Mandatory Skills: GCS Composer, BigQuery, Azure, Azure Databricks, ADLS. Experience: 5-10 years Good to have skills Knowledge on CDP (customer data platform) Airline knowledge Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks leveraging open source tools and data processing frameworks. Hands-on on technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python, Hadoop Platform, Hive, airflow Experience in GCP Cloud Composer, Big Query, DataProc Offer system support as part of a support rotation with other team members. Operationalize open source data-analytic tools for enterprise use. Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification. Understand and follow the company development lifecycle to develop, deploy and deliver the solutions. Minimum Qualifications: Bachelor's degree in Computer Science, CIS, or related field 5-7 years of IT experience in software engineering or related field Experience on project(s) involving the implementation of software development life cycles (SDLC)Core Skills

ReBoot is Fractal s returnship program that is designed to reintegrate people who are rejoining the workforce after a career hiatus of a year of more. ReBoot helps re-joiners reintegrate seamlessly back into the workforce with inclusions like stipends, blended training, immersive experiences, community building and paths to full-time positions. Eligibility: 3-8 years of relevant work experience with a minimum Gap of 1 year and not more than 3 years Azure Engineer Job Location: BLR / MUM / GUR / PUNE / CHENNAI / HYD / NOIDA / COIMBATORE Grade: 8/9 About Fractal Fractal is a leading AI & analytics organization. We have a strong Fullstack Team with great leaders accelerating the growth. Our people enjoy a collaborative work environment, exceptional training, and career development as well as unlimited growth opportunities. We have a Glassdoor rating of 4/5 and achieve customer NPS of 9/10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you. 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. 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 Qualifications & Experience A bachelor s degree in Computer Science or related field with 3-8 years of technology experience Strong problem solving mindset in order to apply technology to solve a business problem. Strong experience in Data engineering, System Integration, Application Development, Data-Warehousing or BI reporting. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and related frameworks Working knowledge in Agile, Kanban and scrum teams and exposure across all the SDLC process, including testing and deployment Expertise in relational and dimensional modelling, including big data technologies. Expertise in Microsoft Azure is mandatory including components like Azure DataBricks, Azure Data Factory, Azure Data Lake Storage, Azure SQL, HD Insights, ML Service, MS Fabric etc Good knowledge of Python and Spark are required Good understanding of how to enable analytics using cloud technology and ML Ops Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus 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 Good communication skills and ability to hold conversation with stakeholders. Not the right fitLet 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!

It's fun to work in a company where people truly BELIEVE in what they are doing! We're 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, you'll enjoy your career with us! Not the right fit? Let us know you're 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!

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. About Us: 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. Job Description: We are currently seeking an experienced and detail-oriented Executive Assistant to provide comprehensive support to the CTO of Fractal. The successful candidate will play a pivotal role in managing communication, maintaining schedules, and ensuring the smooth operation of the executive's daily activities. Exceptional communication skills, proficiency in email correspondence with top-level executives, and meticulous schedule management are crucial for success in this role. Location: Bengaluru (hybrid) Key Responsibilities: Calendar and Schedule Management: Coordinate and manage the CTO's calendar, scheduling meetings, appointments, and travel arrangements. Anticipate and address potential scheduling conflicts, ensuring the CTO’s time is fully optimized Meeting Preparation: Prepare agendas, documents, and necessary materials for meetings and appointments. Ensure CTO is well-prepared for engagements by providing relevant information in advance Document Preparation and Management: Create, edit, and proofread documents, reports, and presentations as required. Maintain an organized filing system for easy retrieval of important documents Task Prioritization: Prioritize tasks and requests, managing time efficiently to meet deadlines. Proactively identify opportunities to streamline processes and improve workflow Travel Coordination: Arrange and coordinate travel plans, accommodations, and itineraries for business trips Facilitating Seamless Communication: Act as the central point of contact for internal and external stakeholders. Ensure smooth communication and coordination between the CTO and different departments Administrative Support: Handle administrative tasks efficiently to support the CTO's workflow Qualifications: A Bachelor’s degree (Master’s degree preferred) along with at least 3 years of relevant work experience, preferably in a high-growth startup environment. Proven experience as an Executive Assistant supporting top-level executives. Exceptional written and verbal communication skills. Proficient in email etiquette and experienced in communicating with executives at the high levels. Proficiency in Microsoft Office (Outlook, Word, Excel, and PowerPoint) and a strong grasp of essential office tools. Strong organizational and multitasking abilities. Strong interpersonal skills, allowing them to thrive as a central point of contact for internal and external stakeholders, fostering smooth communication and coordination. Demonstrated capability in administrative support, including managing email correspondence, calendar scheduling, and handling various administrative tasks efficiently to support the workflow of the CTO. Strong conceptual thinking and analytical skills, enabling them to contribute effectively to strategic discussions and problem-solving initiatives. High level of discretion and ability to handle confidential information. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're 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! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're 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!

Job Responsibilities We are seeking an experience individual who can play a vital role in leading and managing consulting and analytics engagements. This role is responsible for collaborating and understanding customer needs also help clients to navigate complex landscape and make informed business decisions. Translate business requirements into analytical roadmap. Manage / lead the team on solution development/delivery. Conduct regular connects with client stakeholders to review data collection status, EDA, model outputs and insights. Ensure quality and timelines for deliverables, adhering to best practices. Translate model outputs into business insights. Mandatory technical skills:- Market Mix modeling Excel to summarize data and model outputs. Power-point to create and share data & model insights. Mandatory non-technical skills:- Excellent communication and team management skills Insights generation from exploratory data analysis and model outputs Knowledge of Retail or CPG industry

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

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)

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. Not the right fitLet 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!

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. Location: Mumbai on Technical Expertise: Cloud Platforms: Proficiency in AWS, Azure, and GCP, including the use of their respective management and deployment tools. Infrastructure as Code (IaC): Advanced skills in writing and maintaining Terraform scripts for infrastructure provisioning and management. Identity and Access Management (IAM): In-depth knowledge of IAM policies and best practices, particularly with the principle of least privilege. Hybrid Cloud Solutions: Experience with designing and implementing hybrid cloud environments that integrate on-premises and cloud-based resources. Cost Optimization: Ability to implement cost-saving measures and optimize cloud resource utilization. Cloud Security: Strong understanding of cloud security protocols, compliance standards, and best practices, including the deployment of application protection platforms like PRISMA. Monitoring Tools: Familiarity with infrastructure monitoring and management tools such as Site24x7 and Cloud Aware. DevSecOps: Knowledge of DevSecOps principles and tools to integrate security into the development lifecycle. Microservices Architecture: Competence in converting monolithic applications to microservices architecture. Leadership and Management: Team Leadership: Proven experience in leading and managing technical teams, with a focus on building and nurturing talent. Project Management: Ability to manage complex projects, including cloud migrations and infrastructure transitions during mergers and consolidations. Vendor Management: Strong negotiation skills and experience in working with cloud service providers for strategic procurement and cost management. Strategic Planning: Skill in forecasting cloud expenses and engaging with company executives to align cloud strategies with business objectives. Collaboration and Communication: Stakeholder Engagement: Ability to collaborate effectively with security teams, CISO, CIO, Head of IT, and business verticals to develop and implement infrastructure guidelines. Interdepartmental Coordination: Partnering with network, server, and endpoint teams to deliver integrated solutions. Training and Development: Proficiency in identifying skill gaps and providing or facilitating appropriate training and professional development opportunities for team members. Business Acumen: Marketplace Strategy: Experience in listing products on Cloud Marketplaces to enhance customer reach and drive sales. Business Reviews: Capability to create and present comprehensive Quarterly Business Review presentations showcasing cloud achievements and initiatives. Soft Skills: Problem Solving: Excellent analytical and problem-solving skills. Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to a non-technical audience. Adaptability: Flexibility to adapt to changing technologies and business needs. Conflict Resolution: Skill in resolving team issues and conflicts in a constructive manner. Certifications: Relevant industry certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, Google Professional Cloud Architect, or similar credentials may be highly beneficial for this role.

Key Responsibilities: Recruiting Operations: Support end-to-end recruiting operations, ensuring seamless coordination between recruiters, hiring managers, and candidates. Monitor and improve recruiting workflows and SLAs. Process Design & Optimization: Design, document, and implement scalable recruiting processes. Identify bottlenecks and inefficiencies; propose and execute improvements. Automation & Tools: Develop and implement automation solutions to reduce manual tasks and improve data accuracy. Collaborate with HRIS and IT teams to integrate tools and systems. Workday Expertise: Manage and optimize recruiting workflows within Workday. Troubleshoot issues, support configuration changes, and ensure data integrity. Reporting & Analytics: Generate and analyze recruiting metrics and dashboards. Provide insights to drive data-informed decisions. Qualifications: 12+ years of experience in recruiting operations, HR operations, or a similar role. Proven track record in process design , workflow optimization , and automation Excellent project management and stakeholder communication skills. Analytical mindset with proficiency in data tools (Excel, Google Sheets, or BI tools). Ability to thrive in a fast-paced, evolving environment.

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

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-powe'red 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 (eg, PyTorch, TensorFlow, Hugging Face) Hands-on experience with GenAI tools like LangChain, LlamaIndex, RAG pipelines, Prompt Engineering & vector databases (eg, 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

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. 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. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're 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!

It's fun to work in a company where people truly BELIEVE in what they are doing! We're 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, you'll enjoy your career with us! Not the right fit? Let us know you're 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!

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 (eg 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 (eg 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)

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 (eg, 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. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Description: We are seeking a highly skilled and motivated Data Governance Consultant to join our team. As a Data Governance Consultant, you will be responsible for driving data governance initiatives, implementing metadata management and data catalog solutions, and ensuring data quality across the organization. You will work closely with clients, stakeholders, and technical teams to provide end-to-end ownership of the Data Governance program. Responsibilities: Collaborate with stakeholders to understand and define data governance requirements, policies, and guidelines. Lead the implementation and management of Collibra, Axon/EDC, Purview, Big ID and other data governance tools, including system integration, data processing, storage, automation, and reporting solutions Stay up to date with data-related government regulatory requirements and emerging trends. Review data stores in lake and cloud environments and contribute to data security strategy definition or solution design. Develop functional and technical specifications ensuring alignment with data governance objectives. Contribute to knowledge capital by sharing data governance best practices and industry trends. Assess current processes, identify improvement areas, and propose technology solutions to enhance data governance practices. Define and implement PII & Data Security Classification policies and workflows. Drive client workshops, define and implement policies for Data Loss Prevention (DLP). Demonstrate logical thinking and problem-solving skills while collaborating with cross-functional teams. Possess strong client interfacing skills and the ability to effectively communicate complex data governance concepts to non-technical stakeholders. Apply industry domain knowledge in one or two specific areas to provide context-specific data governance solutions. Qualifications: Strong experience in data governance, metadata management, data catalog, and data lineage. Proficiency in Collibra, Informatica EDC/Axon, Purview, Alation, Big ID and SQL. Familiarity with DQ tools such as Informatica Data Quality and Collibra DQ. Good understanding of data warehousing, ETL concepts, and relational databases. Proven experience in stakeholder management and end-to-end ownership of Data Governance programs. Ability to develop and implement data governance strategies, models, and best practices. Strong problem-solving skills and the ability to think logically. Awareness of the latest technologies and industry trends in data governance. Excellent communication and interpersonal skills. Ability to work collaboratively in a team environment. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're 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.

It's fun to work in a company where people truly BELIEVE in what they are doing! We're 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, you'll enjoy your career with us! Not the right fit? Let us know you're 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!