Senior Data Analyst
Senior Data Analyst
Posted on :
19-07-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
19-07-2025
Job Description
Formed in 1997 the Travel Industry Council of Ontario (TICO) regulates Ontarios travel agencies booking websites and tour operators. TICO administers the Travel Industry Act 2002 on behalf of the Ontario government.
As a consumer protection organization TICO facilitates a consumer complaints process and administers the Ontario Travel Industry Compensation Fund. By booking travel with a TICO registered company consumers have access to added protection.
At TICO we are an organization that embraces inclusion and fairness. We are committed to fostering a culture of inclusivity equity and accessibility for all. As a team we celebrate diversity in all its forms while encouraging individual growth and innovation because we feel it makes for an inspiring workplace where people are empowered and engaged.
This is a full-time position. TICO offers a hybrid working environment. The current expectation would be for the successful candidate to work onsite at TICOs office in Mississauga 1 or 2 days per week and offsite from home for the remainder of the week. TICOs typical working hours are 8:30 a.m. to 4:30 p.m. though this role is flexible.
Job purpose
We are seeking a talented individual to join our team in the role of a Senior Data Analyst with expertise in process mapping. As part of this role you will be responsible for designing and implementing data pipelines analyzing and interpreting data and mapping business processes to drive organizational efficiency and performance. This position offers a unique opportunity to work at the intersection of data engineering analytics and business process optimization.
The primary purpose of this position is to design construct maintain and optimize the data pipelines and infrastructure necessary for data generation storage and processing. The position will be responsible for building and maintaining the architecture that allows for the ingestion transformation and secure storage of large volumes of data in various formats. Also interpreting data to uncover insights and trends that can guide business decisions.
Key Competencies and Qualifications
The ideal candidate will be energetic innovative hard-working and highly knowledgeable in Office 365 and other office applications such as Adobe Pro.
Bachelors degree in Computer Science Engineering Statistics Mathematics or a related field.
Proven experience (5 years) working as a Data Engineer Data Analyst or in a similar role.
Proficiency in programming languages such as Python Java or Scala.
Strong understanding of data architecture database management and data modeling principles.
Experience with data analysis tools and techniques including SQL Python R or MATLAB.
Familiarity with data visualization tools such as Tableau Power BI or Google Data Studio.
Knowledge of process mapping methodologies such as BPMN or Six Sigma.
Excellent problem-solving skills and the ability to think critically and analytically with great attention to detail.
Strong communication collaboration and stakeholder management skills.
Ability to work independently and as part of a team in a fast-paced environment.
Duties and responsibilities
The main responsibilities and duties may include but are not limited to:
Data Engineering:
Design develop and maintain data pipelines for extracting transforming and loading (ETL) data from various sources into data lakes or warehouses.
Design and maintain data models that are optimized for performance scalability and flexibility.
Ensure data quality integrity and security throughout the pipeline by implementing validation and error-handling mechanisms.
Data Analysis and Visualization:
Collect analyze and interpret data from multiple sources to extract insights and provide actionable recommendations to stakeholders.
Perform exploratory data analysis to identify trends patterns and relationships in the data.
Develop reports dashboards and visualizations using tools such as Tableau Power BI or Google Data Studio to communicate findings effectively.
Translate data findings into actionable insights to support decision-making and business strategy.
Collect and organize data from internal and external sources including databases spreadsheets APIs and other data repositories.
Clean and preprocess data to ensure accuracy completeness and consistency resolving any discrepancies or errors in the data.
Data Interpretation and Insights:
Translate data findings into actionable insights and recommendations to support decision-making and business strategy.
Present findings and recommendations to stakeholders through written reports presentations or data storytelling sessions.
Continuously monitor and analyze data trends to identify opportunities for improvement and optimization.
Reporting Dashboarding and Quality Assurance:
Develop and maintain reports and dashboards to track key performance indicators (KPIs) and metrics.
Automate data reporting processes using tools such as Tableau Power BI or Google Data Studio.
Collaborate with stakeholders to understand reporting requirements and customize dashboards to meet their needs.
Ensure data accuracy integrity and reliability by implementing data quality checks and validation procedures.
Identify and address data quality issues anomalies and outliers to maintain data consistency and reliability.
Data Integration and APIs:
Develop APIs and data integration solutions to facilitate seamless data exchange between different systems and applications.
Security and Compliance:
Implement security measures to protect sensitive data and ensure compliance with relevant regulations.
Establish and enforce data governance policies and procedures to maintain data privacy integrity and confidentiality.
Process Mapping and Optimization:
Document and map end-to-end business processes workflows and procedures within the organization.
Identify bottlenecks inefficiencies and opportunities for improvement in existing processes.
Collaborate with cross-functional teams to analyze process maps gather requirements and recommend solutions for process optimization.
Drive process improvement initiatives by implementing changes monitoring performance and measuring outcomes.
Collaboration and Communication:
Work closely with business stakeholders and IT teams to understand data requirements and business objectives.
Communicate technical concepts and findings effectively to both technical and non-technical audiences.
Collaborate with team members to prioritize tasks manage workload and ensure timely delivery of projects.
Training and Documentation:
Maintain comprehensive documentation of all data design and configurations customizations and development processes.
Create user guides and training materials to support end-users.
Develop training materials and conduct training sessions for end-users on reports and dashboards.
Preferred Skills:
Experience with machine learning algorithms and techniques.
Knowledge of database systems and data warehousing concepts.
Certification in relevant technologies or methodologies (e.g. Tableau Desktop Specialist Google Analytics Individual Qualification
Working conditions
While the physical demands of the role are minimal for an office environment the employee must be able to demonstrate and/or accept the following:
Sitting for extended periods.
Considerable amount of time spent at the computer.
Adhere to TICOs policies and the code of conduct.
The working conditions also encompass the overall corporate culture which includes company values management style and the overall atmosphere in the workplace.
To apply
Please email your cover letter and resume to by Friday August 8 2025
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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