Dawn InfoTek Inc. Hiring for Data Analyst – at Toronto, ON Full Time

Dawn InfoTek Inc. is a professional IT consulting team that partners with major financial institutions, investment firms and government sectors. We have been dedicated to delivering cutting-edge consulting services and recruiting all levels of IT positions for our clients.

We are currently seeking competent individuals to fulfill the role of Data Analyst to join our dynamic team for our client, one of the major banks.

Responsibilities:
Build, manage and grow relationships with product, design, and engineering teams by enabling data driven decision making.

• Understand performance trends, identify opportunities for growth, and provide actionable insights.
• Work cross functionally to define data strategy and analytics roadmap for digital initiatives, collaborating with Scotia Digital, other analytics teams, and the data office.
• Proactively identify, and drive analytics solutions to improve customer experience in collaboration with Data Scientists
• Deep dive into data to identify opportunities, influence product development, and/or overall functional and business strategies.
• Create and deliver analytics solutions and data products to optimize revenue growth and improve customer experiences using predictive modeling and machine learning.
• Communicate and coordinate with teams to implement data-driven strategies while measuring progress
• Conduct analysis and present performance results to business line stakeholders within Scotia Digital, analytics and across the bank.
• Develop and produce analyses, reports, and insights for partners that help drive tactical, operation, and/or strategic decision making in support of Digital Banking goals
• Collaborate with data scientists, data engineers, and operational teams to implement quality controls and automate data feeds and report generation.
• Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.

Must Have Skills/Requirements:

• You have 5+ years of experience with data management, performance measurement and stakeholder management
• You have experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform) and are comfortable with creating large queries
• You have experience using visualization tools like Power BI, Tableau or QlikView
• You have experience leveraging digital analytics tools such as Adobe Analytics, Google Analytics or Splunk
• Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, image)

Soft Skills:

• Strong project management and communication skills (both oral and written).
• Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.
• Proven data literacy and excellent storytelling — The ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
• Excellent analytical skills and can interpret and consolidate large amounts of information in actionable recommendations. You use sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
• Ability to pivot and adapt to change

Nice to have Skills:

• Being proficient in one or more statistical programming languages (eg. Python, R) and having practical experience with data science tools and libraries (eg. scikit-learn, Pandas, NumPy, Git etc.) is desirable.
• Knowledgeable about common supervised and unsupervised Machine Learning approaches (eg. feature engineering, ensemble methods, classification, regression, clustering, NLP, time series forecasting, etc.)

Education:
– University degree in business or in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience

Job Type: Full-time

Salary: $50.00-$65.00 per hour

Experience:

• data management: 5 years (preferred)
• performance measurement and stakeholder management: 5 years (preferred)
• Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark: 1 year (preferred)
• Power BI, Tableau or QlikView: 1 year (preferred)
• Adobe Analytics, Google Analytics or Splunk: 1 year (preferred)
• cleaning, transforming and visualizing large data sets: 1 year (preferred)