Senior Analyst, Marketing Analytics to serve as a strategic analytics partner to Marketing leadership, transforming complex marketing and business data into actionable insights that influence media strategy, investment decisions, customer acquisition, and business growth.
Compensation
Base Compensation: $89,000.00 - $145,000.00 Annually
Responsibilities
Serve as a strategic analytics partner to Marketing and Media leadership, delivering insights and recommendations that influence media strategy, investment allocation, customer acquisition, and broader business decisions.
Establish and own monthly paid media performance dashboard & develop leadership-ready narratives, and strategic recommendations that synthesize cross-channel results, business drivers, emerging trends, risks, and opportunities into clear recommendations for leadership.
Proactively identify performance opportunities and emerging trends, moving beyond reporting what happened to explain why it happened, what it means for the business, and what actions should be taken next.
Lead the development and implementation of forecasting and scenario-planning models that project traffic, leads, and business outcomes under varying media investment scenarios.
Translate forecasting outputs into strategic recommendations for senior leadership, clearly articulating expected business impact, investment opportunities, risks, and trade-offs.
Requirements
Bachelor's degree in Analytics, Statistics, Economics, Marketing, Mathematics, Business, Data Science, or a related field
Entry level/early career professional focused on combustion and emissions science, applying thermal and fluid sciences to product and system design and validation.
Responsibilities
Investigates product, system, and/or technology problems related to thermal and fluid sciences
Applies and supports process improvements using tools such as GT-Power, Fluent, Converge, Concerto, CyberApps, CDAT, Mach, DARTS, Calterm, ECM calibration tool, Emissions data system
Obtains input and negotiates with stakeholders to support project decisions
Documents results and recommendations
Engages in problem resolution for moderately complex components
Requirements
Bachelor's degree in Engineering or STEM field
Master's degree may be required for select roles
Nice to have: Experience with Python and/or MATLAB
Nice to have: Strong analytical and problem-solving skills
Nice to have: Understanding of controls, diagnostics, or statistics
Leads the development and implementation of the Model-Informed Drug Development (MIDD) strategy for drugs and other therapeutic agents in clinical development, in partnership with Clinical Pharmacology and other quantitative functions.
Compensation
Cambridge Crossing: $209,250 - $253,565
Responsibilities
Partner with the Clinical Pharmacology lead to develop the MIDD strategy and define the PMx plan for assigned assets.
Lead integration across quantitative disciplines to develop and execute a coherent modeling and data strategy.
Lead the planning, execution, interpretation, and reporting of formal PMx analyses supporting clinical study reports, health authority submissions, and responses to regulatory questions.
Translate complex modeling results into clear, actionable recommendations that inform asset strategy, development plans, and governance decisions.
Serve as the MIDD subject matter expert, partnering with Clinical Pharmacology and other quantitative functions to influence development decisions for therapeutic agents.
Requirements
Advanced degree in a relevant scientific or quantitative field, such as an MS, PhD, or PharmD
Nice to have: mechanistic modeling
Nice to have: Quantitative Systems Pharmacology
Nice to have: Physiologically Based Pharmacokinetic modeling
Lead discovery, blueprinting, and process-design workshops, translate Sustainability & ESG needs into functional requirements, and enable self‑service analytics and AI‑enabled decision support for Hershey’s Sustainability strategy.
Compensation
The anticipated base salary range for this role is $91,120 to $113,900 per year.
Responsibilities
Lead discovery, blueprinting, and process‑design workshops
Translate Sustainability & ESG needs into functional requirements, use cases, user stories, business rules, controls, and acceptance criteria
Maintain requirements traceability and support prioritization, scope, functional decisions, risks, dependencies, and enhancement backlogs
Connect ESG business teams with Information Systems, data engineering, architecture, analytics, and implementation partners
Develop and lead user acceptance testing, coordinate business validation, and confirm delivered solutions meet agreed requirements
Requirements
Bachelor's degree in Business, Sustainability, Information Systems, Data Analytics, Supply Chain, Environmental Science, or a related field
Nice to have: knowledge of ESG frameworks and regulations such as the GHG Protocol, Extended Producer Responsibility, CSRD, climate‑related reporting, and human rights and environmental due diligence
Nice to have: experience with carbon accounting, responsible sourcing, packaging, supplier data, traceability, or ESG reporting
Assist in executing assigned audit programs, evaluating internal controls, applying AI tools, preparing audit findings, and supporting audit reporting within Scotiabank’s Dublin-based Internal Audit team.
Responsibilities
Assist in executing assigned audit programs under the direction of the Team Officer in Charge (OIC) including evaluating design and operation effectiveness of internal controls
Ensure audit results are gathered and assess the impact of the findings on the internal control framework
Explore and apply automation and Artificial Intelligence (AI) tools to support audit testing, analyse data and identify opportunities to perform audit work more efficiently
Assist with audit reporting to ensure audit reports are written to a consistent high standard and are finalised within established department metrics and in accordance with the Group Internal Audit Methodology
Assist the OIC and other audit team members on a variety of audit tasks
Requirements
Bachelor's degree (penultimate year undergraduate student)
Teach and develop curriculum for Computer Information Technology programs at San Jacinto College South Campus.
Responsibilities
Stay up-to-date with latest developments in IT, cybersecurity, and AI
Demonstrate and uphold high academic and professional standards
Provide constructive feedback to students
Teach courses at times and locations that meet student needs
Provide access to students through conference hours and electronic communications
Requirements
Bachelor's degree in Information Technology, Cybersecurity, Artificial Intelligence, or a related discipline
Nice to have: Master’s degree in Information Technology, Cybersecurity, Artificial Intelligence, or a related discipline
Nice to have: College teaching experience
Nice to have: Five years of full-time professional experience in IT
Nice to have: Current industry certifications such as CCNA, CISSP, CISA, CISM, CCSP, Azure AI Engineer Associate, Google Cloud ML Engineer, AWS ML Engineer
Lead consulting engagements for retail, consumer, manufacturing, and industrial clients, managing workstreams and delivering data-driven insights to drive value creation and operational improvement.
Owns development and delivery of consumer learning plans for assigned brands, businesses, categories, or strategic workstreams within the Tyson Foods portfolio.
Responsibilities
Translate business priorities into focused learning plans with clear decisions, action standards, timing, and investment requirements.
Ensure the consumer learning agenda is completed to address business objectives by working with cross-functional teams in Innovation, Marketing, Business Units, R&D, Sales, suppliers, agencies, and consultants.
Utilize best-in-class research practices as well as new and innovative methods to execute primary research; source syndicated scanner and panel data when relevant.
Independently lead complex qualitative, quantitative, and integrated research programs from problem definition through business recommendation.
Manage suppliers, project quality, timing, budget, and stakeholder alignment across multiple initiatives.
comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).
Flexible Time Off (FTO).
11 paid company holidays each year.
160 hours of paid vacation annually for new hires (subject to manager approval).
Nice to have: familiarity with SAP, Power BI, Databricks, Azure data platforms, Workiva, Watershed, Azure DevOps, or comparable platforms
Nice to have: experience with data governance, data products, master data, SQL, visualization, analytical modeling, conversational analytics, or low‑code/no‑code tools
Develop holistic, data-driven views of client performance to identify growth and cost opportunities.
Build models, frameworks, and business cases to inform decisions and quantify impact on P&L and balance sheet.
Assess and improve business processes, operating models, and enabling technology across functions such as planning, forecasting, procurement, supply management, manufacturing, inventory, warehouse, distribution, retail operations, and commercial operations.
Document business requirements and current-state processes and translate findings into clear use cases, solution designs, implementation plans, communication plans, and other client-ready deliverables.
Requirements
Bachelor's degree in economics, finance, applied mathematics and statistics, data science, engineering, or another analytics-related field
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