- Develop and maintain scalable data pipelines to support the continuous increase in data volume and complexity
- Design and build data models, views, BI semantic layers, and BI assets for governed reporting and self-service data discovery and analytics
- Engineer end-to-end data solutions on both on-prem and cloud infrastructure
- Engage in workshops with various business stakeholders to understand business requirements for new reporting and analytics use cases, and develop dashboards and reports that fully meet their needs
- You'll be continuously consulting and collaborating with marketing and sales teams to develop timely and accurate reporting to provide actionable insights
- Leading the implementation of operational and partnership dashboards and self-serve reporting using Looker, Tableau and Domo etc. to help the leadership make informed data-driven decisions
- 6+ years of experience as a Data Analyst, Business Intelligence Analyst, Business Intelligence Developer, Business Systems Analyst, Data Engineer, or similar role
- In-depth knowledge of SQL including advanced SQL coding, relational database design, data warehousing
- A very good understanding of GCP services, such as IAM, bigQuery, Dataflow, GCS and proficient in relevant programing language for cloud platform like Python
- You bring 6+ years of experience in driving data-based decisions in a consultative style to executive and senior management stakeholders
- You have extensive experience and in-depth knowledge of identifying requirements and building reporting solutions & system roadmaps in collaboration with key stakeholders
- Ability to work independently in a fast-paced environment and at the same time able to collaborate with stakeholders
- Proficiency with some of the following technologies: ORACLE, Exadata, Microsoft SQL Server, Cloud managed database, SSIS, Informatica, Talend, R, Python, GCP, Azure Data Factory, AWS Glue, Tableau, Domo, Power BI, etc
- Ability to work independently in a fast-paced environment and at the same time able to collaborate with stakeholders
- Excellent analytical ability, strong organizational skills, ability to prioritize, ability to multi-task, work under pressure, and meet deadlines promptly
- Post-secondary degree in Computer Science or Engineering and/or equivalent experience
- 5 years of telecom and/or home security experience
- Certification in Data Engineering/ Business Intelligence tech stack
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Senior Data Analyst - Toronto, Canada - TELUS
Description
Description
Our team and what we'll accomplish together*
The Direct-To-Consumer (D2C) channel team is a fast-paced and growing residential sales team that is at the forefront of innovation for TELUS.
Our D2C Data & Reporting team is responsible for arming our sales teams with the tools, processes, and data to enable a better customer experience and deliver on sales & marketing targets for TELUS.
We are looking for a passionate and dynamic individual to join our team and play an important role in building critical data engineering and generating data-driven business insights for our ever-expanding D2C Channel team As a Senior Data Analyst, you will lead the team across our data strategy, analysis, data integration, and data management.
You will have the opportunity to collaborate with leadership teams to understand the biggest challenges to solve and are passionate about turning data into actionable insights that will accelerate channel outcomes.
What you'll do*
Qualifications
What you bring*
Great-to-haves*
Please note: The TELUS Internal Title is Senior Performance Analyst (Level 65)