Data Scientist And Analytics Specialist Jobs

Experience with data warehousing/ETL processes and database management systems such as PostGres, MYSQL, and SQL.

Work closely with stakeholders to understand their analytics requirements and develop solutions to meet their specific needs.

Minimum 2 years of experience using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations.

Strong Experience in extracting, preparing, and analyzing large data sets (>100 million records)

Competitive salary and vacation benefits

Conduct in-depth data analysis to identify trends, patterns, and anomalies, and translate findings into meaningful business insights.

Organizational and time management skills;

Strong interpersonal skills and ability to develop relationships with the scrum team members and cross-functional teams;

Experience with Observability data (logs, metrics, and traces)

Experience with automotive related data (e.g., warranty and diagnostics)

Experience with Big Data using Spark/Scala/Hadoop/Hive

Present complex information using data visualization techniques

Coordinate and deliver support across other IDEAWORKS Centres with data analytics requirements.

Advanced knowledge of database design and operation (SQL and NoSQL).

Technical lead for diverse industry projects for EPIC; hand-on software development.

Interact with industry partners as key technical contact.

Oversee junior staff and students.

A University degree related to computer engineering, software development, electrical or mechanical engineering.

Collaborate with data engineers to access data and explain data requirements

Must be comfortable with changing requirements and priorities

Experience with commercial aspects of the Life Sciences industry

Experience working with Software as a Service and/or enterprise products

Hands-on experience building models with deep learning frameworks (Tensorflow or similar)

Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner

Proven hands-on experience with Google Analytics, Looker Studio, and Google Tag Manager.

Prior experience gathering data requirements and providing data-driven recommendations.

Identify key performance indicators (KPIs) and metrics relevant to the business objectives and translate them into data requirements.

Analyze data trends, patterns, and user behavior to deliver actionable recommendations that drive business growth and optimize digital experiences.

Stay up-to-date with industry trends, emerging analytics technologies, and best practices to drive innovation and improve analytical capabilities.

Bachelor's degree or equivalent experience in Computer Science, Data Science, Statistics, Business Analytics, or related fields.

Three years of relevant experience in credit risk or portfolio management

Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis

Manage collections analytics, performance monitoring and strategy evaluation routines

Strong collaboration and communication skills

Experience with statistical software packages such as R or SAS

Experience manipulating large and complex databases

The proposed resource should have demonstrated experience with change management.

The proposed resource should have Project Management Professional (PMP) Certification

The proposed resource must have a minimum combined years of relevant education and work experience in similar roles.

The proposed resource should have the ability to manage stress. requirement.

The proposed resource should have the ability to manage conflict. requirement.

Resource must have experience in Data Analytics or Data Scientist roles. Experience must be applicable to this role.

M3. The proposed resource must have demonstrated experience with relational database modeling techniques.

Duration: 5- months (With extension)

*Only Canadian Citizens or PR can apply*

Responsibilities may include but are not limited to:

Collect, consolidate, execute reliability checks of D&T data

Partner with stakeholders to proactively identify opportunities that support D&T transparency increase

Consolidate and structure data from multiple data sources into easy-to-use data visualizations & dashboards

Build dashboard to deliver impactful and actionable insights

Support end users & resolves data issues/questions

* Strong economic and operational forecasting knowledge and experience.

* Gathering and documenting client requirements.

* Previous experience in Data Analytics or as a Data Scientist.

* Strong skills in data engineering, machine learning, computer programming, and data warehousing.

* In-depth knowledge of statistical techniques and high-performance computing.

* Experience in developing operational forecasting models.

Minimum 8 years of direct work experience with process control systems, industrial automation systems and process data management

Experience with management of large time-series data sets

Excellent project management, scheduling, and time management skills

Develop, retain, and steward the strategy and roadmap for digital capability growth within the data management and analytics domains

Promote data management and data governance philosophies within the DSM organization

Deep technical understanding of DCS technologies, data historians, data infrastructure, process automation, cloud solutions, data engineering and data utilization /management

Minimum 8 years of direct work experience with process control systems, industrial automation systems and process data management

Experience with management of large time-series data sets

Excellent project management, scheduling, and time management skills

Develop, retain, and steward the strategy and roadmap for digital capability growth within the data management and analytics domains

Promote data management and data governance philosophies within the DSM organization

Deep technical understanding of DCS technologies, data historians, data infrastructure, process automation, cloud solutions, data engineering and data utilization /management

Support, maintain and enhance International Banking Infor Omni Channel campaign management solution (Epiphany) and Customer centric Caribbean data mart

Manage user access to these reports.

Strong knowledge of Microsoft SQL Server ecosystem Data Tools including SSMS, SSIS, SSAS and Visual Studio is a must.

Hands-on experience in ETL and query tools including SAS, T-SQL, SSIS, "dbVisualizer" will be a plus.

Experience in Atlassian Jira/Confluence, GIT, TFS/Azure DevOps

Proven interpersonal, analytical and problem resolution skills

Strong organizational and problem-solving skills and time management

Technical proficiency with data and databases gained through education and/or business experience.

Knowledge and experience in data preparation, data analysis, and database design.

Partner with business analysts and cross-functional stakeholders to understand requirements for reporting needs.

Strong analytical and trouble shooting skills, with the ability to adapt and translate technical concepts in terms of business impact.

Some work or school experience working with SQL with ability to utilize SQL to perform exploratory data analysis.

Has accomplished desired results with the skillful application of proven management principles.

Report regularly to the Safety Quality and Performance Management Committee of the Board.

A “systems thinker” with the intellectual depth and experience to lead change in a large, complex organization.

Highly skillful at listening, engaging and consulting with diverse groups of stakeholders.

Business acumen to effectively manage the dynamics of the organization and healthcare community.

Comprehensive health benefits package, including MSP, extended health and dental and municipal pension plan

Proven experience as a Salesforce Administrator, including user management, customization, and reporting.

Generate regular reports for management and department heads.

Bachelor's degree in a relevant field such as Data Science, Business Analytics, or Information Management.

Proficiency in data management tools such as SQL, Excel, and data visualization tools (Tableau, etc.).

Collaborate with stakeholders to understand data requirements and deliver accurate reports.

Manage user accounts, profiles, and security settings.

Strong experience, knowledge of, and/or keen interest in Fintech, Insurtech, or risk-based products

Open communication with management and company leadership

Strong creative problem-solving skills and critical thinking competencies

Experience with data visualization tools (Tableau, Amplitude, Big Query)

Initiate, develop, and maintain data pipelines that power our decision making

Measure business performance by identifying and refining KPI metrics and creating reporting frameworks to continuously monitor them

We value our people and our reputation

We are locally dedicated with international scale

We are future focused and challenge the status quo

We foster collaboration in everything we do

We have an empowering culture and hold ourselves accountable

Strong organizational and project management skills.

Highly recommended: Google Tag Manager/Adobe Launch certification.

Experience in website tagging using Google Tag Manager and/or Adobe Launch.

Prior experience with the Google Marketing Platform, including Campaign Manager, Google Ads, and DV 360, highly regarded.

Implement and validate marketing tags across multiple websites and apps using Adobe Launch and Google Tag Manager.

Utilize Adobe Launch and Google Tag Manager to establish detailed event tracking in both Google Analytics and Adobe Analytics.