Role Description Connections Foodservice is looking for a Senior Data Strategist who lives at the intersection of analytics and storytelling. In this role, you'll be the analytical backbone of our B2B foodservice marketing operation — transforming raw data from platforms like GA4, Salesforce, and HubSpot into clear, compelling narratives that drive smarter decisions for our clients and internal teams. This isn't a purely heads-down analyst role. We need someone who can pull the numbers and walk into a (virtual) room with clients or internal leadership and explain what they mean, why they matter, and what we should do next. You'll own day-to-day marketing performance reporting while also acting as a thought leader — evaluating and championing new tools, methodologies, and visualization approaches (like Tableau) that push our reporting capabilities forward. If you're energized by the challenge of making complex data accessible, you're curious about the foodservice industry, and you want a role where your strategic voice is genuinely heard, this is the seat for you. Responsibilities - Reporting & Analytics - Build, maintain, and optimize marketing performance reports using Google Analytics 4 (GA4), pulling actionable insights specific to B2B foodservice audiences and campaign objectives. - Develop and manage dashboards and reports within Salesforce and HubSpot to track pipeline influence, lead quality, campaign attribution, and sales-marketing alignment. - Synthesize data across multiple platforms into unified, cohesive performance snapshots for both internal stakeholders and external client reporting. - Data Storytelling & Strategy - Translate complex datasets into clear, narrative-driven reports that connect marketing and communication initiatives to business outcomes — not just metrics. - Present findings to clients and internal teams with confidence, framing data within the broader context of B2B foodservice marketing strategy — acting as a trusted analytical partner on both sides. - Develop a consistent reporting voice and standard for how Connections Foodservice communicates marketing performance internally and to clients. - Tools, Innovation & Thought Leadership - Serve as an internal champion for data visualization best practices, leading the adoption and development of Tableau (or comparable platforms) to elevate how we present data. - Proactively research, evaluate, and recommend emerging tools and technologies that improve reporting accuracy, efficiency, and insight depth. - Stay current on trends in B2B marketing analytics, CRM reporting, and foodservice industry benchmarks — bringing outside perspective to internal strategy conversations. - Cross-Functional Collaboration - Partner closely with account, creative, and marketing strategy teams to ensure data is informing — not just documenting — campaign decisions. - Collaborate with sales leadership to align marketing metrics with CRM data, improving visibility into full-funnel performance. - Help define KPIs and measurement frameworks at the outset of campaigns and initiatives, not just after the fact. - Day-to-Day Operations - Manage a regular cadence of weekly, monthly, and quarterly reporting deliverables. - Maintain data hygiene and integrity across reporting platforms, flagging discrepancies and working cross-functionally to resolve them. - Document processes, reporting templates, and data governance standards to build institutional knowledge and scalability. Qualifications - 4–7 years of experience in a marketing analytics, data strategy, or similar role — preferably in an agency or B2B environment. - Hands-on proficiency with GA4, HubSpot, and Salesforce reporting and analytics. - Experience building dashboards and visualizations in Tableau or a comparable BI tool (Power BI, Looker, Datorama/ Marketing Cloud Intelligence tools, etc.). - Strong ability to communicate data findings to non-technical audiences — written, visual, and verbal. - Experience in or exposure to the foodservice, CPG, or B2B marketing space is a plus. - Exceptional written and verbal communication skills, with the ability to present data findings confidently to clients and leadership in a fully remote environment — through video calls, written reports, and async deliverables. - Self-directed with a track record of identifying opportunities for improvement and following through independently. - Comfortable operating in ambiguity and building structure where it doesn't yet exist.

Role Description This internship will be remote work with the Quality Improvement (QI) and Real-World Evidence team at T1D Exchange. It will engage with real-world data platforms and leverage clinical datasets, using implementation science approaches to support population health research. This is an excellent opportunity for a student to work closely in the healthcare space while collaborating with a dynamic, highly interdisciplinary team. The intern will develop skills in quantitative and predictive data analysis using big data to advance diabetes care. What you'll do - Assist in developing statistical analysis plans for manuscripts and abstracts - Conduct predictive analytics and develop machine learning models to generate insights from electronic medical records from our QI database - Identify and propose new areas of study aligned with the organization’s mission, informed trends in the type 1 diabetes community and internal data - Assist in the preparation of a manuscript or abstracts for presentation at scientific conferences Qualifications - Currently enrolled in a bachelor’s or master’s program in Engineering, Computer science, Mathematics, or related field. - Practical knowledge in predictive analytics including conducting linear and logistic regressions - Experience coding in systems like R or Python - Experience with data management and relational databases - Ability to clearly present data summaries using visual formats (graphs, figures, and tables) - Strong written and verbal communication skills

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results. How you will contribute You will: - Execute the business analytics agenda in conjunction with analytics team leaders - Work with best-in-class external partners who leverage analytics tools and processes - Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance - Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: - Using data analysis to make recommendations to analytic leaders - Understanding in best-in-class analytics practices - Knowledge of Indicators (KPI's) and scorecards - Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus Additional Job Description Purpose of Role The Visualization & Semantic engineer will be an expert in designing, implementing, and optimizing the Semantic Layer for business self-service consumption as well as project implementation. A successful candidate will be able to provide deep expertise and capacity to share their knowledge through training and awareness sessions to multiple audiences. Main Responsibilities - You will work closely with all Mondelez D&A projects to guide, control, and build efficient Data Solutions that are Self-Service ready: - Create / design templates and best practices related to Semantic, data modelling, & Visualization. - Train the trainer: You will be the lead Power BI & Semantic trainer. - Consult & help with project execution as the key point for expertise. - Keep current & test innovation & new functionalities to validate them for production usage. - Participate in the semantic & visualization Community of Practice success. Career Experiences Required & Role Implications - Bachelor's degree, Master's in an IT-related field preferred - 5+ years' experience in Consulting or IT, leading the implementation of data solutions - 3-5 years of experience around the Semantic Layer, Data Models, and KPI calculation. - Demonstrate prior experience leading complex data design with multi-dimensional models and custom aggregations. - 2-3 years Power BI / Dax experience, GCP/Big Query data sources is a plus. - Understanding of data structures and algorithms with strong problem-solving skills. - Experience solving Data Analysis Challenges, such as Performance, References, Quality, integration, GCP, and/or Azure data solutions certification is a plus. - Understanding of Machine Learning and statistical forecasting activity is a plus. No Relocation support available Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. Overview of the RolePagerDuty is looking for a broadly talented Field Enablement Specialist, a strong "Utility Player" to join our Go to Market (GTM) Enablement team. You are a rare hybrid: part Data Scientist, part Instructional Designer, and part Operational Strategist. While the Principal team sets the vision, you are the one who builds the systems, models the impact, and ensures our knowledge ecosystem scales through automation. This is a role for someone who thrives on variety. One day you'll be building a revenue impact model in Python or SQL; the next, you'll be using Generative AI to automate a global GTM communications launch or designing a high-fidelity learning module. You don't just "do training" - you optimize the entire enablement lifecycle through data and innovation. Key ResponsibilitiesData Modeling & Revenue Analytics (The "Data Science" Core): - Build and maintain sophisticated data models that link enablement activity to hard revenue outcomes (e.g., win rates, ARR, pipeline growth and deal velocity). - Leverage your data science background to identify "readiness gaps" before they impact the forecast, providing leadership with actionable field insights. - Own the Tableau/Power BI enablement stack, turning raw Salesforce data into a narrative of field performance, working with existing team members to build out leading indicators of sales efficiency. AI Innovation & Efficiency at Scale: - Identify manual bottlenecks in the enablement process and eliminate them using AI agents, Gong and LLM-powered tools. - Use generative AI to turn complex product documentation into bite-sized, role-based learning assets (video, text, and interactive sims). - Architect our field content structure to ensure the field has a "single source of truth" that is just-in-time, on demand, searchable, modular, and AI-optimized. Multi-Disciplinary Program Delivery: - Where needed, in support of our Principals, rapidly develop high-quality, multi-modal content that adheres to adult learning principles while being engaging and modern. - Help our centralized Corporate Communications function manage the drumbeat of field communications, ensuring product updates and sales plays are communicated clearly, concisely, and through the right channels (Slack, Email, Video, All Hands/Town Hall Meetings). - Work cross-functionally with Product, Marketing, Biz Ops and Sales Ops to ensure enablement initiatives are synchronized with the broader business calendar. Basic Qualifications: - 2+ years in a high-growth Enablement, Sales Ops, or Revenue Ops function. You've seen what "scale" looks like and know how to build for it. - Degree in Data Science, Business Analytics, or a related technical field is required. You are comfortable with data modeling and statistical analysis. - Proficiency in SQL, Python, or R for data manipulation; mastery of Tableau/Power BI. - Deep experience with Salesforce (SFDC) and Enablement Platforms (e.g., Highspot, Seismic, or Docebo). - Demonstrated ability to use ChatGPT/Claude/Copilot for prompt engineering, content automation, and process efficiency. - Exceptional writing and visual design skills. You can turn a 20-page product brief into a 2-minute "What You Need to Know" video or deck. - Highly organized with experience using Asana, Monday.com, or Jira to manage multiple overlapping workstreams. - Ability to travel domestically and internationally, but no more than 20% of work days in a year. Preferred Qualifications: - Experience building "Knowledge Graphs" or advanced content tagging schemas for enterprise-scale organizations. - Familiarity with Value Selling, MEDDPICC, and Reverse Close Plans. - Experience with Figma, Canva, or Synthesia for high-end, rapidly developed visual communication. Why This Role?This is a high-visibility "accelerator" role. You will have a front-row seat to how a global GTM engine runs, with the autonomy to experiment with the latest AI tools and the responsibility of proving the ROI of the entire department. The base salary range for this position is 75,000 - 125,400 USD. This role may also be eligible for bonus, commission, equity, and/or benefits. Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience. Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site. Your package may include: - Competitive salary - Comprehensive benefits package - Flexible work arrangements - Company equity* - ESPP (Employee Stock Purchase Program)* - Retirement or pension plan* - Generous paid vacation time - Paid holidays and sick leave - Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO - Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)* - Paid volunteer time off: 20 hours per year - Company-wide hack weeks - Mental wellness programs *Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. Go behind-the-scenes on our careers site and @pagerduty on Instagram. Additional Information PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy. PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs. PagerDuty uses the E-Verify employment verification program.