Online Data Analyst auditing geographic, business, and cultural data for TELUS Digital’s AI systems. Validating Canadian mapping information through structured research and quality evaluation.
About the role
- Mid-level Data Analyst at Torrero handling business analytic data needs. Collaborating on data projects, using SQL, Python, and analytical tools for insights and reporting.
Responsibilities
- Responsible for analytic data needs of the business unit
- Handle complex data projects and acts as a mid-level Data Analyst
- Provide advanced analytical support for business operations in all the following areas: Finances, Product Analytics, Marketing promotions
- Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources
- Conduct thorough exploratory data analysis (EDA) to uncover actionable insights and business opportunities
- Utilize statistical techniques and predictive modelling to forecast gaming trends and anticipate player preferences
- Review data to determine operational impacts and needed actions; elevate issues, trends, areas for improvement and opportunities to management
- Develop reports and deliverables for management
- Develop data using data warehouse analytical tools viz SQL, Python and Power BI
- Collaborate with data engineers to design and maintain robust data pipelines, ETL processes, and data warehousing solutions
- Develop and enforce data governance policies and best practices to uphold data quality standards across the organization
- Design, conduct, analyze and report on quantitative and qualitative research
- Display analyses results in text and visualizations to communicate results to the customers
- Ensure the integrity, accuracy, and completeness of data sources through regular data validation and cleansing procedures
- Support annual and ad hoc internal and external reporting requirements and prepare briefings and reports as needed
- Collaborate with cross-functional teams to understand and fulfil the business requirements
Requirements
- Proficiency in SQL and Python
- Experience with data visualization tools Tableau, Power BI
- Knowledge of statistical techniques and methods
- Strong analytical and problem-solving skills
- Excellent communication and presentation skills
- Ability to work independently and collaboratively in a team environment
- Strong attention to detail and a passion for leveraging data to drive business decisions
Benefits
- Fully remote job - work from anywhere you want
- Flexible working hours
- Competitive compensation
- 28 paid days off per year
- 3 paid sick days a year without medical certificate
- Seniority leave
- Birthday Day off
- Real career opportunities and professional growth
- The great team across the world
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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