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Data Scientist

GDS Alliances, SAP Business Intelligence & Operations Specialist - Assistant Director - EY GDS

Buenos Aires

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Role description

The Opportunity
EY GDS Growth & Innovation enables EY’s strategic ecosystem relationships, market activation priorities and alliance-led growth programs. Within this context, the SAP Alliance is one of EY’s most strategic ecosystem relationships, helping clients transform core business processes, modernize enterprise platforms and accelerate cloud-enabled growth through SAP S/4 HANA, RISE with SAP, GROW with SAP, SAP Business Technology Platform, SAP Business AI, SAP Success Factors, SAP Ariba, SAP Concur, SAP Signavio, industry solutions, SAP Store offerings and joint go-to-market priorities. As the SAP Alliance scales across geographies, solution areas, partner programs, co-innovation priorities, pipeline motions, investments, campaigns and executive governance, the role requires strong GCC/GBS-based enablement capability that combines operational discipline, SAP ecosystem fluency, reporting governance. portfolio supports client transformation across technology, cloud, data, AI, automation, security, business applications, industry solutions and broader ecosystem-led growth priorities. As alliances scale across geographies, sectors, solution areas, investments, campaigns, co-sell motions and marketplace opportunities, the role requires strong GCC/GBS-based alliance enablement capability that combines operational discipline, partner program fluency, reporting governance, executive visibility and commercial analytics.

The GDS SAP Business Intelligence & Operations Specialist will support SAP-alliance priorities across alliance operations, sales and pipeline reporting, revenue and forecast analytics, SAP PartnerEdge program administration, funding and incentive visibility, investment tracking, Power BI dashboarding, CRM/data hygiene, SAP partner tools, executive business reviews and decision-ready insights.

While this role focuses on business intelligence and insights leveraging financial and other data, it is not a Finance role. This role will be embedded in the business and collaborate closely with the Finance team that owns financial reporting data, tools, and processes.

This Assistant Director-level role will help build scalable operating rhythms and reporting practices, convert complex SAP Alliance business information into clear performance narratives and recommendations, and use approved AI and automation tools to simplify processes, improve data reliability and accelerate insight generation across a scalable GCC/GBS operating model.

Your Key Responsibilities

Lead SAP Alliance reporting governance, operating rhythms and business review cadences, ensuring clear ownership, consistent metric definitions, escalation paths, stakeholder alignment, version discipline and leadership visibility.
Partner with Finance to ensure accuracy and quality for recurring SAP Alliance reports, scorecards, Power BI dashboards, executive summaries and insight packs covering sales, pipeline, revenue influence, forecasts, opportunity progression, funding, incentives, MDF, investments, solution activation, certifications, SAP Store activity and business outcomes.
Partner with SAP alliance, sales, regional, solution, program and data owners to improve reporting accuracy, CRM hygiene, opportunity data quality, SAP partner analytics, metric consistency and source-system discipline.
Develop executive-ready insights, performance narratives and visual summaries that support SAP Alliance leadership decision-making, strategic planning, prioritization, business reviews, investment discussions, pipeline interventions and action follow-through.
Analyze trends across pipeline, revenue influence, co-sell activity, GTM campaigns, regional performance, SAP solution areas, alliance growth programs, investments, partner engagement, SAP Store performance and operational indicators to identify risks, opportunities and recommended actions.
Translate SAP GTM activation, alliance enablement, campaigns, SAP store activity, partner motions and ecosystem growth priorities into reporting requirements, success measures, dashboard views, trackers and leadership commentary.
Support SAP partner enablement operations by tracking opportunity registration, partner engagement activity, enablement participation, certification progress, solution-area alignment, sales activation outcomes and action closure against alliance priorities.
Champion continuous improvement by mapping SAP Alliance reporting workflows, removing duplication, rationalizing manual trackers, standardizing inputs, strengthening controls, documenting processes and embedding quality checks across reporting cycles.
Drive automation across dashboard refreshes, data validation, CRM and SAP tool extracts, recurring commentary, reporting calendars, workflow notifications, action trackers, certification trackers, funding trackers and partner program dashboards.
Use approved AI-enabled tools such as Microsoft Copilot, Power BI, Power Query, Power Automate and Power Platform to support trend identification, anomaly detection, automated summaries, dashboard commentary, leadership narratives, data quality prompts and reusable SAP Alliance reporting accelerators.
Maintain SharePoint repositories, reporting calendars, version-controlled files, dashboard documentation, governance logs, SOPs, knowledge assets and audit-ready evidence to support continuity and smooth SAP Alliance execution.
Advise onshore Reporting, Growth & Innovation and SAP Alliance Operations stakeholder teams on ad hoc analysis, special projects, process improvements, dashboard enhancements, executive asks and operational risks.
Guide junior contributors or shared delivery resources by clarifying SAP Alliance priorities, reviewing outputs, reinforcing quality standards, supporting capability building and enabling timely delivery.
Convert complex SAP Alliance data, reporting outputs and business performance indicators into simple, stakeholder-friendly narratives that help senior leaders understand performance, evaluate trade-offs, identify next actions and act with confidence.

Skills And Attributes For Success

Advanced understanding of SAP alliance operations, sales and revenue operations, growth reporting, pipeline management, business intelligence, performance management, executive dashboarding and alliance governance.
Strong commercial awareness across SAP-led sales motions, pipeline, revenue influence, forecasting, opportunity management, partner performance, incentives, funding programs, SAP Store activity, certifications, partner enablement and alliance business reviews.
Ability to design and operate reporting cadences, KPI frameworks, scorecards, trackers and dashboards that provide leadership visibility across SAP Alliance priorities, partner ecosystem performance and GCC/GBS delivery commitments.
Strong understanding of SAP partner lifecycle operations, including PartnerEdge program administration, incentives and funding visibility, certifications, enablement participation, marketplace coordination, partner tools governance and compliance reporting.
Technology aptitude and business-level understanding of SAP alliance solution areas such as SAP S/4 HANA, RISE with SAP, GROW with SAP, SAP Business Technology Platform, SAP Business AI, SAP SuccessFactors, SAP Ariba, SAP Concur, SAP Signavio, industry cloud solutions and SAP Store offerings.
Strong understanding of AI-enabled analytics and responsible use of approved AI tools to improve SAP Alliance reporting efficiency, insights, narratives, commentary, forecasting inputs, performance storytelling and process automation.
Exposure to continuous process improvement, simplification, reporting automation, workflow standardization, data validation, process documentation, controls, audit readiness and operational excellence in a GCC/GBS environment supporting SAP Alliance priorities.
Ability to identify recurring manual effort, define improvement opportunities, prioritize quick wins and institutionalize sustainable process changes across SAP reporting and alliance enablement workflows.
Advanced Microsoft Excel and PowerPoint skills, including data analysis, modelling, pivots, lookups, charts, variance views, storyboarding and leadership-ready presentations.
Hands-on working knowledge of Power BI, Power Query, Power Pivot, Power Automate, Power Apps, SharePoint lists, workflow tools, dashboarding, data visualization and approved AI-enabled productivity tools.
Working familiarity with CRM, opportunity management, partner relationship, channel reporting, SAP Store, deal registration, certification, funding or incentive tracking tools.
Strong stakeholder management and influencing skills across senior onshore stakeholders, regional teams, SAP alliance leaders, partner program owners, sales operations and delivery teams.
Strong problem-solving, analytical thinking, root-cause evaluation, risk identification and mitigation planning across SAP Alliance data, reporting, process, governance and stakeholder alignment issues.
Strong project and workstream management skills, including prioritization, tracking, governance, execution discipline, status reporting, action management and escalation management.
Ability to operate with limited supervision, anticipate SAP Alliance stakeholder needs, manage ambiguity and balance recurring operations with transformation priorities.
Ability to manage partner program, incentive, certification, marketplace, co-sell and funding-related reporting requirements with stakeholders who own source systems, business rules and compliance expectations.
Relevant learning, certifications or badges in Power BI, advanced Excel analytics, Power Platform, AI fundamentals, cloud or security fundamentals, data visualization, business analytics, project management, Lean Six Sigma, automation or responsible AI preferred.
Continuous learning mindset across AI, analytics, automation, partner ecosystem, revenue operations and alliance enablement practices.
Excellent communication skills, with the ability to create concise leadership updates, executive summaries, decision notes, insight narratives, SOPs, status reports and stakeholder-ready materials.

To qualify for the role, you must have

University degree required; qualification in business, analytics, technology, engineering, data, management, commerce or a related discipline preferred.
MBA, postgraduate qualification or equivalent certification in business analytics, sales/revenue operations, data analytics, project management, process improvement, automation, SAP fundamentals, SAP BPT, SAP S/4 HANA or related enterprise technology would be an advantage.
12–15 years of relevant work experience in reporting and insights, SAP alliance operations, partner operations, sales operations, revenue operations, business intelligence, analytics, growth operations, consulting, performance management, process improvement, automation or strategic operations.
Experience supporting senior stakeholders, global teams and cross-functional reporting initiatives in a matrixed GCC/GBS, professional services, consulting, technology, SAP Alliance, partner ecosystem or shared services environment.
Experience preparing executive dashboards, business review packs, sales and pipeline reports, alliance investment programs, KPI scorecards, governance updates and performance narratives.
Experience working with CRM, pipeline, SAP partner tools, SAP Store, certification, funding, incentive, investment, campaign or business performance data, including data quality remediation with source owners.
Ability to manage recurring SAP Alliance reporting operations, stakeholder asks, ad hoc analysis, process documentation and continuous improvement while maintaining accuracy, timeliness and confidentiality.
Ability to work flexibly across priorities, stakeholder groups, global time zones and SAP Alliance business requirements, based on assignment needs.

Ideally, you'll also have

Multi-domain exposure across SAP Alliance, sales operations, partner operations, revenue operations, growth programs, reporting, analytics, marketing, technology, transformation, consulting, managed services or partner ecosystem enablement.
Exposure to SAP ecosystem reporting, sales and pipeline analytics, opportunity tracking, growth planning, co-investment, SAP Store operations, partner program execution, incentives, funding programs, PartnerEdge governance, certifications, AI-enabled productivity tools, SAP BTP, SAP S/4 HANA, RISE with SAP, GROW with SAP, SAP Business AI or related SAP solution areas.
Experience supporting SAP Alliance business reviews, executive reporting, leadership updates, dashboard standardization, data quality improvements, automation, partner performance reporting and governance cadences.
Ability to simplify complex processes, create scalable operating models, define SOPs, build knowledge repositories and use AI-enabled tools, workflow automation and data visualization to improve SAP Alliance reporting quality.
Ability to convert complex SAP Alliance performance information into insights, executive commentary, business implications, risk indicators and recommended actions.
Exposure to GCC/GBS delivery models, offshore-onshore collaboration, knowledge transition, reporting service management, SLAs, operational excellence, quality management or continuous improvement would be an advantage.
Experience collaborating with SAP Alliance, ERP, cloud, consulting, systems integrator or professional services ecosystem teams would be useful.

Technologies and Tools

Microsoft 365 tools including Excel, PowerPoint, Word, Teams, Outlook, SharePoint, OneDrive, Planner, Forms, Loop and approved collaboration platforms.
Power BI, Power Query, Power Pivot, Power Automate, Power Apps, Power Platform, SharePoint lists, workflow tools, approved AI-enabled productivity solutions and dashboarding platforms.
SAP Partner ecosystem tools, SAP PartnerEdge resources, SAP Store trackers, certification trackers, incentive/funding trackers, opportunity registration tools, CRM or pipeline platforms, campaign trackers, data repositories and business performance trackers.
Data visualization, governance and productivity tools for SAP Alliance KPI scorecards, executive reporting, workflow notifications, version control, knowledge management, SLA tracking, quality checks and audit-ready evidence.
AI, analytics and automation tools that support SAP Alliance data cleaning, summarization, variance explanation, trend analysis, anomaly detection, process mining, workflow automation and reporting accelerators.

What We Look For
We are looking for a structured, commercially aware Assistant Director-level professional who can turn SAP Alliance data into business insight and strengthen Growth & Innovation’s SAP enablement model. The ideal candidate will combine SAP Alliance operations discipline, partner program understanding, revenue and pipeline reporting expertise, stakeholder confidence, analytical rigor, service delivery discipline, process improvement mindset and comfort with AI-enabled automation.

What We Offer
EY Global Delivery Services (GDS) is a dynamic global delivery network that advances EY’s growth strategy. Within Growth & Innovation, GDS teams enable alliances, ecosystems, go-to-market programs, technology-enabled growth and business insights across global locations. In this role, you will contribute to meaningful SAP Alliance enablement work, collaborate with global stakeholders, apply analytics and automation to SAP-led business priorities, and help shape scalable operating models that support long-term career growth.

Continuous learning: Develop the mindset, skills and confidence to adapt, grow and navigate what comes next.
Success, as defined by you: Access the tools, flexibility and support to make a meaningful impact in the way that works best for you.
Transformative leadership: Gain insights, coaching and experiences that help you grow into the leader the world needs.
Technology-enabled impact: Work with modern analytics, automation and AI-enabled productivity tools to improve how SAP Alliance operations, reporting and insights are delivered at scale.
Diverse and inclusive culture: Be valued for who you are and empowered to use your voice to help others find theirs.

EY | Building a better working world

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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Data Scientist

Head of Analytics and Data Science (f/m/d)

Zenjob

Remotefulltime

Apply on the employer's site

Role description

About us

Zenjob is an AI-powered flexible staffing platform that has efficiently connected companies and temporary workers since 2015. Companies use our platform to book ready-to-work staff in real time, while students use our app to find part-time jobs that conveniently fit around their studies. Over 40,000 students and 1,000 partner companies from logistics, retail, and hospitality in all major German cities share our belief that good work is not a coincidence. It is the result of innovative technology and genuine commitment. Good work starts here.

The role

Data is at the core of Zenjob’s marketplace, and we’re looking for a collaborative, forward-thinking Head of Analytics & Data Science to guide our next chapter. In this role, you will lead and mature our data and analytics function, helping the team unlock actionable insights and scale their impact across the company. You will help us integrate Artificial Intelligence further into our everyday work—both in how we optimize our platform and how we improve our internal workflows. If you are a pragmatic leader who loves mentoring developing talent, solving marketplace puzzles, and exploring practical AI applications, we’d love to meet you.

What you'll do

Nurture and Grow the Team:
Coach and develop our team of Data Scientists and Analysts. You will foster a healthy, collaborative culture rooted in continuous learning, best practices, and practical business impact.
Integrate AI into Everyday Work:
Guide the team in adopting modern AI tools and methodologies to improve our daily workflows, while helping identify smart opportunities to leverage AI.
Drive Pragmatic Execution:
Manage the roadmap for data initiatives. You will keep a steady delivery pace, ensuring the team's output translates into clear, measurable value for Zenjob.
Collaborate Across Teams:
Partner closely with Data, Engineering and Business stakeholders to ensure we are building a collaborative, reliable, and accessible data ecosystem.
Focus on What Matters:
Help the team prioritize high-impact initiatives, ensuring we are solving mission-critical business problems rather than getting lost in the noise.

What you bring

Team Leadership Experience:
A proven track record of managing and developing data professionals (analysts and/or data scientists) in a fast-paced environment.
An Open Mind Toward AI:
Curiosity and practical experience with modern AI tools, with a clear view of how to use them to automate workflows and enhance analytical capabilities.
Marketplace Intuition:
Prior experience or a deep understanding of two-sided marketplace dynamics (supply, demand, and matching optimization) is highly valued.
Strong Business Translation:
The ability to bridge the gap between technical data work and business reality, turning complex analysis into simple, actionable insights for stakeholders.
Solid Technical Foundations:
A strong background in data modeling, analytical methodologies, and experimentation, combined with a highly pragmatic approach to problem-solving.
Great Communication Skills:
An empathetic communication style that allows you to influence stakeholders, build trust, and bring people along on the data journey.

What we offer

Innovative mission:
Together we create something new. Work in a dynamic set-up where you learn a lot and your every idea is heard.
Unique team spirit
: We can rely on each other blindly and celebrate all successes together as a team.
Vacation
: Recreation and further education is important, which is why we offer 28 days of paid vacation (increased by 1 day for every 2 calendar years of service with us, up to a maximum of 30 days), 1 day of special leave for community service, 5 days of paid educational leave, and the possibility of unpaid leave
Hybrid working model
: We love our brand new office in Prenzlauer Berg. But sometimes you need a little more flexibility. Zenjob’s flexible working model combines the best of both worlds, so you can work remotely up to 2 days / week (1 day, during the first 6 months, so we can guarantee you the best onboarding).
Dog-lover
: If you have a dog, feel free to bring it with you. We don’t bite and always have a bowl of water in our range of drinks
Personal growth
: Ongoing focus on your personal development (annual training budget of EUR 1000, mentoring opportunities, constant career development conversations)
Healthy mind in a healthy body:
With us you will receive a 30 EUR Urban Sports Club grant to keep you fit. In addition, we have a small sports room in the office ourselves.
Always mobile:
You will receive EUR 40 credit per month for NAVIT, a sustainable mobility tool for public transport, bike sharing and much more.
Legendary Events:
Quarterly team events, winter and summer parties, budget for birthdays and anniversaries of our employees

If this sounds good, then we’d love to find out more about you! Apply and send in your application.

🎥 Watch our Office Tour video.

We invite you to visit our careers page, follow our LinkedIn page and connect with us on Instagram.

We are proud to be an equal opportunity employer. We are committed to judging every qualified individual on their ability, regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. There is no need to add your photo and age to the application.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Scientist

Senior Machine Learning Engineer, Learner Modeling

Portfolium (Acquired by Instructure)

Remotefulltime

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Role description

At Instructure
, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.

We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

Our AI team is where a lot of that gets built: applying advanced AI to real problems in learning, and turning research into product capabilities that educators and students use every day.

We're looking for a Senior Machine Learning Engineer to build and own the learner models behind our mastery and progression capabilities. You'll design the models, build the pipelines that train and score them, and own their quality once they're running in production.

You'll partner with our learning scientists on what these models should measure, and with our infrastructure team on deployment and operations.

What You'll Do

Design and build learner models, including knowledge tracing and longitudinal approaches, that power mastery and progression features surfaced to learners and educators
Shape the data foundation for learner modeling: define which signals matter, and build the datasets your models depend on
Translate mastery and progression definitions into model targets and evaluation criteria, working with learning scientists and product partners
Build estimation and scoring approaches that hold up on sparse, noisy, and evolving behavioral data
Own your models in production: training and scoring pipelines, testing, versioning, and monitoring quality once they're live
Explain model behavior, assumptions, and limitations clearly to product, engineering, and learning partners

What You'll Need

Six or more years in applied machine learning, machine learning engineering, or applied research, with ownership of models shipped into real products
Depth in at least one of: sequence modeling, latent-variable or probabilistic modeling, temporal modeling, Bayesian methods, or calibration of model outputs, applied to data that changes over time
Strong Python and production engineering skills: you write the pipelines that train and score your models, and you've shipped models that run on a schedule and serve predictions to real users
Strong evaluation instincts around calibration, uncertainty, stability, fairness, interpretability, and validation strategy

It Would Be a Bonus If You Had

Experience with recommender systems, user-state modeling, or personalization at scale
Experience with knowledge tracing, psychometrics, educational measurement, or adaptive learning systems
Experience combining structured knowledge representations, such as skills, standards, or concept graphs, with learner models
Experience designing experiments or observational validation strategies to test whether a model reflects reality

Onsite Collaboration Requirement:
This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of our company’s in-person collaboration model.

Why Join Us

Join us and help shape the future of education by turning cutting-edge AI into reliable product capabilities.

At Instructure, we're on a mission to help educators and students learn together, anytime, anywhere, and however works best. You'll join our research-driven team tackling education's biggest challenges with cutting-edge technology.

We value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you'll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth.

Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.
Comprehensive wellness programs and mental health support
Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
The technology and tools you need to do your best work
Motivosity employee recognition program
A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Scientist

Senior Data Scientist

Circana

Remotefulltime

Apply on the employer's site

Role description

Let’s be unstoppable together!
Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth—powered by six decades of expertise and an expansive, high-quality data set.

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives.  We’re a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings. By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work.  Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana. Learn more at www.circana.com.

Role Overview
This position sits within the Media Data Scientist Team and focuses on product Development. The key objective is to develop data science code, supporting Circana’s Media & Product Innovation practices. You will support data science aspects of the end to end media product development cycle. This includes exploratory data analysis, developing and implementing the end-to-end modeling platform, statistical methodology development and empirical experiment design. You will also work with big databases from different sources and assemble them into analysis and insights exploration ready format.

Job Responsibilities

Apply and design best-in-class methodologies and statistical algorithms to answer business questions.
Build and maintain modeling engines for Circana analytics platforms using various tools, such as Python, SQL, Spark, etc.
Utilize advanced computations/statistics and machine learning/AI methodologies.
Partner with cross-functional teams (e.g., Technology, Product, Commercial, etc.) to build analytical solutions for some of the largest retailers and manufacturers in the world, utilizing granular data at scale.
Work directly with clients including the top advertising platforms to gather detailed requirements and communicate results.
Document and present methodologies and research findings to internal and external stakeholders
Manage and mentor junior data scientists, guide them in problem-solving and help them develop their technical skills.

Requirements

Postgraduate degree in Statistics, Econometrics or related quantitative field; Masters or PhD preferred
6+ years’ experience of Python/R development. Strong proficiency for statistical analysis, data visualization, and statistical modeling. Familiarity with packages like Pandas, NumPy, Matplotlib in Python, dplyr, ggplot2, tidyr in R.
SQL: Ability to write complex queries, perform joins, aggregations, subqueries, window functions, and optimize queries for performance.
Data extraction and manipulation: Skill in retrieving and integrating data from multiple sources and formats.
Deep understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing (t-tests, ANOVA, chi-squared), regression analysis (linear, logistic), time series analysis, A/B testing.
Solid understanding of various Machine Learning and AI algorithms
Able to build and convey impactful insights drawing from multiple data sources. Skilled at explaining technical subject matter to non-technical audiences.
Nice to have: Previous experience in Marketing Mix Modeling and other Media measurement techniques.

Circana Behaviors
Beyond technical skills, experience, and role-specific attributes, these shared behaviors are fundamental to our culture and success. We seek individuals who consistently demonstrate and champion these behaviors in their daily work:

Stay Curious: Being hungry to learn and grow, always asking the big questions.
Seek Clarity: Embracing complexity to create clarity and inspire action.
Own the Outcome: Being accountable for decisions and taking ownership of our choices.
Center on the Client: Relentlessly adding value for our customers.
Be a Challenger: Never complacent, always striving for continuous improvement.
Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
Commit to each other: Contributing to making Circana a great place to work for everyone.

Location:
This position can be located in the following area(s): Remote, Greece

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

That is every opening in this category and country

GDS Alliances, SAP Business Intelligence & Operations Specialist - Assistant Director - EY GDSEY

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