software engineer

data scientist

data analyst

data analyst i

data analyst irc267968

data management engineer

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]

<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.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable data products that support Finance 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 and data engineering initiatives supporting Finance Analytics, ensuring timely and accurate delivery of financial data products.
 </li>
 <li>
 Drive and implement best Data Engineering practices for pipeline development, data governance, data security and quality across financial datasets.
 </li>
 <li>
 Implement security and privacy controls in data workflows, ensuring compliance with finance regulatory requirements.
 </li>
 <li>
 Monitor, troubleshoot, and improve performance and reliability of existing finance data pipeline infrastructure.
 </li>
 <li>
 Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving financial analytics needs.
 </li>
 <li>
 Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
 </li>
 <li>
 Partner and collaborate with data engineers, particularly in finance-centric data models and processing frameworks.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 
 Applies technical data engineering expertise to develop reliable pipelines and improve data quality in support of finance and analytics initiatives
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
 </li>
 <li>
 3+ 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>
 Good working 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>
 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 hours:
 
 
 
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Data Engineer II [T500-20274]

Experian

<div>
 
 
 Company Description
 
 
 
 
 Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.
 
 
 We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
 
 
 We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.co
 
 m
 
 
 
 
 
 Job Description
 
 
 
 
 
 Job description
 
 
 
 We are looking for a Senior QA Engineer to join our Ascend Cloud Foundation Platform team.
 
 
 
 Background:
 
 
 
 We unlock the power of data to create opportunities for consumers, businesses and society. At life&rsquo;s big moments &ndash; from buying a home or car, to sending a child to university, to growing a business exponentially by connecting it with new customers &ndash; we empower consumers and our clients to manage their data with confidence so they can maximize every opportunity.
 
 
 We're looking for a Senior QA Engineer to join our team and help ensure the quality of our cloud-based applications. You&rsquo;ll bring a strong background in test automation, AWS batch processing, and large-scale backend systems, and thrive in agile environments. As a key member of the QA team, you&rsquo;ll contribute to test planning, develop automation frameworks, and collaborate closely with cross-functional teams to uphold high quality standards.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Participate in defining and executing test plans and strategies
 </li>
 <li>
 Design, develop, and maintain automated test scripts and frameworks
 </li>
 <li>
 Ensure comprehensive test coverage across functional, integration, regression, and performance testing
 </li>
 <li>
 Collaborate with developers, product managers, and DevOps to integrate quality throughout the SDLC
 </li>
 <li>
 Contribute to CI/CD pipeline integration for automated testing
 </li>
 <li>
 Support defect triaging and root cause analysis
 </li>
 <li>
 Advocate for best practices in testing, including shift-left approaches
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer science, Engineering, or related field
 
 
 </li>
 </ul>
 
 Required Skills/ Experience:
 
 
 
 <ul>
 <li>
 5+ years of experience in Quality Assurance, with at least 1&ndash;2 years in a senior or advanced role
 </li>
 <li>
 Solid understanding of QA methodologies, agile testing, and SDLC practices
 </li>
 <li>
 Hands-on experience with automation tools such as Selenium, Cypress, or similar
 </li>
 <li>
 Familiarity with CI/CD tools like Jenkins or Bamboo
 </li>
 <li>
 Experience with API testing and SQL
 </li>
 <li>
 Working knowledge of AWS services such as Glue, S3, Step Functions, Lambdas, EventBridge, and SQS
 </li>
 <li>
 Proficiency in at least one programming/scripting language (e.g., Java, Python, Scala, JavaScript)
 </li>
 <li>
 Experience with BDD/TDD frameworks
 
 
 </li>
 </ul>
 
 Advantageous Experience:
 
 
 
 <ul>
 <li>
 Experience with Big Data testing
 </li>
 <li>
 Mentor Junior QA engineers
 </li>
 <li>
 Proficiency in SQL and Data validation
 </li>
 <li>
 Knowledge of Performance Testing tools
 </li>
 <li>
 Familiarity to AI/ML Model Testing
 </li>
 <li>
 Basic understanding of security testing
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer science, Engineering, or related field
 
 
 </li>
 </ul>
 
 
 Additional Information
 
 
 
 
 Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Global Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 
 
 Benefits
 
 
 
 
 Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
</div>

Senior QA Engineer

NxtWave

<div>
 
 
 Job Description:
 
 
 
 At NIAT, we believe in delivering practical, industry-relevant training that empowers students to become great developers. Our product developers are passionate about teaching, simplifying complex concepts, and creating inclusive learning environments for students. This is your chance to make a lasting impact on students who have just completed their 12th standard and are eager to excel as developers.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Deliver daily in-person classroom training on programming and/or full-stack development.
 </li>
 <li>
 Design, develop, and implement learning activities, materials, and resources that align with industry standards.
 </li>
 <li>
 Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program.
 </li>
 <li>
 Actively assist and resolve student queries and issues promptly, providing mentorship and guidance.
 </li>
 <li>
 Contribute to curriculum development and improvements based on student feedback and industry trends.
 </li>
 <li>
 Continuously develop and demonstrate a teaching philosophy that inspires student learning.
 </li>
 <li>
 Review student deliverables for accuracy and quality.
 </li>
 <li>
 Handle a class size of 70-100 students, ensuring engagement and effective learning outcomes.
 </li>
 <li>
 Stay current with professional development in both pedagogy and software development practices
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 A Masters degree (M.Tech) in CSE, IT, Data science,AI/ML,Software Engineer etc will be an added advantage.
 </li>
 <li>
 Having teaching or training experience in Computer Science is an added advantage.
 </li>
 <li>
 Passion for teaching and mentoring, with a commitment to student success.
 </li>
 <li>
 Alignment with NxtWaves vision and culture.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Skills Must-Have:
 
 
 <ul>
 <li>
 Professional fluency in English, with excellent communication and presentation skills.
 </li>
 <li>
 Strong proficiency in Python, Java, and JavaScript programming languages. Knowledge of additional programming languages is an added advantage.
 </li>
 <li>
 Strong proficiency in Data Structures and Algorithms.
 </li>
 <li>
 Strong knowledge of object-oriented programming.
 </li>
 <li>
 Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of Microsoft 365 stack is a plus).
 </li>
 <li>
 Ability to quickly learn and use technology platforms to interact with students.
 </li>
 <li>
 Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures.
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Familiarity with Git and version control systems.
 </li>
 <li>
 Strong knowledge of the subject matter, industry standards, and best practices in software development.
 </li>
 <li>
 Ability to adapt teaching methods to various learning styles &amp; requirements.
 </li>
 <li>
 Strong problem-solving and solution-seeking mindset.
 </li>
 <li>
 Openness to constructive feedback and continuous improvement.
 </li>
 <li>
 A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes.
 </li>
 </ul>
 
 
 
 Job Overview:
 
 
 
 
 
 Working days:
 
 6 days a week
 
 
 
 Industry Type:
 
 Education / Training
 
 
 
 Department:
 
 CSE
 
 
 
 Education PG:
 
 M.Tech in CSE or (Computer Science relevant branches)
 
 
 
</div>

Software Development Faculty Trainee

HSBC

<div>
 Job Description
 
 
 Some careers shine brighter than others.
 
 
 If you&rsquo;re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
 
 
 HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
 
 
 We are currently seeking an experienced professional to join our team in the role of Consultant Specialist.
 
 
 In this role, you will:
 
 
 This position is responsible for scoping, creating and maintaining functional &amp; technical requirements for Global Payments Solution (GPS) technology deliverables covering various product verticals like Payments, Liquidity and Receivables as part of Cross Border Cross Currency sub-value stream. Currently, the role focuses on the ongoing ISO 20022 migration program.
 
 
 The position will require the candidate to work collaboratively with various cross functional teams across GBGFs to identify &amp; assess / analyze the potential impact of the change execution project across Business outcomes covering payment processing, reporting capabilities and processes / procedures. This role is required to ensure that the delivery roadmap follows ISO20022 regulatory requirements.
 
 
 <ul>
 <li>
 Understand Business requirements / outcomes and translate them into technical deliverables / user stories across a wide array of products and technologies.
 </li>
 <li>
 Should have potential to elevate as subject matter expert (SME) on the ISO 20022 delivery covering payments &amp; cash management capabilities.
 </li>
 <li>
 Analyze and understand the current Payments &amp; the overall Cash Management product offerings within the bank and across the industry in general.
 </li>
 <li>
 Create Business model and logical data models for GPS products. Reverse engineer the business model on existing applications as appropriate to identify any risk / impact.
 </li>
 <li>
 Interface with and collaborate with various GBGF teams including technology, risk stewards, project steering committee members and other senior leadership teams to help identify, define and assess / analyze and implement the change tasks.
 </li>
 <li>
 Own end-to-end functionality and partner with the business &amp; technical teams to create, maintain the functional &amp; technical design for the various modules in the core assets.
 </li>
 <li>
 Identify, create and maintain functional &amp; technical requirements/user stories, user interface and service interface requirements as per the processes and tools like JIRA, Confluence established in the organization.
 </li>
 <li>
 Document and maintain EPICs, Use Stories, Functional Design, and System Specification. Follow the SDLC process established in the organization and create and maintain all relevant requirements artefacts
 </li>
 <li>
 Support development, testing to live (SIT, UAT, PVT, etc.) of the various projects.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 To be successful in this role, you should meet the following requirements:
 
 
 <ul>
 <li>
 10+ year minimum Business Analyst experience preferred with Enterprise level financial applications.
 </li>
 <li>
 10+ year minimum experience managing payment processing within Operations / Business and/or technology in a financial services industry. Technical know-how of cross border cross currency payment mechanism / processes.
 </li>
 <li>
 Good understanding of the payment schemes in the Middle East region and e2e payment journey for Cross Border Cross Currency payment schemes.
 </li>
 <li>
 Sound understanding of payment formats such as ISO 20022 (HVPS, CBPR+), SWIFT MT/MX standards. Ability to understand customer business process and requirements and translate into a functional / technical requirement across a wide array of products and technologies.
 </li>
 <li>
 Possess a customer focused attitude that leads to solving customer pain points in terms of payment processing. Prior experience with payments and wider cash management products. Prior experience with Agile Methodology and User Story writing in a detailed/simplest form to help core tech teams to understand the required development.
 </li>
 <li>
 Ability to draft process flows, user journeys, payment flow presentations, and activity diagrams. Expertise in Microsoft Office tools like MS Word, MS Excel, MS PowerPoint, MS Project and MS Visio. Good analytical and problem analysis skills. A strong commitment to quality and efficiency.
 </li>
 <li>
 Excellent multitasking ability - Must have the ability to manage and track multiple initiatives, effectively manage time and competing priorities, and to drive results through internal and partner organizations.
 </li>
 <li>
 Ability to Outline Solution &ndash; Work with vendors/partner teams to detail of the solution options, user journey, workflows, detailed data mapping and functional architecture elaboration. Support Testing &ndash; Assist in design of the functional use cases, scenarios for the test preparation and execution
 
 
 </li>
 </ul>
 The successful candidate will also meet the following requirements:
 
 
 <ul>
 <li>
 SWIFT training will be an added advantage.
 
 
 </li>
 </ul>
 You&rsquo;ll achieve more when you join HSBC.
 
 
 www.hsbc.com/careers
 
 
 HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
 
 
 Issued by &ndash; HSBC Software Development India
</div>

Business Analyst, ISO20022, Payments, Cash Management / Consultant Specialist

<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
 
 
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 <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
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Assoc. Dir, Data Science Market Activation

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