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Data Implementation Analyst Jobs in Ontario (NOW HIRING)

Marinabaysands

Work closely with Business Intelligence, data warehouse, IT and smart IR teams to implement analytical solutions. Job Requirements Education & Certification * Degree in Business Analytics, Applied ...

CarePartners

Senior Data Analyst

Waterloo, ON

CA$80K - CA$95K/yr

Design, develop, and implement reporting solutions using tools such as AlayaCare Data Exploration to support analysis and decision-making. * Develop and support AI-enabled tools that help identify ...

Forma.ai

Director, SPM Implementation

Toronto, ON

Director, SPM Implementation About the Team The Customer Operations team partners with new and ... analytical tools for data profiling, segmentation, and modeling Additional Job Info: * This ...

Teranet

Senior Data Analyst

Toronto, ON

Implement segmentation and categorization techniques to build dynamic solutions tailored to use case * Demonstrate curiosity by exploring datasets, conducting exploratory data analysis to uncover ...

Bmo

Senior Data Analyst

Toronto, ON · Hybrid

CA$69K - CA$129K/yr

Data Analytics & Reporting Hybrid Work Model: This role operates in a hybrid work environment, with ... Documents data flow, systems and processes to improve the design, implementation and management of ...

New

Manulife

Senior Data Analyst

Toronto, ON · Hybrid

Partner with the Data Governance group to establish appropriate standards and methodologies, template and tools related to documenting, analyzing and testing data - work with management to implement ...

Omers

Data Operations Analyst (Contract)

Toronto, ON · On-site

CA$72K - CA$108K/yr

As a Data Operations Analyst, Investment Data Operations, you will help deliver accurate, timely ... implementation support. * Build strong working relationships across Investment Teams, Risk ...

Metergy Solutions

Meter Data Analyst

Toronto, ON · Hybrid

CA$54K - CA$66K/yr

Determine and implement appropriate actions to resolve. * Identify meter data system anomalies or ... Analyzing and auditing data while resolving any issues with both technical and non-technical ...

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All JobsData Implementation Analyst JobsData Implementation Analyst Jobs in Ontario

Data Implementation Analyst information

What is the difference between Data Implementation Analyst vs Data Analyst?

AspectData Implementation AnalystData Analyst
Primary FocusImplementing data solutions, integrating systems, ensuring data accuracy during deploymentAnalyzing data sets, generating reports, identifying trends and insights
Skills & CertificationsData management, SQL, ETL tools, project managementData visualization, statistical analysis, Excel, SQL
Work EnvironmentIT teams, data engineering, project-based tasksBusiness units, reporting teams, analytics departments

The Data Implementation Analyst primarily focuses on deploying and integrating data systems, ensuring data quality during implementation. In contrast, the Data Analyst concentrates on analyzing existing data to generate insights and reports. Both roles require strong SQL skills and familiarity with data tools, but their core responsibilities and work environments differ significantly.

What are some common challenges faced by data implementation analysts during new client onboarding?

Data Implementation Analysts often encounter challenges such as integrating complex client data from various sources, ensuring data accuracy, and adapting to unique client requirements. They must communicate effectively with both technical teams and client stakeholders to clarify data specifications and resolve discrepancies quickly. Time management is critical, as onboarding projects may have tight deadlines and require simultaneous coordination across multiple teams. Successful analysts leverage strong analytical skills and attention to detail to deliver smooth, accurate implementations.

What are the key skills and qualifications needed to thrive as a data implementation analyst, and why are they important?

To thrive as a Data Implementation Analyst, you need strong analytical abilities, knowledge of data management principles, and a relevant degree such as in computer science or information systems. Familiarity with data integration tools, SQL, ETL processes, and sometimes certifications like CBIP (Certified Business Intelligence Professional) are typically required. Exceptional problem-solving skills, attention to detail, and effective communication help you understand client requirements and collaborate with stakeholders. These skills ensure smooth data migrations, accurate implementations, and successful project outcomes in data-driven environments.

What is a data implementation analyst?

A Data Implementation Analyst is a professional who specializes in integrating, configuring, and ensuring the successful deployment of data solutions for clients or organizations. They work closely with both internal teams and external stakeholders to understand data requirements, map data sources, and oversee the transfer and validation of data. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and providing technical support during the implementation phase. Strong analytical, technical, and communication skills are essential for this role.

What are popular job titles related to Data Implementation Analyst jobs in Ontario?

For Data Implementation Analyst jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Implementation Analyst jobs in Ontario look for?

The top searched job categories for Data Implementation Analyst jobs in Ontario are:

What cities in Ontario are hiring for Data Implementation Analyst jobs?

Cities in Ontario with the most Data Implementation Analyst job openings:

Data Implementation Analyst jobs near you
Infographic showing various Data Implementation Analyst job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution.

Associate Analyst/Analyst/Senior Analyst, Customer Analytics

Marinabaysands

Full-time

Re-posted 12 days ago

Job description

WE TAKE YOU ABOVE BEYOND

Take your passion to the next level and work alongside other masters of their craft to build a fulfilling and rewarding career at Marina Bay Sands.

Job Responsibilities

The team is tasked with developing creative approaches to data sourcing, deriving new variables and factoring in qualitative insights to deliver high-impact business solutions.

Key areas of focus, include:

  • Leverage customer data and analytics to acquire, develop, and retain high-value customers more profitably and effectively.

  • Work with the sales team to optimize structure, communication, and coverage.

  • Develop a robust behavioral and needs-based segmentation to create more relevant, actionable, and personalized campaigns, offers, and engagements.

  • Collaborate with the marketing technology team to enhance CRM and real-time rules capabilities.

Analytics:

  • Apply advanced analytics, modelling and machine learning on customer behavior, CLV prediction and profitability analysis.

  • Enhance our 360 view of our most valuable guests and create actionable segmentations of customers across the entire Integrated Resort.

  • Work closely with Sales and Marketing departments to:
    1) Monitor the business and highlight trends and opportunities.
    2) Translate modelling results and segmentations into business strategy via data/dashboards with impactful visualization.
    3) Design data-driven personalized offers and A/B testing.
    4) Evaluate the effectiveness of our marketing strategies.

  • Work closely with Business Intelligence, data warehouse, IT and smart IR teams to implement analytical solutions.

Job Requirements

Education & Certification

  • Degree in Business Analytics, Applied Mathematics, Statistics or other analytical fields preferred.


Experience

  • 1 to 2 years of practical experience in business analytics, customer analytics or marketing analytics preferred.

  • Minimum 3 - 5 years of practical experience in business analytics, customer analytics or marketing analytics or Masters in any analytical field for Analyst.

  • Experience building and implementing predictive models and machine learning will be an added advantage.


Other Prerequisites

  • Programming skills using analytical tools such as Base SAS, SAS EG, SQL, R or Python is required.

  • Proficient in data visualization tools, such as Tableau preferred.

  • Ability to process massive amounts of data and complete critical projects in a correct, accurate and timely manner.

  • Strong logical thinking, data analysis and problem-solving skills.

  • Excellent communication and presentation skills.

  • Passionate about data, customers, and building your career with Marina Bay Sands.

Marina Bay Sands is committed to building a diverse, equitable and inclusive workforce, providing equal opportunities as we grow our talent base to match our growth ambitions in Singapore.Our employees are committed to adhere to and abide by all rules, regulations, policies and procedures, including the rules of conduct and business ethics of the Company.

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