Objective

The Data Analysis Advisor aims to interpret complex data and turn it into information which can offer ways to improve a business, thus affecting business decisions. The role involves gathering data, processing it, and performing detailed analysis of the results. It also includes reporting the findings back to the relevant stakeholders of the business.

Description

Enhances decision-making by providing insightful data analysis.

Sample Questions

• How to translate raw data into meaningful insights?
• How to implement Machine Learning algorithms for data analysis?
• How to ensure data integrity during ETL processes?
• How to align data analysis strategy with business goals?

Key Functions

1. Collecting and interpreting data. 2. Analyzing results and reporting the findings. 3. Identifying patterns and trends in data sets. 4. Defining new data collection and analysis processes. 5. Working alongside teams within the business to establish business needs. 6. Using data analysis tools and software. 7. Creating data dashboards, graphs and visualizations. 8. Providing sector and competitor benchmarking. 9. Monitoring and auditing data quality. 10. Liaising with internal and external clients to fully understand data content.

Required Skills

1. Programming skills, particularly with software such as SQL, Oracle, and Python. 2. Knowledge of R, SAS and other statistical software. 3. Experience in data models and reporting packages. 4. Ability to analyze large datasets. 5. Knowledge of data collection systems and strategies. 6. Proficiency in Machine Learning algorithms and concepts. 7. Understanding of ETL (Extract, Transform, Load) processes. 8. Familiarity with data visualization tools such as Tableau. 9. Knowledge of statistical tests and distributions. 10. Strong mathematical skills. 11. Experience with Big Data tools like Hadoop, Hive, or Pig. 12. Familiarity with data management tools such as SSIS. 13. Knowledge of predictive modeling. 14. Understanding of data warehousing.