Be a part of our transformational digital journey using innovative and leading edge technologies.
In the Information Age, data is the most valuable resource. If you can describe yourself as the powerful combination of data hacker, analyst, evangelist, and advisor, our Data Analyst
position is the right one for you. You will create and maintain solutions that provide actionable insights that in turn shape the future of our business. Our business: creating cutting-edge video and entertainment experiences and the next generation of connected home solutions for our customers.
Join us as a valued member of Canada's #1 global workplace
with a world-leading culture, plenty of opportunities to learn and advance your career, extensive community-giving initiatives, flexible work program and competitive benefits. Join our team
We are looking for talented Data Analysts
to join us and help drive our large-scale digital transformation program. This program is mandated with envisioning and building the future of digital life products for Canadians - from immersive entertainment to connected home experiences. Working with our solution delivery and product teams, you'll be translating business needs into analytics assets such as ad-hoc queries, dashboards and reports that leverage our data architecture to make data-driven decisions on product evolution and benefits capture. You will also work closely with architects and DevOps engineers to design, build and maintain the data pipeline, data storage, and analytics services - using modern, cloud based solutions and tools.
We are the Future Friendly Home Services DevOps group, responsible for the end-to-end technology development and operations of TELUS' Optik TV services, video and over-the-top services, broadband network capabilities, smart home solutions and software-defined wide area network (SD-WAN) solutions.
It's an exciting time to be a part of our mission to drive better outcomes through customer-centric, state-of-the-art software platforms. Here's the impact you'll make and what we'll accomplish together
The goal: together we will create industry-leading end-to-end customer experiences for next-gen video and digital home solutions, incorporating superior performance, reliability and flexibility, by design.
•You'll contribute to an inclusive, knowledgeable and highly motivated team, using SAFe (Scaled Agile Framework) practices to frequently deliver valuable software to market
•You'll become a go-to expert on the data and underpinning analytics solutions under your responsibility and how they fit into the overall architecture and value stream
•You'll identify data patterns relevant for TELUS Business objectives and suggest actions to improve TELUS Business performance
•You'll extract value hidden in data available from the TELUS service platforms
•You'll unlock the power of cloud services, having the freedom to leverage modern big data technologies to shape key products and services that define us as an organization
•You'll help drive a high-performance DevOps culture focused on end to end responsibility, collaboration, operational visibility and continuous improvement - delivering on critical metrics and exceeding customer expectations Here's how
•You'll work with marketing, product and technology stakeholders to discover and translate business requirements into data and analytics assets
•You'll provide technical leadership across a broad range of data analysis functions including data modeling, structured queries, report design, SQL and NoSQL databases, data quality, data profiling, metadata enrichment and management
•You'll apply statistics skills to analysis, such as distributions, statistical testing, regressions
•You'll work with data architects and DevOps engineers to design, build, enhance and maintain the data pipeline, data storage, and analytics solutions
•You'll take responsibility for the components under your purview: understanding the data models and how they meet business needs, ensuring data cleanliness, quality, and query performance
•You'll collaborate on agile PoCs to demonstrate advanced data science techniques such as predictive and machine learning driven analytics
•You'll leverage DevOps values and your experience to drive design decisions that support key operational needs
•You'll integrate security into all daily efforts
•You'll effectively collaborate using SAFe agile practices to deliver value
•You'll leverage modern cloud based data analysis algorithms and reporting tools (see Key Technologies section, below) Qualifications:You're the missing piece of the puzzle
Don't worry if you don't yet meet every requirement below. We are looking for experienced individuals with an analytical, curious and collaborative mindset and solid business and data analytics skills.
•Minimum 3 years, (5+ preferred) in a data analytics and/or DevOps Data Engineer role, working with large data sets and high performance queries and databases
•Ability to understand both the business and technical viewpoints in order to use analytics to provide business insights and actionable recommendations
•Data modeling and analysis: Ad-hoc queries, report and dashboard design and build
•Data quality assurance
•Delivery experience using agile (ideally, SAFe) and DevOps best practices
•Experience building positive relationships and collaborating with a variety of diverse groups and technical teams
•Strong verbal and written communication skills
•A creative approach to problem solving and the ability to work independently to manage deliverables in an environment with high levels of ambiguity
•Bachelors or Masters' degree in an analytical field of study (e.g. Engineering, Mathematics, Business Analytics, Finance, Computer Science) Key technologies
•Cloud-based data visualization and analytics solutions (e.g. AWS or GCP suite)
•Reporting tools such as: XGBoost classification, K.Mean clusterization, cosine similarity, Jaccard similarity score, Python, Pandas Python Library, Hadoop, Zeppelin
•Other tools and languages such as Tableau, PowerBI, Splunk, ELK, and Python or R for data analysis Great-to-haves / Your learning opportunities
Join us to refine your existing skills and gain new ones in these areas:
•Qlik Sense, Splunk, New Relic, Adobe Analytics
•HADOOP-based large data set processing platforms
•Data pipeline, ETL and storage design, build and management
•Data literacy and governance
•Predictive analytics and machine learning
•Video Media or Digital Experience Platforms A bit about us
Our business is connecting Canadians. Our social impact is using our world-leading technology to create meaningful change, give back to help communities thrive, and help those who need it most. When you join our team, you're helping us make the future friendly. We're committed to diversity and equitable access to employment opportunities based on ability -your unique contributions and talents will be valued and respected here.