Statistical Analysis Jobs in Pune

Product Manager L-1 Location: Pune | Job Type: Full-Time | Department: Product Development Eshopbox is looking for a passionate and dedicated Product Manager L-1 to help drive the development and success of our products. In this role, you'll be responsible for the entire product lifecycle, from concept through execution. You ll collaborate closely with engineering, design, sales, and marketing teams to deliver solutions that meet customer needs and drive business outcomes. Key Responsibilities Product Lifecycle Management: Oversee the entire product lifecycle, from writing specifications to collaborating with cross-functional teams (design, engineering, marketing) to launch key product features. Planning & Execution: Manage the planning, scoping, execution, and delivery of multiple product development projects. Technical Oversight: Ensure technical implementation aligns with the product requirements and overall vision. Defining Product Architecture: Define the architecture, modules, interfaces, and data systems needed to meet product requirements. Product Strategy & Metrics: Develop and execute a product strategy that aligns with business goals, using data analysis to inform product decisions. Prioritization & Decision Making: Balance customer experience, technical constraints, and business drivers to make informed trade-offs. User-Centric Design: Gain a deep understanding of user needs, problems, and desires to shape product development. Prototyping & Documentation: Create product design prototypes and develop user manuals, help guides, and other support content. Cross-functional Leadership: Lead and interact with cross-functional teams to ensure smooth product development and delivery. What You ll Need Organizational & People Skills: Strong project management capabilities and the ability to work effectively with diverse teams. Technical Background: 1+ years of experience in software or product management roles, with a focus on project/program management. Agile & Scrum: Experience working in Agile environments, particularly with scrum methodology. Industry Knowledge: Previous experience in the internet or e-commerce industry is a plus, with exposure to SaaS-based tools. Learning & Adaptability: Quick to learn new concepts and tools with a strong desire for continuous self-improvement. Communication & Teamwork: Excellent communication and collaboration skills to work across multiple teams and stakeholders.

Business Development Specialist Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize their infrastructure with no upfront capital, funding and executing energy and equipment upgrades. Through Infrastructure Monetization, we enable clients to reinvest savings into growth, operating across 12,000+ sites globally with a mission-driven, fast-paced culture. Position Summary We are seeking a motivated Business Development Specialist (BDR) to join our sales development team. The ideal candidate excels at generating leads, building relationships, and supporting the sales pipeline within the technology and sustainability sectors. Key Responsibilities Lead Generation: Develop and implement outbound strategies via calls, emails, and social media to create new business opportunities. Lead Qualification: Identify and qualify potential leads from both outbound and inbound sources to ensure a high-quality sales pipeline. Target Account Research: Collaborate with Sales and Marketing to define and research key target accounts. Outreach: Make daily cold calls to new business accounts and manage the hand-off to sales executives. Market Analysis: Monitor market trends and optimize sales efforts to consistently achieve quotas and business objectives. Job Requirements Experience: 5+ years of sales experience, specifically in inside sales or telemarketing for US-based organizations. Communication: Strong verbal and written communication with the ability to handle objections and convert them into opportunities. Technical Skills: Knowledge of Salesforce or other CRM tools is highly advantageous. Industry Knowledge: Experience with Fortune 500 clients, US hospitals, or the building/energy sectors is a major plus. Education: Bachelor s degree in Business Administration, Marketing, or a related field. Perks & Benefits Wellbeing: Comprehensive health insurance, wellness apps, and mental health support. Financial: Competitive pay, performance bonuses, and equity participation. Flexibility: Generous PTO, hybrid work model, and family-first policies. Growth: Continuous learning programs and cross-functional growth opportunities. Qualification : Bachelors degree in Business Administration, Marketing, or a related field

Accounts Receivable Specialist Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize infrastructure through Infrastructure Monetization. Headquartered in Denver, we operate across 12,000+ sites in over 10 countries, focusing on measurable sustainability and operational impact. Position Summary Redaptive is seeking a self-motivated Accounts Receivable Specialist to join our Accounting Team in Pune. This role focuses on full-cycle Accounts Receivable activities, month-end close processes, revenue recognition, and collections, specifically supporting U.S.-based operations. Key Responsibilities Accounts Receivable & Analysis Manage full-cycle A/R activities: invoicing, payment application, and month-end close. Analyze A/R aging reports to identify trends, discrepancies, and areas for improvement. Conduct reconciliations to ensure accuracy in transactions and contract management. Collections & Reporting Proactively manage overdue invoices and resolve billing disputes with customers. Handle internal adjustments including credit memos, RMAs, and write-offs. Perform month-end duties: journal entries, deferred revenue, amortization schedules, and accruals. Generate regular Aging reports and respond to ad hoc financial requests. Collaboration & Audit Support Collaborate with sales, customer service, and finance to resolve collection issues. Maintain order records in Salesforce and assist with sales-type lease accounting. Prepare documentation for internal and external audits to ensure compliance. Required Skills & Qualifications Education: Bachelor s degree in Accounting or Finance (Master s preferred). Experience: 4 6 years of relevant A/R experience, preferably with U.S.-based organizations. Software: Proficiency in NetSuite and Microsoft Excel; experience with Salesforce is preferred. Core Knowledge: Strong understanding of accounting principles and revenue recognition. Attributes: Detail-oriented, proactive, and comfortable with flexible working hours. Perks & Benefits Financial: Competitive pay, performance bonuses, and equity participation. Wellbeing: Comprehensive health insurance and Employee Assistance Program. Flexibility: Hybrid work model and generous paid time off. Development: Access to curated learning programs and certifications. Qualification : Bachelors degree in Accounting or Finance (Masters preferred)

Position: Manager M2 / M3 (Vehicle Dynamics) Functional Unit: Vehicle Dynamics Location: Pune Department: Vehicle Dynamics About SRDI: SRDI is a trailblazer shaping the future of mobility through cutting-edge automotive research, IT, and product development. We are passionate pioneers committed to leveraging innovative technologies to create safer, smarter, and more sustainable transportation solutions. From sustainable mobility to connected vehicles, we are electrifying the future of mobility! At SRDI, we provide a dynamic environment where talent meets tomorrow s mobility. Whether you are an engineer, programmer, or strategist, we foster personal and professional growth while redefining the future of automotive technology where innovation meets sustainability. About Suzuki: Join a global automotive leader with over a century of innovation! Founded in 1909, Suzuki has 70,000 employees worldwide and has sold more than 3 million automobiles. With 31 production facilities across 21 countries, Suzuki offers a diverse range of products including automobiles, motorcycles, motorized wheelchairs, and electro-senior vehicles, sold in over 209 countries. Educational Qualifications: Graduation: B.Tech in Automobile / Mechanical / Electronics / Mechatronics Post-Graduation: M.Tech in Automobile / Mechanical / Electronics / Mechatronics Experience: Minimum: 3 years Maximum: 5 years Required: Experience in modeling and mechanism analysis using tools such as Adams, SolidWorks, RecurDyn, SIMPACK, or MotionSolve Job Responsibilities: Enhance vehicle development efficiency by visualizing specifications that achieve target performance. Develop and optimize CAE models for ride comfort, including elastic body modeling. Perform optimization calculations and analyze CAE data related to ride comfort. Conduct on-site deputation/training at Suzuki Motor Corporation, Japan (6 12 months). Software Knowledge: Adams MotionSolve RecurDyn SIMPACK SolidWorks Key Competencies & Skills: Modeling experience with mechanism analysis tools (Adams, SolidWorks, RecurDyn, SIMPACK, MotionSolve). Structural analysis using MSC.Nastran and Altair HyperWorks. 1D-CAE experience with MATLAB/Simulink, Modelica, or AMESim. Programming proficiency in MATLAB/Simulink, Excel, Python, or other numerical computing tools. Statistical knowledge for data analysis. Experience with AI and machine learning applications in vehicle dynamics. Vehicle motion analysis using CarSim or CarMaker. Experience in MBD development at OEMs. Japanese language proficiency preferred. Hands-on experience with sensory evaluation of steering stability and ride comfort. Performance development experience related to steering stability and ride comfort in mass production vehicles. Practical knowledge of vehicle operation stability through real-world experiments and data analysis. Soft Skills: Team collaboration Conceptual thinking and analytical ability Strong communication and presentation skills Problem-solving and creativity Eagerness to learn Qualification : B.Tech in Automobile / Mechanical / Electronics / Mechatronics

Job Title: Senior Advanced Technical Services Engineer Location: Pune Experience: 5+ Years Company: TraceLink Department: Advanced Technical Services Company Overview: At TraceLink, we are transforming the global pharmaceutical supply chain to protect patients and ensure the availability of safe medicines worldwide. Our Opus Platform and innovative software solutions empower pharmaceutical companies to digitize operations, improve visibility, ensure compliance, and collaborate more effectively across complex global networks. Founded in 2009, TraceLink operates in 8 global offices, with 800+ employees, and serves 1,300+ customers across 60+ countries. Recognized by Gartner, IDC, and Comparably, we are proud to be a trusted industry leader and a great place to work. Position Overview: We are looking for an experienced and highly skilled Senior Advanced Technical Services Engineer to join our Pune-based team. As a senior member of the Advanced Technical Services team, you will lead technical issue resolution efforts, support internal tooling and data repair processes, and act as a technical mentor to the broader Technical Support organization. This role combines strong technical proficiency, problem-solving ability, and excellent interpersonal communication, playing a key role in enhancing customer satisfaction and internal team capabilities. Key Responsibilities: Resolve complex technical issues by working directly with TraceLink products and collaborating with internal teams to create custom solutions or internal tools Serve as a technical mentor and advisor to Technical Support Engineers Lead the triage, prioritization, and execution of customer data repair requests Create, maintain, and support scripts and tooling to enhance team productivity Act as a recognized Subject Matter Expert (SME) for 3 4 core TraceLink applications Document technical processes and deliver training to internal support teams Advocate for customer needs by collaborating with Product, Engineering, and other cross-functional teams to drive product improvements Analyze and troubleshoot application logs, errors, and complex integrations Skills and Competencies: Proficient in XML, JSON, CSV reading, parsing, and manipulation Working knowledge of scripting languages such as Perl, Python, Shell scripting Strong debugging and log analysis skills Ability to propose and evaluate multiple solutions to technical problems Understanding of B2B integration technologies such as AS2, SFTP, Web Services Extensive experience with tools including Microsoft Office, Google Workspace, Salesforce, Slack, and collaboration platforms Excellent verbal and written communication skills; strong documentation practices Highly self-motivated, with proven time management and project coordination skills Experience in mentoring, coaching, and cross-functional collaboration Proven ability to lead team efforts and resolve high-impact customer issues Strategic thinker who contributes to the continuous improvement of support processes Essential Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (or equivalent experience) Minimum 5+ years of experience in a technical customer-facing role, preferably within SaaS or enterprise software companies Strong understanding of UNIX/Linux environments and Java-based applications Working knowledge of ERP systems Fluent in written and spoken English (additional languages a plus depending on region) What You'll Gain: Opportunity to work on mission-critical systems that impact global patient safety Collaborate with a global team in a dynamic, high-growth company Mentorship opportunities and career development in advanced technical roles Work in an environment that values innovation, ownership, and teamwork If you're passionate about solving complex technical challenges, mentoring others, and making a meaningful impact in the life sciences sector, we invite you to join us at TraceLink. Qualification : Bachelors degree in Computer Science, Information Technology, or related field (or equivalent experience)

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Job Title: Software Engineer AI/ML Location: Pune Qualification: B.E./B.Tech/M.E./M.Tech Experience: 2 4 Years Reporting To: Lead Software Engineer / Project Manager Role Overview: We are seeking a passionate and skilled AI/ML Software Engineer to join our growing team. The ideal candidate will be responsible for designing and developing intelligent systems using cutting-edge Machine Learning and Artificial Intelligence techniques. You will play a key role in building data-driven solutions that automate decision-making and improve business outcomes. Key Responsibilities: Study, analyze, and transform data science prototypes into functional ML solutions. Design and build AI and Machine Learning systems to automate predictive models. Research, implement, and optimize ML algorithms and tools based on project needs. Select appropriate datasets and design suitable data representation techniques. Develop, test, and fine-tune ML models through rigorous experimentation and statistical analysis. Train, retrain, and update ML systems as required. Extend or customize existing ML libraries and frameworks. Stay updated with the latest trends and advancements in AI/ML technologies. Required Skills & Abilities: 2 4 years of hands-on experience in AI/ML development. Solid understanding of Data Structures, Algorithms, and strong mathematical aptitude. Strong programming skills in Python, with working knowledge of scikit-learn, pandas, and other core ML libraries. In-depth knowledge of AI/ML algorithms, model evaluation techniques, and performance metrics. Experience with Deep Learning frameworks like TensorFlow, Keras, or PyTorch is a plus. Exposure to MLOps tools for model deployment and monitoring is preferable. Good communication skills and ability to manage interactions with clients and cross-functional teams. Strong problem-solving attitude and a willingness to learn continuously. Qualification : B.E./B.Tech/M.E./M.Tech/MCA

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Manager Market Research Location: Pune, Maharashtra Function: Marketing Experience: 7 8 Years Education: MBA (preferred with Engineering background) or Degree in Economics / Statistics Job Summary: We are seeking a strategic and data-driven Manager Market Research to lead research initiatives that inform BiofuelCircle s growth in the bioenergy sector. This role will focus on identifying new geographic and product opportunities, assessing industrial demand and rural supply, and generating actionable insights to support decision-making across functions. Key Purpose of the Role: To build and lead a market research function that supports geographic expansion, product diversification, and strategic decision-making through in-depth data analysis, customer insight, and competitor benchmarking. Key Responsibilities: Market Research Industrial Demand & Rural Supply Conduct primary (qualitative) and secondary (quantitative) research on biomass availability and biofuel demand Maintain district- and taluka-level datasets across Indian states for all operational and target regions Research crop production, harvesting practices, residue availability, and alternate applications Analyze industrial clusters using biomass/coal and identify platform adoption enablers and barriers Market Intelligence & Analysis Identify new demand and supply markets or clusters Perform gap analyses against existing operations Conduct on-ground validations based on crop seasons and geographies Customer Insights & New Product Development Run exploratory studies to support new product development and product-market fit assessments Design and implement surveys, dipsticks, and focus groups to gather customer insights Competitor & Market Landscape Analysis Monitor competitors offerings and go-to-market strategies Track emerging trends across the bioenergy and cleantech sectors External Agency Management Draft research briefs in coordination with product and business teams Select appropriate methodologies and manage external research vendors Ensure research deliverables are on-time, cost-efficient, and actionable Team Building & Leadership Build and lead an in-house research team Drive research process governance and ensure alignment with strategic business needs Policy Framework & Strategic Support Contribute to state-wise policy analysis for new products and geography expansion Support business planning for growth and diversification initiatives Ideal Candidate Profile: Industry Background: Experience in Energy, Cleantech, E-Commerce, or B2B Industrial sectors is preferred Deep understanding of the Indian market landscape Technical Competencies: Strong analytical and conceptual thinking Skilled in transforming complex data into strategic insights Capable of connecting insights across cross-functional teams Project governance and stakeholder alignment skills Communication & Interpersonal Skills: Excellent verbal and written communication Able to engage with a broad spectrum of stakeholders from rural micro-businesses to multinational corporations Soft Skills: Confident, assertive, and proactive Analytical mindset with the ability to lead and mentor a team Opportunity: Join a pioneering company in the bio-energy sector, driving sustainable transformation across India. This role offers a unique opportunity to work on high-impact projects while collaborating with a mission-driven and innovative team. Supervision & Collaboration: Reports to: Head of Marketing Works closely with: Product, Operations, Sales, Policy, and Strategic Planning teams Qualification : MBA (preferred with Engineering background) or Degree in Economics / Statistics

Position: Customer Quality Engineer Location: Pune, Maharashtra, India Employment Type: Full-Time Company: RENATA Precision Components Pvt. Ltd. Experience Required: 3 5 years Industry: Plastic Injection Moulding Automotive & Allied Sectors Company Overview RENATA Precision Components Pvt. Ltd. is a leading manufacturer of high-quality plastic injection moulded components, catering to the automotive and other engineering industries. We're committed to delivering precision, quality, and customer satisfaction through continuous improvement and adherence to global standards. Position Overview We're looking for a skilled and proactive Customer Quality Engineer to manage customer complaints and ensure compliance with quality standards in line with automotive industry requirements. This role demands a hands-on approach to quality systems, documentation, and effective problem-solving. Key Responsibilities Act as the primary point of contact for handling and resolving customer complaints. Prepare and maintain PPAP (Production Part Approval Process) documentation as per customer and IATF requirements. Utilize problem-solving tools (e.g., 8D, 5 Why, Fishbone) to analyze and address quality issues. Ensure adherence to IATF 16949:2015 quality management system standards. Coordinate with internal departments to implement corrective and preventive actions. Maintain clear and professional communication with customers regarding quality concerns. Support audits and quality system improvements based on customer feedback and internal reviews. Qualifications & Experience B.E. in Mechanical or Production Engineering. 3 to 5 years of experience in a customer quality role within the automotive manufacturing industry. Skills & Competencies In-depth understanding of automotive quality standards and processes. Strong knowledge of PPAP, APQP, FMEA, SPC, MSA. Proficient in using quality tools and methodologies for root cause analysis. Effective communication and interpersonal skills for customer engagement. Proficient in MS Office (Word, Excel, PowerPoint, Outlook). Detail-oriented, resourceful, and able to manage multiple tasks effectively. Be part of a dynamic quality team at RENATA and contribute to delivering world-class components to global automotive clients. We offer a collaborative work environment, opportunities for professional development, and a strong focus on continuous improvement and customer satisfaction.

Quality Control Manager | Pune Job Description We are looking for an experienced Quality Control Manager who will coordinate inspection services across projects, monitor quality performance, and generate detailed reports based on key performance indicators. You will lead the quality assurance efforts to exceed client expectations and maintain high-quality standards throughout the organization. Key Responsibilities Promote a culture of quality achievement and continuous performance improvement across all departments. Develop, implement, and maintain a comprehensive product quality assurance strategy covering all stages of product development. Set and monitor quality assurance (QA) compliance objectives, ensuring targets are consistently met. Integrate environmental, health, and safety standards into quality procedures. Establish clear quality standards and methods for staff to follow. Collaborate with operations teams to define and enforce quality control procedures. Oversee and support a distributed team to maintain consistent quality performance. Prepare and present quality performance reports to management and stakeholders. Qualifications & Requirements Minimum 3 years of quality control experience in a managerial role. Proven ability to manage and coordinate distributed or remote teams effectively. Strong communication skills with the ability to interact at all organizational levels. In-depth knowledge of quality management systems, environmental standards, and health and safety regulations. Analytical mindset with excellent report-writing skills. Lead quality assurance initiatives in a growing and dynamic company. Work with cross-functional teams to drive operational excellence. Competitive salary and opportunities for professional development. Supportive work culture focused on innovation and quality. Location: Pune Job Type: Full-time Experience: 3+ years Industry: Quality Control / Manufacturing / Operations

Job Title: Senior Engineer Quality Location: Pune Department: Quality Assurance / Quality Control Experience Level: Minimum 7 Years Relevant Experience Business Unit: North America Business About Zetwerk Zetwerk is the world s largest global manufacturing network for custom manufacturing, transforming digital designs into physical products. Our manufacturing solutions span simple items like steel pipes to complex aerospace components, serving industries such as Oil & Gas, Energy, Infrastructure, Aerospace, Renewables, Electric Vehicles, Consumer Electronics, and Space. With thousands of manufacturing partners, Zetwerk offers expertise in metal fabrication, CNC machining, plastic injection molding, 3D printing, aluminum die casting, and more. Our technology-driven platform delivers faster, cost-effective manufacturing with world-class quality and complete transparency through our proprietary Manufacturing Operating System, ZISO. Zetwerk is revolutionizing manufacturing by connecting and empowering stakeholders across the supply chain. We provide a collaborative and innovative work environment that supports career growth, ambition, and an inclusive culture. Join us to be a part of a company where your impact truly matters. Role Overview As a Senior Engineer Quality, you will play a critical role in implementing and managing quality assurance and control processes for heavy fabricated components and assemblies. You will lead quality inspections, ensure compliance with standards, and drive continuous improvements to enhance product quality and reliability. Key Responsibilities Develop and execute QA/QC procedures and inspection protocols across all fabrication and assembly stages. Prepare, review, and approve Inspection Test Plans (ITPs), Work Instructions, and Quality Plans. Conduct in-process and final inspections for heavy fabricated components and structures. Evaluate welding procedures and supervise weld inspections ensuring compliance with standards. Interpret and supervise Non-Destructive Testing (NDT) reports. Inspect machined components, verifying dimensional tolerances with precision instruments. Review and approve surface treatment and painting processes per standards (e.g., SA 2.5, DFT measurement). Support root cause analysis (RCA), corrective and preventive action (CAPA) initiatives. Review supplier quality documentation and incoming material inspections for castings, forgings, and fabricated items. Drive continuous improvement projects to reduce defects, rework, and rejection rates. Qualifications & Experience Bachelor s degree in Mechanical Engineering or related field. Minimum 7 years of relevant experience in QA/QC for heavy fabrication, preferably within industrial or capital equipment manufacturing. Strong expertise in fabrication, welding, and machining inspection. Proficient in Core Quality Tools: FMEA, MSA, SPC, PPAP, Control Plans. Knowledge of quality standards including ISO 9001, IATF 16949, ASME, and AWS. Hands-on experience with precision inspection instruments and interpretation of engineering drawings and GD&T. Willingness to travel to supplier locations across Pune and other parts of India. Join Zetwerk and contribute to a transformative manufacturing ecosystem delivering quality and innovation at scale. Qualification : Bachelors degree in Mechanical Engineering or related field.

Job Title: Machine Learning Engineer Location: Pune Employment Type: Full-Time About the Role: We are seeking a Machine Learning Engineer with 1-3 years of hands-on experience to join our team. The ideal candidate will have proficiency in Python programming and a solid understanding of machine learning frameworks. You will work on building and deploying cutting-edge machine learning models and solutions, with a particular focus on computer vision and ML-Ops. Key Responsibilities: Develop Machine Learning Models: Build, train, and deploy machine learning models for various business applications. Computer Vision Solutions: Focus on building and deploying computer vision solutions at scale, leveraging frameworks like TensorFlow and OpenCV. Collaborate with Teams: Work with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into products. Code Quality & Documentation: Write clean, maintainable, and readable code. Document your code and solutions for ease of understanding and future reference. Work with Data Pipelines: Understand and implement data pipelines for training machine learning models, ensuring data is pre-processed and transformed correctly. Version Control & Best Practices: Use Git and follow version control best practices to ensure collaboration and code integrity across the team. Machine Learning Frameworks: Implement machine learning algorithms using frameworks like TensorFlow, Keras, OpenCV, and other relevant libraries. ML-Ops: Familiarity with deploying machine learning models into production environments and managing their lifecycle. Minimum Qualifications: Experience: 1-3 years of experience as a Machine Learning Engineer or Data Scientist. Agile Development: Familiarity with the Agile development lifecycle and collaborative software development practices. Code Readability & Documentation: Ability to write clean, readable code and document your work thoroughly for future use and team collaboration. Third-Party Libraries & APIs: Experience in consuming third-party libraries and APIs to extend the functionality of your machine learning solutions. Version Control: Experience with Git and version control best practices. Data Pipelines: Understanding of data pipelines and how to handle data preprocessing, cleaning, and transformation for machine learning purposes. Core Python: Proficiency in Python programming and popular data science libraries (e.g., NumPy, Pandas, etc.). Machine Learning Frameworks: Knowledge of machine learning frameworks like TensorFlow and OpenCV. Preferred Qualifications: ETL Tools: Experience working with ETL (Extract, Transform, Load) tools and libraries to manage and preprocess data for machine learning. Computer Vision: Hands-on experience with computer vision tasks, especially with MaskRCNN for object detection and segmentation. ML-Ops: Knowledge of ML-Ops practices for deploying, monitoring, and maintaining machine learning models in production environments. Work on cutting-edge machine learning and computer vision projects. Collaborate with a talented, cross-functional team to solve real-world problems. Opportunity to grow your career in a dynamic and innovation-driven environment. Competitive compensation and benefits package. If you're passionate about machine learning, computer vision, and deploying scalable solutions, we'd love to have you on our team!

About Talentica Software: Talentica Software is a specialized software development firm founded by seasoned industry experts and alumni of IIT Bombay. We partner with startups to create innovative products, using cutting-edge technologies to address real-world challenges. With over 21 years of experience, we have collaborated with more than 180 startups, primarily in the U.S., contributing to many successful exits. In 2022, Talentica Software was honored as one of India s Great Mid-Size Workplaces by Great Place to Work. What We re Looking For: We are seeking a motivated Data Analyst to join our growing team. If you're passionate about working with SQL, BigQuery, Tableau, and MongoDB, and enjoy optimizing data ecosystems, we d love to hear from you! In this role, you will play a key part in managing and enhancing our data infrastructure, working across SQL (Oracle), BigQuery, Tableau, and NoSQL databases like MongoDB. You'll also help build our Lakehouse architecture and ensure data accuracy while supporting the scalability of our platform. Your Responsibilities: Develop, optimize, and maintain SQL queries to support efficient data delivery for Tableau reports. Write and refine complex queries for Oracle and BigQuery databases to meet business reporting needs. Utilize MongoDB to query semi-structured data for analytics and reporting. Collaborate with BI developers and analysts to streamline data workflows and enhance report accuracy. Design and manage ETL/ELT pipelines for smooth data ingestion and transformation. Work with cross-functional teams to identify and implement improvements in data workflows. Troubleshoot and resolve data issues as they arise. Contribute to the early-stage development of our Lakehouse architecture. Prepare existing data workflows for seamless integration with modern cloud platforms. Stay current with emerging data technologies and contribute to ongoing modernization efforts. Perform data validation and reconciliation to ensure consistency across multiple data sources. Collaborate with data analysts and business stakeholders to resolve data discrepancies. Support data quality assurance initiatives and establish best practices for data reliability. What You ll Need to Succeed: Qualifications: A BE/BTech in Computer Science, Data Engineering, or a related field from a prestigious institution (IIT, NIT, BITS, etc.). Experience: At least 5 years of experience in SQL development and managing data pipelines. Technical Skills: Advanced SQL skills, including performance tuning and query optimization. Strong understanding of ETL/ELT processes and experience with data transformation. Hands-on experience with relational databases (Oracle, BigQuery) and NoSQL (MongoDB). Proficiency in Python or other scripting languages for automation. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Experience with BI tools like Tableau is highly desirable. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to manage multiple tasks independently in a fast-paced environment. What We Offer: Innovative Culture: We focus on cutting-edge development, not routine maintenance work. Our team thrives on staying ahead with the latest technologies. Continuous Learning: At Talentica, you ll find abundant opportunities to grow and keep up-to-date with the latest trends in technology. Brilliant Peers: Work alongside talented professionals from top engineering colleges (IITs, NITs, and more). Work-Life Balance: Enjoy flexibility with remote work options and adaptable schedules. Supportive Environment: 82% of our employees recommend Talentica to their peers (according to Glassdoor), thanks to our positive, collaborative work culture. Recognition & Rewards: Your hard work will be celebrated, with a culture that recognizes and appreciates your contributions. If you re excited about the prospect of working with a team of bright professionals and advancing your career, we d love to hear from you. Ready to make an impact? Apply today, and let s connect! Qualification : BE/BTech in Computer Science, Data Engineering, or a related field from a top-tier institution (IIT, NIT, BITS, etc.).

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

Position Summary This role will be responsible for developing commercial forecasts for pipeline and launching products as well as completing opportunity assessments for life cycle management. This role brings specific therapeutic area in-depth expertise, analytical instinct, strategic thinking, and project management skills to communicate the value assessment of new assets and flag appropriate risks and opportunities. Job Responsibilities The delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats. Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support the brand strategy. Prepare robust forecast assumptions leveraging expertise and analogs from the in-line Forecasting team and research from the Insights and Analytics team. Ensure objectivity of brand/therapeutic area forecasts by establishing objectives aligned around forecast accuracy. Developing brand volume forecasts, both short-term and long-term, to feed into strategic and operational planning processes. Support launch preparations and guide the teams to set up clear post-launch performance tracking by creating and monitoring the short-term revenue forecasts, comparable to actuals in the future, and recommending adjustments when applicable. Consistent delivery of analytics that drive informed decision-making, including the definition and development of models to be used in answering business and operational questions. Adopting and executing new and innovative analytics offerings for untapped opportunities; Enabling automation of routine measurements. Supports client strategy to ensure business and compliance needs are met. Coordinate and manage subordinates, facilitate interdepartmental communication, and allocate tasks and resources as needed. Guide and advise the modeling and capabilities team as a Subject Matter Expertise on various technologies, solutions, and capabilities to help set up industry-leading practice. Education BE/B.Tech Work Experience 7-12 years of experience in Experience working with Life Sciences companies in pharmaceutical forecasting (in branded business)/ data analytics; experience supporting both pipeline and marketed product(s) preferred; experience in Specialty or Rare Disease, preferred. Expertise with a variety of modeling techniques including statistical, patient-flow, simulations, agent-based and other systems dynamics-based techniques. Manage & develop patient/epidemiology-based forecasting models for pharma clients. Project Manager who can lead enablement of global life sciences companies to manage forecasting and/or data & analytics function through Axtria solutions and innovative methodologies. EPI based Forecasting for Inline, Pipeline, and BD&L Products/ Brands. Trend-Based Forecasting Experience. Experience supporting multiple markets globally, Region, and countries. A deeper understanding of disease and Therapy Areas and their application to forecast. Expertise in handling datasets - IQVIA, Evaluate, IPD, Kantar, DRG etc. Proven experience working with pharmaceutical datasets (Rx, APLD, etc). Effective forecast storyboarding, capturing key insights backed by relevant data and Quantitative Analytics, Business Analysis and Analog Analysis. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed Qualification : BE/B.Tech

Position Summary We are seeking a seasoned thought leader to lead our Decision Science and Commercial Analytics team. This role will be responsible for developing commercial forecasts for pipelines and launching products, as well as completing opportunity assessments for lifecycle management. You will leverage deep therapeutic area expertise, analytical instincts, strategic thinking, and project management skills to communicate the value assessment of new assets while identifying risks and opportunities. Job Responsibilities Client & Stakeholder Management: Manage client and onshore stakeholder relationships to ensure successful business delivery, aligning with business needs. Collaboration with Project Managers: Work closely with project managers to define the algorithm, break down the problem into actionable steps, and execute the analysis. Project Scoping & Solution Design: Lead project scoping, solution design, and execution, ensuring effective communication of analysis in client-ready formats. Demand Forecasting: Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support brand strategy. Forecast Assumptions: Prepare robust forecast assumptions by leveraging expertise and analogs from the Forecasting team and insights from the Insights and Analytics team. Forecast Accuracy: Establish objectives to ensure objectivity in brand and therapeutic area forecasts, focusing on forecast accuracy. Brand Volume Forecasting: Develop both short-term and long-term brand volume forecasts to support strategic and operational planning processes. Launch Support & Post-Launch Tracking: Support launch preparations and guide teams in setting up post-launch performance tracking. Create and monitor short-term revenue forecasts, adjust when necessary, and compare against actuals. Data-Driven Decision-Making: Deliver consistent analytics that drive informed decision-making. Define and develop models to answer critical business and operational questions. Education Bachelor's Degree (BE/B.Tech) Master of Business Administration (MBA) Work Experience 15+ years of experience working with Life Sciences companies in pharmaceutical forecasting and data analytics. Experience supporting both pipeline and marketed products is preferred; Specialty or Rare Disease experience is a plus. Expertise in various modeling techniques such as statistical modeling, patient-flow models, simulations, agent-based modeling, and systems dynamics. Proven experience in patient/epidemiology-based forecasting models for pharmaceutical clients. Strong project management skills, with the ability to lead the enablement of global life sciences companies in forecasting and analytics functions through innovative solutions. Extensive experience in EPI-based forecasting for inline, pipeline, and BD&L products/brands. Expertise with pharmaceutical datasets (e.g., IQVIA, Evaluate, IPD, Kantar, DRG, Rx, APLD, etc.). Experience working across multiple markets globally with a deep understanding of disease and therapy areas and their application to forecasting. Technical Competencies Life Sciences Knowledge Project Management Pharmaceutical Forecasting Expertise Attention to P&L Impact Business Development Capability Building & Thought Leadership Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership & Accountability Cultural Fit Talent Management Additional Information: This position requires a dynamic individual with a deep understanding of pharmaceutical forecasting, analytics, and project management. You will play a key role in supporting product and brand strategies with insightful, data-driven forecasting models and contribute to the growth and success of global life sciences clients. Qualification : Bachelor's Degree (BE/B.Tech)

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients. Job Responsibilities Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis and reporting. Strong in logical reasoning, structuring of analysis, asking the right questions and logical approach to analyse data, problems, and situations. Proficient in Microsoft Office suite. Teamwork and collaboration and can mentor junior associates. Articulate in communication written or verbal and able to convey ideas and information clearly to client or client facing teams. Willingness to learn and innovate. Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation. Effectively communicate with onshore/ client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc using various data sources. Strong communication, project management, and storyboarding skills. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Campaign Performance Analysis: Analyze the effectiveness of media campaigns across digital, social, programmatic, and traditional media platforms. Track key performance indicators (KPIs) such as impressions, click-through rates (CTR), cost-per-click (CPC), cost-per-acquisition (CPA), and return on ad spend (ROAS). Perform in-depth analysis of media data to identify trends, opportunities, and areas for improvement. Reporting & Insights: Prepare detailed reports and dashboards to communicate media performance to client stakeholders. Provide recommendations on how to optimize campaigns based on data insights, A/B testing results, and market trends. Collaborate with the media buying and planning teams to provide insights that influence media strategy. Budget & Spend Analysis: Monitor media spend across campaigns and ensure alignment with allocated budgets. Identify opportunities for cost efficiencies and performance improvements. Assist in forecasting media spend based on historical data and future trends. Cross-Channel Attribution: Utilize multi-touch attribution models to evaluate the contribution of various media channels (search, display, social, etc.) to overall campaign performance. Help improve the media attribution process to ensure proper credit is given to each channel. Media Research & Competitor Analysis: Stay up to date with industry trends, new tools, and best practices in media analytics. Conduct competitor media analysis to understand market positioning and media strategies of competitors. Identify emerging platforms and channels for potential investment based on research. Collaboration & Stakeholder Management: Work closely with media planners, buyers, and digital marketing teams to ensure alignment of media strategy with business objectives. Provide clear and concise data-driven recommendations to both technical and non-technical stakeholders. Essential Skills & Experience Experience: 2-4 years of experience in media analysis, digital marketing analytics, or a related field. Technical Proficiency: Strong knowledge of digital marketing platforms such as Google Ads, Facebook Ads, and programmatic buying platforms. Proficiency in using analytics tools like Google Analytics, Adobe Analytics, or similar platforms. Experience with data visualization tools (e.g., Tableau, Power BI, or similar) to present insights effectively. Familiarity with Excel and SQL for data manipulation and analysis. Analytical Skills: Strong ability to analyze complex data sets, derive actionable insights, and communicate findings effectively. Detail-Oriented: Ability to handle multiple data points with precision, ensuring the accuracy and integrity of reports. Communication: Excellent written and verbal communication skills, with the ability to explain data insights to non-technical stakeholders. Desirable Skills & Experience Experience with advanced analytics techniques such as predictive modeling or marketing mix modeling (MMM). Understanding of media buying processes and digital advertising ecosystems. Certification in Google Analytics, Facebook Blueprint, or other relevant platforms.