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data engineer ii [t500-20274] Jobs in Hyderabad

data engineer ii [t500-20274]

data engineering lead

McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 Looking to hire a Data Engineer at the G4 level who has a deep understanding of Data Product Lifecycle, Standards and Practices. Will be responsible for building scalable and efficient data solutions to support the Brand Marketing / Menu function with a specific focus on the Menu Data product and initiatives. As a Data Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Leads initiatives to enable trusted Menu data, supports decision-making, and partners with business and technology teams to deliver scalable data solutions that drive insights into menu performance, customer preferences, and marketing effectiveness. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable Menu data products that support menu and marketing Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
 </li>
 <li>
 Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products.
 </li>
 <li>
 Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets.
 </li>
 <li>
 Drive and implement best practices for pipeline development, data governance, data security and quality across marketing and menu-related datasets.
 </li>
 <li>
 Ensure scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs.
 </li>
 <li>
 Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
 </li>
 <li>
 Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 Leads teams to drive scalable data engineering practices and technical excellence within the Menu Data ecosystem.
 </li>
 <li>
 Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
 </li>
 <li>
 5+ years of professional experience in data engineering or related fields
 </li>
 <li>
 Proficiency in Python, Java, or Scala for data processing and automation
 </li>
 <li>
 Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
 </li>
 <li>
 Expert knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
 </li>
 <li>
 Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
 </li>
 <li>
 Proven ability to mentor team members and lead technical initiatives across multiple workstreams
 </li>
 <li>
 Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
 </li>
 <li>
 Demonstrated experience in data management &amp; data governance capabilities
 </li>
 <li>
 Familiarity with data warehousing principles and best practices.
 </li>
 <li>
 Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
 </li>
 <li>
 Excellent collaboration skills to work effectively in cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Data Engineer III [T500-20271]

Data Engineer III [T500-20127]

Enterprise Minds, Inc

<div>
 
 Data Scientists / Data Visualization Experts (Python) &amp; Data Engineers
 
 
 
 
 
 📍
 
 Location:
 
 Remote (Work from Anywhere)
 
 
 💼
 
 Experience:
 
 8&ndash;10 years
 
 
 
 
 
 ⚡
 
 Proficiency Level:
 
 Lead / Senior (Production-level coding)
 
 
 
 About the Role
 
 
 
 We are looking for highly skilled
 
 Data Scientists, Data Visualization Experts (Python), and Data Engineers
 
 to join our team on a
 
 remote contingent project
 
 . This role is focused on building high-quality
 
 datasets and visualizations for LLM (Large Language Model) training
 
 .
 
 
 You will play a critical role in:
 
 <ul>
 <li>
 Designing and creating advanced
 
 visualizations
 
 .
 </li>
 <li>
 Replicating dashboards from existing images.
 </li>
 <li>
 Conducting
 
 insight evaluation
 
 and prompt creation.
 </li>
 <li>
 Writing
 
 production-grade Python code
 
 for scalable data workflows.
 </li>
 </ul>
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 data pipelines
 
 and visualization assets.
 </li>
 <li>
 Build dashboards and replicate designs from provided visuals.
 </li>
 <li>
 Perform
 
 data wrangling, cleaning, and transformation
 
 for ML readiness.
 </li>
 <li>
 Apply strong
 
 analytical reasoning
 
 to extract meaningful insights.
 </li>
 <li>
 Ensure production-quality code for
 
 scalable and reliable solutions
 
 .
 </li>
 </ul>
 
 
 Required Skills
 
 
 <ul>
 <li>
 
 Python
 
 : pandas, matplotlib, plotly, bokeh, dash
 </li>
 <li>
 
 Data wrangling &amp; transformation
 
 </li>
 <li>
 
 Data visualization &amp; dashboarding
 
 </li>
 <li>
 
 Data engineering workflows
 
 </li>
 <li>
 Strong
 
 analytical and problem-solving skills
 
 </li>
 </ul>
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 8&ndash;10 years of hands-on experience in
 
 Data Science / Data Engineering / Data Visualization
 
 .
 </li>
 <li>
 Ability to operate at a
 
 lead level
 
 and deliver production-ready code.
 </li>
 <li>
 Strong communication and collaboration skills in a
 
 remote team environment
 
 .
 </li>
 </ul>
 
 
</div>

Data Scientist

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 Senior Manager, Integrated Test Lead &ndash; Data Product Engineering &amp; Delivery
 
 
 
 
 (Sr Manager, Technology Testing)
 
 
 
 Lead comprehensive testing strategy and execution for complex data engineering pipelines and product delivery initiatives. Drive quality assurance across integrated systems, data workflows, and customer-facing applications while coordinating cross-functional testing efforts.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 
 
 Test Strategy &amp; Leadership:
 
 
 <ul>
 <li>
 Design and implement end-to-end testing frameworks for data pipelines, ETL / ELT processes, and analytics platforms
 </li>
 <li>
 Ensure test coverage across ETL / ELT, data transformation, lineage and consumption layers
 </li>
 <li>
 Develop integrated testing strategies spanning multiple systems, APIs, and data sources
 </li>
 <li>
 Establish testing standards, methodologies, and best practices across the organization
 </li>
 </ul>
 
 
 
 
 
 Data Engineering Testing:
 
 
 <ul>
 <li>
 Create comprehensive test suites for data ingestion, transformation, and output validation
 </li>
 <li>
 Design data quality checks, schema validation, and performance testing for large-scale datasets
 </li>
 <li>
 Implement automated testing for streaming and batch data processing workflows
 </li>
 <li>
 Validate data integrity across multiple environments and systems and against business rules
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Coordination:
 
 
 <ul>
 <li>
 Collaborate with data engineers, software developers, product managers, and DevOps teams
 </li>
 <li>
 Coordinate testing activities across multiple product streams and release cycles
 </li>
 <li>
 Manage testing dependencies and critical path items in complex delivery timelines
 </li>
 </ul>
 
 
 
 
 
 Quality Assurance &amp; Process Improvement:
 
 
 <ul>
 <li>
 Establish metrics and KPIs for testing effectiveness and product quality to drive continuous improvement in testing processes and tooling
 </li>
 <li>
 Lead root cause analysis for production issues and testing gaps
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership:
 
 
 <ul>
 <li>
 Mentor junior QA engineers and promote testing best practices
 </li>
 <li>
 Evaluate and implement new testing tools and technologies
 </li>
 <li>
 Design scalable testing infrastructure and CI/CD integration
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 10+ years in software testing with 3+ years in leadership roles
 </li>
 <li>
 8+ year experience testing data engineering systems, ETL pipelines, or analytics platforms
 </li>
 <li>
 Proven track record with complex, multi-system integration testing
 </li>
 <li>
 Experience in agile/scrum environments with rapid delivery cycles
 </li>
 <li>
 Strong SQL experience with major databases (Redshift, Bigquery, etc.)
 </li>
 <li>
 Experience with cloud platforms (AWS, GCP) and their data services
 </li>
 <li>
 Knowledge of data pipeline tools (Apache Airflow, Kafka, Confluent, Spark, dbt, etc.)
 </li>
 <li>
 Proficiency in data warehousing, data architecture, reporting and analytics applications
 </li>
 <li>
 Scripting languages (Python, Java, bash) for test automation
 </li>
 <li>
 API testing tools and methodologies
 </li>
 <li>
 CI/CD/CT tools and practices
 </li>
 <li>
 Strong project management and organizational skills
 </li>
 <li>
 Excellent verbal and written communication abilities
 </li>
 <li>
 Experience managing multiple priorities and competing deadlines
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Sr. Manager, Technology Testing [T500-20067]

TechnipFMC

<div>
 TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration &ndash; and we want you to be part of it. You&rsquo;ll be joining a culture that values curiosity, expertise, and ideas as well as diversity, inclusion, and authenticity. Bring your unique energy to our team of more than 20,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go.
 
 
 
 Job Purpose
 
 
 
 Data Analyst plays a crucial lead role in managing and optimizing business intelligence solutions using Power BI.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Interface with Business Owner, Project Manager, Planning Manager, Resource Managers etc.
 </li>
 <li>
 Execution of complex data analytics projects.
 </li>
 <li>
 Data Modeling and Integration: Develop complex data models, establish relationships, and ensure data integrity. Oversee data integration from various sources.
 </li>
 <li>
 Advanced Analytics: Perform advanced data analysis using DAX (Data Analysis Expressions) and other analytical tools to derive insights and support decision-making.
 </li>
 <li>
 Collaboration: Work closely with stakeholders to gather requirements, define data needs, and ensure the delivery of high-quality BI solutions.
 </li>
 <li>
 Performance Optimization: Optimize solutions for performance, ensuring efficient data processing and report rendering.
 </li>
 <li>
 Data Security: Implement and maintain data security measures, ensuring compliance with data protection regulations.
 </li>
 <li>
 Demonstrated experience of leading complex projects with a team of varied experience levels.
 
 
 </li>
 </ul>
 
 You Are Meant For This Job If
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 Experience in working with unstructured data and data integration.
 </li>
 <li>
 Technical Skills: Proficiency in Power BI, DAX, SQL, and data modeling, exposure to data engineering. Experience with data integration tools and ETL processes.
 </li>
 <li>
 Hands-on experience with Snowflake
 </li>
 <li>
 Experience: 3-5 years of experience in business intelligence and data analytics, with a focus on Power BI.
 </li>
 <li>
 Soft Skills: Strong analytical and problem-solving skills, excellent communication abilities, and the capacity to lead and collaborate with global cross-functional teams.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 Data Modelling
 
 
 Business Process Knowledge
 
 
 Data Mgmt Integration
 
 
 SQL
 
 
 Data Administration
 
 
 Data Analysis
 
 
 Digital Ethics
 
 
 Statistical and Mathematical Analysis
 
 
 Domain Knowledge
 
 
 Business Problem Analysis
 
 
 Digital Literacy
 
 
 Data Architecture
 
 
 Data Engineering
 
 
 Data Preparation
 
 
 Data Platform - Snowflake
 
 
 Data Visualization
 
 
 Interpersonal skills
 
 
 Industry and Domain Knowledge
 
 
 Computer Programming
 
 
 Test Driven Development
 
 
 
 
 Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes diversity, equity, and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, sexual orientations, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matters and we encourage you to add to our culture.
 
 
 
 
 
 TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain.
 
 
</div>

Data Analyst I

PepsiCo

<div>
 
 
 Overview
 
 
 
 PepsiCo is seeking a strategic and visionary Generative AI Solutions leader to lead transformative AI initiatives across Consumer, Commercial, and Reporting functions. This role will focus on designing scalable AI-driven business solutions, driving global change management, and aligning AI initiatives to enterprise goals. The ideal candidate brings deep domain experience, cross-functional leadership, and the ability to translate AI capabilities into measurable business outcomes&mdash;without managing the underlying AI platforms.
 
 
 
 Responsibilities
 
 
 
 
 AI Transformation Strategy &amp; Road mapping
 
 
 
 Lead the definition and execution of enterprise-wide strategies for Consumer AI, Commercial AI, and Reporting AI use cases.
 
 
 Identify, prioritize, and solution complex AI-powered business opportunities aligned with PepsiCo's digital agenda.
 
 
 Translate market trends, AI capabilities, and business needs into an actionable Generative AI roadmap.
 
 
 
 Solution Design &amp; Cross-Functional Orchestration
 
 
 
 Drive cross-functional solutioning using Gen-AI and Agentic AI capabilities and platforms of PepsiCo.
 
 
 Collaborate with business, data, and engineering teams to craft impactful AI agent-based solutions for Commercial and consumer facing functions including Marketing &amp; R&amp;D.
 
 
 Architect and design future AI solutions leveraging agentic frameworks.
 
 
 Collaborate with engineering teams to provide the necessary features for building.
 
 
 Work closely with Enterprise Architecture and Cloud Architecture teams to build scalable architecture.
 
 
 
 Leadership, Influence, and Governance
 
 
 
 Act as the face of Generative AI solutioning for senior executives and transformation leaders.
 
 
 Drive alignment across global and regional teams for solution design, prioritization, and scale-up.
 
 
 Provide technical leadership and mentorship to the AI engineering team.
 
 
 Stay up to date with the latest advancements in AI and related technologies.
 
 
 Drive innovation and continuous improvement in AI platform development.
 
 
 Ensure solutions meet enterprise standards for Responsible AI, data privacy, and business continuity.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 15+ years of experience in enterprise AI, digital transformation, or solution architecture, with a track record of leading AI-powered business programs.
 </li>
 <li>
 Strong understanding of Consumer/Commercial business functions and how to apply AI to transform them (sales, marketing, supply chain, insights, reporting).
 </li>
 <li>
 Demonstrated experience designing Gen-AI or multi-agent solutions, using orchestration frameworks like LangGraph, CrewAI, AutoGen, or Temporal.
 </li>
 <li>
 Deep capability in AI-powered reporting, scenario modeling, insight generation, and intelligent automation.
 </li>
 <li>
 Proven success in change management, stakeholder engagement, and global rollout of strategic programs.
 </li>
 <li>
 Excellent communication and influences
 </li>
 </ul>
</div>

Associate Director, Generative AI

<div>
 
 Job Description
 
 
 
 
 Associate Director, Data Science
 
 
 
 As an Associate Director in Data Science Market Activation , you will be focused to lead our data science team and drive the development and implementation of innovative data-driven strategies. This role is critical to shaping our data science initiatives, building advanced analytical models, and collaborating cross-functionally to enhance decision-making processes across the organization.
 
 
 Associate Director is expected to lead a function of data scientist. Is accountable for business delivery, growth, value realization and strategy. Availability in office is MUST and Expected to lead on below aspects.
 
 
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Functional R&amp;R
 </li>
 <li>
 Be thought leader to our Business Engagement Leads and Marketing team to understand the business problem and provide consultative and analytical solution
 </li>
 <li>
 Should have strong understanding of Pharma healthcare industry and therapy knowledge
 </li>
 <li>
 Design &amp; build predictive models to forecast patient outcomes, such as readmission risk, disease progression, or response to treatment, enabling proactive care management.
 </li>
 <li>
 Strong subject matter expertise in Data Science and Statistical Models, Experience to drive patient, HCP, Payer and Consumer related analytics. Strong hands on with US datasets, IQVIA, Komodo, Epsilon, McKesson and others. MUST have experience in new launch analytics and GTM strategy.
 </li>
 <li>
 Identify &amp; define HCP segmentation and targeting, micro segmentation by content, call planning
 </li>
 <li>
 Analyze longitudinal healthcare data to track patient journeys over time, providing insights into disease progression and treatment efficacy.
 </li>
 <li>
 Ensure data solutions are interoperable across different healthcare systems and platforms, facilitating seamless data exchange and collaboration.
 </li>
 <li>
 Collaborate with data engineering, data science &amp; IT teams to deliver business friendly dashboard &amp; reporting solutions
 </li>
 <li>
 Evaluate the effectiveness of treatments and interventions by analyzing patient outcomes data to inform clinical decision-making and improve care quality
 </li>
 <li>
 Should be hands on with Python, SQL, Databricks, Dataiku and other platforms. Should have product mindset to build process and analytical solution as enterprise products
 </li>
 <li>
 Provide thought leadership and data science best practices to the broader Data &amp; Analytics organization
 </li>
 <li>
 Provide training &amp; coaching to internal stakeholders to enable a self-service operating model
 </li>
 <li>
 Co-create information governance &amp; apply data privacy best practices to solutions
 </li>
 <li>
 Continuously innovative on best practices &amp; technologies by reviewing external resources &amp; marketplace
 </li>
 <li>
 People Management R&amp;R
 </li>
 <li>
 </li>
 <li>
 Leadership Provide leadership, guidance, and mentorship to Senior Managers and Managers of analysts and data scientists. and create opportunities for professional growth.
 </li>
 <li>
 </li>
 <li>
 Team Culture Foster a collaborative and inclusive team environment, encouraging knowledge sharing and professional growth, timely connect with associates and respect for opinion from all.
 </li>
 <li>
 </li>
 <li>
 Recruitment Participate in the recruitment process by identifying talent needs, interviewing candidates, and making hiring decisions.
 </li>
 <li>
 </li>
 <li>
 Capability Building Develop training programs and initiatives to enhance the skills and capabilities of team members in alignment to their career aspiration and organizational demand and scalability.
 </li>
 <li>
 </li>
 <li>
 Performance Management Set clear performance expectations, conduct regular performance evaluations, and provide timely feedback to team members being assertive and clear.
 </li>
 <li>
 </li>
 <li>
 Career Development Work with team members to define career goals and create development plans to support their advancement within the organization in alignment with their aspirations.
 </li>
 <li>
 </li>
 <li>
 Cross-functional Collaboration Collaborate with other departments and teams to ensure alignment on analytics initiatives and projects
 </li>
 <li>
 </li>
 <li>
 Recognize Talent Create platform for talent showcasing and visibility. Reward and recognizing for their contributions
 </li>
 <li>
 </li>
 <li>
 People Engagement Engage with team members, create speak up and cohesive culture
 </li>
 <li>
 Business Management R&amp;R
 </li>
 <li>
 </li>
 <li>
 Strategy Development Contribute to the development of the analytics strategy aligned with the overall business objectives.
 </li>
 <li>
 </li>
 <li>
 Project Management Oversee the planning demand, execution, and delivery of analytics projects, ensuring they are completed on time and within budget.
 </li>
 <li>
 </li>
 <li>
 Insights Delivery Ensure the delivery of actionable insights and recommendations to key stakeholders to drive business decisions.
 </li>
 <li>
 </li>
 <li>
 Data Governance Establish and enforce data governance policies and procedures to ensure data quality, integrity, and security.
 </li>
 <li>
 </li>
 <li>
 Performance Measurement Define key performance indicators (KPIs) and metrics to measure the effectiveness of analytics initiatives and track progress against business goals. Measure P&amp;L of the function.
 </li>
 <li>
 </li>
 <li>
 Continuous Improvement Identify opportunities for process optimization and efficiency gains within the analytics function.
 </li>
 <li>
 </li>
 <li>
 Risk Management Identify and mitigate risks associated with analytics projects, such as data privacy and security risks.
 </li>
 <li>
 Organization R&amp;R
 </li>
 <li>
 </li>
 <li>
 Organization Vision Understand organization and leadership to map team strategy accordingly.
 </li>
 <li>
 </li>
 <li>
 Stakeholder Engagement Build and maintain relationships with key stakeholders across the organization to understand their analytics needs and priorities. Brand HHDDA services and support to help them scale business initiatives.
 </li>
 <li>
 </li>
 <li>
 Resource Allocation Allocate resources effectively to prioritize and support high-impact analytics projects.
 </li>
 <li>
 </li>
 <li>
 Budget Management Develop and manage the analytics budget, ensuring resources are allocated efficiently and cost-effectively.
 </li>
 <li>
 </li>
 <li>
 Communication Communicate analytics findings, insights, and recommendations effectively to non-technical stakeholders in a clear and concise manner.
 </li>
 <li>
 </li>
 <li>
 Change Management Lead change management efforts related to the adoption of analytics tools, processes, and methodologies within the organization.
 </li>
 <li>
 </li>
 <li>
 Compliance Ensure compliance with relevant regulations and industry standards related to data analytics and privacy.
 
 
 </li>
 </ul>
 
 Required Experience And Skills
 
 
 
 <ul>
 <li>
 </li>
 <li>
 12+ years relevant experience in data Science, consulting, analytics and data modelling with storytelling and people management
 </li>
 <li>
 </li>
 <li>
 Working experience and knowledge in pharma dataset leveraging, Python, SQL, DataBricks DataIKU and other data science technologies
 </li>
 <li>
 </li>
 <li>
 Working experience and knowledge in ETL process, data modeling techniques &amp; platforms
 </li>
 <li>
 </li>
 <li>
 Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) &amp; data processing languages (SQL, Python, R, etc.)
 </li>
 <li>
 </li>
 <li>
 Experience in leveraging and managing third party vendors and contractors
 </li>
 <li>
 </li>
 <li>
 Self-motivation, proactivity, and ability to work independently with minimum direction
 </li>
 <li>
 </li>
 <li>
 Excellent interpersonal and communication skills
 </li>
 <li>
 </li>
 <li>
 Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively
 </li>
 <li>
 </li>
 <li>
 Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity
 </li>
 <li>
 </li>
 <li>
 Experience in Pharma and or Biotech Industry is a plus
 
 
 </li>
 </ul>
 Our Human Health Division maintains a &ldquo;patient first, profits later&rdquo; ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.
 
 
 We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another&rsquo;s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.
 
 
 Current Employees apply HERE
 
 
 Current Contingent Workers apply HERE
 
 
 
 Search Firm Representatives Please Read Carefully
 
 
 
 Merck &amp; Co., Inc., Rahway, NJ, USA, also known as Merck Sharp &amp; Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
 
 
 
 Employee Status
 
 
 
 Regular
 
 
 
 Relocation
 
 
 
 
 VISA Sponsorship
 
 
 
 
 Travel Requirements
 
 
 
 
 Flexible Work Arrangements
 
 
 
 Not Applicable
 
 
 
 Shift
 
 
 
 
 Valid Driving License
 
 
 
 
 Hazardous Material(s)
 
 
 
 
 Required Skills
 
 
 
 Analytics Strategy, Business Intelligence (BI), Business Management, Communication, Database Design, Data Engineering, Data Governance, Data Modeling, Data Science, Data Visualization, Key Performance Indicators (KPI), Machine Learning, Management Process, Marketing, Organizational Performance Management, People Management, Performance Measurement, Project Management, Resource Allocation, Self Motivation, Software Development, Stakeholder Engagement, Stakeholder Relationship Management, Waterfall Model
 
 
 
 Preferred Skills
 
 
 
 
 Job Posting End Date
 
 
 
 09/30/2025
 
 
 <ul>
 <li>
 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
 
 
 </li>
 </ul>
 
 Requisition ID
 
 R365230
</div>

Assoc. Dir, Data Science Market Activation

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