Data Analyst Job at Fraoula.

Pic Credit - Fraoula

Dive Deep into Data with Fraoula (Data Analyst) Are you a data enthusiast with a knack for storytelling? Do you thrive in uncovering insights hidden within complex datasets? If so, Fraoula wants YOU!

Fraoula is a leading data analytics company empowering businesses to make data-driven decisions. It is a dynamic team seeking a Data Analyst to join our ranks and play a key role in transforming raw data into actionable insights.

Here's what you'll conquer:

Wrangle, clean, and analyze massive datasets using SQL and other tools.

Develop and execute data visualizations to communicate findings effectively.

Identify trends and patterns to generate insightful reports and dashboards.

Collaborate with cross-functional teams to translate data into business strategies.

Stay curious and explore new data analysis techniques.

Fraoula is looking for someone who:

Holds a bachelor's degree in Statistics, Data Science, or a related field (Master's a plus).

Possesses 1+ years of experience in data analysis or a similar role.

Proficient in SQL and data manipulation tools (Excel, Python libraries).

Has a strong foundation in statistical analysis and data visualization principles.

Excellent communication and storytelling skills are a must.

A team player who thrives in a fast-paced environment.

Why Fraoula?

Make a real impact – your data analysis drives informed decision-making.

Work alongside brilliant minds in a collaborative and supportive environment.

Continuously learn and grow with access to cutting-edge data tools.

Competitive salary and benefits package.

Apply Here.

Comments

Free Udemy Course for PowerBI

Free Udemy Course for PowerBI Get This Course for Free. Create beautiful dashboards instead of boring spreadsheets and slides. Make an involving presentation based on an interactive visual story. Create visualizations without programming skills. Learn some interesting tips for simply working with Power BI. Get this course for free. Basic Data Connection: Students will learn how to connect Power BI to simple data sources, gaining an understanding of basic data import techniques. Introductory Data Cleaning: Learners will be introduced to the Power Query Editor for basic data cleaning tasks, such as removing duplicates and filtering data. Fundamentals of Data Modeling: Participants will learn the basics of creating data models in Power BI, including simple relationships between tables. Basic DAX Formulas and Visualizations: Students will acquire foundational skills in writing simple DAX formulas and creating basic reports. Understanding the overall life cycle of building a Power BI Report

PowerBI Course Under $5.

PowerBI Course Under $5. PowerBI Course. What is PowerBI ? Power BI is a robust business analytics tool from Microsoft, crafted to convert raw data into compelling, interactive insights. It boasts an array of features such as data connectivity, preparation, modeling, visualization, and collaboration tools. Power BI empowers users to craft interactive dashboards, reports, and visualizations, enabling quick and effective business insights. Use of PowerBI - The value of Power BI stems from its capacity to make data analytics accessible, allowing individuals at every organizational level to base decisions on data. Its intuitive interface and accessible tools help organizations reveal patterns, trends, and connections in their data, fostering better decision-making, operational efficiency, and superior business results. Additionally, Power BI's compatibility with other Microsoft offerings and cloud services renders it an essential asset for businesses aiming to remain competitive in the

Importing Data into Power BI: Best Practices and Tips

Importing Data into Power BI: Best Practices and Tips Join My PowerBI Group. Importing data into Power BI is a crucial step in creating reports and dashboards. Here are some best practices and tips to enhance the process: Understand Your Data Sources: Get familiar with the structure, format, and quality of your data sources. Comprehend the relationships between different data tables and the business context of the data. Data Preparation: Clean and preprocess your data before importing it into Power BI. This includes removing duplicates, addressing missing values, standardizing formats, and converting data types. Use Direct Query When Appropriate: For large or frequently updated datasets that may surpass Power BI's data model size limits, consider using Direct Query mode. This mode enables real-time queries to the data source, ensuring reports are current. Optimize Query Performance: Improve data retrieval queries to reduce load times and enhance performance. Employ efficient SQ

TechBis

Search This Blog