data specialist Halton Hills
Job description
Data Analytics Specialist
At Halton Region, we treat everyone with respect, honesty, fairness and trust. As an equal opportunity employer, we are committed to establishing a qualified workforce that is reflective of the diverse population we serve. Halton Region is committed to providing accommodation to individuals with disabilities throughout the recruitment process.
Over the next 4 years, the Region’s goal is to become a Digital First organization that is committed to delivering high-quality services in the digital age. Our Digital Mission is to offer 125 of our most used customer-facing services and the top 50 internal processes and staff experiences as complete digital services by 2025.
Through collaboration, innovation, digital and information decision-making models, accountability, and partnerships, Halton Region aims to Build a Strong Digital Culture. The Region aims to invest in education, and training, celebrate and showcase successes and build a community of practice that will share knowledge and tap into individual skills.
There is no better time to join Halton Region as we transform our conventions and practices to better serve our community and employees.
As an employer of choice, Halton Region recognizes the many benefits of hybrid work arrangements including flexibility and better work-life balance for our employees. This position is eligible for our Hybrid Work Program.
Posting ID: 2025
Department: Digital & Information Services
Division: Digital Services & Data Management
Pay Range: $83,686 - $111,577
Job Type: Permanent
Hours of Work: 35 hours per week
Work Location: Halton Regional Centre - 1151 Bronte Road, Oakville
Employee Group: OCT
Posting Date: June 1, 2023
Application Deadline: June 18, 2023
Job Summary
Reporting to the Manager, Data and Information Management within the Digital Services and Data Management division, this position is responsible for implementing and operating data services to collect, manage, integrate, share and reuse high quality data to inform strategic decisions and support the delivery of Halton’s Digital strategic priorities.
The successful candidate will develop and support emerging opportunities in advancing data integration, new and existing data projects, and leveraging Azure-based platforms for data engineering.
Duties & Responsibilities
- Design, develop, and maintain scalable and robust data pipelines to combine, transform, and move large volumes of data from multiple sources to appropriate databases and data warehouses.
- Collaborate closely with analysts and stakeholders to identify, understand, and fulfill data requirements for current and future business needs.
- Ensure high-quality data by implementing strict data validation and monitoring processes, as well as data cleansing and enrichment techniques.
- Troubleshoot and resolve data-related issues, ensuring the efficient flow of information across the data ecosystem.
- Designing, delivering and maintaining enterprise-wide / in-production analytic solutions.
- Developing, evaluating and refining analytic models to inform strategic decision making through data visualization, business intelligence and predictive analytics services.
- Extracting, transforming and analyzing data from multiple data sources, ensuring data quality and integrity is maintained from source to the final output.
- Developing and maintaining a data catalogue identifying what Halton collects and creates and how it is used.
- Developing, maintaining, and enhancing metadata used by both technical and business teams through data quality assessments.
- Identifying areas for data quality improvements and supporting business in developing solutions to systematically resolve issues.
- Other duties as assignment.
Skills & Qualifications
Essential
- Degree in Statistics, Economics, Mathematics, Computer Science, Data Science, Business Administration or a related field
- Five (5) years of proven experience in developing data analytic and business intelligence solutions using on premise and cloud-based big data that is structured and un-structured.
- Ability to build scalable and robust data pipelines to combine, transform, and move large volumes of data from multiple sources
- Data extraction, cleaning, collection, organization, analysis and interpretation from various systems
- Understanding of extract, transform, and load (ETL) methodologies
- Database principles and structure, including strong SQL skills for querying data and managing databases
- Understanding of cloud technologies, such as Azure or AWS
- Experience in SAP, Siebel, Hansen/Infor IPS, Salesforce, GIS solutions, MuleSoft and similar enterprise systems in the context of reporting and data extraction.
- Knowledge of data analysis concepts and data mining techniques to present hidden relationships and patterns found within structured and unstructured data sets.
- Proficient in data analytics, engineering, and general purpose programming using languages such as Python.
- Experience with data warehousing/databricks, business intelligence tools and platforms including cloud, on premise and hybrid environments.
- Expert ability to develop compelling narratives through the use of data insights.
- Ability to seek and build internal/external relationships; negotiate with representatives from other departments and outside agencies to identify and achieve objectives.
- Strong critical thinking skills and a high degree of intellectual curiosity.
Working/ Employment Conditions
Employment Conditions
- Current (obtained within the past six (6) months), original and acceptable Criminal Records Check, by the first day of employment.
Important information about your application:
- In accordance with requirements in Ontario Regulation 191/11 – Integrated Accessibility Standards and the Ontario Human Rights Code, Halton Region will accommodate the needs of individuals with disabilities throughout the recruitment process. If you require accommodation at any stage of the recruitment process, please inform the Talent Acquisition representative of the nature of the accommodation(s) you require.
- Please submit your application online. We will accommodate individual needs for applicants with disabilities and others who are not able to apply online. If you experience any issues with submitting your application, please contact HR Access at 905-825-6000 extension 7700.
- Applications will be accepted until 11:59 p.m. on the deadline date specified on the posting.
- We encourage applications from all qualified individuals; however, only those under consideration will be contacted.
- Personal information collected through the job application process will only be used for the purpose of determining qualifications for employment.
- If selected for an interview, you will be contacted by email and/or phone. Please ensure the contact information provided on your resume is up to date and that you check your email and voicemail regularly.
Halton Region serves more than 595,000 residents throughout Burlington, Halton Hills, Milton and Oakville. We are committed to delivering high-quality programs and services that make Halton a great place to live and work. We engage great people who contribute to meaningful work that makes a positive difference in our community. At Halton, you are encouraged to grow and succeed in your career and are recognized for your accomplishments and contributions. As an employee, you will be part of a progressive, service-focused, and award-winning employer with a diverse and inclusive work environment.
About Halton Region
Revenue: $100 to $500 million (USD)
Size: 1001 to 5000 Employees
Type: Government
Website: www.halton.ca
