Platform - Google Cloud Platform Cloud Storage Bucket DataProc Dataflow Big Query Cloud Run IAM Composer (Airflow) Big Data Technologies Spark, Hive Python, Scala SQL CI/CD Jenkins/GitHub/Nexus Outcomes/Success Criteria Drive the implementation of the defined innovation strategy through the design and architecture for analytics platform components/services utilizing Google Cloud Platform infrastructure and provide technical expertise to deliver advanced analytics Design, build & operate a secure, highly-scalable, reliable platform to consume, integrate and analyze complex data using a variety of best-in-class platforms and tools Collaborate with various global IT teams to develop Big Data reference architecture patterns for data ingestion, data processing, analytics and data science solutions Drive innovation through developing proof-of-concept s and prototypes to help illustrate approaches to technology and business problems Provide strong technical skills with ability to design, architect, and get into low-level implementation details Be a hands-on developer and build scalable, real time, Big Data systems whilst providing a deep business understanding of CPG functions & processes Proven experience in working with globally distributing agile teams Develop and maintain modern development & data management methodology Qualifications & Experience (List NO MORE than 5 minimum requirements candidates must meet in order to be considered and NO MORE than 5 desired qualifications that you would ideally like to see in candidates.) A bachelors degree in computer science, math, physics, engineering or a related field 3+ years of progressive experience in data and analytics, with at least 6 months experience in Google cloud platform Overall, 3+ years of progressive experience working in software engineering teams Experience with Google Cloud Platform technology stack for Data Analytics and Big data technologies (Big Query - DWH concepts, ANSI SQL, Big Table - HBase, DataProc - Spark/Hadoop, Dataflow - Apache Beam/Scala/Python) is required Experience in developing the data pipeline, ETL processes, data platform, data modelling, and data governance processes in delivering end-to-end solutions Solid foundation in design, data structures and algorithms, and strong analytical and debugging skills with customer-facing products experience Good understanding of private and public cloud design considerations and limitations in the areas of virtualization, global infrastructure, distributed systems, load balancing, networking, massive data storage, Hadoop, MapReduce, and security. Strong programming experience in Python and Scala Experience of using development tools like Eclipse and IntelliJ Experience of using Jenkins, GitHub flow and artifact repo. Experience developing real time data streaming pipelines Drive innovation by assessing, piloting, building DevOps/Cloud tooling and services to improve overall developer experience and productivity Expertise & experience in building large scale, cloud based and open source projects. Hands-on solution driven attitude, with ability to turn around quick insights along with delivering strategic capabilities Multi-tasking ability to participate in multiple complex programs at the same time in an agile environment Strong organization and prioritization skills along with outstanding written and verbal communication skills Knowledge of agile software development methodology

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Role Brief: 3-7 years of Supply Chain Analytics & Modeling using Python/R, SQL and Machine Learning. Brief about the Team & Fractal: Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling. Technical and domain expertise- Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc Key competencies: Understand and translate statistics to address client business problems Interface with client to understand their problems and work with the delivery team on solutions that address the client needs Develop & conceptualize sophisticated & innovative analytical solution and actionable insights with high client and business understanding The open position is with Supply Chain domain. The incumbent will manage and engage client teams to understand, define and develop data-driven solutions to meet the needs of clients. Job Responsibilities: Provide high-end consulting to clients to help them sharpen their business strategy by implementing analytical models that support the realization of business objectives Provide support for Supply chain team for compiling, consolidating, and analysing data for various Supply Chain initiatives, such as demand forecasting, inventory analysis, Manufacturing insights, Logistics and RFI preparation. Coordinate with Supply chain teams across functions Lead big rock SC initiatives and drive them to closure Be the thought leader in the focus area, go to person for internal teams, Generate knowledge sharing trends in the team, participate in developing white papers & share new trends in analytics with colleagues, evolve one s own opinion on the concepts Experience: 3+ years relevant experience in Supply chain analytics Worked on Demand Planning, Forecasting, Inventory optimization, Network Optimization Expertise in Python/R plus SQL & Machine learning & Statistics Techniques such as general linear model, linear regression, Hands-on supply chain analytics experience mandatory Good logical thinking and problem-solving skills Experience in predictive modelling Excellent written and verbal communication Demonstrated ability to handle multiple types of data Awareness of SAP data sets - syndicated sources, any custom research studies, etc would be a plus Technical mastery in tools such as R / Tableau /QlikView / Python or other visualization / Analytics Tools Ability to mentor and lead teams Education: BE/ B.Tech (any discipline) or MS in Statistics/Economics or MBA in a quantitative discipline is required If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. JOB DESCRIPTION: If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Data Engineer -Azure, you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services. RESPONSIBILITIES: Be an integral part of large scale client business development and delivery engagements Develop the software and systems needed for end-to-end execution on large projects Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions Build the knowledge base required to deliver increasingly complex technology projects Team handling, problem solving, project management and communication skills & creative thinking QUALIFICATIONS: Related field with 8 - 12 years of technology experience. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc. Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space Software development experience using: Object-oriented languages (e.g. Python, PySpark, Scala) and frameworks Database programming using any flavors of SQL Expertise in relational and dimensional modelling, including big data technologies like Hadoop, Spark, etc Exposure across all the SDLC process, including testing and deployment Good understanding of how to enable analytics using cloud technology and ML Ops Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure) Characteristics of a forward thinker and self-starter Ability to work with a global team of consulting professionals across multiple projects across domains Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Company Overview Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a Cool Vendor and a Vendor to Watch by Gartner. We are looking for a Senior Consultant (G6) to join our Digital Analytics Solutions team. In this role, you will develop our digital analytics solutions and lead their deployment to help our clients enhance their digital presence by identifying points of friction in digital journeys and extracting insights from customer conversations Responsibilities Understand each client s specific needs and identify how our digital analytics solutions can be best leveraged to address those needs Develop delivery roadmap by understanding diverse client needs and desired timelines combined with assessing risks related to people, technology and process roadblocks Using a combination of market research and known client needs, develop a feature roadmap to progressively enhance our solutions Review interim outputs for quality and coach team to deliver excellent final outcomes Communicate insights and recommendations to senior executives using effective storytelling techniques Proactively uncover opportunities to solve client s problems by leveraging automation, superior algorithms or process improvements Requirements Minimum 8 years of professional experience in digital analytics domain Minimum 2 years of experience leading analytics engagements (Preferred 4 years) Experience with one or more of data visualization tools such as Tableau (must), Data Studio, Power BI Experience with one or more clickstream data sources such as Google Analytics, Adobe Analytics, Tealium, Celebrus Hands in experience with Amplitude and Mixpanel is a must (configuration, implementation and reporting through them) Understanding of basic database and data representation concepts Exposure to building or guiding engineering team to build ETL pipeline Proficiency with MS suite, especially Excel pivots & Power point Passion for data driven decision making and intellectual curiosity Excellent written and verbal communication skills Ability to drive client discussions at Director and VP levels during discovery discussions and to deliver insights and recommendations (Preferred) Experience with project management (Tools such as JIRA or Trello, Approaches - Waterfall, Scrum, Kanban) If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Job Title: Senior Data Scientist - Agentic AI Platforms & Applications Job Description: We are looking for a Senior Data Scientist to lead the design and development of agentic AI platforms and intelligent applications. This role focuses on leveraging large language models (LLMs), orchestration frameworks, and Python-based development to build autonomous agents that can reason, interact with tools, and perform complex tasks. You will play a hands-on role in shaping the system architecture and implementing key components that power agent behavior. Key Responsibilities: Design and prototype AI agents using LangChain or similar frameworks. Apply LLMs to real-world tasks through prompt engineering, chaining, and tool integration. Develop Python-based pipelines and backend services to support agentic logic and orchestration. Integrate external APIs and SDKs to extend agent capabilities and data access. Collaborate on the development of planning, memory, and decision-making components within agents. Support experimental design, model evaluation, and iterative tuning of LLM-based workflows. Contribute to basic CI/CD workflows to ensure reliable model deployment and testing. Partner with engineering and product teams to translate business problems into scalable AI solutions. Required Qualifications: 5+ years of experience in data science or applied machine learning, with a focus on NLP or AI applications. Hands-on experience with LLMs and orchestration tools such as LangChain, Haystack, or similar. Strong Python programming skills and familiarity with building modular, production-ready code. Experience working with LLM APIs (OpenAI, Anthropic, etc.) and retrieval-augmented generation workflows. Proven track record of designing and integrating APIs and third-party SDKs. Familiarity with agent-based systems and autonomous workflows. Working knowledge of CI/CD pipelines and MLOps fundamentals. Preferred Qualifications: Experience with vector databases, tool use in agents, or multi-agent systems. Background in developing AI solutions in enterprise or research environments. Strong analytical thinking and ability to translate abstract problems into data-driven agentic solutions. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Job Description: The Principal Consultant plays a vital role in providing best in class technical expertise for marketing measurement solutions. The individual will work as a Subject Matter Expert on Marketing measurement programs with a clear responsibility of bringing technical expertise in AI and engineering in the solution areas. S/he will work with data scientists and engineers to build solution prototypes, collaborate with client teams to brainstorm new AI lead solutions in measurement, become trusted advisors for key clients by bringing thought leadership and groom a set of exceptional consultants to deliver with excellence. S/he should have a client service orientation with the ability to influence the clients decision-making process, improving the overall client engagement. (Roles and Responsibilities) As a capability lead, generate client value by developing innovative solutions that solve client problems efficiently and effectively Identify opportunities to scale existing projects by bringing tools and best practices for expansion of current scope and drive productivity improvements and efficiency to enhance gross margins. Lead a team of highly motivated individuals and encourage to develop new capabilities through learning and development and knowledge sharing initiatives Lead by example in analytics delivery and guide the team in data synthesis, modeling techniques and culling out actionable insights, implications, and recommendations to address clients business KPIs and /or identify opportunities Ability to attract and retain high calibre talent for the organization and clearly communicate the vision, goals, and objectives of the organization and guide others in linking their activities to the success of the organization. Work effectively with peer groups in sales & marketing, practice teams and enabling functions to drive higher value to add to clients. Participate in the sales process to scope client needs and consult the client to frame up solution and delivery approach. Contribute to the development of the capability through collateral demonstrating thought leadership and develop scalable solutions to address business problems across the industry Describe the role in detail without mentioning any technical tool/platform/programming language) Section 2 (Mandatory technical skills) 11+ years of experience in analytics delivery and business consulting with at least 5+ years of leadership experience along with 3+ years of experience in creating solutions for Marketing teams Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients. Knowledge of AI and machine learning techniques such as deep learning, neural networks, LLMs, Reasoning models to drive superior measurement techniques for the client. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, impact of govt policies on product, strategic revenue management, marketing effectiveness Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Good thought leadership & ability to structure & solve business problems, innovating, where required Outstanding presentation and communication skills (Oral and written) with the ability to inspire others to make informed decisions. Must have the ability to adapt to changing business priorities in a fast-paced business environment Post graduate degree in a quantitative discipline from a reputed institute If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Job Summary We are looking for a skilled Kafka Engineer with hands-on experience in Confluent Platform to design, build, and maintain high-performance, real-time data streaming pipelines. The ideal candidate will have expertise in Kafka ecosystem components and be well-versed in deploying and scaling Kafka clusters, both on-prem and in cloud environments. Key Responsibilities Design, build, and manage Kafka and Confluent infrastructure for high throughput streaming applications Implement Kafka Connect, Schema Registry, and KSQL (KSQLDB), FlinkSQL Ensure high availability, performance tuning, and monitoring of Kafka clusters Collaborate with data engineers and backend teams to integrate streaming pipelines with data lakes, warehouses. Set up and enforce Kafka security mechanisms (SASL, SSL, ACLs, RBAC) Create and manage CI/CD pipelines for Kafka components using tools like Git, Jenkins, etc. Monitor and troubleshoot issues using tools like Confluent Control Center, DataDog Required Skills Experience in Apache Kafka and Confluent Platform Experience with Kafka Connect, Kafka Streams, Schema Registry, KSQL, and FlinkSQL Strong background in Java or Python Good understanding of stream processing and event-driven architecture Hands-on experience with cloud platforms: AWS / Azure / GCP (esp. Confluent Cloud) Proficient in Kafka cluster deployment, tuning, and maintenance Familiarity with CI/CD, Git, Helm, and Kubernetes Nice to Have Knowledge of Terraform, Pulumi, or other Infra as Code tools Exposure to DataOps / Data Engineering ecosystems

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Senior Data Scientist - Generative AI Role Overview: We re looking for a passionate Senior Data Scientist - Generative AI who thrives at the intersection of AI research & real-world applications. This role is ideal for someone who s eager to build, experiment & scale LLM-powered solutions in enterprise environments. This role blends hands-on Problem solving, Research, Engineering & collaboration across multidisciplinary team driving innovation across industries/ domains . Job Description: Design and implement advanced GenAI solutions using LLMs, Transformers & Prompt engineering Own the full lifecycle: from problem scoping & model design to deployment & post-production optimization Build & maintain reusable frameworks, pipelines, & prompt libraries Participate in code reviews & contribute to maintaining high code quality standards Conduct research & experimentation to evaluate new techniques in GenAI & NLP space Present insights & recommendations to clients & internal stakeholders through compelling storytelling & visualizations Mentor junior team members & contribute to knowledge-sharing initiatives Must Have Skills: 5-10 years of experience in Data Science - NLP, with at least 2 years in GenAI/LLMs Proficiency in Python, SQL & ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Hands-on experience with GenAI tools like LangChain, LlamaIndex, RAG pipelines, Prompt Engineering & vector databases (e.g., FAISS, ChromaDB) Strong understanding of NLP techniques including embeddings, topic modeling, text classification, semantic search, summarization, Q&A, chatbots, etc Experience with cloud platforms (GCP, AWS, or Azure) and CI/CD pipelines Experience integrating LLMs via Azure OpenAI, Google Vertex AI or AWS Bedrock Ability to work independently & drive projects end-to-end from development to production Strong problem-solving, data storytelling & communication skills Preferred Skills: Experience in domains like BFSI, Retail, CPG, FMCG, Healthcare, etc Exposure to MLOps tools like MLflow, Kubeflow, or Vertex AI Publications or contributions to open-source GenAI projects Location : All Fractal Locations - Mumbai, Bengaluru, Gurugram, Pune, Noida, Chennai, Pune, Coimbatore, Hyderabad Ready to Build the Future of AI? If youre passionate about building generative AI solutions that scale, wed love to hear from you. Bring your innovation, drive, and curiosity to Fractal where AI meets real impact . If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a Cool Vendor and a Vendor to Watch by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Key Responsibilities: Lead the Consulting for CFO Analytics, including scope definition, data gathering and analysis, and presentation of findings to clients. Develop and implement advanced financial modeling and analysis techniques to solve complex business problems. Work closely with clients to grow and understand their business challenges and provide strategic guidance on how to improve their financial performance. Mentor and manage a team of consultants, providing guidance on project delivery, technical expertise, and professional development. Stay up to date with the latest trends and developments in Analytics and identify opportunities to integrate new techniques and technologies into our consulting services. Collaborate with other teams within the organization to develop and deliver integrated solutions that combine Finance Analytics with other disciplines (e.g. marketing, supply chain). Conduct assessments of clients current processes and technologies in the Finance department to identify opportunities for digital transformation. Develop strategies for implementing digital technologies in the Finance department, including identifying specific technologies and developing a roadmap for their implementation. Support clients through the implementation process, including providing guidance on project management and addressing any challenges or obstacles. Develop and maintain strong relationships with clients to ensure the success of the digital transformation project. Stay up to date on the latest developments and trends in digital technologies and their potential applications in finance. Requirements: Bachelors or Masters degree in a quantitative field such as finance, economics, mathematics, or engineering. 15+ years of experience in a Finance / CFO Analytics Consulting role, with a proven track record of delivering high-impact projects to clients and with a strong understanding of digital technologies and their potential applications in finance. Strong experience with advanced data analysis techniques (e.g. machine learning, Monte Carlo simulation). Experience consulting with clients on digital transformation projects. Excellent communication and interpersonal skills, with the ability to translate complex technical concepts into clear and actionable insights for clients. Leadership experience, with the ability to manage and motivate a team of consultants to deliver high-quality work. Knowledge of project management principles and techniques. Must be willing to travel more than 30%. Good to Have Skillsets (Any one of the below will work): Dashboarding experience (Any one PowerBI / Tableau / React / QlikView) Knowledge of ERP Systems (SAP / Oracle / Dynamic etc.) Automation Experience / OCR experience (UiPath / Blue prism etc.) Data Science (Modelling, ML, Statistical forecast etc.) If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Experience: 12 - 15 Years Location: India Industry: Retail Function: Merchandising Analytics Employment Type: Full-time About the Role We are seeking a seasoned Merchandising Analytics expert with a deep understanding of retail and merchandising, combined with strong pre-sales, consulting, and solutioning skills. This individual will play a key role in shaping client strategy and winning business through compelling analytics-led merchandising solutions. Key Responsibilities Categorized by Capability Area 1. Strategic Advisory Act as a trusted advisor to clients by translating merchandising and category challenges into data-driven strategies. Lead client discovery workshops, assess current-state analytics maturity, and develop transformation roadmaps. Advise retailers on AI/ML use cases for pricing, assortment, inventory, and promotion optimization. Share thought leadership via industry forums, whitepapers, and client presentations. 2. Business Development Support the sales team in qualifying leads, understanding client pain points, and positioning analytics solutions effectively. Own the solution design during RFP/RFI responses and client proposals. Build strong client relationships, influence buying decisions, and drive revenue growth in merchandising analytics offerings. Develop business cases and ROI models to help clients quantify the value of proposed solutions. 3. Product Management Liaise between clients and product teams to align product capabilities with market needs. Provide inputs into product roadmaps, based on emerging trends and customer feedback. Conceptualize new analytics modules (e.g., markdown simulator, OTB optimizer) tailored to merchandising use cases. Create user stories and functional requirements for enhancements and demo assets. 4. Solutioning Expertise Design end-to-end analytics solutions for merchandising use cases: assortment optimization, price elasticity, inventory planning, etc. Build and present proof-of-concepts, demos, and visualizations using tools like Power BI/Tableau. Collaborate with data science and engineering teams to validate feasibility and scalability of proposed solutions. Ensure seamless handover to delivery teams with clear documentation and expectations. Required Qualifications Experience: 10+ years in the retail domain, with at least 3-5 years focused on merchandising (buying, planning, category management, etc.). Strong domain expertise across retail KPIs, merchandising workflows, and the impact of analytics on product, price, promotion, and placement. Demonstrated success in a pre-sales, consulting, or solution architect role for retail clients. Proficient in storytelling and stakeholder engagement, with the ability to communicate complex analytics solutions to non-technical audiences. Experience working with global retailers or in an omnichannel retail environment is highly desirable.

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Job Title: Power BI Developer Location: Mumbai, Pune, Chennai, Bengaluru, Gurugram, Noida Experience: 4-7 Years Job Type: Fulltime/Hybrid Job Summary: We are looking for a skilled and detail-oriented Power BI Developer to join our analytics and data visualization team. The ideal candidate will have hands-on experience in designing and developing insightful, high-performance dashboards, reports, and KPIs using Microsoft Power BI and related BI tools. You will play a key role in transforming data into valuable business insights and delivering top-tier analytics solutions to stakeholders. Key Responsibilities: Design and develop interactive reports, dashboards, and KPI scorecards using Power BI Desktop . Build tabular and multidimensional models aligned with data warehouse standards. Develop Analysis Services (SSAS) reporting models. Connect to various data sources, import and transform data using Power Query/M , DAX , and Power BI tools. Implement row-level security and understand application security models within Power BI. Perform advanced DAX calculations for data manipulation and insight generation. Optimize Power BI performance and troubleshoot dashboard/report issues. Translate business needs into data-driven reports and visual storytelling . Ensure data governance, quality, and security best practices. Document design methodology, technical specifications, and project deliverables. Work collaboratively with UX/UI teams to design user-friendly dashboards. Engage with business stakeholders to gather requirements and deliver analytics solutions. Analyze large datasets and present actionable insights to client teams. Mandatory Skills & Experience: 4-7 years of experience in Power BI report development and BI roles. Strong knowledge of SQL , query performance tuning, and data modeling . Proven experience with Microsoft BI Stack - Power BI, SSAS, SSRS, SSIS. Experience with BI tools like Tableau and SAP BusinessObjects. Solid understanding of relational and multidimensional database design . Familiarity with the full Power BI ecosystem: Power BI Premium, Power BI Service, Power BI Server, Power Query , etc. Strong analytical thinking, problem-solving , and attention to detail. Excellent communication skills for stakeholder interaction and requirements gathering. Experience handling large datasets/data warehouses for analysis. Comfortable creating reports from wireframes and functional requirements . Strong business acumen and ability to derive insights that incite action. Nice to Have (Preferred): Experience working with Microsoft Azure , Synapse Analytics , and integration with Tableau. Understanding of ETL processes , data pipeline architecture , and data warehousing on Azure. Experience in distributed systems for data extraction, ingestion, and processing at scale. Knowledge of presentation tools and the ability to create executive-level presentations . Soft Skills: Resilient under pressure and deadlines. Proactive, self-driven attitude with strong ownership. Excellent team collaboration and communication. Client-focused mindset with a desire to grow in a dynamic environment. How to Apply: Please submit your resume, portfolio (if any), and a brief note on your relevant experience to https: / / fractal.wd1.myworkdayjobs.com / Careers / job / Bengaluru / Power-BI-Developer_SR-32723-1 If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

We are looking for a senior leader to drive and evolve our global pricing and commercial effectiveness function, with a specific focus on software product monetization, subscription pricing models, and license strategy. This strategic role sits at the intersection of product, sales, finance, and operations owning the design and execution of pricing frameworks that align value with revenue growth and long-term customer success. The ideal candidate will possess deep experience in software/SaaS pricing, the ability to decode product capabilities into monetizable offerings, and the commercial acumen to optimize packaging, discounting, and deal structures across markets. Key Responsibilities: Own the end-to-end pricing and commercial effectiveness strategy for all inhouse AI products and services. Lead cross-functional initiatives to align pricing and packaging with product value and go-to-market strategy. Act as a key advisor to executive leadership on pricing decisions, revenue optimization, and market positioning. Develop scalable, customer-centric pricing models including subscriptions, licenses (perpetual/term), usage-based pricing, and hybrid structures. Work with Product and Engineering to translate technical capabilities and roadmap into monetizable offerings. Drive value-based pricing strategies that reflect differentiation, customer segmentation, and lifecycle management. Lead commercial performance analysis including ARR growth, margin analysis, deal win/loss patterns, renewal behavior, and pricing elasticity. Design and enforce commercial guardrails, discounting structures, and deal desk operations. Benchmark against competitors and industry to continuously refine pricing models and sales enablement tools. Build models, dashboards, and tools to support pricing decisions and sales empowerment. Qualifications: Chartered Accountant / Cost Accountant / Chartered Financial Analyst/MBA 10+ years of experience in pricing strategy, commercial operations, or product strategy Proven experience working with software/SaaS businesses and deep understanding of pricing models like subscription, usage-based, and enterprise licensing. Strong financial acumen and expertise in pricing modeling, monetization strategy, and unit economics. Ideal Candidate Will Be: Strategically minded with strong business instincts and operational discipline. Able to translate complex software products into simple, value-driven pricing structures. Comfortable navigating ambiguity, with a strong bias toward execution and measurable outcomes.

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief About Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand s and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling. Brief About The Role An Engagement Manager has complete ownership and accountability for successful delivery of client projects and enabling growth for a particular client account. Own client outcomes across engagements, typically managing multiple projects in parallel and cross-sell new consulting work. An engagement Manager plays a pivotal role in leading and executing large global programs for various clients and bring thought leadership to build a roadmap/analytics strategy . Their roles and responsibilities include the following: Business Consulting and Client Relationship Management Build, deepen and broaden client relationships at senior executive levels in conjunction with account managers of our clients. This will be measured through growth of the account. Build and maintain strong relationships with key stakeholders across various geographies, domains, and business units, effectively managing expectations and ensuring alignment with project goals. Lead and oversee large-scale analytics programs from inception to completion, ensuring alignment with client objectives and delivering impactful solutions. Work closely with cross-functional teams to design innovative and scalable analytics solutions that address client challenges and drive competitive advantage. Serve as the primary point of contact for clients, understanding their business needs, providing strategic guidance, and delivering insights that drive business impact. Construct roadmaps to enable clients strategic vision to be realized through the power of AI, Engineering & Design, by working closely with people across levels and communicating effectively Provide thought leadership in clients business planning sessions, lead proposal and statement of work (SOW) development including defining business objectives, solution approach, scope, deliverables, client responsibilities, staffing roles, pricing, and risk mitigation Stay abreast of industry trends, emerging technologies, and best practices in analytics and consulting, and contribute to thought leadership initiatives within the organization. Delivery Management Work with clients to understand key business challenges, formulate business problems and lead solution development and delivery on consulting engagements with a team project managers and consultants. Drive the execution of projects, ensuring adherence to timelines, budget, and quality standards while proactively identifying and mitigating risks. Define standard metrics and KPIs for clients and establish processes to measure them. Responsible for the quality of delivery for the engagements as measured by relationship specific measures as well as Net Promoter Score (NPS). This would include, among other things, design & review of the solution, scaling and institutionalizing analytics in the client organization, high level of program management, and meeting all other engagement goals. Successfully juggle the competing demands of multiple client projects simultaneously (including managing time and resources against changing priorities Build a highly engaged team and manage their careers, by inspiring colleagues, creating opportunities, building individuals capability and creating followership Experience in solving business problems leveraging data and AI in CPG & Manufacturing domain is preferred Provide leadership and guidance to project teams, fostering a collaborative and high-performance culture, and ensuring the development and growth of team members. Demonstrated technical acumen across a range of AI, and Data Engineering tools and platforms, including experience in helping clients operationalize advanced analytics solutions at enterprise scale Operations and P&L Management Manage P&L of the account, meeting margins while ensuring revenue targets and client satisfaction measured through NPS Ensure timely and appropriate staffing for new engagements - plan hiring and staffing decisions Overall ensure operational and financial discipline inline with organization principles Business Development - Assist the global sales and consulting teams and coordinate with internal capability teams in pursuing ongoing leads / RFPs from solutioning standpoint. Analytics Capability Development - Work with the team to help build cutting edge analytical approaches in the area of AI & data analytics and develop into solutions that can be used for pitching to clients Should be able to independently work with finance and ops/PMO teams to smoothly conduct month end revenue accruals and invoicing processes Qualification & Experience 10+ years of experience in analytics delivery and business consulting with at least 6+ years of leadership experience Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients. Knowledge of advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, impact of govt policies on product, strategic revenue management, marketing effectiveness Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Proven experience in managing stakeholders at various levels, including C-suite executives, across multiple geographies. Excellent leadership and communication skills, with the ability to inspire and influence cross-functional teams and drive consensus. Strong analytical and problem-solving skills, with the ability to translate complex data and insights into actionable recommendations. Demonstrated ability to thrive in a fast-paced, dynamic environment and effectively manage competing priorities. Willingness to travel occasionally for client engagements (when feasible). Good thought leadership & ability to structure & solve business problems, innovating, where required Outstanding presentation and communication skills (Oral and written) with the ability to inspire others to make informed decisions. Must have the ability to adapt to changing business priorities in a fast-paced business environment EDUCATION: BE / BTech, Masters / If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. [Job Title] [Location; City, Country] Job Description: Role Details Section 1 (Roles and Responsibilities) [Describe the role in detail without mentioning any technical tool/platform/programming language) Section 2 (Mandatory technical skills) [Mention the mandatory technical skill family (hard skills)] Section 3 (Mandatory non-technical skills) [Describe the mandatory non-technical skill requirement (Domain) Section 4 (Education Qualification and Certifications required, If any) [Mention the educational qualifications necessary, any certification /specific academic pedigree needed] Section 4 (Others) [Mention any other information about the role, that you may want to share with Staffing / Hiring team If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Job Description: As a Backend (Java) Engineer, you would be part of the team consisting of Scrum Master, Cloud Engineers, AI/ML Engineers, and UI/UX Engineers to build end-to-end Data to Decision Systems. Mandatory: 8+ years of demonstrable experience designing, building, and working as a Java Developer for enterprise web applications Ideally, this would include the following: o Expert-level proficiency with Java o Expert-level proficiency with SpringBoot Familiarity with common databases (RDBMS such as MySQL & NoSQL such as MongoDB) and data warehousing concepts (OLAP, OLTP) Understanding of REST concepts and building/interacting with REST APIs Deep understanding of core backend concepts: o Develop and design RESTful services and APIs o Develop functional databases, applications, and servers to support websites on the back end o Performance optimization and multithreading concepts o Experience with deploying and maintaining high traffic infrastructure (performance testing is a plus) In addition, the ideal candidate would have great problem-solving skills, and familiarity with code versioning tools such as GitHub Good to have: Familiarity with Microsoft Azure Cloud Services (particularly Azure Web App, Storage and VM), or familiarity with AWS (EC2 containers) or GCP Services. Experience with Microservices, Messaging Brokers (e.g., RabbitMQ) Experience with fine-tuning reverse proxy engines such as Nginx, Apache HTTPD If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Location: Mumbai / Bangalore About Fractal Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500 companies. Fractals vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the worlds most admired companies. Fractal has over 5000 employees across 17 global locations, including the United States, UK, India, Singapore, Middle East and Australia. Fractal has been recognized as "Great Workplace" and "Indias Best Workplaces for Women" in the top 100 (large) category by The Great Place to Work Institute; featured as a leader in Data Engineering services 2024 Data Science Services 2024 by Information Services Group. Fractal Experience is the design and behavior science unit at Fractal, that uses human-centered design, behavior science data to deliver outcomes across our client s business value chain - Growth, Acceleration, Scale. To set up clients for success, we bring in a full-stack, multi-disciplinary design team of designer researchers and strategists, behavior scientists and UX/UI designers. Key Responsibilities: Work across the entire spectrum of project phases - Provides hands-on mentoring and leadership to User Researchers, Behavioral Science experts, Interaction Designers and Visual Designers through the entire design process from the best research / strategy methods, tools, approaches that are best suited for a client project Build and present Proposal and Point of View (POV) documents for new business Identify key descriptive hypotheses, and approach to research, that will build an understanding of context and actors behavior within that context, and speculate on prescriptive hypotheses to test as prototypes Work within a multi-disciplinary problem-solving approach, combining the application of behavioral science within data science and engineering Comfort working in cross functional team, to represent a behavioral science and design perspective Lead collaborate on planning, execution, analysis / synthesis on a variety of research efforts; ranging from quick / tactical to deep / strategic Moderate customer interviews to identify underlying motivations, values, mental models and emotions Synthesize research findings into concise, actionable insights and visual frameworks that provoke client teams to think differently about the problem / opportunity space Ensure the Behavior Science and Design teams are delivering world-class deliverables and outcomes to the internal and external stakeholders. Persuasively communicate findings in reports, presentations and workshops Thought leadership internally within Fractal and in the external communities around the coming together of AI, Engineering and Design (and related topics). Attraction, engagement and retention of talented team of Behavior Architects, Design Researchers Strategists, Interaction Designers and Visual Designers who can continuously improve and transform the way we apply design to AI in an enterprise world. Shape and refine the culture of the design team; its rituals, practices, personality, values and norms. Were looking for someone who: Has 8 to 12 years industry experience including managing client and leading team, with a minimum of 2-3 years in application of behavior science. Must have demonstrable portfolio of work that reflects the breadth depth of skills as a Behavior Architect. A passion for continuous learning, including interest in reading and synthesizing research papers and books pertaining to the practice, and the ability to translate them into behavioral intervention. Has real-world experience in managing projects design teams and stakeholders (clients / customers) and is comfortable with extreme ambiguity Loves an entrepreneurial culture and is excited about the challenge of building a Behavior Science and Design capability (within an established organization) Desire to incorporate data science and design thinking into your practice of applied behavioral science Strong writing skills Adaptable to different business contexts, team structures, project phases Ability / Desire to synthesize vast quantities of qualitative data points into meaningful and digestible chunks Willingness and comfort in building rapport with clients (at all levels of their organization), throughout the various project phases Humble and sincere confidence clubbed with pragmatic optimism Understand that thinking evolves through making (and making through thinking) Desire to argue in support of a vision, and the ability to do so respectfully while keeping the team s collective objectives at the fore Tech fluency - understanding of how behavioral science and design can fit into data and AI ecosystem Exposure and experience working with international clients / geographies will be a plus Experience in consulting will be a big plus We re looking for someone with this kind of experience: Master s Degree in Behavioral science/ Cognitive Science/ Behavioral Economics/ Applied Social Psychology or equivalent degree We re looking for T-shaped people with broad skills in Business/ Management Behavioral Science and deep skills in a particular Behavioral Science domain (ie. Behavioral Economics, Cognitive Psychology, Social Psychology, etc) You might have been a SME in a large corporation or consultancy, or you may have worn many hats in a smaller organization

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Job Title: Engagement Manager - Consulting Location: Bengaluru, Karnataka, India Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief About The Team Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand s and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling. Brief About The Role An Engagement Manager has complete ownership and accountability for successful delivery of client projects and enabling growth for a particular client account. Own client outcomes across engagements, typically managing multiple projects in parallel and cross-sell new consulting work. An engagement Manager plays a pivotal role in leading and executing large global programs for various clients and bring thought leadership to build a roadmap/analytics strategy. Their roles and responsibilities include the following: Business Consulting and Client Relationship Management Business Development - Assist the global sales and consulting teams and coordinate with internal capability teams in pursuing ongoing leads / RFPs from solutioning standpoint. Experience in solving business problems leveraging data and AI in Automobile, Manufacturing or Tech domain is a must Build, deepen and broaden client relationships at senior executive levels in conjunction with account managers of our clients. This will be measured through growth of the account. Build and maintain strong relationships with key stakeholders across various geographies, domains, and business units, effectively managing expectations and ensuring alignment with project goals. Lead and oversee large-scale analytics programs from inception to completion, ensuring alignment with client objectives and delivering impactful solutions. Work closely with cross-functional teams to design innovative and scalable analytics solutions that address client challenges and drive competitive advantage. Serve as the primary point of contact for clients, understanding their business needs, providing strategic guidance, and delivering insights that drive business impact. Construct roadmaps to enable clients strategic vision to be realized through the power of AI, Engineering Design, by working closely with people across levels and communicating effectively Provide thought leadership in clients business planning sessions, lead proposal and statement of work (SOW) development including defining business objectives, solution approach, scope, deliverables, client responsibilities, staffing roles, pricing, and risk mitigation Stay abreast of industry trends, emerging technologies, and best practices in analytics and consulting, and contribute to thought leadership initiatives within the organization. Delivery Management Work with clients to understand key business challenges, formulate business problems and lead solution development and delivery on consulting engagements with a team project managers and consultants. Drive the execution of projects, ensuring adherence to timelines, budget, and quality standards while proactively identifying and mitigating risks. Define standard metrics and KPIs for clients and establish processes to measure them. Responsible for the quality of delivery for the engagements as measured by relationship specific measures as well as Net Promoter Score (NPS). This would include, among other things, design review of the solution, scaling and institutionalizing analytics in the client organization, high level of program management, and meeting all other engagement goals. Successfully juggle the competing demands of multiple client projects simultaneously (including managing time and resources against changing priorities Build a highly engaged team and manage their careers, by inspiring colleagues, creating opportunities, building individuals capability and creating followership Provide leadership and guidance to project teams, fostering a collaborative and high-performance culture, and ensuring the development and growth of team members. Demonstrated technical acumen across a range of AI, and Data Engineering tools and platforms, including experience in helping clients operationalize advanced analytics solutions at enterprise scale Manage PL of the account, meeting margins while ensuring revenue targets and client satisfaction measured through NPS Ensure timely and appropriate staffing for new engagements - plan hiring and staffing decisions The Person: Qualification Experience 10+ years of experience in analytics delivery and business consulting with at least 4+ years of leadership experience Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients. Knowledge of advanced analytics and machine learning AI techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, impact of govt policies on product, strategic revenue management, marketing effectiveness Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Proven experience in managing stakeholders at various levels, including C-suite executives, across multiple geographies. Excellent leadership and communication skills, with the ability to inspire and influence cross-functional teams and drive consensus. Strong analytical and problem-solving skills, with the ability to translate complex data and insights into actionable recommendations. Demonstrated ability to thrive in a fast-paced, dynamic environment and effectively manage competing priorities. Willingness to travel occasionally for client engagements (when feasible). Good thought leadership ability to structure solve business problems, innovating, where required Outstanding presentation and communication skills (Oral and written) with the ability to inspire others to make informed decisions. Must have the ability to adapt to changing business priorities in a fast-paced business environment EDUCATION: BE / BTech, Masters / MBA If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Location: Mumbai (Work from office) Experience: 5+ years Role Overview: We re looking for a hands-on digital marketing leader with expertise in Account-Based Marketing (ABM) and a passion for Martech and AI-powered marketing. This role is ideal for someone who thrives on building measurable, high-performing campaigns across LinkedIn, programmatic ads, chat, and personalized website experiences. The right candidate is part technologist, part growth hacker, and fully obsessed with lead generation. Key Responsibilities: Own lead generation and nurturing programs with a strong focus on designing landing pages, running A/B and multivariate tests. Use marketing automation (e.g., HubSpot Pardot) for end-to-end email campaigns, lead scoring, and segmentation. Drive website personalization and dynamic content delivery based on user behavior and account insights. Build and optimize chatbot automation to guide, qualify, and convert visitors from target accounts. Lead paid campaign strategy across LinkedIn, Google Ads, and programmatic ad platforms, aligned to ABM goals. Use ABM platforms like Madison Logic, DemandScience, and 6sense to identify high-intent accounts and activate campaigns. Must have experience in one of the above platforms. Ensure every campaign is measurable- build dashboards (GA4, Looker Studio, Matamo), analyze performance, and optimize in real time. Collaborate with sales, content, and product teams to ensure full-funnel alignment and a seamless digital experience. Qualifications: 5+ years of B2B digital marketing experience with demonstrated success in ABM strategy and execution. Deep understanding of LinkedIn Ads and programmatic advertising ecosystems. Proven experience in using ABM platforms (e.g., Madison Logic, DemandScience, 6sense) for targeting and orchestration. Skilled in marketing automation tools like HubSpot, or Freshmarketer for nurturing and scoring. Strong grasp of analytics, experimentation, and CRO best practices. Demonstrated ability to implement chatbots, website personalization, and intent-based user journeys. Must be comfortable working in fast-paced environments with cross-functional collaboration.

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. About Fractal Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500 companies. Fractals vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the worlds most admired companies. Fractal has over 5000 employees across 17 global locations, including the United States, UK, India, Singapore, Middle East and Australia. Fractal has been recognized as "Great Workplace" and "Indias Best Workplaces for Women" in the top 100 (large) category by The Great Place to Work Institute; featured as a leader in Data Engineering services 2024 Data Science Services 2024 by Information Services Group. Fractal Experience is the design and behavior science unit at Fractal, that uses human-centered design, behavior science data to deliver outcomes across our client s business value chain - Growth, Acceleration, Scale. To set up clients for success, we bring in a full-stack, multi-disciplinary design team of designer researchers and strategists, behavior scientists and UX/UI designers. Role Summary : As a Senior Design Researcher at Fractal, you will play a key role in building deep empathy with users, uncovering unmet needs, and translating research insights into actionable opportunities. You ll be an integral part of conducting the research process from planning and strategy to discovery, synthesis, and insight generation while staying true to the users voice throughout the journey. You ll collaborate closely with interaction designers, data scientists, and engineers to ensure seamless integration across all workstreams, delivering impactful, user-centered solutions. Key Responsibilities : Collaborate with cross-functional teams, including design, data science, and engineering, ensuring alignment and integration across project workstreams Develop and articulate comprehensive research plans, methodologies, and tools tailored to project needs Conduct primary and secondary research, including user interviews, ethnographic studies, and field research Synthesize research findings into clear insights, frameworks, and actionable opportunities Translate insights into design recommendations in collaboration with designers and other stakeholders Transform insights from research into user journeys and low-fi wireframes that deliver seamless user experiences Manage research logistics, including coordination with external agencies and participant recruitment Advocate for the user s voice throughout the project lifecycle, ensuring it remains central to the design process Leverage tech fluency to understand and align research outcomes within a data and AI ecosystem Experience : 6years+ of experience in design research, user experience research, or ethnographic research. Skills : Strong expertise in qualitative and quantitative research methodologies Demonstrated experience in conducting user interviews, field studies, and workshops Ability to synthesize complex findings into clear insights and actionable frameworks Strong storytelling skills to communicate research outcomes effectively

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Location: Start offshore then work out of Vietnam for 1 year. Core Skill - Pharma SME, SQL, Powerpoint, Excel, Storyboarding, Client Management, Data Science Lead the engagement overseeing the training, roadmap development, and implementation of AI projects Collaborate closely with cross-functional teams, including data scientists, engineers, and business stakeholders to ensure alignment of project goals with business objectives. Drive the development and execution of project plans, including timelines, resource allocation, and risk management to ensure successful project delivery within scope, budget, and timeline constraints Serve as the primary point of contact for the client, fostering strong relationships and managing expectations to ensure a high level of customer satisfaction throughout the engagement. Monitor project progress and performance, proactively identifying and addressing any issues or obstacles that may arise, and implementing corrective actions as needed to keep the project on track. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!