Senior Data & Reporting/Business Analyst - GFT

RBC • Toronto, ON

2d • Onsite

About The Position

The global functions technology group supports Finance and Risk Business partners by using our extraordinarily rich data set that spans multiple versions and geographies globally and captures detailed datasets. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Engineering and various groups at the Bank. To support our rapidly growing group we are looking for Senior Data Analyst/Engineer who are equally passionate about the opportunity to use rich data to tackle meaningful business problems. The candidate will apply extensive, in-depth knowledge, skills, and practices to perform complex assignments to bridge the gap between business and technology by delivering critical insights and analysis to shape strategy, evolve data connectivity, and provide insights into data transformation.

Requirements

• Solid understanding of Finance business processes such as Balance Sheet Reporting, Profit and Loss Reporting, Capital Reserve Reporting, Capital Markets products and processes, and Regulatory Reporting
• Minimum of 5+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business requirements, consulting, or other data-driven functions
• Demonstrated Experienced in quantitative, qualitative, analytical, problem solving, and critical thinking skills.
• Exceptional storytelling skills, with a track record of translating complex data into compelling business insights.
• Ability to communicate findings derived from complex analytics to Senior Leadership, both verbally and visually.
• Experienced in databases, data engineering, ETL, ELT concepts with utilizing querying, automation, and big data technologies (e.g. Python, SQL, Spark, Teradata, Hadoop, Snowflake, Databricks) to produce repeatable insights
• Proficiency with creating compelling presentations

Nice To Haves

• Data Engineering / Data Science certification and/or completion of Business Analysis training courses.
• Copilot , Git hub , Python knowledge

Responsibilities

• Utilize Hive/SQL/ Python to perform daily data analysis and advanced data mining and analytics on large transactional datasets
• Work closely with Program sponsors, SMEs in various business areas, technology teams to finalize functional business requirements and support implementation activities
• Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to completeness
• Find opportunities to create and automate repeatable analyses or build self-service tools for business users
• Research industry metrics and business context and bring this context to bear in analyses
• Oversee processes such as data gathering, transformation, reporting, and advanced analytics to ensure the integrity and reliability of large datasets.
• Drive the highest standards of quality, rigor, and thought leadership across the entire data lifecycle.

Benefits

• A comprehensive Total Rewards Program including bonuses and flexible benefits
• competitive compensation
• commissions
• stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Opportunities to do challenging work.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed