business insight and analytics manager

PepsiCo

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 In this role, you will play a key role in shaping the future of media measurement strategy for PepsiCo, esp. with focus on building an understanding role of media as key Growth Driver thru ROI and related analytics. You will be a trusted advisor to marketing and media leaders across key markets for PepsiCo&rsquo;s - enabling a range of internal and external stakeholders to leverage media mix as competitive advantage, leveraging measurement, insights, as well as process &amp; technology. You will be responsible for providing thought leadership and advice to set a vision for driving PepsiCo media and content effectiveness thru data-driven strategy. You will also play a key role in developing cross-portfolio, cross-markets media investment optimizations capability, driving the vision through a set of focused, tangible and results-oriented activities. You will work with the Marketing and Insights leadership team globally and within AMESA sector to identify best practices in the industry and across all PepsiCo&rsquo;s brands, providing support to codify and scale best in-class methods that inspire continuous improvement in marketing effectiveness and ROIs.
 <br/>
 <br/>
 You will be expected to demonstrate expertise in application of mix models, attribution analytics, performance measurements through application of Data science and advanced analytics. You should have clear understanding of media domain &ndash; with end to end understanding from planning, execution to measurement of media effectiveness.
 <br/>
 <br/>
 This role is responsible for owning the end-to-end delivery of ROIe studies across key anchor markets in the MENA &amp; Pakistan region. The position plays a critical role in turning media performance data into actionable insights that help drive smarter media investment decisions.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead end-to-end execution of ROIe studies for priority markets in the MENA &amp; PAK region, from study design through delivery and readouts
  </li>
  <li>
   Translate ROIe findings into clear, practical recommendations for Media and Brand teams
  </li>
  <li>
   Act as a trusted advisor to Media and Brand teams on best-in-class media practices, leveraging ROIe learnings
  </li>
  <li>
   Partner closely with Media teams to support and influence optimal media mix decisions
  </li>
  <li>
   Enable teams with insights and frameworks that help maximize media effectiveness and ROI
  </li>
  <li>
   Collaborate with cross-functional stakeholders to ensure insights are aligned with business objectives
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   An experienced Media/Insight or Analytics professional with experience in a leading consumer goods company. 10 years+ experience
  </li>
  <li>
   Education: Master&rsquo;s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. An equivalent of the same in working experience is also acceptable for the position
  </li>
  <li>
   Strong leadership and influencing profile in line with Insights Leader of the future definition: Motivates action through fact-based, inspirational material; Has a track record of identifying and championing new processes for improving fact-based decision making. Can synthesize multiple, disparate data sources into compelling growth strategies. Formulates a strong POV and can articulate future scenarios; Is an exceptional story-teller.
  </li>
  <li>
   Familiar with data science concepts and solid understanding of market mix models,
  </li>
  <li>
   Strong collaborator: Interested and motivated by working with others. Actively creates and participates in opportunities to co-create solutions across markets; will be willing and able to embrace Responsive Ways of Working
  </li>
  <li>
   Knowing the Business Cold: Can easily see how insights/research learning can improve businesses impact and frames up reporting efforts and opportunities to inform business decisions
  </li>
  <li>
   High degree of familiarity with CPG and Food &amp; Beverage industry data sources, including Nielsen/IRi (POS and HH panel), GlobalData, Kantar Worldpanel, etc.
  </li>
  <li>
   Deep understanding of CPG industry business performance outputs and causal measures, their relationships, and how to bring business performance insights to life visually. Prior experience of working with Media team on media analytics and operations will be a great assest
  </li>
  <li>
   Consulting experience: Experience in delivering insights and recommendations to leadership on Media performance and optimization
  </li>
  <li>
   Operational experience from business servicing sector and/or consulting experience would be a plus
  </li>
  <li>
   Fluent English &ndash; obligatory
  </li>
 </ul>
</div>


Media Insights & Analytics Assoc Manager

Newfold Digital

<div><p><b>Who We Are
</b></p><p>At Bluehost, we believe all small businesses deserve the opportunity to succeed online. Our mission is to give small businesses the confidence to think big. We're the all-in-one platform for small businesses to grow online with powerful simplicity, premium performance, smart tools and human support.</p><p></p><div><p>
As we scale our growth engine spanning paid acquisition, lifecycle marketing, sales and partner route to market, we are looking for a Senior Manager, Growth Marketing Analytics and Insights to lead how we measure, learn, and optimize across our most critical growth channels.</p></div><p></p><div><p>
We are seeking a senior analytics leader who will own the measurement strategy behind our growth investments, drive a rigorous experimentation agenda, and translate complex data into clear, business-aligned decisions. In this highly visible, strategic role, you'll sit at the intersection of Growth, Product, Finance, and Data Science&mdash;partnering across the organization to make every marketing dollar work harder and smarter.</p></div><p></p><p><b>
What you&rsquo;ll do &amp; how you&rsquo;ll make your mark.</b></p><p></p><div><div><p><b>
Measurement</b><b>,</b><b> </b><b>Experimentation</b><b> </b><b>and</b><b> </b><b>Optimization</b></p></div><div><ul><li><p>
Own measurement strategy for paid and performance marketing looking through the lens of attribution and incrementality.</p></li></ul></div><div><ul><li><p>
Design and evaluate conversion and lift tests to quantify true incremental ROI</p></li></ul></div><div><ul><li><p>
Drive budget optimization across channels and campaign options using marginal return analysis</p></li></ul></div><div><ul><li><p>
Build scenario analyses and business cases to support paid media investment decisions</p></li></ul></div><div><ul><li><p>
Translate data into business and impact narratives</p></li></ul></div><p></p><div><p><b>
Channel Performance and Growth Analytics</b></p></div><div><ul><li><p>
Lead performance analytics across including search, social, seo, media, and lifecycle marketing</p></li></ul></div><div><ul><li><p>
Identify growth opportunities through deep channel, campaign, and cohort analysis</p></li></ul></div><div><ul><li><p>
Develop attribution frameworks with a balance of rigor with operational simplicity</p></li></ul></div><div><ul><li><p>
Think through growth and impact lens and design tests to answer specific questions</p></li></ul></div><p></p><div><p><b><br>
Analytics and</b><b> </b><b>Insights</b></p></div><div><ul><li><p>
Orchestrate analysis harnessing existing BI tools and workflows</p></li></ul></div></div><div><div><ul><li><p>
Identify and harness AI-enabled tools to detect trends, opportunities and insights</p></li></ul></div><div><ul><li><p>
Develop or vide code dashboards and reports that surface relevant KPIs</p></li></ul></div><div><ul><li><p>
Evaluate and implement best-in-class measurement tooling and data infrastructure improvements</p></li></ul></div><div><p><b><br>
C</b><b>ross-functional Influence and Enablement</b></p></div><div><ul><li><p>
Partner with Growth, Product, Finance, and Data Science teams to align on shared metrics and reporting, and connect spend to growth and LTV outcomes</p></li></ul></div><div><ul><li><p>
Enable marketing and channel teams with self-serve analytics tools and clear KPI frameworks</p></li></ul></div><div><ul><li><p>
Present insights and recommendations to senior leadership with clarity and confidence</p></li></ul></div><div><ul><li><p>
Champion a culture of experimentation and data-informed decision-making across the growth org</p></li></ul></div><p></p><div><p><b><br>
Who you are &amp; what you&rsquo;ll need to succeed.</b></p><div><ul><li><p>
7-10+ years of experience in growth analytics, marketing analytics, or data science within a digital-first or SaaS environment</p></li></ul></div><div><ul><li><p>
Deep expertise in marketing measurement, including incrementality testing, multi-touch attribution, and media mix modeling</p></li></ul></div><div><ul><li><p>
Proven track record designing and interpreting A/B and lift tests at scale</p></li></ul></div><div><ul><li><p>
Experience building and communicating business cases for budget allocation and investment decisions</p></li></ul></div><div><ul><li><p>
Ability to work cross-functionally and influence without authority across marketing, product, and finance stakeholders</p></li></ul></div><div><ul><li><p>
Strong data visualization skills using packaged tools or vibe coded apps</p></li></ul></div><div><ul><li><p>
Exceptional communication skills &mdash; able to translate complex analytical findings into clear, actionable narratives for non-technical audiences</p></li></ul></div><p></p><div><div><p><b>
Preferred experience</b></p></div><div><ul><li><p>
Experience in SMB-focused platforms, or subscription-based digital products</p></li></ul></div><div><ul><li><p>
Familiarity with AI-enabled analytics tooling for anomaly detection, forecasting, or insight automation</p></li></ul></div></div><div><div><ul><li><p>
Background working with performance marketing channels at scale (search, social, affiliate)</p></li></ul></div><div><ul><li><p>
MBA or advanced degree in Statistics, Economics, Data Science, or related quantitative field</p></li></ul></div></div><p></p><p><b>
Why you&rsquo;ll love us.</b></p><ul><li><p><b>
Work-life balance.</b> Our work is thrilling and meaningful, but we know balance is key to living well.</p></li><li><p><b>
We celebrate one another&rsquo;s differences.</b> We&rsquo;re proud of our culture of diversity and inclusion. We foster a culture of belonging. Our company and customers benefit when employees bring their authentic selves to work. We have programs that bring us together on important issues and provide learning and development opportunities for all employees. We have 20 + affinity groups where you can network and connect with employees globally.</p></li><li><p><b>
We care about you.</b> We provide excellent Health Insurance options to fit you, HSA, Medical, Dental, Vision, Matching 401K, Life/AD&amp;D/STD/LTD, Tuition Reimbursement, Pet Insurance, Generous vacation policy, and much more!</p></li><li><p><b>
Where can we take you?</b> We&rsquo;re fans of helping our employees learn different aspects of the business, be challenged with new tasks, be mentored, and grow their careers. Unfold new possibilities with Bluehost #OTOD!</p></li></ul><p></p><p>
#LI-SM1 #LI-Remote #Bluehost</p></div></div><p></p><p><b>
Employment with Newfold Digital is at-will and nothing in this Job Description should be interpreted or construed to alter the at-will employment relationship.</b></p></div><p></p>

Sr. Manager, Growth Marketing Analytics and Insights

Juhayna Food Industries

<div>
 <p>
  <strong>
   Job Overview
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Data Analytics &amp; AI Manager is responsible for transforming data into advanced insights, predictive intelligence, and AI-driven solutions that support strategic and operational decision making across the organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Strategic Management
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Lead Advanced analytics initiatives that support business performance and strategic goals.
  </li>
  <li>
   Identify opportunities where predictive analytics and AI can improve efficiency, revenue, or cost control.
  </li>
  <li>
   Gather and translate business requirements into analytical and AI- Driven solutions.
  </li>
  <li>
   Analyze internal and external factors that impact business performance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Analytics &amp; AI Enablement
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop and enhance advanced analytics solutions, including forecasting and predictive models.
  </li>
  <li>
   partner with data science teams to deploy AI/ ML use cases that solve real business challenges.
  </li>
  <li>
   support automation of insights and reporting using intelligent analytics tools
  </li>
  <li>
   Ensure AI and analytics outputs are understandable, reliable, and aligned with business.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Reporting &amp; Insights
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Oversee Development of dashboards and visualization that support business monitoring.
  </li>
  <li>
   Ensure KPIs and performance indicators are clearly defined and consistently tracked.
  </li>
  <li>
   Deliver monthly performance analysis reports with insights and improvement recommendations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Stakeholder Collaboration
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Act as a bridge between business teams, BI, and data science functions.
  </li>
  <li>
   Present insights and AI- Driven findings in a clear and business friendly manner.
  </li>
  <li>
   support leadership with scenario analysis and data backed recommendations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   University degree in computer science, data analytics, information systems, business intelligence, or a related field.
  </li>
  <li>
   8-10 years of experience in analytics, business intelligence, or data roles.
  </li>
  <li>
   Experience working with analytics, predictive modeling, or AI initiatives.
  </li>
  <li>
   Excellent communication and presentation skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience with business intelligence tools such as Power BI, SAC.
  </li>
  <li>
   Good knowledge of SQL and data analysis tools.
  </li>
  <li>
   Exposure to analytics and AI tools.
  </li>
  <li>
   Experience working with data models and structured dataset's
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience in FMCG, Food &amp; Beverages industry is a plus.
  </li>
  <li>
   Experience supporting forecasting, supply chain, or sales analytics initiatives.
  </li>
  <li>
   Experience working in Agile or project-based data environments.
  </li>
 </ul>
</div>


Manager - Data & Analytics

Tenneco

<div><div>At Tenneco, we don&rsquo;t follow industry standards; we set them, and we don&rsquo;t settle for being best-in-class because we hustle to be <i>better than</i> best-in-class. Whether it&rsquo;s our Core Values &ndash; radical candor, simplify, organizational velocity, tenacious execution and win &ndash; or our Get Stuff Done (GSD) mindset, we&rsquo;re determined to become the most trusted partner and best manufacturer and distributor to the transportation industry.</div><br>
<div></div>
<div>
With a product portfolio as expansive as it is innovative, an obsessive commitment to quality and excellence, and a global presence, we&rsquo;re all about getting stuff done, so we can win.</div><br>
<div>
</div><div>How do we make it happen? Through the Tenneco Way. Fueled by our Core Values, a winning mindset and a relentless commitment to excellence, the Tenneco Way is how we win. It&rsquo;s what keeps Team Tenneco bold, driven, and unapologetically focused on pushing past limits and redefining success.</div><br>
<div>
</div><div>Here, you&rsquo;ll work alongside a team of relentless problem-solvers who are committed to making a tangible impact. If you&rsquo;re ready to break boundaries, deliver results, and enjoy the ride along the way, you&rsquo;ll thrive here.</div><div><br>
Want to learn more about who we are? Check out our website to discover the Tenneco Way</div><div><b>
ABOUT THE ROLE</b></div>
<div>
The Business Intelligence Manager leads the <b>strategy, development, and delivery of data insights that drive informed business decisions across the organization</b>, with a primary focus on Human Resources and People Analytics. This role transforms workforce and operational data into actionable insights that influence enterprise strategy, performance, and planning&mdash;not just people-related decisions.</div><br>
<div></div>
<div>
The position serves as a bridge between HR, IT, Finance, and business leadership, ensuring data is trusted, scalable, and aligned with broader business outcomes.</div><br>
<div></div>
<div><b>
KEY RESPONSIBILITIES</b></div>
<ul>
<li>Lead the <b>enterprise people analytics and HR BI strategy</b>, aligned with overall business and analytics objectives</li>
<li>Manage and mentor a team of BI developers, analysts, and people analytics professionals</li>
<li>Partner with senior leaders across HR, Finance, Operations, and IT to translate business questions into data solutions</li>
<li>Design, develop, and maintain dashboards and analytics products using <b>Power BI</b></li>
<li>Deliver insights that support <b>workforce strategy, financial planning, operational efficiency, and business performance</b></li>
<li>Oversee <b>SuccessFactors reporting</b> (Workforce Analytics, Stories, Ad Hoc Reports, Integration Center) and ensure data consistency</li>
<li>Build and deploy <b>Power Apps</b> and Power Automate solutions to improve HR and cross-functional business processes</li>
<li>Develop and govern enterprise KPIs spanning people, productivity, cost, and performance</li>
<li>Own HR data models, semantic layers, and definitions used across the business</li>
<li>Ensure data quality, governance, security, and compliance for sensitive employee and business data</li>
<li>Drive adoption of self-service analytics and data literacy across HR and business teams</li>
<li>Present insights, trends, and recommendations to executive leadership</li></ul><br>
<div></div>
<div><b>
JOB REQUIREMENTS</b><b>
</b></div><ul><li>Bachelor&rsquo;s degree in Data Analytics, Information Systems, Business, HR, or related field</li>
<li>5+ years of experience in business intelligence, analytics, or data strategy roles</li>
<li>2+ years of experience leading analytics or BI teams</li>
<li>Advanced expertise in <b>Power BI</b> (data modeling, DAX, performance tuning)</li>
<li>Strong experience with <b>SAP SuccessFactors data and reporting</b></li>
<li>Experience designing and delivering <b>People Analytics</b> solutions</li>
<li>Hands-on experience with <b>Power Apps</b> and workflow automation</li>
<li>Strong SQL skills and experience with enterprise data warehouses</li>
<li>Ability to translate complex data into clear, business-focused insights</li>
<li>Excellent communication and stakeholder management skills</li></ul><br>
<div></div>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience integrating HR, Finance, and Operational data</li>
<li>Knowledge of Azure data services or modern cloud data platforms</li>
<li>Understanding of workforce planning, productivity analysis, and organizational design</li>
<li>Experience with data privacy regulations (GDPR, employee data compliance)</li>
<li>Background in enterprise analytics transformation initiatives</li></ul><br>
<div></div>
<p><b>
Key Metrics &amp; Insights Delivered</b></p>
<ul>
<li>Workforce and headcount analytics</li>
<li>Attrition, retention, and engagement trends</li>
<li>Diversity, equity, and inclusion metrics</li>
<li>Productivity and workforce cost analysis</li>
<li>Talent acquisition and learning effectiveness</li>
<li>Enterprise KPIs linking people data to business performance</li></ul><br>
<div></div>
<div><b>
Physical and Mental Requirements:</b> The position requires the ability to sit or stand for extended periods of time; use a computer, keyboard, and other standard office equipment; and lift or move light materials as needed. The role also requires the ability to read, write, and communicate effectively; maintain focus; organize tasks; manage time; exercise judgment; solve problems; work independently; and handle routine work-related stress in a professional office environment</div><br>
<div></div>
<div><b>
We don&rsquo;t want average. We want exceptional. We want someone who&rsquo;s hungry to build, unafraid to challenge, and bold enough to lead with empathy, speed, and precision. Sound like you? Let us know.</b></div><br>
<div>
</div><div><b>Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities</b></div></div>

Business Intelligence Manager - HR & People Analytics

Samsung Electronics

<div><p><b>Position Summary</b></p><p></p><p><b>
Role and Responsibilities</b></p><p></p><p><b>
About Samsung Ads</b>: Samsung Ads, the advertising monetization arm of Samsung Electronics, leverages proprietary real-time TV viewing behavior and insights to connect brands with their target audiences across desktop, mobile, tablets, and Smart TVs. Our platform delivers high-quality audience targeting powered by first-party data at scale, world-class data science, and brand-safe cross-device ad inventory. We partner with brands, agencies, and content owners to create unique advertising opportunities on our Smart TV platform and programmatically across devices. If you are seeking an environment where your leadership can have a direct impact on business growth,</p><p></p><p><b>
Role Overview</b>: We are seeking a proven leader to guide our Client Analytics Reporting team, utilizing the world's largest TV viewership data. This role involves leading a team of technical analysts who use SQL, Python, statistical programming languages, and AI tools to measure ad campaign performance, develop custom analytics and dashboards, implement client clean room engagements, and create early-stage Data Solutions. The ideal candidate will possess strong technical skills, excellent communication abilities, and effective stakeholder engagement.</p><p></p><p><b>
Key Responsibilities</b>:</p><ul><li>
Lead a team of analysts to produce ad campaign measurement, client reporting, clean room engagements, and custom analysis. Coach the team to transform and cleanse data into meaningful analysis for business/sales teams.</li><li>
Manage team capacity and prioritize client work across business stakeholders.</li><li>
Oversee client facing experimentation, including AB testing and Incrementality, ensuring best practices and standards are met. Act as the knowledge expert on research design and implementation.</li><li>
Collaborate with stakeholders to support client growth opportunities through custom analytics deliverables.</li><li>
Translate business requirements into SQL queries and Python scripts for ad hoc analysis and custom reporting solutions.</li><li>
Identify client ad performance opportunities, trends, and anomalies through data exploration.</li><li>
Architect data pipelines to connect different data sources and develop/maintain ETL processes.</li><li>
Optimize current code base and reporting solutions, including the application of AI tools like Claude.</li><li>
Oversee documentation and ensure best practices.</li></ul><p></p><p><b>
Qualifications</b>:</p><ul><li>
10+ years in engineering/analytics roles, including experience with advertising campaign measurement and incrementality methodologies.</li><li>
Degree in computer science/engineering or a quantitative discipline (Economics, Statistics, Engineering, Physics, Mathematics).</li><li>
5+ years managing an analyst team.</li><li>
Strong technical skills in AWS, Snowflake, and Big Data environments.</li><li>
5+ years of SQL experience.</li><li>
Python experience.</li><li>
Experience with AI tooling for coding automation.</li><li>
AB Testing/Experimentation experience.</li><li>
Stakeholder engagement experience.</li><li>
BI experience (Tableau, Domo a plus).</li><li>
Experience with AWS tools (IAM, Lambda, EC2, S3).</li><li>
Strong Jira, Confluence, GitHub, and agile development tool experience.</li><li>
Data privacy knowledge.</li></ul><p></p><p><b>
Bonus Skills</b>:</p><ul><li>
Salesforce Experience</li><li>
Vendor management</li><li>
Clean Room Experience (Snowflake, LiveRamp, InfoSum)</li></ul><p></p><p><b>
Main Tasks</b>:</p><ul><li>
Act as a player-coach, managing a team of analysts who develop query scripts and ad campaign performance reports.</li><li>
Leverage AI and dashboards for automation and develop new Client Data Insight Solutions using Snowflake with SQL and Python.</li><li>
Collaborate with stakeholders to support client growth opportunities through custom analytics deliverables.</li><li>
Explore data to identify client ad performance opportunities, trends, and anomalies.</li><li>
Coordinate reporting automation with internal Product and Engineering teams.</li><li>
Partner closely with Product and Engineering teams to identify measurement solution requirements, Beta test new solutions, and drive innovative best practices from market feedback.</li><li>
Ensure a high level of accuracy and quality in all reporting and experimentation.</li></ul><p><b>
Join Us</b>: If you are a proactive, analytical problem solver and strategic thinker with strong leadership skills, we invite you to apply for this exciting role at Samsung Ads. Together, we can drive innovation and deliver impactful solutions for our clients.</p><p></p><p><b>
Skills and Qualifications</b></p><p></p><p>
#LI-TX</p><p></p><p>
The salary range for this role is expected to be between $175,000 and $200,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.</p><p></p><p><br>
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.</p><p></p><ul><li>Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.</li></ul><p></p><p><b>
Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process</b></p><p>
Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.</p></div>

Manager of Client Analytics, Data Insights Team

MA'ADEN

<div><div><div><div><div><p>Role Purpose:
</p><p>The Data Science &amp; Analytics Manager is responsible for overseeing the end-to-end execution of data science and advanced analytics initiatives that support Maaden&rsquo;s operational and business objectives. The role ensures that data science projects are delivered with high quality, reliability, and measurable impact by managing workflows, coordinating cross-functional stakeholders, and maintaining strong alignment with enterprise data, AI, and governance standards.
</p><p>As an operational leader, the Manager translates business needs into actionable analytical work, supervises the development of models, analytical products, and data pipelines, and ensures their successful deployment and adoption across functions. This role plays a critical part in embedding data-driven decision-making within production, maintenance, supply chain, engineering, and other business units by enabling teams to access trusted insights, robust analytical tools, and fit-for-purpose ML/AI solutions.
</p><p>Through effective project management, quality oversight, and close collaboration with technical experts and business partners, the Data Science &amp; Analytics Manager helps accelerate Maaden&rsquo;s transition to a technology-enabled, AI-informed mining enterprise.<br>
</p><p></p><p><b>1. Manage End‑to‑End Data Science Delivery
</b></p><ul><li><p>Oversee the development, implementation, and maintenance of databases and data collection systems.
</p></li><li><p>Manage the lifecycle of ML/AI initiatives&mdash;supporting problem framing, data exploration, feature engineering, model development, validation, and preparation for MLOps deployment.
</p></li><li><p>Ensure delivery of scalable, production‑ready models in alignment with enterprise data governance and AI standards.
</p></li><li><p>Conduct statistical analysis to interpret data insights and support decision‑making.
</p></li><li><p>Apply data mining techniques to uncover patterns, trends, and relationships in large datasets.
</p></li><li><p>Develop predictive models and machine learning algorithms to forecast future outcomes as required.
</p></li><li><p>Create clear data visualizations, dashboards, and reports to effectively communicate findings to business stakeholders.
</p></li><li><p>Collaborate with cross‑functional teams to understand business needs and translate them into data‑driven solutions.
</p></li><li><p>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins.
</p></li><li><p>Stay updated on emerging techniques, tools, and technologies in data science and analytics.
</p></li><li><p>Promote experimentation, model versioning, automated retraining, and continuous improvement processes.
</p></li><li><p>Recommend enhancements to existing models and analytics workflows for greater efficiency and impact.<br>
</p></li></ul></div></div><br>
<div><div><p><b>2. Data Operations
</b></p><ul><li><p>Partner with data engineering to design, operate, and maintain reliable data pipelines and analytical models, ensuring data accuracy, timeliness, and trustworthiness.
</p></li><li><p>Monitor data quality, resolve data issues, and enforce data best practices across teams.
</p></li><li><p>Support compliance with data security standards and relevant regulations
</p></li><li><p>Supervise the development and deployment of advanced ML models, predictive analytics, GenAI, and optimization solutions, consistent with responsibilities of analytics leadership roles.
</p></li><li><p>Ensure technical rigor across the end‑to‑end ML lifecycle: scoping data engineering modeling validation MLOps monitoring.
</p></li><li><p>Oversee production reliability, model drift management, and continuous improvement.<br>
</p></li></ul></div></div><br>
<div><div><p><b>3. Team Leadership &amp; Capability Building
</b></p><ul><li><p>Manage and grow a multi‑disciplinary team (Lead Specialists, Senior Specialists, Data Scientists). Roles under this manager are explicitly listed in the org structure.
</p></li><li><p>Build technical excellence through coaching on ML, GenAI, statistics, feature engineering, and experimentation.
</p></li><li><p>Foster a culture of innovation, peer review, and reusable modeling frameworks.<br>
</p></li></ul></div></div><br>
<div><div><p><b>4. AI Governance, Quality &amp; Standards
</b></p><ul><li><p>Steward high standards in model explainability, auditability, lineage, and risk management.
</p></li><li><p>Drive compliance with enterprise data governance, PDPL, and model‑risk principles referenced in internal DS/AI qualification guidance.
</p></li><li><p>Ensure adherence to Responsible AI requirements applicable to DS/AI roles (skills and qualifications guidance).
</p></li><li><p>Enforce data quality standards, lineage, and reproducibility across the team&rsquo;s projects.
</p></li><li><p>Support alignment with enterprise governance frameworks, including PDPL compliance.
</p></li></ul></div></div><br>
</div></div><p><b>Minimum Qualifications, Experience and Competencies
</b></p><p><b>Minimum Qualifications:
</b></p><p>Bachelor&rsquo;s degree in computer science, Engineering, Data Science, Mathematics, Applied Mathematics, or Physics.
</p><p><b>Minimum Experience:
</b></p><ul><li><p>10 &ndash; 12+ years&rsquo; experience in advanced analytics, ML/AI engineering, and industrial data science.
</p></li><li><p>Including at least 4 years leading or mentoring analytics professionals.
</p></li><li><p>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</p></li><li><p>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</p></li><li><p>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
</p></li><li><p>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</p></li><li><p>Proven record of enabling cross-functional business impact through scalable, production-grade data science solutions.
</p></li></ul><p><b>Maaden High-Performance Competencies:
</b></p><p><b>Core Competencies
</b></p><ul><li><p>Value realization from ML/analytics initiatives (impact delivered vs. target).
</p></li><li><p>On‑time delivery of analytics roadmap.
</p></li><li><p>Adoption rate and integration of solutions into business workflows.
</p></li><li><p>Model performance stability (drift incidents, uptime).
</p></li><li><p>Team capability maturity and talent development indicators.<br>
</p></li></ul><p></p><p><b>Skills:
</b></p><ul><li><p>Machine Learning &amp; AI Leadership
</p></li><li><p>Programming Expertise
</p></li><li><p>Generative AI Proficiency
</p></li><li><p>Strong Analytical &amp; Statistical Skills
</p></li><li><p>Business Strategy &amp; Product Thinking
</p></li><li><p>Ethics, Governance &amp; Responsible AI
</p></li><li><p>Leadership &amp; People Management</p></li></ul></div>

Manager, Data Science & Analytics

Bayer

<div></div><div><div>Manager Data &amp; Insights Analytics for Whippany, NJ to develop analytics solutions &amp; reporting to translate data into insights and metrics; monitor data sets to surface insights, issues &amp; trends; build KPI dashboards; lead initiatives to evolve &amp; expand data insights capabilities and innovation of data-driven analytics tools; work with cross-functional internal &amp; external business stakeholders to understand needs; coordinate vendors. Requires Master&rsquo;s in C.S., Data Science, or closely related quantitative field &amp; 3 yrs experience building machine learning and natural language processing-driven solutions and data models using Python and/or R; analyzing data to understand business process drivers &amp; identify areas for performance improvement; defining &amp; delivering commercial business metrics in a data architecture to support business reporting and analysis, including sales and market performance data; leading and/or participating in project teams to design, develop &amp; deliver data-driven solutions; working with data in Google BigQuery, AWS, SAP Hana Studio, and/or Oracle, including commercial data, data warehousing &amp; data analytics; managing data warehouses with Google BigQuery, AWS, SAP Hana Studio, and/or Oracle; using data visualization tools, including R &amp; Spotfire, to drive business decisions; performing statistical analysis &amp; predictive modeling for business process optimization; adhering to version control, code documentation &amp; review, and database management best practices; presenting &amp; delivering complex quantitative analyses to technical and non-technical stakeholders at all levels of the business; and working with cross-functional teams. Telecommuting permitted up to 2 days per wk from home office location within reasonable commuting distance of Whippany, NJ. Salary Range: Employees can expect to be paid a salary between $146,000.00 to $175,000.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. The offered salary may vary within this range based on an applicant&rsquo;s location, market data/ranges, an applicant&rsquo;s skills and prior relevant experience, certain degrees and certifications, and other relevant factors. Mail resume to Cascinda Fischbeck, Bayer HealthCare LLC, 800 North Lindbergh Blvd., E2NE, St. Louis, MO 63167 or email resume to BHC_careers@bayer.com. Include reference code below with resume.</div><div></div><div><div><div><div><br>
</div></div><br>
<div><div><div>Bayer Healthcare LLC is an Equal Opportunity Employer/Disabled/Veterans</div></div></div></div><br>
</div>
<div></div><div><div><br>
<div><div><div>Bayer Healthcare LLC is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.</div></div><br>
<div></div>
</div><br>
<br>
<div></div><div><div>If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice.</div>
<div></div>
</div><br>
<br>
<div></div><div><div>Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.</div>
<div></div>
</div><br>
<br>
<div></div><div><div><b>Division:</b></div> <div>Consumer Health</div> <div><b>Reference Code</b></div> <div>862505</div>
</div><br>
<div></div><div><div><b>Functional Area:</b></div> <div></div><div><b>Location:</b></div> <div>Whippany, NJ</div>
</div><br>
<div></div><div><div><b>Employment Type:</b></div> <div>Regular</div> <div><b>Position Grade:</b></div><br>
<div></div>
<div></div>
</div><br>
</div></div><div></div><div><div><br>
<br>
<div><div><b>Contact Us</b></div>
</div><br>
<br>
<div></div><div><div>Address</div> <div>Telephone</div>
</div><br>
<div><div><b>Creve Coeur, MO</b></div>
</div><br>
<div></div><div><div><b>63167</b></div>
<div></div> </div><br>
<div><div>OR</div>
</div><br>
<div> </div><br>
<div></div><div><div>BHC_careers@bayer.com</div></div></div></div></div><div></div>

Manager Data & Insights Analytics

Search 10000+ Business insight and analytics manager jobs near you this May. New roles added regularly across leading industries. Apply today.