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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants
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$75 - $95/hr
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants
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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants
Quick apply
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants
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Senior Business Data Analyst Position Summary Reporting to the Director or Senior Manager, Data Governance, the Senior Business Data Analyst ensures business applications provide complete, accurate,
Senior Business Data Analyst Position Summary Reporting to the Director or Senior Manager, Data Governance, the Senior Business Data Analyst ensures business applications provide complete, accurate,
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Data Analyst Python Sql information
How does a data analyst using Python and SQL typically collaborate with other departments within an organization?
What is a data analyst Python SQL?
What jobs can I get if I know Python and SQL?
What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?
What is the difference between Data Analyst Python Sql vs Data Scientist?
| Aspect | Data Analyst Python Sql | Data Scientist |
|---|---|---|
| Required Skills | Excel, SQL, Python basics, data visualization | Advanced Python, machine learning, statistical modeling |
| Work Environment | Business intelligence, reporting, dashboards | Predictive modeling, research, complex data analysis |
| Industry Usage | Finance, marketing, retail, healthcare | Tech, finance, research institutions, startups |
While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.
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Full-time
Posted 8 days ago
Job description
Job Description
What is the opportunity?
We are seeking an experienced Senior Data Analyst & Python Developer to contribute and build upon the ecosystem with collaboration with our technology/business partners across the bank. This role offers the opportunity to collaborate across technology and business partners throughout the bank, exploring emerging technologies and contributing to high-impact projects and expand into different areas of interest or additional projects that align with your expertise.
This role works in the office 3 to 4 days a week.
What will you do?
Design & Deploy Python Solutions- Architect, build, and integrate Jupyter notes and various python applications into RBC ecosystems, ensuring scalability and alignment with business objectives.
Optimize Data Workflows- Develop, manage, and optimize data pipelines and supporting infrastructure; refine UI components to improve client targeting accuracy and user experience.
Establish Technical Standards- Create and maintain Python coding standards and Jupyter notebook environments; optimize code across Python, SAS, and SQL to ensure performance and maintainability.
Drive Innovation- Research emerging technologies and capabilities, recommend solutions that advance NBA functionality, and support deployment of infrastructure changes in production environments.
Enable Independence & Collaboration- Work effectively both autonomously and within cross-functional teams in an agile environment, leveraging advanced SQL and data analysis skills to support AI/automation workflows.
What do you need to succeed?
Must have
2+ yearsof hands-on software engineering or development experience (Python, Java, Scala, or equivalent); demonstrated proficiency with Python, SQL, and data warehouse technologies.
2+ yearsof SQL expertise and relational database management (MySQL, Postgres, SQL Server, Snowflake, or equivalent).
Advanced Problem-Solving- Strong analytical skills with the ability to adapt quickly to emerging technologies and simplify complex workflows.
Agile Collaboration- Ability to work independently and cross-functionally in agile environments with strong communication skills.
Technical Foundation- Bachelor's degree in Computer Science, Data Analytics, Software Engineering, Data Engineering, or equivalent professional experience.
Continuous Learning Mindset- Demonstrated curiosity and commitment to professional development and supporting colleagues.
Bachelor's degree or master's degree in computer science, data analytics, software engineering, data engineering, artificial Intelligence or equivalent experience in the field
Nice to Have:
AI Agent Development & Deployment- Experience in design, build, and implement AI agents that automate routine processes, reduce manual effort, and drive measurable improvements in operational efficiency and cycle time.
Software engineering best practices and user-centered design thinking.
Experience with alternative database technologies (NoSQL, graph databases, vector databases).
Proficiency with public cloud platforms (Azure, AWS, GCP, OpenShift) and multi-cloud/hybrid environments.
CI/CD pipeline and DevOps tools experience.
Mobile or web development background.
Financial services industry experience with knowledge of marketing, product management, sales, finance, and risk frameworks.
What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
We are proud to offer a comprehensive compensation program which includes a competitive salary, bonuses, flexible benefits.
Leaders who support your development through coaching and managing opportunities
We promise you'll work in an inclusive, collaborative, progressive, and high-performing team.
Job Skills
AI Agents, Amazon Web Services (AWS), Business Intelligence Tools, Data Analysis, Data ETL, Data Insights, Data Pipelines, GitHub, Jupyter Notebooks, Python (Programming Language), Structured Query Language (SQL)Additional Job Details
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
Employment Type: FULL_TIMEAbout Royal Bank of Canada
Sourced by ZipRecruiter
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
Toronto, Ontario, CA