Developer, Data Analysis
at FYidoctors
Calgary, AB, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 25 Jun, 2024 | Not Specified | 26 Mar, 2024 | 5 year(s) or above | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Join our team as a Develop, Data Analysis! In this role you’ll be responsible for designing, developing, and maintaining data pipelines necessary to support our data initiatives. Specifically focusing on supporting the Finance FP&A team in designing solutions to efficiently bring together data across a wide range of source systems to enable timely, comprehensive analysis of the company’s profitability.
You will collaborate closely with data analysts, developers, engineers, and business users to ensure the availability, reliability, and performance of our data systems.
We are ideally seeking a candidate located in Calgary.
Responsibilities:
- Working closely with Finance and Business Intelligence teams to understand data requirements and deliver data solutions that meet business needs.
- Conducting in-depth data analyses and forecasting to identify patterns, trends, and insights that inform decision-making at multiple levels.
- Designing and implementing data models that facilitate data analysis and reporting, ensuring optimal performance and adherence to best practices.
- Designing, implementing, and maintaining scalable and efficient data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources.
- Developing robust ETL (Extract, Transform, Load) processes to cleanse, enrich, and prepare data for analysis and reporting purposes.
- Implementing and enforcing data quality checks, monitoring, and governance practices to maintain data accuracy and consistency.
- Contributing to continuous improvement of best practices in the areas of coding tools, languages and APIs, agile design, and development processes.
- Combining raw information from different sources to create consistent, accessible data for FP&A
- Ensuring data consistency and accuracy through data validation and cleansing techniques.
- Maintaining comprehensive documentation for data pipelines, systems, and processes.
REQUIREMENT SUMMARY
Min:5.0Max:10.0 year(s)
Information Technology/IT
IT Software - DBA / Datawarehousing
Software Engineering
Graduate
A field such as computer science or data engineering or an equivalent mix of relevant education (e.g
Proficient
1
Calgary, AB, Canada