BI analysts for data warehouse and data lake concepts; handle SQL, JIRA; data visualization using Tableau/Power BI, custom dashboards, data models and reports. Find Business Intelligence WFH freelancers on November 28, 2023 who work remotely. Read less
Bringing advanced skills in Microsoft Excel and Power BI, data analysts perform complex data analysis of current operations in order to identify opportunities for improvement and generate reports that communicate results to all levels of the business (https://www.snhu.edu/about-us/newsroom/stem/what-does-a-data-analyst-do); they design, develop and maintain data visualizations and reports to ensure that the Business meets its targets; Contribute to the strategic and commercial analysis of potential and existing customers and competitors; Assist management in the review/continual improvement of business KPIs and review the procedures with a focus on cost efficiency and waste elimination.
Usually freelance data analysts will have backgrounds as qualified Data Scientists or Machine Learning Engineers. That deep learning modeling experience across anomaly detection, forecasting, causal inference, NLP, data mining or content analysis is tied to their technical skills with SQL, R/Python and Pyspark (https://spark.apache.org/docs/latest/api/python/) for data analysis and visualization tools – the data analyst should be the key link between users and technical development teams, responsible for identifying the business needs.
With familiarity working in a notebook-based workflow and deriving narratives from data in order to tell convincing stories they will create reports based on obtained or manipulated raw, valid data using SQL, Excel, R, or Python; create algorithms and use illustrative techniques to produce high-quality dashboards and reports to uncover economic trends that provide value to the business - have those interpreting skills to analyze data to increase revenue, profitability, and customer satisfaction for cross-training purposes. Data visualization skills in BI tools such as Tableau or Power BI are essential: https://powerbi.microsoft.com/en-us/learning/
Many will have experience with big data technologies, such as Hadoop and Spark for large scale datasets. Well-versed in SQL languages.