Lead Developer within the Transformation Office's R&D team providing technical leadership for AI‑enabled solutions supporting a strategic Fund Services transformation program.
Compensation
Salary Range: CAD $108,000 - CAD $140,000
Responsibilities
Assess business processes and identify opportunities for AI‑enabled optimization
Design architectures integrating AI capabilities with Sigma‑based analytics and reporting solutions
Enable advanced analytics and insights by combining cloud data platforms, AI services, and Sigma
Design and implement solutions using AWS services, UiPath, Databricks, and other cloud platforms
Develop and optimize machine learning models, including LLMs and conversational AI systems
Transform marketing and media data into actionable insights that drive business decisions
Responsibilities
Support marketing analytics projects through data preparation, validation, and dashboard development
Assist with data lake updates and management by loading and refreshing data, maintaining tables, and performing data hygiene and quality assurance checks
Build and maintain reports and dashboards in Power BI, Sigma, or similar business intelligence tools
Analyze marketing performance across digital, broadcast, email, CRM, and web analytics channels
Write SQL queries to extract, join, validate, and analyze marketing data from multiple sources
Requirements
Bachelor's degree in Data Analytics, Marketing, Business Analytics, Statistics, Economics, or a related field
As a Reporting & Dashboard Specialist, you will own client reporting and dashboards across their entire lifecycle, from the moment a deal is won through ongoing maintenance, optimization, and evolution as client needs grow.
Responsibilities
Own client reporting and dashboards across their entire lifecycle
Ensure reporting delivered remains accurate, aligned, and valuable over time
Connect client data sources (Meta, Google, TikTok, Amazon, GA4, Shopify) through Funnel and Fivetran
Build dashboards in Sigma from standard templates
Investigate discrepancies between platform-reported and warehouse numbers
Requirements
Degree in data analysis, marketing analytics, or a related field
The Senior Data Operations Manager owns the systems and workflows behind client reporting, campaign delivery, and month-end billing. The role resolves data issues, manages custom requests, and connects Salesforce, Fivetran, Snowflake, Sigma, and partner platforms.
Compensation
We offer a base salary of $70,000-$90,000, but that's just the starting point. This role includes a generous performance-based bonus program, plus a full benefits package, because we believe in rewarding the people who help us grow.
Responsibilities
Own and prioritize data requests based on urgency, client impact, and revenue risk.
Build and maintain Sigma workbooks, Snowflake views, data models, and supporting data assets; troubleshoot issues across Salesforce, Fivetran, Snowflake, Sigma, and downstream reporting.
Manage reporting access, user permissions, onboarding, account changes, offboarding, external Snowflake shares, and client Data Dictionaries.
Maintain synchronization between Salesforce orders and DSP campaigns; resolve reporting and month-end exceptions involving campaign data, delivery, invoices, and product setup.
Maintain partner data feeds and support new data connections as business needs evolve.
Promover productos farmacéuticos a nivel nacional, informar a los profesionales de la salud sobre nuevos tratamientos, construir relaciones sólidas de confianza, y recopilar retroalimentación.
Responsibilities
Organizar y planificar visitas estratégicas a centros de salud en diversas localidades para maximizar cobertura y efectividad.
Visitar médicos para presentar y promover medicamentos, asegurando el incremento de prescripciones mediante conversaciones efectivas.
Visitar farmacias, clínicas, hospitales y centros asistenciales para promover ventas y mantener stocks adecuados.
Establecer y mantener relaciones sólidas con profesionales de la salud que influyan en la prescripción o recomendación de productos.
Participar en jornadas médicas, congresos, charlas y actividades de integración con clientes externos.
The Cyber Threat Intelligence (CTI) team within Blackstone Security Operations identifies, tracks, and assesses cyber threats relevant to Blackstone and its portfolio companies. The Associate Threat Intelligence Analyst conducts tactical, operational, and strategic analysis to inform defensive operations, risk decisions, and executive awareness.
Compensation
Expected annual salary range: $135,000 - $170,000
Responsibilities
Monitor and analyze cyber threat activity targeting the financial sector, alternative asset management, and adjacent industries using open-source, commercial, and internal sources
Produce finished intelligence products and reports including recurring threat reporting, advisories, campaign profiles, actor dossiers, executive briefings, and visual products
Map adversary behaviors to the MITRE ATT&CK framework and maintain threat actor profiles
Extract, validate, enrich, and operationalize indicators of compromise (IOCs) to support detection engineering and incident response workflows
Leverage AI and automation tooling to scale collection, enrichment, and operationalization of intelligence
Enterprise‑level technical expert responsible for architecting complex data solutions, designing cross‑domain frameworks, and shaping the organizational data strategy.
Responsibilities
Design enterprise‑scale data platforms and solutions leveraging cloud ecosystems (Azure, AWS) and modern data platforms (Snowflake, Databricks).
Evaluate and implement emerging technologies, including AI/ML capabilities, to enhance data products and deliver measurable business value and innovation.
Apply expert‑level knowledge of data systems, cloud architectures, big data platforms, streaming technologies, orchestration tools, and enterprise integration patterns.
Optimize data ecosystems by simplifying integration patterns, improving performance, and eliminating redundancy.
Communicate and negotiate technical direction with executive leadership.
Requirements
Bachelor's in Computer Science, Engineering, or related field.
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