Data Analytics Intern

Overview:
As a Data Analytics Intern at Edense, you will step into the dynamic world of digital marketing, where data drives decisions and innovation. Working closely with our experienced analytics team, you will have the opportunity to delve into the fascinating realm of data, learning how to collect, analyze, and interpret key metrics that shape our clients' digital strategies. This internship offers you hands-on experience with industry-standard tools and techniques, allowing you to gain a comprehensive understanding of data analytics within a successful digital marketing agency.
By the end of your internship, you will have developed strong analytical skills, learned to transform raw data into actionable insights, and contributed to real-world projects that impact client outcomes. This experience will provide you with a solid foundation in data analytics, setting you up for success in your future career.

Key Responsibilities:


-Assist in the collection of data from various sources, ensuring its accuracy and completeness.


-Prepare and clean data for analysis, including handling missing data, outliers, and duplicates.


-Perform statistical and data analysis to extract meaningful insights and patterns (PowerBI).


-Create clear and effective data visualizations, such as charts, graphs, and dashboards, to communicate findings. (PowerBI)


-Prepare reports and presentations summarizing analysis results for internal and external stakeholders.


-Stay up-to-date with industry trends and best practices in data analytics and share insights with the team.

(Apply now at
; Requirements:-  Qualifications:


-Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, or a related field.


-Basic understanding of data analysis techniques and tools (e.g., Excel, SQL, Python, R).


-Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.


-Strong analytical and problem-solving skills, with a keen attention to detail.


-Ability to interpret and communicate data insights effectively.


-Eagerness to learn and apply new data analysis tools and methodologies.


-Excellent communication skills and the ability to work collaboratively in a team environment.


-A portfolio or examples of relevant coursework, projects, or personal work related to data analysis (optional but preferred).