BC Public Service
Ministry of Finance
Victoria
Senior Data Analytics Developer
$72,724.97 - $83,014.85 annually plus 9.9% Temporary Market Adjustment
There are currently two permanent full time positions available
Bring your in-depth knowledge and experience with IT change control to this unique opportunity
The Senior Data Analytics Developer will focus on supporting Finance Real Estate Data Analytics (FREDA) branch. The FREDA branch was formed to build capacity in the Policy and Legislation Division, and the Ministry generally, to perform data analytics and support evidence-based decision making. The Ministry of Finance has access to large amounts of raw administrative data, and the goal of the Finance Real Estate Data Analytics branch is to clean and transform that raw information into statistics and data-driven insights. FREDA either responds to specific requests for analytics or creates custom data tools, such as interactive data dashboards, that empower ministry officials to perform their own analysis.
The Senior Data Analytics Developer provides expert data analysis, data design, data modeling and data quality services. The position participates in the design, development, maintenance and production support of data pipeline and data products (e.g. data warehouse, data mart, etc.) for the Finance Real Estate Data Analytics branch.
The BC Public Service is committed to creating a diverse workplace to represent the population we serve and to better meet the needs of our citizens. We acknowledge all Indigenous peoples on whose territories we work and play. We honour their connections to the land and respect the importance of the diverse teachings, traditions, and practices within these territories. Consider joining our team and being part of an innovative, inclusive and rewarding workplace.
Qualifications for this role include:
- Certificate or higher in the computer science field plus three years of *related experience.
- An equivalent combination of relevant education and experience may be considered.
- Minimum three years’ experience working with Structured Query Language (SQL) and/or data engineering programming and/or scripting languages such Python, Scala, etc.
*Related experience includes a combination of the following:
- Relational and/or object data modeling.
- Data analysis and data cleansing.
- Working with data pipelines.
- Corporate data design, warehousing and/or business area analysis techniques.