Lead Data Analyst - Broadridge

Résumé du poste

The Lead Data Analyst will design and implement business solutions using Google Cloud while gathering requirements and providing actionable insights. They will also guide a team of analysts and oversee the integration of effective business practices into information systems.

Détails du poste

Requisition ID: 266013 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in meeting the operational data needs of the various stake holders within Wealth Management. The Lead Data Analyst will play a key role in designing and implementing business solutions using Google cloud working closely with the enterprise data team and data architects, solution architects, data analyst and data engineers Is this role right for you? In this role you will: Gather requirements, conduct research, and provide actionable insights to solve business problems. They collaborate with multiple teams to ensure project goals meet business needs. A key task is documenting and presenting findings through reports and presentations. Serves as a data analyst and technical support for information systems. The Data Analyst analyzes current business processes and oversees the integration and implementation process of effective business practices into the appropriate information systems. Data Analyst is to promote efficiency through the systems used in a company. This is broken into two components: Improving and optimising current systems in the business; and creating new systems to support the company's strategies. Creating technical documents inclusive of mapping details as well as designing and implementing data ingestion patterns that will support batch, streaming and API interface on both the Ingress and Egress. Guide a team of data analyst and work hands on in developing framework and mapping specs using best practices that will meet the demanding performance requirements Use their advanced technical knowledge to support their claims and answer clients' questions about the proposed changes. Provide end-to-end business/technical guidance and expertise on data integrity and referential integrity across LOBs Defining Use Case Scenarios and validate the scenarios Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have: 10+ years of experience in data analysis, performance optimization for large OLTP applications Knowledge of Wealth Industry – Retail/Wealth, IIROC-CRM guidelines, CRA guidelines Oral and written communication skills. Interpersonal and consultative skills. Facilitation skills. Analytical thinking and problem solving. Being detail-oriented and capable of delivering a high level of accuracy. Organizational skills. Knowledge of business structure. Stakeholder analysis. Expertise knowledge of Hadoop HDFS, Hive, Pig, Flume and Sqoop. Working Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL) Experience working with relational/NoSQL databases Experience with data streaming and technologies such as Kafka, Spark-streaming etc. What's in it for you? Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements. Upskilling through online courses, cross-functional development opportunities, and tuition assistance. Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one. Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration. Community Engagement – We offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more! Location(s): Canada : Ontario : Toronto Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Ce que vous ferez

The Lead Data Analyst will design and implement business solutions using Google Cloud while gathering requirements and providing actionable insights. They will also guide a team of analysts and oversee the integration of effective business practices into information systems.

Exigences

Candidates must have 10+ years of experience in data analysis and performance optimization for large OLTP applications. Proficiency in Hadoop, Google Cloud Platform, and various database technologies is required, along with knowledge of wealth industry guidelines.

Avantages

• Bonus • Flexible vacation • Personal days • Sick days • Tuition assistance • Employee resource groups • Workplace accommodations

Compétences indiquées

• Technical Documentation · Souhaitée
• SQL · Souhaitée
• PostgreSQL · Souhaitée
• Analyse de données · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data analysis
• Performance optimization
• Google Cloud Platform
• Hadoop
• Hive
• Pig
• Flume
• Sqoop
• SQL
• Spanner
• PostgreSQL
• Kafka
• Spark-streaming
• Wealth management
• Stakeholder analysis
• Technical documentation
• Allyship
• Apache Flume
• Business Problems
• Analytical Thinking
• Organizational Skills
• Private Banking
• Google Cloud Platform (GCP)
• Upskilling
• Research
• Application Programming Interface (API)
• Data Analysis
• Technical Support
• American Sign Language (ASL)
• Customer Relationship Management
• Commercial Banking
• Business Process
• Capital Markets
• Communication
• Information Systems
• Cooking
• Data Engineering
• Data Integrity
• Document Formatting
• Equities
• Apache Hadoop
• Hadoop Distributed File System (HDFS)
• Apache Hive
• Investment Banking
• Problem Solving
• NoSQL
• Operational Data Store
• Online Transaction Processing
• Presentations
• Wealth Management

Domaines d’emploi

• Data & Analytics
• Technology
• Finance & Accounting
• Software
• Management & Leadership
• Lead Data Analyst
• Traffic Analyst
• Town and Traffic Planners
• Traffic Technicians