17 Thoughtspot Jobs

The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of Financial data and reporting across Consumer and Community Banking. The vision of the team is to enhance the lives of the people and increase value to the firm by harnessing the power of data and utilizing the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills for the future. The overall product objectives include constructing a data environment that enables cross-business, product, customer-centric decision making and reporting needs across Consumer and Community Banking in a consistent framework, creating an ecosystem of dashboards sourced from authoritative data sources to replace manual management reporting, and eliminating user tools to save time and increase the ability to generate insights through data and dashboards. As a Data Domain Architect in CBB- field performance area, you will play a key role in bringing transformation in how Financial, Operational, and Behavioral Data are reported and analyzed across Consumer Banking and Business Banking within CCB. Your responsibilities will include but are not limited to discovering, sourcing, designing, and delivering data domains into the Databricks powered Data Mart, enabling the Finance function to support their analytical and reporting needs. You will need to understand the needs of Finance and make data discoverable and available for analytical and reporting purposes. Job Responsibilities: - Conduct comprehensive data discoveries, sourcing, and maintenance of Financial and Operational data to support Field Performance Reporting and analytical needs. - Develop detailed Data Requirement documentation aligned with overall data strategies and models. - Collaborate with the Technology team to develop and test data wrangling workflows, ensuring validation of business logic and outcomes. - Perform integration and regression testing of data components, ensuring compliance and control measures. - Proactively identify and resolve issues/challenges, highlighting potential risks to leadership. - Engage closely with end-users and IT during the UAT phase to validate that production results meet business requirements. - Serve as a subject matter expert in relevant areas, providing support and guidance to other team members. Required qualifications, capabilities, and skills: - Bachelor's degree in MIS, Computer Science, Mathematics, Engineering, Statistics, or a related quantitative field. - Over 10 years of experience in financial solutions, data engineering, data science, or business intelligence within the financial services domain. - Proven experience in building data models that accurately represent business requirements and ensure data integrity, with a strong understanding of data governance principles. - Expertise in database queries including SQL and NoSQL, proficient in ETL techniques. - Solid understanding of data warehousing concepts, design principles, reporting development, and testing. - Deep industry or business domain knowledge relevant to the organization, proficiency in tools such as Databricks/Snowflake, Alteryx, Tableau/ThoughtSpot. - Awareness of technologies and frameworks for handling large data volumes and familiarity with analytical tools. - Ability to think beyond raw data, understand the business context, and identify business opportunities within data. - Strong written and oral communication skills, ability to engage stakeholders across technology, data, and business functions. - Capacity to solve data-related challenges, anticipate future needs, and meet tight deadlines. - Must be able to work physically in the Bangalore office 4 days a week with the option to work remotely from home 1 day per week. Join us to leverage your expertise and drive data-driven insights and solutions in a dynamic and collaborative environment. If you are passionate about data architecture and eager to make a significant impact, we encourage you not to miss this opportunity.,

A career in National Special Functions at PwC provides you with the opportunity to support service, sector, and market leaders in delivering the unique PwC client experience. You will play an important role in continuously innovating and improving Firm operations to ensure the highest quality of services for current and prospective clients. The PwC Intelligence team serves as a strategic business partner for an assigned customer, identifying and pursuing new opportunities, conducting market analysis, and preparing revenue projections. Additionally, you will be involved in developing new service offerings and solutions, enhancing existing delivery capabilities, and supporting the delivery of solutions on engagements. To excel and contribute to shaping the future in a rapidly changing world, every individual at PwC needs to embody a purpose-led and values-driven leadership approach at all levels. The PwC Professional, our global leadership development framework, establishes a common set of expectations across our lines of service, geographies, and career paths. It offers transparency on the essential skills required for success and career advancement both presently and in the future. **Responsibilities:** - Develop new skills beyond your comfort zone. - Take action to resolve issues hindering team effectiveness. - Coach team members, identify their strengths, and empower them to drive their personal development. - Analyze complex ideas or proposals and formulate a variety of meaningful recommendations. - Utilize diverse information sources, including input from various stakeholders, to devise solutions and recommendations. - Address sub-standard work or deliverables that do not meet the firm's or client's expectations. - Leverage data and insights to guide conclusions and facilitate decision-making. - Formulate a perspective on major global trends and their implications for clients. - Manage differing viewpoints to achieve consensus and positive outcomes for all involved parties. - Simplify complex messages by highlighting and summarizing key points. - Adhere to the firm's code of ethics and business conduct. - Demonstrate understanding of Firm-wide business intelligence and reporting tools like PowerBI, QlikView, Thoughtspot, and other analytical resources. - Possess experience in designing and developing enterprise-class solutions on the cloud. - Establish and maintain relationships with business partners, finance leaders, and stakeholders. - Demonstrate extensive expertise in developing and delivering complex business intelligence solutions, with a primary focus on MS Power BI encompassing Reporting, Modeling, Dashboarding, DAX, and Power Query. - Collaborate with end users to strategize, design, develop, implement, and enhance business analytics capabilities using Microsoft Power BI and/or other BI reporting tools. - Consolidate and analyze data from multiple sources to derive meaningful insights.,

As a Principle BI Architect, your primary responsibility will be to develop solution blueprints and architecture specifications for evolving business processes, specifically focusing on business planning and goal setting. You will collaborate with other architects to explore specific solutions and define project scopes. Serving as a liaison to the business community, you will ensure that their needs are fully understood by the project team. Additionally, you will review prototypes, solution blueprints, and project scopes to ensure alignment with business requirements. Your role will involve raising awareness of solutions and assisting the change management team in developing strategies to improve user adoption. You will work closely with end-users to identify opportunities for enhanced data management and delivery. Collaboration with development and testing teams is essential to ensure proper implementation and streamline processes related to data flow and quality. Staying current with industry trends, you will advise and educate management on their importance and impact. Leading and aligning multiple BI Engineers across various use cases towards standards and policies will be part of your responsibilities. You must be highly experienced in defining a common semantic layer, utilizing search capabilities, and being the design authority familiar with information consumption patterns. In terms of qualifications, you should possess a balanced mix of technical and business skills with at least 16 years of experience. Proficiency in data analysis, visualizations, problem-solving, and strategic direction is crucial. You should be well-versed in BI technologies such as PowerBI, Thoughtspot, and proficient in defining and verifying OLAP strategies and frameworks. Strong communication and interpersonal skills are essential, along with the ability to instill a strong customer service and business-oriented ethic in the team. Balancing data needs with action requirements, demonstrating strong management and leadership skills, and maintaining a proactive participative management style are key attributes for this role. Having expertise in enterprise data management, requirements planning, formulation, and documentation would be a plus. Knowledge of BioPharma Manufacturing and Supply Chain is also beneficial. The tech stack for this role includes PowerBI, Thoughtspot, Azure Cloud, Databricks, SQL, PL/SQL, Azure Analysis Services, Azure Synapse, Data Lakes, Lakehouses, Semantic Layer tools, Data virtualization tools, Power Automate, and PowerApps.,

As a Software Engineer, you will play a crucial role in developing various tools and features for Data and ML platforms at the organization. Your responsibilities will include working on projects related to data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will have the opportunity to either create custom solutions from scratch or customize existing open-source products to meet the specific needs of the company. The ideal candidate for this role is someone who enjoys tackling challenges, solving problems creatively, excels in collaborative environments, and is capable of delivering high-quality software within tight deadlines and constraints. This position will involve the development of innovative tools and frameworks that can enhance the capabilities of third-party BI tools through APIs. To qualify for this role, you should have a minimum of 4 years of hands-on experience with programming languages such as Java, Python, or Scala. Additionally, you should possess expertise in designing and implementing scalable microservices and Rest APIs, as well as hands-on experience with SQL and NoSQL databases. Experience in building and deploying cloud-native applications on platforms like AWS, GCP, or others is essential. Proficiency in DevOps tools, containers, and Kubernetes is also required. Strong communication and interpersonal skills are necessary for effective collaboration with cross-functional teams, along with a strong sense of ownership towards project deliverables. Preferred qualifications for this role include knowledge of Big Data technologies and platforms, familiarity with distributed computing frameworks like Spark, and experience with SQL query engines such as Trino and Hive. Previous exposure to AI/ML and Data Sciences domains would be advantageous, as well as proficiency in JavaScript libraries and frameworks like React. Experience with Business Intelligence (BI) platforms like Tableau, ThoughtSpot, and Business Objects is considered a plus. In terms of education and experience, a relevant academic background coupled with hands-on experience in software development is preferred. The successful candidate should be proactive, detail-oriented, and capable of working effectively in a fast-paced environment. If you are passionate about developing cutting-edge solutions in the field of data and ML, this role offers an exciting opportunity to contribute to impactful projects and drive innovation within the organization.,

As a Senior Auditor, Technology at LegalZoom, you will be an impactful member of the internal audit team, assisting in achieving the department's mission and objectives. Your role will involve evaluating technology risks in a dynamic environment, assessing the design and effectiveness of internal controls over financial reporting, and ensuring compliance with operational and regulatory requirements. You will document audit procedures and results following departmental standards and execute within agreed timelines. Additionally, you will provide advisory support to stakeholders on internal control considerations, collaborate with external auditors when necessary, and focus on continuous improvement of the audit department. Your commitment to integrity and ethics, coupled with a passion for the internal audit profession and LegalZoom's mission, are essential. Ideally, you hold a Bachelor's degree in computer science, information systems, or accounting, along with 3+ years of experience in IT internal audit and Sarbanes-Oxley compliance, particularly in the technology sector. Previous experience in a Big 4 accounting firm and internal audit at a public company would be advantageous. A professional certification such as CISA, CIA, CRISC, or CISSP is preferred. Strong communication skills, self-management abilities, and the capacity to work on multiple projects across different locations are crucial for this role. Familiarity with technologies like Oracle Cloud, AWS, Salesforce, Azure, and others is beneficial, along with reliable internet service for remote work. Join LegalZoom in making a difference and contributing to the future of accessible legal advice for all. LegalZoom is committed to diversity, equality, and inclusion, offering equal employment opportunities to all employees and applicants without discrimination based on any protected characteristic.,

You are an experienced Reporting GenAI Consultant with a strong background in developing AI-driven reporting solutions. Your role involves building and integrating Generative AI capabilities into BI platforms to enable natural language insights, automated report generation, and interactive dialogue with data. You will leverage your hands-on experience working with LLMs, prompt engineering, and modern data visualization tools to deliver innovative reporting solutions. Your responsibilities include designing, developing, and deploying GenAI-based reporting solutions that generate insights summaries, dashboards, and narrative analytics from structured and unstructured data. You will build natural language interfaces and conversational agents for querying data, enabling users to interact with reports through plain English. Additionally, you will integrate GenAI features like ChatGPT, Azure OpenAI, or Vertex AI with enterprise BI platforms such as Power BI, Tableau, Qlik, ThoughtSpot, etc. Furthermore, you will implement automated insight generation using LLMs to summarize trends, detect anomalies, and generate key takeaways. Collaboration with data engineering and BI teams is crucial to optimize data models and ensure clean, prompt-ready datasets. You will design and fine-tune prompts and templates for contextual report summarization and storytelling, and conduct POCs and pilots to evaluate the feasibility and impact of GenAI-driven reporting use cases. It is essential to ensure that solutions are secure, scalable, and compliant with enterprise governance policies. To excel in this role, you should have 10+ years of experience in Business Intelligence/Analytics with 1-2 years in Generative AI implementations. Strong experience in Power BI with exposure to augmented analytics features is required. Your expertise should include working with LLMs for natural language understanding and summarization, prompt engineering, few-shot learning, and custom summarization models. A good understanding of data storytelling, narrative generation, and auto-generated insights is essential. Experience in integrating APIs for AI models into web or reporting tools is beneficial, along with familiarity with Python or JavaScript for model integration and backend logic. Excellent communication and stakeholder management skills are also necessary for this role. Preferred qualifications include experience with RAG (Retrieval-Augmented Generation), LangChain, or similar frameworks, exposure to voice-based analytics or speech-to-insight solutions, knowledge of data governance, privacy (GDPR/CPRA), and enterprise security standards, as well as familiarity with cloud platforms like Azure.,

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we are a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are currently seeking SnowFlake Professionals with at least 12+ years of experience in the following areas: - Strong communication and proactive skills, ability to lead conversations - Experience architecting and delivering solutions on AWS - Hands-on experience with cloud warehouses like Snowflake - Strong knowledge of data integrations, data modeling (Dimensional & Data Vault), and visualization practices - Good understanding of data management (Data Quality, Data Governance, etc.) - Zeal to pick up new technologies, conduct PoCs, and present PoVs Technical Skills (Strong experience in at least one item in each category): - Cloud: AWS - Data Integration: Qlik Replicate, Snaplogic, Matillion & Informatica - Visualization: PowerBI & Thoughtspot - Storage & Databases: Snowflake, AWS Having certifications in Snowflake and Snaplogic would be considered a plus. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles: - Flexible work arrangements, Free spirit, and emotional positivity - Agile self-determination, trust, transparency, and open collaboration - All Support needed for the realization of business goals - Stable employment with a great atmosphere and ethical corporate culture.,

As a Product Manager at Tekion, you will play a crucial role in leading the development of customer-facing BI applications that provide intuitive workflows and powerful visualizations. Collaborating with customers, internal stakeholders, and subject matter experts, you will transform complex business needs into seamless product experiences. Your responsibilities will include owning the usability, accessibility, and engagement strategy for a range of analytics interfaces used by dealerships, OEMs, and internal teams. By working closely with engineering, UX, and data teams, you will drive the translation of ideas into scalable, high-quality product releases. You will tackle challenging user experience problems across budgeting, forecasting, and operational intelligence applications and validate solutions through user testing, customer feedback, and rapid iteration. Emphasizing data-informed decision-making, you will strike a balance between vision, feedback, and design sensibility. Additionally, you will support the integration and customization of ThoughtSpot and other embedded analytics experiences within Tekion products. To excel in this role, you should have four to six years of product management experience in a fast-paced environment, preferably in the development of enterprise or customer-facing SaaS products. A strong grasp of multi-tenant SaaS architectures, particularly for analytics or data-driven applications, is essential. Experience in working on budgeting, planning, or financial forecasting interfaces is highly advantageous. Proficiency in BI tools, especially ThoughtSpot, and a passion for creating seamless data experiences for business users are key requirements. Your exceptional written and verbal communication skills will be vital in distilling complexity and aligning cross-functional teams. A proven track record of delivering impactful products in collaboration with design and engineering teams, as well as empathy for users, will set you up for success in this role. A strong sense of ownership, curiosity, and a commitment to building tools that are both powerful and user-friendly are qualities that will be highly valued. This role at Tekion is not just another product position it is an opportunity to shape how customers experience data within the organization. Your contributions will directly impact how business users derive insights, make decisions, and drive operations. Your role will be instrumental in scaling Tekion's analytics ecosystem and ensuring its intuitiveness, performance, and enterprise readiness.,

As a Data Model Architect at our company, your primary responsibility will be to study and assess the current data models in our product portfolio, refining them as necessary. You will be tasked with keeping track of the current state of data models, database structures, data dictionaries, business/user requests, and prioritizing needs for new data entities. Collaboration with the core Development/Engineering team will be essential to ensure efficient data models are implemented. Your role will also involve researching and architecting database solutions, platforms, and engines, as well as establishing and maintaining a proper pipeline of data requirements. This includes data cleansing, normalization, model building, integrations, and periodic updates of master data. You will need to define and implement infrastructure requirements for data storage, retrieval, backup, and recovery, while supporting and ensuring good data-related practices within the organization. Additionally, you will assist Delivery Management in defining and executing data models and solutions, as well as contributing to the build-out of analytics solutions. To excel in this role, you should have hands-on experience with the responsibilities mentioned above and be proficient with various database engines and platforms. Experience with building Excel models and utilizing analytics engines like MS PowerBI, Thoughtspot, and Tableau is highly desirable. Furthermore, your ability to collaborate effectively with multiple development leads, teams, sales and marketing professionals, executives, and customers will be crucial. Exposure to emerging disciplines such as AI and machine learning, along with technical engineering or computer science academic qualifications, is preferred. Ideally, you should have 5-6 years of relevant experience in the field. If you meet the requirements and qualifications outlined above, we encourage you to send your resume to info@nathanresearch.com. Join our team and play a key role in shaping our data models and solutions to drive success and innovation in our organization.,

The Product Manager II for Data and Analytics Experiences at Tekion in Bangalore, India, with 4 to 6 years of experience in Product Management for SaaS Analytics and UX, plays a crucial role in leading the development of customer-facing BI applications. Tekion is revolutionizing automotive retail with intelligent software solutions for dealerships, OEMs, and consumers, driving data-driven decisions in North America and Europe. In this role, you will drive the vision, design, and delivery of customer-facing BI applications, ensuring intuitive workflows and powerful visualizations. You will collaborate with customers, internal stakeholders, and subject matter experts to translate complex business needs into impactful product experiences. Managing the usability, accessibility, and engagement strategy for a portfolio of analytics interfaces used by dealerships, OEMs, and internal teams is a key responsibility. Working closely with engineering, UX, and data teams, you will transform ideas into scalable, high-quality product releases, addressing challenging user experience problems across budgeting, forecasting, and operational intelligence applications. You will validate solutions through user testing, customer feedback, and rapid iteration, championing data-informed decision-making while balancing vision, feedback, and design sensibility. Supporting the integration and customization of ThoughtSpot and other embedded analytics experiences within Tekion products is also part of your role. The ideal candidate will have 4 to 6 years of product management experience in a fast-paced environment, preferably with enterprise or customer-facing SaaS products. Strong understanding of multi-tenant SaaS architectures, particularly for analytics or data-driven applications, is required. Experience in budgeting, planning, or financial forecasting interfaces is a strong plus, along with familiarity with BI tools, especially ThoughtSpot, and a passion for crafting seamless data experiences for business users. Exceptional written and verbal communication skills are essential, with the ability to distill complexity and align cross-functional teams. A track record of delivering products with measurable impact, in collaboration with design and engineering teams, is desired. Empathy for users, commitment to building tools that are powerful and delightful to use, a strong sense of ownership, curiosity, and a desire to build something that matters are key characteristics sought for this role. This position is pivotal in shaping Tekion's customers" data experience, directly influencing how business users extract insights, make decisions, and drive operations. Your contribution will be critical in scaling the analytics ecosystem, ensuring it remains intuitive, performant, and enterprise-ready, ultimately driving Tekion's success in the industry.,

You are a strategic thinker passionate about driving solutions in Data Analytics. You have found the right team. As an Analytics Solutions Vice President in our Finance team, you will define, refine, and deliver our firm's goals. If you're a skilled data professional passionate about transforming raw data into actionable insights and eager to learn and implement new technologies, you've found the right team. Join us in the Finance Data & Insights Team, an agile product team focused on developing, producing, and transforming financial data and reporting across CCB. Your role will involve creating data visualizations and intelligence solutions for top leaders to achieve strategic goals. You'll identify opportunities to eliminate manual processes and use automation tools like Alteryx, Tableau, and ThoughtSpot to develop automated solutions. Additionally, you'll extract, analyze, and summarize data for ad hoc requests and contribute to modernizing our data environment to a cloud platform. Job responsibilities: - Lead Data & Analytics requirements gathering sessions with varying levels of leadership and complete detailed project planning using JIRA to record planned project execution steps. - Understand databases, ETL processes, and translate logic into requirements for the Technology team. - Develop and enhance Alteryx workflows by collecting data from disparate sources and summarizing it as defined in requirements gathering with stakeholders, following best practices to source data from authoritative sources. - Develop data visualization solutions using Tableau and/or ThoughtSpot to provide intuitive insights to key stakeholders. - Conduct thorough control testing of each component of the intelligence solution, providing evidence that all data and visualizations offer accurate insights and evidence in the control process. - Seek to understand stakeholder use cases to anticipate their requirements, questions, and objections. - Become a subject matter expert in these responsibilities and support team members in becoming more proficient. Required qualifications, capabilities, and skills: - Bachelor's degree in MIS or Computer Science, Mathematics, Engineering, Statistics, or other quantitative or financial subject areas - People management experience of at least 3 years is required - Experience with business intelligence analytic and data wrangling tools such as Alteryx, SAS, or Python - Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses, Databricks, Cloud solutions - Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data - Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data - Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions - Experience with ThoughtSpot or similar tools empowering stakeholders to better understand their data - Highly motivated, self-directed, curious to learn new technologies Preferred qualifications, capabilities, and skills: - Experience with ThoughtSpot / Python major advantage - Experience with AI/ML or LLM added advantage but not a must-have. Minimum 8 years experience developing advanced data visualization and presentations preferably with Tableau - Experience with Hive, Spark SQL, Impala, or other big-data query tools. AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience - Minimum of 8 years experience working with data analytics projects, preferably related to financial services domain,

Job Summary: We are looking for a highly skilled and strategic Lead Data Engineer to drive the design, development, and implementation of modern data engineering and visualization solutions. This role requires deep expertise in data visualization , and cloud-based data warehousing and ETL . The ideal candidate will have 810 years of experience in data engineering with a proven ability to lead projects and mentor team members. Hands-on experience with tools like ThoughtSpot (preferred) , Tableau , Power BI , and backend databases like Snowflake , PostgressSQL or Databricks , along with very strong SQL proficiency, is essential. Key Responsibilities: Design and implement enterprise dashboards and visualizations using ThoughtSpot (preferred), Tableau , and Power BI . Build and optimize data architectures on Snowflake , Databricks , and other cloud platforms. Lead the end-to-end development of scalable ETL pipelines and data solutions to support enterprise analytics and reporting. Serve as a technical expert and mentor to junior engineers and analysts on data modeling, ETL design, and best practices. Collaborate with cross-functional teams including data science, product, and business stakeholders to understand data needs and deliver solutions. Establish and enforce data engineering standards, code reviews, and performance optimization practices. Own data quality, integrity, and reliability across the full data pipeline. Drive the adoption of best practices in ETL orchestration, monitoring, and documentation. Evaluate new technologies and tools to continuously improve the data ecosystem. Required Qualifications: 810 years of progressive experience in data engineering , ETL development , and business intelligence . Proven leadership in designing and deploying large-scale data pipelines and data architecture . Expertise in SQL and experience optimizing complex queries across large datasets. Strong experience in ETL tools and frameworks (e.g., dbt, Airflow, Informatica, Talend, custom scripting). Hands-on experience with cloud-based data platforms: Snowflake Databricks Proficiency in data visualization using: ThoughtSpot (preferred) Tableau Power BI In-depth understanding of data warehousing , dimensional modeling , and data governance . Excellent communication skills with the ability to lead technical discussions and influence stakeholders. Preferred Qualifications: Experience integrating ThoughtSpot with cloud data platforms. Proficiency in scripting languages such as Python . Familiarity with CI/CD pipelines , Git , and Agile methodologies. Knowledge of cloud environments such as AWS , Azure , or Google Cloud Platform . Why Join Us? Lead data engineering initiatives that directly impact strategic decision-making. Work with a modern, cloud-native data stack and enterprise-grade tools. Collaborate with a high-performing team in a fast-paced, data-driven environment. Competitive compensation, leadership opportunities, and flexible work options.

The ideal Trainer should have 8+ years of corporate experience, including 5+ years in ThoughtSpot. Key Responsibilities: Deliver hands-on training sessions on ThoughtSpot to clients or internal teams. Develop course content, training materials, and documentation. Customize training modules as per audience needs. Collaborate with data engineering and BI teams to understand use cases. Stay updated with the latest ThoughtSpot features and best practices. Requirements: Proficient in ThoughtSpot and other BI tools (Tableau, Power BI is a plus). Strong communication and presentation skills. Experience in conducting live or virtual trainings. Location - Pan India - Online,Hyderabad,ahmedabad,pune,chennai,kolkata,New Delhi,Mumbai,Bengaluru.

Job Title Ind & Func AI Value Strategy Consultant S&C GN Management Level: 09 - Consultant Location: All locations Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation About S&C - Global Network :- Accenture Strategy & Consulting Global shapes our clients future, combining deep business insight with the understanding of how technology will change industry and business models. Our focus on issues related to business intelligence, Analytics and data insights using AI & GEN AI strategy and solutions. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver innovative expertise and measurable value to clients all around the world. WHATS IN IT FOR YOU Youll be part of a diverse, vibrant, BI Strategy team which has dynamic and innovative group of creating Data and BI Strategy & Consulting professionals. We understand the vision and mission of our customers & help them by developing innovative BI Strategy with value driven use cases, roadmap & technological solutions that drive business growth and innovation. As a key pillar of our organization, the Engineering Products team worked on various fields from BI , Data & AI perspective- BI Strategy, AI Enabled BI Strategy, Data Modelling, Data Architecture, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement. What you would do in this role Participate in visioning workshop & develop innovative BI Strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to BI , BI Governance , AI enabled BI and Operating Model , Develop target strategy with respect to Business Intelligence, Tools & Technology, BI Operating Model, BI Governance, AI Enabled BI needs along with Key initiatives & roadmap. Propose best suited LLMs (Large Language Model-GPT 3.5, 4, Llama etc.) as per the selection criteria framework & serve as a trusted advisor to our clients, offering expert guidance on AI Enabled BI Propose adoption strategies that resonate with BI and plan persona-based BI strategy for enterprise function. Work closely with cross-functional teams to co-create and implement innovative . He should be able to define personas and persona journey from functional and technical aspects with respect to Business Intelligence Able to architect , delivery and design BI Enabled AI solutions that address the complex challenges faced by customers and businesses. Participate in client engagements with confidence and finesse, overseeing project scope, timelines, and deliverables to ensure seamless execution and maximum impact. Facilitate engaging workshops and training sessions to empower BI Client stakeholders with the knowledge and skills needed to embrace Data driven transformation enabled through AI. Stay abreast of emerging BI , Data and AI analytics trends and technologies, continuously improving internal capabilities and offerings. Participate in BI, AI Enabled BI and Analytics aligned solutions and client demos. Who are we looking for Years of Experience: Candidates should typically have at least 6-9 years of experience in BI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing BI strategies for clients across various industries. Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Add eligibility: Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, BI, AI and data infrastructure to find opportunities for BI and AI Enabled BI integration and develop tailored BI strategy frameworks aligned with clients' goals. Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems. Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner. Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions. The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results. Candidates should have a strong understanding of Gen AI preferences, behaviors, and values. Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI Working experience with machine learning algorithms and statistical modeling techniques. Knowledge on MLOPs tools and services from strategic mindset will be a plus. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery. Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring. Tools & Techniques Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP Have worked hands on Programming languages such as Python, R, SQL or Scala. Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc. Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc., Knowledge on LLMs-Open AIGPT, Llama Index etc. Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law. Qualification Experience: Minimum 4 year(s) of experience is required Educational Qualification: B.Tech/BE

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000 experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! REQUIREMENTS: Total experience 3+years. Strong working experience in Data Analysis. Have experience in AWS cloud, Qlik Sense ,QlikView ,Thoughtspot Strong expertise in Qlik Sense and QlikView for data visualization and dashboard development. Hands-on experience with AWS cloud technologies in a data analytics context. Proficient in SQL with the ability to write complex queries for data analysis. Experience using ThoughtSpot for business intelligence and ad-hoc reporting. Hands on experience in Python for data manipulation and automation. Exposure to ITSM tools such as ServiceNow or Jira. Work collaboratively with Business Analysts and stakeholders to define data and reporting requirements. Should have good communication and customer handling skills. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements Mapping decisions with requirements and be able to translate the same to developers Identifying different solutions and being able to narrow down the best option that meets the clients requirements Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken Carrying out POCs to make sure that suggested design/technologies meet the requirements.

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000 experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! REQUIREMENTS: Total experience 5+years. Strong working experience in Data Analysis. Strong expertise in Qlik Sense and QlikView for data visualization and dashboard development. Hands-on experience with AWS cloud technologies in a data analytics context. Proficient in SQL with the ability to write complex queries for data analysis. Experience using ThoughtSpot for business intelligence and ad-hoc reporting. Hands on experience in Python for data manipulation and automation. Exposure to ITSM tools such as ServiceNow or Jira. Work collaboratively with Business Analysts and stakeholders to define data and reporting requirements. Should have good communication and customer handling skills. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the clients business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements Mapping decisions with requirements and be able to translate the same to developers Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Role: BI Analytics Specialist Location: Remote role (Should work in EST hours, Night Shift in India) Work time: 6:00 PM to 3:30 AM IST Duration: 6 Months with possible extension Key Responsibilities: ThoughtSpot Architecture and Implementation: Design and implement ThoughtSpot solutions that meet business requirements. Configure and optimize ThoughtSpot environments for performance and scalability. Develop and maintain data models within ThoughtSpot. Business Intelligence and Analytics: Gather and analyze business requirements to create BI solutions. Design and develop interactive dashboards, reports, and data visualizations. Conduct data analysis to support business decision-making processes. Data Integration and Management: Integrate ThoughtSpot with various data sources, including Databricks, Starburst and AWS. Ensure data quality, integrity, and security within the BI solutions. Collaborate with data engineering teams to establish ETL processes. AWS: Leverage AWS services (e.g., S3, Redshift, Glue, Lambda) for data storage, processing, and analytics. Design and implement scalable data architectures on AWS. Ensure security and compliance of data solutions on AWS. Collaboration and Communication: Work closely with business stakeholders, data engineers, and data scientists to understand requirements and deliver solutions. Provide training and support to end-users on ThoughtSpot and BI tools. Stay updated with the latest industry trends and best practices in BI, ThoughtSpot, Starburst, Databricks, and AWS. Qualifications: Bachelors degree in computer science, Information Technology, Data Science, or a related field. Master’s degree preferred. 5+ years of experience in business intelligence and data analytics. Proven experience with ThoughtSpot , including architecture, implementation, and administration. Strong proficiency in Starburst and Databricks for data processing and analytics. Extensive experience with AWS services related to data analytics (S3, Redshift, Glue, Lambda, etc.). Excellent SQL skills and experience with ETL tools and processes. Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of a team in a fast-paced environment. Knowledge of data governance and security best practices. What You Are Expected to Do: ThoughtSpot environment maintenance – Clean-up, Coordination with TS & Starburst teams, Tracking the system health. Creation of Run books, SOPs, migration documents. Maintaining the connections & the other Admin objects (Tables, Views, etc.). Assisting in Environment migrations & peer review. AD Groups SyncUP Python script enhancements – Script split-up, Nested AD Group SyncUP and other improvements. Preferred Skills: Experience with other BI tools (e.g., Tableau, Power BI). Knowledge of Python for data analysis.