Data Analyst (5-7 Years) To Design And Deliver End-To-End Analytics Solutions Using Python, Sql, Clo

Data Analyst (5–7 years) to design and deliver end-to-end analytics solutions using Python, SQL, cloud-based AI/ML platforms, and Power BI 58972Our financial services client is seeking a
Data Analyst III (5–7 years) to design and deliver end-to-end analytics solutions using Python, SQL, cloud-based AI/ML platforms, and Power BI
Drive an AI-focused initiative with a strong reporting emphasis for a leading financial institution. This role delivers end-to-end analytics solutions across data science, advanced analytics, and business intelligence using Python, SQL, cloud-based AI/ML platforms, and Power BI. Join a collaborative team of 6 data scientists and 1 BI specialist with a 2-week training period in a hybrid model (4 days onsite) in Toronto. This is a 12-month contract with potential extension and conversion based on business needs and performance.
Contract, Toronto, Hybrid, Working 4 days on site.
160 Front Street West Corporate
12 months
Must Haves
SQL
for complex queries, stored procedures, and data extractionCloud-based data and AI/ML platforms ( Azure ,
AWS ) with production model deployment and managementPower BI
for visualizations and dashboards5–7 years of experience
Nice to Have
Proficiency in TableauHands-on machine learning techniques: supervised, unsupervised, reinforcement learning, and causal inferenceBuilding, training, and deploying ML models including pipelines, feature engineering, hyperparameter tuning, and model explainability
Responsibilities
Apply statistical analysis, machine learning, and advanced analytics techniques to identify trends, risks, and optimization opportunitiesDesign and build analytical models, experimentation frameworks, and data-driven solutions to address complex business problemsDevelop and maintain curated datasets, feature layers, and analytical data models to support modeling and reporting use casesDeliver insights through interactive dashboards (Power BI), reporting solutions, and executive-ready storytellingPartner with stakeholders to define analytical requirements and design data-driven decision frameworksEnsure data quality, validation, and governance across analytical models and BI outputsOperationalize analytics through automated pipelines, monitoring solutions, and repeatable reporting processes
Our financial services client is seeking a
Data Analyst III (5–7 years) to design and deliver end-to-end analytics solutions using Python, SQL, cloud-based AI/ML platforms, and Power BI
Drive an AI-focused initiative with a strong reporting emphasis for a leading financial institution. This role delivers end-to-end analytics solutions across data science, advanced analytics, and business intelligence using Python, SQL, cloud-based AI/ML platforms, and Power BI. Join a collaborative team of 6 data scientists and 1 BI specialist with a 2-week training period in a hybrid model (4 days onsite) in Toronto. This is a 12-month contract with potential extension and conversion based on business needs and performance.
Contract, Toronto, Hybrid, Working 4 days on site.
160 Front Street West Corporate
12 months
Must Haves
Python
(Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch,
PySpark )SQL
for complex queries, stored procedures, and data extractionCloud-based data and AI/ML platforms ( Azure ,
AWS ) with production model deployment and managementPower BI
for visualizations and dashboards5–7 years of experience
Nice to Have
Proficiency in TableauHands-on machine learning techniques: supervised, unsupervised, reinforcement learning, and causal inferenceBuilding, training, and deploying ML models including pipelines, feature engineering, hyperparameter tuning, and model explainability
Responsibilities
Apply statistical analysis, machine learning, and advanced analytics techniques to identify trends, risks, and optimization opportunitiesDesign and build analytical models, experimentation frameworks, and data-driven solutions to address complex business problemsDevelop and maintain curated datasets, feature layers, and analytical data models to support modeling and reporting use casesDeliver insights through interactive dashboards (Power BI), reporting solutions, and executive-ready storytellingPartner with stakeholders to define analytical requirements and design data-driven decision frameworksEnsure data quality, validation, and governance across analytical models and BI outputsOperationalize analytics through automated pipelines, monitoring solutions, and repeatable reporting processes
Disclaimer:AI may be used in evaluating candidates.This posting is for an existing vacancy.#J-18808-Ljbffr