Data Scientist at Parvana

Job Description

Client Details:

Our client has grown steadily since the 1990’s without ever retrenching anyone. They hire for attitude and train for skill. Most staff have been there for over 10 years. Flexi-time, generous bonuses and the opportunity to learn and continuously evolve is encouraged. They follow an Agile methodology and are involved in a wide range of services that cross multiple business domains. A cornerstone of the business is research and innovation and continuous improvement. This environment is best suited to someone who enjoys learning, collaboration and working in a team.

Role Responsibilities:

• Performing software development and production support.
• Providing overall expertise in the area of Data Warehouse and Reporting Applications.
• Designing, developing and modifying relational and multidimensional database structures, relationships, data flows and data interfaces.
• Analysing, creating and modifying the data structures within the data warehouse.
• Developing / modifying the data load ETL processes as needed to extract, transform and load data from various data sources into the data warehouse.
• Using programming languages, software development methods, “best practice” programming techniques and department standards guides to develop new data warehouse structures and reports and to modify existing ones.
• Unit test and debug code prior to delivery to client.
• Participating in requirements gathering and analysis, technical design, testing, etc.
• Consulting with clients to gather information about needs, objectives, functions, etc.
• Identifying / proposing technical alternatives to solving client requests and system problems.
• Following department standards and creating written documentation and diagrams as required.

Preferred Qualifications:

• Bachelor's degree in Computer Science, IT, Data Science, Information Systems, etc.

Relevant Skills / Experience:

• Strong interest in analytical and dimensional modelling and data analytics tools.
• Knowledge of the software development life cycle (SDLC).
• Knowledge / experience in relational databases, SQL, PostgreSQL.
• Experience in database design and modelling for data warehouse and BI applications, including relational database structures and normal forms.
• Analytical / troubleshooting skills with complex technical subjects and tasks.
• Ability to present and explain complex technical topics, problems, alternative solutions to others.

Experience with most of the following software, languages and tools is preferred:

• SQL Server DBMS, TSQL (ANSI), PostgreSQL, Python.
• Experience estimating solution development and delivering solutions against those estimates.
• Understand thoroughly the architecture, data structures and fundamental design principles of the data warehouse.
• Insurance knowledge would be advantageous.