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Data Analyst Python Sql Jobs in Vancouver, BC (NOW HIRING)

Data Analyst - Burnaby, BC

Burnaby, BC · Hybrid

CA$80K - CA$95K/yr

Design and implement analytics reporting dashboards and visualizations using SQL and Power BI ... Experience in Python or PySpark * Experience working in any capacity in retail or ecommerce, ...

Use SQL to extract and manipulate data from various sources. * Perform hands-on exploration of data sets to answer business questions. * Utilize statistical analysis to identify trends, correlations ...

Senior Data Analyst, Compliance

Burnaby, BC · On-site

CA$120K - CA$150K/yr

Expert in SQL, Python or R for data exploration, validation and analysis; Working experience with DBT or Git or similar. * BI Tools: Mastery of visualization and report / dashboard building, and ...

Data Analyst II, Fraud

Burnaby, BC · Hybrid

CA$100K - CA$125K/yr

As a Data Analyst, Fraud, you will be part of Remitly's Identity & Trust Analytics Team. Your ... Proficiency with SQL and hands-on experience analyzing large datasets (Python, R, or statistical ...

Data Analyst, ReBIRD

Vancouver, BC · Hybrid

CA$71K - CA$93K/yr

As the Data Analyst, ReBIRD, your expertise in analysis and data-driven insights supports key ... Power BI, Excel, Tableau, SQL, etc.) * You have experience with data manipulation and management ...

Senior Data Engineer

Vancouver, BC · On-site

CA$110K/yr

What We're Looking For: * 5+ years of experience in data engineering, software engineering, analytics engineering, or a closely related field. * Strong proficiency in SQL and Python, with production ...

Senior Data Quality Analyst

Vancouver, BC · On-site

CA$77K - CA$112K/yr

This is a new role and will require advanced analytical skills, proficiency in SQL and Python, business process insight, and the ability to work collaboratively with data stewards and other ...

Your Mission: We're looking for a Senior Marketing Data Analyst to turn complex data into ... SQL. * Statistical Foundation : A solid grasp of statistical concepts (regression, $p$-values ...

About this position: We're looking for a Data / Analytics Co-op to join our Data team and gain ... You'll contribute to real projects using technologies such as SQL, dbt, BigQuery, Python, and ...

The Central Data Support Team (CDST) is a part of the national audit center, audit support team ... in Python) for financial analysis * SQL code scripting, including creation/implementation of API ...

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Data Analyst Python Sql information

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, 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.

What job categories do people searching Data Analyst Python Sql jobs in Vancouver, BC look for?

The top searched job categories for Data Analyst Python Sql jobs in Vancouver, BC are:

Infographic showing various Data Analyst Python Sql job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data & Reporting/Business Analyst - GFT

Royal Bank of Canada

Vancouver, BC

Full-time

Posted 19 days ago


Job description

Job Description

What is the Opportunity?

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.

What will you do?

  • 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.

What do you need to Succeed?

Must have:

  • 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

  • Adept in leveraging AI tools for faster writing of queries and scripts and impact assessment by scanning through the code

  • Adept in leveraging AI tools to auto-generate functional specs and user stories from requirements

  • Adept in leveraging AI tools to trace the problems back to their source and summarize lengthy documents to extract key insights

Nice-to-have:

  • Data Engineering / Data Science certification and/or completion of Business Analysis training courses.

  • Copilot , Git hub , Python knowledge

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.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and 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.

#LI-POST

#TECHPJ

Job Skills

Analytics, Business Analytics, Business Case Design, Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detailed Design, Detail-Oriented, Detail Oriented Tasks, Group Problem Solving, Problem Solving, Quantitative Research, Research Documents

Additional Job Details

Address:

745 THURLOW ST:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-04

Application Deadline:

2026-09-26

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_TIME