ability to work cross-functionally with key stakeholders to build dashboards, automate reporting, and provide actionable insights that will drive data-driven decision-making. In my current role as a Data Analyst Trainee at Masterschool, an EdTech startup, I have gained experience in converting research questions into advanced SQL queries, performing complex EDA projects, and developing interactive Tableau dashboards for various industries. Additionally, I am proficient in debugging existing SQL queries for performance tuning and faster run time, working with data warehousing tools such as Snowflake, AWS Redshift, Google BigQuery, and Azure Databricks.
As a Marketing and Operations Analyst at Platinum Plus TV, I led a team that created over 5,000 SKUs and developed KPIs to track their performance. By developing Tableau dashboards for real-time KPI monitoring and user subscription summary reports, I helped the company achieve a 69% user subscription growth in just four months.

I am also experienced in using Python to write scripts for data cleaning, data transformation and for automating workflows and data wrangling tasks. For smaller size datasets, I turn to MS Excel or Google Sheets to conduct advanced or less complex exploratory and explanatory data analysis, and I have a solid understanding of Pivot Tables, VLOOKUP, logical & conditional aggregation functions, and creating dynamic dashboards in MS Excel or Google Sheets. These experiences have equipped me with excellent interpersonal and communication skills, as well as the ability to work closely with stakeholders in various departments, including sales, marketing, software engineering, product management and growth, and customer success.

My Data Analytics education at Masterschool provided a deeper understanding of the importance of performance and efficiency when working with large datasets that have several columns and hundreds of thousands and sometimes millions of rows. I enjoyed working with Python for programming and automating workflows, SQL for EDA, ETL and data cleaning, Spreadsheets and Tableau for exploratory and explanatory data analysis. This education improved my ability to analyze datasets using various math and statistical functions, queries, python scripts and logical operators. I enjoyed creating dashboards, reports, and presentations to showcase my findings to leadership teams and relevant stakeholders.