Role Description
Analytics is responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business. Work includes:
- Defining data requirements, data collection, processing, cleaning, analysis, modelling, visualisation, development of analytical toolkit and research techniques
- Examining and identifying data patterns and trends to help answer business questions and improve decision making
- Identifying areas to increase efficiency and automation of data analysis processes
- Providing business functions with data insights to help them achieve their strategic goals. Where the roles have a specific focus on Data Science, work will predominantly focus on:
- Creating data mining architectures/models/protocols, statistical reports, and data analysis methodologies to identify trends in large data sets
- Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
- Representing the bank as a data science practitioner in industry initiatives
- At higher career levels, they may conduct scientific research projects with the goal of breaking new ground in data analytics
Your key responsibilities
- Data Preparation & Transformation:
- Proficiency in Alteryx for data cleansing, transformation, and integration from various sources.
- Experience with data wrangling, including handling missing values, outliers, and data type conversion.
- Data Visualization & Reporting:
- Expertise in Tableau for creating interactive dashboards, visualizations, and reports.
- Experience with Tableau Prep for preparing data for visualization.
- Ability to communicate insights effectively through data storytelling.
- Programming & Scripting:
- Strong Python programming skills for automating data analysis tasks and building custom solutions.
- Experience with scripting and automation tools within Alteryx.
- Data Analysis & Interpretation:
- Ability to identify trends, patterns, and insights from data.
- Strong analytical and problem-solving skills.
- Communication & Collaboration:
- Ability to clearly communicate findings and recommendations to both technical and non-technical audiences.
- Ability to work effectively in a team environment.
Tools Mentioned
- Alteryx: For data preparation, transformation, and integration.
- Python: For coding, advanced analytics, and automation.
- Tableau: For data visualization and reporting.
Your skills and experience
- Proven experience in developing and working on Python, Alteryx, Tableau for 4+ years
- A solid understanding of SQL, relational database management system, data modeling
- Experience working on Alteryx and Python
- Strong communication skills.
- Attention to detail and accuracy.