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Rbc Data Analyst Jobs (NOW HIRING)

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... RBC's compensation philosophy and principles recognize the importance of a highly qualified global ...

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Rbc Data Analyst information

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$34K

$82.6K

$136K

How much do rbc data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for rbc data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does an RBC data analyst do?

As an RBC Data Analyst, your day typically involves gathering and cleaning data, performing data analysis, and creating reports or dashboards for different business units. You will work closely with colleagues from various departments such as finance, marketing, or risk to understand their data needs and help drive decision-making processes. Expect to participate in team meetings, share insights, and occasionally present your findings to leadership. The work environment is collaborative, fast-paced, and focused on leveraging data to improve business performance and customer experience.

What are the key skills and qualifications needed to thrive in the RBC data analyst position?

To thrive as an RBC Data Analyst, you need strong analytical skills, proficiency with data analysis, and a relevant degree in mathematics, statistics, computer science, or a related field. Experience with tools such as SQL, Excel, Tableau, and statistical programming languages like Python or R, as well as familiarity with banking data systems, is highly valued. Attention to detail, problem-solving abilities, and effective communication are key soft skills for collaborating with stakeholders and presenting findings. These skills are crucial for accurately interpreting data, generating actionable insights, and supporting RBC's business objectives.

What is an RBC data analyst?

An RBC Data Analyst is responsible for collecting, analyzing, and interpreting data to support business decisions at the Royal Bank of Canada. They work with large datasets, use statistical tools, and create reports to identify trends and insights. Analysts collaborate with teams across the bank to optimize processes, improve customer experience, and drive strategic initiatives. Strong analytical skills, proficiency in data visualization tools, and knowledge of financial or banking data are essential for this role.

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Infographic showing various Rbc Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

SQL Data Analyst

METANLYTICS LLC

Minneapolis, MN • On-site

Other

Posted 3 days ago

New


Job description

Title: SQL Data Analyst

Location: Minneapolis, MN - Locals

Duration: Contract to Hire

Experience: 10+

NOTE: Face to face interview

Primary Responsibilities

·       Write and optimize SQL queries to extract, transform, and analyze large datasets

·       Develop and maintain databases and data pipelines

·       Create reports and dashboards to visualize data insights

·       Identify data quality issues and implement solutions

·       Collaborate with stakeholders to understand business requirements

·       Document data structures, processes, and analysis methodologies

·       Support ad-hoc analysis requests from business teams

·       Ensure compliance with data security and regulatory standards

Required Skills

·       Proficiency in SQL (complex queries, joins, aggregations, window functions)

·       Experience with relational databases (SQL Server, MySQL)

·       Design, optimize, and maintain database schemas, indexes, and query performance

·       Strong analytical and problem-solving abilities

·       Troubleshoot data issues and provide technical support to business users

·       Attention to detail and data accuracy

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