advanced analytics manager

MA'ADEN

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

Manager, Data Science & Analytics

Juhayna Food Industries

<div>
 
 
 Job Overview
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 Strategic Management
 
 
 
 
 
 <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>
 
 
 
 
 
 Analytics &amp; AI Enablement
 
 
 
 
 
 <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>
 
 
 
 
 
 Reporting &amp; Insights
 
 
 
 
 
 <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>
 
 
 
 
 
 Stakeholder Collaboration
 
 
 
 
 
 <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>
 
 
 
 
 
 Requirements
 
 
 
 
 
 <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>
 
 
 
 
 
 Technical skills
 
 
 
 
 
 <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>
 
 
 
 
 
 Preferred Experience
 
 
 
 
 
 <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

Mastercard

<div>Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Product Operations Manager - Analytics and Promotions
Overview-We are seeking a highly analytical and detail oriented Program Manager to support our data analytics and promotions. The role requires strong operational discipline, accuracy, and comfort working with large datasets. You will manage loyalty data analytics and promotions coordination and reporting 
The ideal candidate enjoys working with data, is advanced in Excel, and thrives in a reporting heavy environment. Structure, precision, and the ability to manage repetitive tasks with consistency are critical.
 
 
Role-We are looking for passionate and talented professionals, who share our vision for data-driven consulting and product development, to join us and take a leading role in shaping the growth of our team. 
As an analytics manager, you will have the opportunity to actively contribute to client engagements across the regions and types of projects, such as consulting services, test &amp; learn, value story and impact analysis, or building scalable advanced analytics solutions for Loyalty Product clients. 
We recruit for and value the following core competencies: 
<ul><li>Passion: Actively seeks responsibility and takes pride in delivering the highest quality results and recommendations to our clients.</li><li>Analytic Excellence: Demonstrates a strong aptitude for structured problem solving and quantitative skills.</li><li>Project Management: Clear interest in project delivery with business clients, and intuition for the way that companies make decisions.</li><li>Communication and Presence: Excellent written and verbal communication skills in client-facing situations, positioning Mastercard&rsquo;s solutions as high value solutions in sales and delivery conversations.
</li><li>Teamwork: Willingness to work within small teams to produce outstanding deliverables, with a will to win attitude.</li><li>Integrity: Commitment to Mastercard's values of honesty and integrity with a willingness to embrace and learn from our mistakes.</li><li>Diverse Perspective: Brings a unique skillset or approach to the table in every client engagement or internal activity.</li></ul>
Qualifications: 
<ul><li>Undergraduate or master&rsquo;s degree with 5+ years of experience in a data-driven consulting/analytics organization</li><li>Expertise on one or more of SQL, Python, Big data / Hadoop (Pyspark / ScalaSpark / SparkR), HQL, Hive, R</li><li>Strong Expertise on one or more data visualization tools like PowerBI and Tableau</li><li>Experience with campaign insights, A/B testing, data-driven product development, machine learning models for segmentation, forecasting, regression etc preferred</li><li>Exceptional analytical and quantitative problem-solving skills and ability to structure analyses to form data-driven solutions to ambiguous client challenges</li><li>Exposure specifically in payments / retail banking / eCommerce / BFSI merchants / Loyalty / Marketing preferred</li><li>Ability to communicate complex ideas effectively &ndash; both verbally and in writing &ndash; in English and the local office language(s)</li><li>Demonstrated ability to build trust-based relationships with colleagues and clients
</li><li>Ability to multi-task in a fast-paced, deadline-driven environment</li><li>Advanced Word, Excel, PowerPoint and data analytics skills</li><li>Candidates must be eligible to work in the country of which they are applying for a position in, as well as eligible to apply for travel visas as required by travel needs.</li></ul>
Corporate Security Responsibility 
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>
Abide by Mastercard&rsquo;s security policies and practices;</li><li>
Ensure the confidentiality and integrity of the information being accessed;</li><li>
Report any suspected information security violation or breach, and</li><li>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</li></ul></div>

Product Operations Manager - Analytics and Promotions

Projecttech

<div><div><div><div>Location: Riyadh, Saudi Arabia
 
Industry: Agro-food sector
 
Employment Status: Valid Iqama required
Availability: ASAP
Role Overview
We are seeking a Senior Digital Supply Chain Manager to lead and drive digital transformation initiatives across a specialty food supply chain.
 
The role is focused on systems architecture, data quality, advanced analytics, and decision-support tools, with the objective of improving planning accuracy, operational performance, and end-to-end supply chain visibility.
This position requires a strong combination of supply chain expertise, digital capabilities, and business-oriented leadership.
Key Responsibilities
Digital Solutions &amp; Systems
<ul><li>Design, deploy, and continuously improve digital supply chain solutions aligned with business objectives.</li>
<li>Identify, evaluate, and implement appropriate systems, tools, and technologies (ERP, APS, analytics platforms).</li>
<li>Act as a bridge between business needs and technical solutions.</li>
</ul>Data Management &amp; Governance
<ul><li>Lead master data cleaning, structuring, and governance across supply chain systems.</li>
<li>Ensure data accuracy, consistency, and reliability to support decision-making.</li>
<li>Define data standards and best practices in collaboration with stakeholders.</li>
</ul>Analytics &amp; Decision Support
<ul><li>Develop and maintain KPI dashboards and performance reports using Power BI.</li>
<li>Apply advanced analytics and AI-driven insights to enhance demand planning, supply planning, and operational execution.</li>
<li>Translate complex data into actionable insights for senior management.</li>
</ul>Business Collaboration &amp; Continuous Improvement
<ul><li>Work closely with supply chain, operations, planning, and IT teams to capture requirements and deliver value-driven solutions.</li>
<li>Support automation, digitalization, and continuous improvement initiatives across the supply chain.</li>
<li>Promote a data-driven culture and support change management efforts.</li>
</ul>Required Qualifications
<ul><li>10&ndash;15 years of experience in supply chain systems, digital transformation, or supply chain analytics.</li>
<li>Strong expertise in Power BI, data modeling, and analytics.</li>
<li>Proven experience with ERP, APS, and/or supply chain planning systems.</li>
<li>Background in food or FMCG supply chains is highly preferred.</li>
<li>Strong problem-solving, analytical, and communication</li>
<li>Ability to operate at both strategic and hands-on levels in a complex environment.</li>
<li>Fluency in English; Arabic proficiency is an advantage.</li>
</ul>Key Competencies
<ul><li>Digital supply chain transformation</li>
<li>Data governance and analytics leadership</li>
<li>Business-to-technology translation</li>
<li>Strategic thinking and execution</li>
<li>Cross-functional collaboration</li>
<li>Continuous improvement and automation mindset</li>
</ul></div><div><div><div><div>Job Category: Agro-food
</div><div>Job Type: Management
</div><div>Job Location: Riyadh Saudi Arabia</div></div></div></div></div></div></div>

Senior Digital Supply Chain Manager (J26-012)

The Home Depot

<div>Position Purpose:
This Manager Decision Analytics position manages people and processes related to the development of advanced analytics to support the company's strategic objectives. This role is responsible for the end-to-end development and integration of data products, with a specific focus on CRM related data and its seamless integration with our Enterprise Data Warehouse (EDW). The ideal candidate will possess exceptional SQL, data visualization, and analytical skills to not only develop but also to effectively communicate data-driven insights. A key function of this role will be to collaborate closely with stakeholders to define the intent and logic of data updates, ensuring they align with business expectations before production work begins. Furthermore, this individual will be tasked with curating and translating business requirements into actionable Jira stories for our EDW engineers, acting as a critical bridge between our business and technical teams. 
Key Responsibilities:<ul><li>
40% Collaborate with stakeholders, business partners, colleagues, developers and business analysts to deliver high quality analytics solutions</li><li>
45% Data analytics with large volumes of data, using a wide variety of database applications / analytical tools including SQL, SAS, R, and python</li><li>
5% Data cleansing, validation, testing</li><li>
5% Enhancements / modifications to systems &amp; procedures</li><li>
5% Supporting end users, problem solving, troubleshooting</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Reports to a Sr Manager, Decision Analytics.</li><li>
This position has 1 direct report</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Master's degree in Analytics, Finance, or Information Systems or related field is preferred</li><li>
Five to seven years of experience in analytics is preferred</li><li>
Experience in SQL, SAS, Tableau, R, python and similar tools preferred</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
4</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
None</li></ul></div>

Manager Decision Analytics

Zain

<div>About the Role 
SUMMARY ROLE
The Business Data Analytics Analyst / Professional supports the development of reports, datasets, dashboards, and analytical outputs that address business data and reporting requirements. The role works with senior analysts to translate business needs into data solutions by identifying relevant data sources, analyzing datasets, and generating insights that support operational monitoring and business decision-making. This position also contributes to improving data quality and ensuring the accuracy and reliability of analytical deliverables.
RESPONSIBILITIES<ul><li>
Support the collection and analysis of business data requirements, including business processes and business logic.</li><li>
Assist in identifying appropriate data sources, systems, and tools required to fulfill reporting and analytics needs.</li><li>
Develop and maintain reports, dashboards, and data objects using proper BI platforms and solutions.</li><li>
Support the creation of 360-views of customer journey/experience and business interactions through integrated reporting solutions.</li><li>
Assist in automating operational processes, reports/analytical outputs, and data anomaly detection mechanisms while ensuring data accuracy.</li><li>
Perform data preparation activities including data extraction, cleaning, transformation, and integration from multiple un-/structured data sources.</li><li>
Support advanced analytics initiatives by preparing datasets and engineered features for analytical modeling.</li><li>
Support in development and operation of advanced analytics solutions of machine learning and AI models to turn data into value to address business needs and enrich BI capability</li><li>
Handle customer complaints and service requests (related to reporting and data analysis) within defined SLA while achieving highest level of quality and data accuracy in response.</li><li>
Conduct testing and validation to ensure data accuracy, completeness, reliability, and quality.</li><li>
Provide support by participating in cross functional teams of projects required data and analytics function.</li><li>
Contribute to maintaining data definitions, metadata documentation, and KPI catalog in alignment with the organization's data governance framework.</li><li>
Maintain and create knowledge of organizational content in data, analytics techniques, BI tools, data development, and best practices.</li><li>
Support measurement of Zain performance across business domains to guide the process of Zain activities in co-ordination with relevant stakeholders, draw the SMART road map of the enterprise business intelligence unit, and align Zain and BI vision and missions
</li><li>Perform all the above-mentioned roles and responsibilities in compliance to the Information Security Management System (ISMS) policies and report any information/physical security breaches or incidents to the supervisor/manager immediately</li><li>
Be aware of, and adhere to, all environmental requirements as set by the statutory bodies in Kuwait, or by the published policies of Zain Group/Kuwait</li></ul>
Zain abides by fulfilling the occupational health and safety certificate requirements that establishes and maintains an OH&amp;S management system that eliminate hazards and minimizes OH&amp;S risks (including system deficiencies), take advantage of OH&amp;S opportunities and addresses OH&amp;S management system nonconformities associated with its activities
What We Need From You 
SKILLS<ul><li>
Ability to communicate, present and influence all levels of the organization</li><li>
Excellent verbal and written communications skills</li><li>
Proficiency in agile methodologies</li><li>
Knowledgeable in order management systems within the telecom industry</li><li>
Knowledge of support processes specific to the telecom industry</li><li>
Advanced Microsoft Office toolkit (Excel, pptx)</li><li>
Knowledge of development and development process.</li><li>
Data analytics and visual analytics (Power BI, Tableau, Google Analytics)</li><li>
Competency in P-/SQL, Shell Script, Big Data, Python, R, Data Analysis, ETL is preferred</li><li>
Strong digital and analytical skillset</li><li>
Customer journey design experience</li><li>
Good negotiation, interpersonal and customer care skills</li><li>
Strong problem-solving skills and ability to identify and frame key issues</li><li>
Excellent interpersonal organizational and project management skills</li><li>
Great people management skills and knowledge</li></ul>
High reliability in executing tasks within expected timeframe and to expected quality standards
Education
Computer Science, Information systems, or a related field
Bachelor's Degree</div>

Business Data Analytics

Pella

<div>Associate Data Engineer
Urbandale, IA (hybrid)
The Associate Data Engineer supporting Digital, Marketing, and Pro CX at Pella is responsible for building and maintaining the data foundations that enable scalable, reliable analytics across customer experience, digital performance, and marketing functions. This role focuses on designing data pipelines, transforming and modeling data, and ensuring high-quality, well-governed data is available for analytics, reporting, and advanced use cases.
This individual will work cross-functionally with the Digital team, Marketing team, and Pro CX team to support a wide range of analytics needs, including digital performance measurement, customer journey analysis, and marketing effectiveness. While not embedded within a single function, the role plays a critical part in enabling these teams by delivering trusted, production-ready data that supports insight generation and decision-making across Pella.
In this role, you will:
<ul><li>Design, build, and maintain data pipelines that ingest data from digital, marketing, and enterprise systems into analytics platforms.
</li><li>Develop and manage data models that support analytics, reporting, and downstream use cases across Digital, Marketing, and Pro CX teams.
</li><li>Work closely with analysts, data scientists, and business partners to translate analytical requirements into scalable data solutions.
</li><li>Implement data transformations, validations, and quality checks to ensure data is accurate, consistent, and production-ready.
</li><li>Support analytics use cases by making data easily consumable for BI tools, dashboards, and advanced analytics.
</li><li>Partner with technology teams and vendors to integrate new data sources and evolve existing pipelines.
</li><li>Document data pipelines, models, definitions, and lineage to support data governance and reuse across the organization.
</li><li>Contribute to the ongoing improvement of Pella&rsquo;s analytics infrastructure, standards, and best practices.
</li>Assist in enabling the Digital, Marketing, and Pro CX teams by ensuring analytics data aligns with customer journeys, digital tools, and measurement frameworks. 
<li>
</li></ul>Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education and/or Experience
<ul><li>3+ years of experience in data engineering, analytics engineering, or a related technical analytics role.
</li><li>Strong experience working with BigQuery or comparable cloud data warehouse technologies.
</li><li>Proficiency in Python for data transformation, automation, and pipeline development.
</li><li>Working knowledge of R for analytical or statistical workflows is preferred.
</li><li>Strong SQL skills, including complex joins, aggregations, and performance optimization.
</li><li>Familiarity with digital and marketing data sources such as web analytics platforms, CRM systems, and advertising platforms.
</li><li>Experience supporting analytics and BI tools such as Looker Studio and Power BI.
</li><li>Understanding of data modeling concepts (e.g., star schemas, fact and dimension tables).
</li><li>Experience collaborating with analysts and stakeholders to support data-driven decision-making.
</li>Ability to clearly communicate technical concepts to both technical and non-technical audiences. 
<li>
</li></ul>Preferred Experience
<ul><li>Experience with Google Analytics, Google Tag Manager, Salesforce, Fullstory, and other digital or customer data platforms.
</li><li>Familiarity with data governance, documentation, and metadata management.
</li><li>Exposure to cloud-based data ecosystems and modern analytics architectures.
</li><li>Experience supporting cross-functional teams such as Digital, Marketing, Customer Experience, or E-commerce.</li></ul></div>

Associate Data Engineer

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