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Adedoyin Ayodele

Data analyst

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Intro
Lagos, Nigeria
Information Technology & Services
linkedin.com/in/adedoyinayodele
Joined September 7, 2024

Skills

Languages

English
-
Fluent
About
As a highly analytical and detail-oriented data analyst with a strong background in statistical analysis, data visualization, and well-trained at developing database access systems, I aim to leverage my expertise to provide actionable insights and strategic recommendations that drive business success. I am seeking an opportunity to join a forward-thinking organization where I can contribute to data-driven decision-making, enhanced operational efficiency, and support growth initiatives through innovative data solutions. My goal is to continuously develop my skills in a dynamic environment, stay abreast of emerging trends and technologies in data analysis, and play a pivotal role in transforming data into a valuable asset for the organization, and supporting business unit with data-driven insights to enhance business performance seeking to leverage proven leadership strategy skill to grow revenue at your business.
Experience
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Incubator hub
Jun 2024 – Sep 2024
Virtual
Research and Data analyst
I do clean and prepare data for analysis by removing duplicates, handling missing values, and standardizing data formats. Excel is particularly useful for smaller datasets where manual cleaning or quick transformations are required. • Use SQL to clean and transform data within the database. This might involve creating views, temporary tables, or using functions like CASE, COALESCE, and others for data normalization. • Write queries to extract data from relational databases. You’ll be retrieving data from tables, joining tables, and applying filters to get the specific data needed for analysis. • Import and manage datasets, often in CSV or spreadsheet formats. You might also clean and prepare data using Excel functions like VLOOKUP, IF, and PivotTables. • Perform basic analysis like descriptive statistics, trend analysis, and using charts or graphs to spot insights. • Analyze data directly within the database by running queries to identify trends, calculate key metrics (e.g., averages, totals), and segment data based on business needs. • Visualize data for more advanced analytics. You can connect Power BI directly to your data sources to create interactive dashboards, charts, and reports that communicate insights clearly.