At a Glance
- Tasks: Analyze data needs, build pipelines, and ensure data quality for impactful insights.
- Company: Dynamic analytics firm focused on innovation and collaboration.
- Benefits: Competitive pay, flexible hours, remote work options, and growth opportunities.
- Other info: Fast-paced environment with a focus on teamwork and continuous learning.
- Why this job: Join a team that values your input and helps you grow in the data field.
- Qualifications: Degree in computer science or related field; strong Python and SQL skills required.
The predicted salary is between 108000 - 132000 $ per year.
Role and Responsibilities
- Interface with business stakeholders, understand their data and analytics needs, establish requirement in alignment with data product owners and align on delivery plan.
- Lead discovery of the current reporting and data landscape: inventory sources, ETL processes, upstream/downstream dependencies, and existing metrics/definition
- Translate stakeholder requirements and current-state findings into a target pipeline design (batch and near-real time where applicable), including data flow diagrams, lineage, and logical/physical model
- Develop and maintain end to end data pipelines: author, tune, and optimize Python and SQL code for extraction, transformation, and loading (ETL/ELT), including incremental loads, partitioning, and CDC patterns
- Build reusable Python libraries and parameterized pipelines to accelerate delivery and ensure consistency
- Implement data quality, validation, and reconciliation processes: automated tests, reconciliation scripts, anomaly detection, and monitoring/alerting to ensure trust in the data
- Define and codify metric logic, mapping, and lineage; implement validation tests and documentation for each metric to support governance and auditability
- Own UAT for new/changed data assets: create test plans, run tests, document findings, and provide pass/fail recommendations to IT and engineering partners
- Prepare rollout materials and lead change adoption: runbooks, operational runbooks, deployment guides, knowledge transfer sessions, and training for analysts and business users
- Support table retirement and technical debt reduction by coordinating deprecation plans and ensuring no regression in reporting
- Collaborate in an Agile environment with peers and stakeholders; participate in planning, standups, and retrospectives to deliver iterative value
- Rigorously create and maintain document such that anyone can understand the design, logic, code, acceptance testing, data quality testing, and outcomes.
Document prototypes in detail, including learnings of what doesn't work.
- Effectively communicate analysis, reports, project status, milestones etc. in coordination with data product owners, program managers and scrum maters.
- Implement straight through, exception-based data product designs meeting data governance standards, including reporting.
Perform necessary data quality checking tasks, prepare data quality reports, establish necessary data security measures to prepare model ready data.
Candidate Profile
- Bachelor's/master's degree in computer science/engineering, operations research, or related analytics areas
- Deep expertise in Python and SQL, including complex query authoring and performance tuning.
- Hands on experience building and maintaining end to end data pipelines (batch and near real time).
- Proficient in data transformation/ETL/ELT: incremental loads, partitioning, CDC.
- Metric development: define logic, lineage, and validation tests.
- Implement data quality checks, automated tests, and reconciliation scripts.
- Knowledge of data warehousing and logical modeling
- Highly proficient in Microsoft Word, Excel, Power Point
- Exposure to Agile planning concepts: Kanban, Sprint.
- Able to work in a fast paced and continuously evolving environment with the ability to take-up challenging tasks.
- Can understand cross cultural differences and can collaborate with clients across the globe.
- Outstanding written and verbal communication skills
- #J-18808-Ljbffr
Data Analyst in Toronto employer: Inizio Partners Corp
Join a leading global professional services firm that values innovation and collaboration, offering a dynamic work culture where your expertise as a Solution Architect will be recognized and rewarded. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work on diverse projects that make a real impact. Located in a vibrant city, this role not only provides competitive benefits but also fosters a supportive environment that encourages creativity and teamwork.
We think you need these skills to ace Data Analyst in Toronto
Data Analysis
Python
SQL
ETL/ELT Processes
Data Pipeline Development
Data Quality Assurance
Metric Development
