6 Thoughtspot Jobs

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.

Business Analytics Manager Position Overview: Evernorths Digital Data & Analytics (D&A) unit offers solutions that provide actionable insights to internal and external business partners and customers that help reduce health costs, improve outcomes, provide financial security and measure and forecast business performance. The Digital Data & Analytics (D&A) team has joint accountability with business operations to achieve Evernorths customer-centric, business growth objectives and strives for high levels of alignment, day-to-day engagement and. The team provides analytical discipline and rigor to enable fact-based decisions for the business. The ideal candidate for this role will be highly motivated, flexible and embrace change. The person will work closely with Evernorth Internal customers and Business partners to define, develop and analyze Business Intelligence requirements and deliverables. This individual will work in a highly matrixed environment with end users from various business areas. Moreover, the individual will contribute to user training and adoption of the BI tools available in Evernorth and implement all the necessary governance procedures. Responsibilities: Works with internal Evernorth customers and Business partners to develop and analyze business intelligence needs. Conduct requirement discussion sessions with stakeholders from various business areas, identify common gaps or challenges across different verticals Ability to prioritize business needs based on conversations. Communicate effectively with both business partners and data SMEs. Works on multiple tasks/projects as team member. Create business requirement documents for the design of solutions. Identifies and provides input to new technology opportunities that will have an impact on overall Digital Data & Analytics wide BI systems. Participates in work stream planning process including inception, technical design, development, data model, testing and delivery of BI solutions. Develops demand forecasts and project timelines. Designs and delivers end-user training and training materials. May perform analysis for a wide range of requests using data in different formats and from various platforms. Research business problems and creates models that help analyze these business problems. Provides design support for the development of business intelligence solutions. Provide trainings to internal business users and lead several business BI forums to build a healthy BI community within Evernorth. Ensure Quality / Integrity of data by comparing source data and target data Qualifications Required Experience: Total 11-13 years of experience with 8+ years of professional experience in SQL 8+ years of professional experience in building visualizations, dashboards and reports using BI Tools (e.g. Tableau, ThoughtSpot, Qlik sense, etc) 5+ years of experience in building, leading and managing teams 6+ years hands-on experience working in an agile project delivery environment. Evernorth experience a plus, preferably focused on experience with CCW or data warehousing Strong requirements analysis skills with data experience. Demonstrated experience in data informatics & data exchange, particularly using healthcare and clinical data such as: Claims, Membership, Client Structure, Benefits, Utilization Management/Case Management etc. Experience applying a consultative and collaborative approach. Work experience & expertise with team input to influence business priorities and business actions for maximum strategic benefit. Demonstrated experience working independently with limited direction / guidance. Demonstrable experience in the areas of BI development or data science Defining and documenting requirements Ability review and analyze code to help decode or research data issues using technologies such SQL, SAS, Python etc. Required Education: Business or Masters degree in MIS, Business, Computer Science or equivalent work experience and training.

As part of DMBM-BI, you will be helping to create and deliver a comprehensive measurement and reporting approach for all of Verizon Consumer Groups. In this role, you will interact with cross-functional teams working throughout Verizon bringing new experiences to life for our Customers. You will help in measurement, and reporting for cross-functional teams as they plan, build, and launch world-class experiences. You will help translate raw data into actionable insights and better experiences for our customers. Your deep knowledge of measurement solutions will help to determine the best approaches for implementations that best meet business needs. Working closely with the NBx/Pega Business teams and deliver reporting stories each release, and where required build new dashboards in Tableau or Qlik Sense Contributing to requirement sessions with key stakeholders and actively participate in grooming sessions with business teams Defining new metrics and business KPIs. Creating wireframes and mockups of reporting dashboards. Documenting all validated standards and processes to ensure accuracy across the enterprise. Collaborating with cross-functional teams to resolve NBx proposition anomalies and actively contribute to production defect resolutions. What were looking for You are a strong collaborator who can effectively own and prioritize multiple work streams and adapt during sometimes pressured situations. You display initiative and resourcefulness in achieving goals but are comfortable brainstorming and sharing ideas in a team environment. You will have excellent communication skills and the ability to speak effectively to internal and external stakeholders. You can partner across multiple business and technology teams. You should have strong Business Intelligence and analytics experience in CX (Customer Experience) area/root cause analytics with attention to detail, be adaptable to change and tight deadlines, and be focused on quality. Ability to mine, extract, transform, load large data sets, and create concise readouts and analyses based on the actionable insights found in the data. Youll need to have: Bachelors degree and Six or more years of work experience. Six or more years of relevant work experience. Experience with SQL and SQL performance tuning. Experience with Tableau and Qlik Sense. Experience with data modeling for different data sources in Tableau or Qlik Sense. Knowledge of Google Suite and database management systems. Experience with dashboard creation with insightful visualization. Knowledge of OneJira or any ticketing tool. Even better if you have one or more of the following: Experience with third-party reporting tools (e.g., ThoughtSpot, IBM Cognos, Looker tools). Exposure to HiveQL, GCP Big Query, Teradata, and Oracle databases. Basic knowledge of programming languages (e.g., VBA/Python). Ability to derive insights from data and recommend action. Knowledge of end-to-end ETL process. Where youll be workingIn this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.Scheduled Weekly Hours40