21262 Tableau Jobs - Page 16

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 28th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Job Title: Senior Data Architect – Fintech Data Lakes Location: Remote Department: Enterprise Data & Analytics / Technology Reports to: Chief Data Officer (CDO) or Head of Data Engineering Role Highlights Senior-level technical architect, strong cloud experience (GCP + Azure) Specialized in data lakes , compliance, real-time & batch pipelines Financial services / fintech domain knowledge (e.g., ledgers, payment rails, PII compliance) Expertise in SQL + Python/Scala/Java Mentoring, governance, and cross-functional advisory Factors Affecting Range Strong cloud certifications (GCP, Azure Architect) Deep domain in compliance frameworks (PCI, SOX, GLBA) Hands-on vs. purely strategic About the Role We are seeking a highly experienced Senior Data Architect to lead the architecture and governance of our fintech data platforms, spanning Google Cloud Platform (GCP) for real-time production systems and Azure for regulatory and business reporting. This role is critical to building secure, governed, and scalable data lakes that support both operational finance systems and strategic analytics. You will be responsible for designing robust data architectures that ingest, process, and govern both structured data (e.g., transactions, accounts, ledgers) and unstructured data (e.g., scanned documents, KYC images, PDFs, voice logs)—ensuring compliance with financial regulations and enabling insights across the organization. Key Responsibilities Data Lake & Architecture Strategy Architect and maintain GCP-based production data lakes for real-time transactional ingestion and processing (e.g., payment processing, KYC, fraud detection). Design Azure-based reporting data lakes for BI, regulatory, and financial reporting workloads (e.g., ledger audits, compliance reports). Build multi-zone lake structures (raw, refined, curated) across both clouds, incorporating schema evolution, data contracts, and role-based access control. Financial Data Modeling & Pipeline Design Model financial datasets (ledger data, user profiles, transactions, pricing) using dimensional, normalized, and vault approaches. Build and optimize real-time and batch pipelines with GCP (BigQuery, Pub/Sub, Dataflow) and Azure (Data Factory, Synapse, ADLS Gen2). Enable unified analytics on structured data (MySQL) and unstructured content (OCR’d documents, audio transcripts, logs). Compliance, Governance & Risk Controls Implement data access, retention, and classification policies that meet regulatory requirements (GLBA, PCI-DSS, SOX, GDPR). Collaborate with infosec, legal, and audit teams to ensure auditability and lineage tracking across data flows. Define controls for PII, financial data sensitivity, and third-party data sharing. Cross-Functional Enablement Serve as a technical advisor to business and compliance teams for data design and provisioning. Mentor data engineers and analysts on financial data structures, accuracy, and business rules. Help define enterprise standards for metadata, data cataloging, and data quality monitoring using tools like Azure Purview and GCP Data Catalog. Required Qualifications 8+ years in data architecture, with significant experience in financial services, fintech, or banking environments. Strong experience with Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Pub/Sub) and Azure Data Lake / Synapse Analytics. Deep understanding of financial data modeling, including ledgers, double-entry accounting, payment rails, and regulatory audit structures. Experience with batch and streaming architectures, including handling of high-velocity financial transactions. Proficient in SQL and at least one programming language (Python, Scala, or Java). Strong understanding of data compliance frameworks, particularly in regulated financial environments. Preferred Qualifications Prior experience with data lakehouse design using Delta Lake, Iceberg, or BigLake. Experience integrating data platforms with BI/reporting tools like Power BI, Looker, Tableau, or internal compliance dashboards. Familiarity with fraud analytics, anti-money laundering (AML) data flows, or KYC enrichment pipelines. Python programming, Web scraping, API integration, Data analysis, Machine learning, and Linux. What Success Looks Like A resilient, compliant, and scalable data foundation that enables accurate financial operations and reporting. Efficient, observable data pipelines with proactive data quality monitoring and failure alerting. High trust in the reporting data lake from internal audit, compliance, and executive stakeholders. A streamlined data access and provisioning process that supports agility while meeting governance requirements.

As an Analytics Manager specializing in Power BI, Python, and Tableau within the Insurance Domain, you will play a crucial role in designing, developing, and implementing Power BI dashboards. Your expertise in Power BI, Python, Tableau, and SQL is essential for this role. You will be responsible for leading, mentoring, and developing a team of data analysts and data scientists. Your key responsibilities will include providing strategic direction for analytical projects, defining and implementing the company's data analytics strategy, and conducting complex data analysis to identify trends and patterns. You will oversee the development of interactive dashboards, reports, and visualizations to make data insights easily accessible to stakeholders. Ensuring data integrity and consistency across systems, collaborating with cross-functional teams, and staying current with the latest data analytics trends and technologies are also important aspects of this role. Additionally, you will lead data-driven projects from initiation to execution, managing timelines, resources, and risks effectively. To be successful in this role, you should have a Bachelor's degree in data science, Statistics, Computer Science, Engineering, or a related field, with at least 10 years of experience in data analysis and 2 years in a managerial or leadership position. Proficiency in data analysis and visualization tools such as SQL, Python, R, Tableau, and Power BI is required. Strong knowledge of data modeling, ETL processes, and database management, along with exceptional problem-solving and critical thinking skills, are essential. Effective communication of complex technical concepts to non-technical stakeholders, proven experience in managing and growing a team of data professionals, strong project management skills, and domain knowledge in insurance will be advantageous for this role. If you are looking for a challenging opportunity to lead data analytics projects, collaborate with diverse teams, and drive business insights within the Insurance Domain, this role is ideal for you.,

📍 Location: Remote 💼 Type: Internship (Unpaid) 🕒 Duration: Flexible & Self-Paced 📅 Application Deadline: 5th August 2025 💼 Role Title: Data Analytics Intern (Business Intelligence Track) Do you enjoy transforming raw numbers into meaningful stories? Are you excited by the power of data to solve real-world business problems? If yes — this opportunity is built for you! At TechNest Intern, we’re looking for curious minds to join us as Data Analytics Interns. You’ll explore live business datasets, practice building dashboards, and discover how to translate insights into impact. Whether you're just starting with Excel or diving into SQL, this internship is your first step into the world of analytics. 🔍 Key Responsibilities 📌 Explore and analyze datasets to identify trends, gaps, and insights 📌 Clean and transform data using Excel, Google Sheets, and SQL 📌 Build dashboards in Power BI, Tableau, or Looker Studio 📌 Contribute to data reports and performance summaries 📌 Apply analytical thinking to case studies and mock business scenarios 📌 Receive hands-on mentoring to complete a mini-capstone project 👥 Ideal Candidates 🎓 Students, fresh graduates, or career-switchers interested in analytics 📊 Basic familiarity with Excel or spreadsheets (SQL is a bonus) 🔍 Strong attention to detail and a love for solving puzzles 🧠 Curious, self-motivated learners looking to grow with data 🎁 Perks & What You’ll Learn 📜 Verified Offer Letter & Certificate (MSME Registered Internship) 🧪 Practice with real-life business datasets and scenarios 🌍 Work 100% remotely with a schedule that fits your time 📚 Learn and apply tools like Excel, SQL, Power BI, Tableau 📊 Complete a portfolio-ready analytics project 🏆 Compete for our “Intern of the Week” Badge to highlight your growth 💬 Get ongoing mentorship and support throughout your journey 🚀 Ready to Start? If you're excited about discovering insights, solving real problems with data, and building your first analytics project — this internship is your launchpad. 📥 Apply today and take your first step toward becoming a confident, job-ready Data Analyst with TechNest Intern.

The opportunity: We are looking for a skilled and innovative Software Developer with a strong background in IT or Computer Science to collaborate closely with our Optimization Engineering team. Your role will involve designing, developing, and maintaining custom software tools and digital platforms that contribute to optimization initiatives across product design, manufacturing, and materials engineering. Your contributions will be crucial in achieving lead time reduction, material and weight savings, process efficiency, and chemical composition optimization through intelligent, data-driven solutions. How you'll make an impact: Collaborate with mechanical/electrical engineers to comprehend optimization objectives related to lead time, material usage, design, process, labor, and chemical composition. Design and create software tools, scripts, and dashboards to automate workflows, simulate optimization scenarios, and visualize engineering data. Continuously enhance existing algorithms within the Optimization System by applying software development best practices, performance profiling, and feedback from engineering teams to ensure accuracy, scalability, and efficiency. Develop and maintain digital platforms that integrate with CAD/CAE systems, PLM tools, and manufacturing databases to facilitate real-time decision-making. Assess available tools, algorithms, and offer recommendations for integration with company-owned solutions in alignment with the solution architect. Implement algorithms and data models that facilitate predictive analysis, design optimization, and process control. Support the creation of digital twins and simulation environments for testing design and process enhancements virtually. Ensure the scalability, usability, and performance of developed tools, and deliver documentation and training to engineering teams. Responsible for ensuring compliance with relevant external and internal regulations, procedures, and guidelines. Embody Hitachi Energy's core values of safety and integrity by taking accountability for your actions, while also demonstrating care for your colleagues and the business. Your background: Bachelor's degree in computer science, Information Technology, or a related field, with 3 to 6 years of pertinent experience. Proficiency in programming languages such as Python, Java, C++, C#, or JavaScript. Knowledge of .NET frameworks. Experience with data visualization tools (e.g., Power BI, Tableau) and simulation libraries. Familiarity with CAD/CAE integration, APIs, and manufacturing systems. Strong problem-solving skills and the ability to translate engineering requirements into software solutions. Capability to work both independently and as part of a team in a fast-paced environment. Proficiency in both spoken and written English language is essential. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site due to your disability. Accommodation requests can be made by completing a general inquiry form on our website, providing your contact information and specific details about the required accommodation to support you during the job application process. Please note that this accommodation process is intended solely for job seekers with disabilities requiring accessibility assistance or accommodations during the job application process. Messages left for other purposes will not receive a response.,

As a Measurement & Report Senior Analyst at Accenture, you will provide reporting and analytical insight to support the Client Services Group by standardizing and automating operational and performance metrics and reporting. You will be a seasoned analyst/developer with experience in reporting and analytics, capable of building dashboards, and solving analytical problems. Your role will involve developing visualizations to assist business leadership in understanding patterns, dependencies, and interconnections of key metrics. The ideal candidate will have an expert-level grasp of data and database technologies and a passion for developing innovative solutions in a fast-paced environment. Your responsibilities will include developing business intelligence reporting for the Individual Client Solutions production teams and supporting areas, including historical data trend analysis and visualizations to identify process improvement opportunities. You will use a combination of database and web technologies to deliver web-based self-service interfaces and partner with business areas to define critical reporting needs. Additionally, you will work with IT partners to establish access to data sources, design and execute ETL scripts, and provide support for development and infrastructure issues surrounding reporting platforms. To excel in this role, you should have a minimum of 3 years of IT-related experience, a strong understanding of ETL concepts, and proficiency in tools/programming languages such as PL/SQL, PHP, Python, Alteryx, and Tableau. You must be able to multitask and operate independently under strict timelines, while supporting reporting and analysis of key business metrics. A minimum of 4 years of SQL and general relational database proficiency is required, along with knowledge of Tableau and intermediate web design. In summary, as a Measurement & Report Senior Analyst at Accenture, you will play a crucial role in providing reporting and analytical support to the Client Services Group by standardizing and automating operational and performance metrics and reporting. Your expertise in business intelligence reporting, data visualization, and database technologies will be instrumental in driving business insights and supporting decision-making processes.,

Job Title: AVP - Financial Planning & Analysis - Corporate Banking Location : : Corporate To : Head Corporate : 4 to 7 : MBA from a premier institute or Chartered Accountant (First Overview : We are seeking a high-caliber professional to join the Corporate Banking team in a Financial Planning & Analysis (FP&A) role. This individual will work directly with the Head of Corporate Banking, playing a critical role in business strategy, financial analytics, planning, and decision support. The role will also require working closely on high-impact presentations to be made to the Board, CEO, and senior management, involving in-depth analysis of business plans, performance metrics, and growth opportunities. This is a high-visibility role suitable for someone who combines strong analytical and financial modeling skills with strategic thinking and the ability to synthesize data into clear and impactful insights. Key Business Strategy & Planning Partner with the Head of Corporate Banking to drive strategic initiatives and growth planning for the business Assist in formulation of long-term and short-term business plans, segment strategy, and execution roadmaps Conduct competitor benchmarking, market trend analysis, and customer segmentation studies to support business strategy Financial Planning & Analysis Lead budgeting, forecasting, and financial performance tracking for the Corporate Banking division Analyze financial metrics including revenue, asset growth, yield, cost of funds, profitability, and capital allocation Provide actionable insights through regular MIS reports, dashboards, and performance review packs Senior Management & Board Presentations Prepare high-quality business review decks and strategy presentations for CXO-level discussions and Board meetings Collaborate with multiple stakeholders to ensure alignment of financial narratives with business outcomes Translate complex financial data into crisp, visual storytelling for strategic Cross-functional Coordination Work closely with Finance, Risk, Credit, Treasury, and Product teams to ensure integrated financial and business reporting Participate in cross-functional projects, internal reviews, and business health Profile: 4 to 7 years of experience in FP&A, Strategy, or Business Finance roles, preferably in Corporate/Wholesale Banking at a bank or large NBFC Strong business acumen and understanding of Corporate Banking products and financial drivers Excellent skills in financial modeling, data interpretation, and scenario analysis Proficiency in Excel, PowerPoint, and exposure to data visualization tools (Power BI/Tableau) is desirable Ability to work in high-pressure, fast-paced environments with senior stakeholders Strong interpersonal, communication, and presentation Qualifications: MBA (Finance/Strategy) from a premier institute (IIMs, ISB, XLRI, FMS, Chartered Accountant (First Attempt) with relevant experience in Banking/Financial (ref:iimjobs.com)

Greetings from Teknikoz, With over 6 years of experience, you should possess the following mandatory skills: Power BI, Tableau, BI Solutions Architecture, and Dimensional Data Modeling. Your responsibilities will include: - Demonstrated proficiency in working with SAP HANA Cloud, encompassing HANA Cloud services like HANA Database XS and HANA Application Cloud. - Hands-on experience in SAP Business Application Studio BAS for SAP Cloud Platform development. - Strong background in creating and optimizing calculation views, stored procedures, and SQL-based solutions. - Thorough understanding and practical exposure to Smart Data Integration SDI for data integration and transformation. - Proficiency in using Cloud Connector for secure integration of on-premise systems with SAP Cloud solutions. - Knowledge of database triggers, constraints, and ensuring data integrity. - Solid grasp of SAP HANA development concepts and adherence to best practices. - Familiarity with SAP SDI Smart Data Integration and cloud-based data connectivity. - Experience in version control, CICD pipelines, and deployment processes in cloud environments. - Exceptional analytical and problems-solving skills. - Ability to collaborate effectively in a team and possess excellent communication skills.,

You should have at least 4 years of experience in Power BI and Tableau, specializing in data modeling for reporting and data warehouses. Your expertise should include a thorough understanding of the BI process and excellent communication skills. Your responsibilities will involve Tableau Server Management, including installation, configuration, and administration to maintain consistent availability and performance. You must showcase your ability to design, develop, and optimize data models for large datasets and complex reporting requirements. Strong analytical and debugging skills are essential to identify, analyze, and resolve issues within Power BI reports, SQL code, and data for accurate and efficient performance. Proficiency in DAX and Power Query, along with advanced knowledge of data modeling concepts, is required. Additionally, you should possess strong SQL skills for querying, troubleshooting, and data manipulation. Security implementation is crucial, as you will be responsible for managing user permissions and roles to ensure data security and compliance with organizational policies. A good understanding of ETL processes and in-depth knowledge of Power BI Service, Tableau Server, and Desktop are expected. Your familiarity with workspaces, datasets, dataflows, and security configurations will be beneficial in fulfilling your role effectively.,

You will be responsible for utilizing your expertise in Tableau to contribute to internal customer projects at GyanSys. Based in Bangalore office, you will work full-time and leverage your skills in Tableau Desktop and Tableau Server (or Tableau Cloud) for dashboard development, publishing, and administration. Your role will require advanced knowledge of Tableau features such as calculated fields, LOD expressions, data blending, actions, Tableau Prep, and various advanced chart types. Proficiency in SQL is crucial for data extraction, manipulation, and analysis, including experience with complex queries, joins, and subqueries. In addition to technical skills, your consulting experience will be valuable as you interact with business stakeholders to translate intricate business requirements into actionable solutions. You will work with diverse data sources, including relational databases, cloud storage (AWS, Azure), and APIs, with familiarity in ETL processes being a plus. Managing multiple projects concurrently and meeting deadlines will be a key aspect of your role. Strong organizational skills, both independently and collaboratively within a team, will be essential. Effective communication and presentation skills are necessary to convey complex data concepts to non-technical stakeholders. Your problem-solving abilities will be put to the test, with an emphasis on analytical skills and data accuracy and integrity. If you are passionate about Tableau and possess the requisite skills, we encourage you to apply or reach out for further details.,

You are a Tableau Developer with 3+ years of experience, based in Singapore. Your primary role will involve creating dashboards, reports, and data visualizations to facilitate data-driven decision-making for business teams. Your main responsibilities will include developing and maintaining Tableau dashboards and reports, collaborating with teams to identify reporting requirements, writing SQL queries for data retrieval and preparation, ensuring data accuracy and dashboard performance, as well as providing Tableau support and training to users. To excel in this role, you must have a minimum of 3 years of experience in Tableau development, possess a strong understanding of Tableau Desktop and Tableau Server, demonstrate proficiency in SQL, be familiar with data visualization best practices, and exhibit excellent communication and problem-solving skills. This is a full-time position based in Singapore, where you will work onsite to fulfill your job responsibilities effectively.,

SpotDraft is revolutionizing the way contracts are managed, making the process fast, easy, and stress-free for high-growth companies such as PhonePe, Chargebee, Unacademy, Meesho, and Cred. By utilizing our platform, legal teams can save 10 hours per week and close deals 25% faster. We understand that time is money, and contracts should not be a hindrance to your progress. As a Marketing Operations Specialist at SpotDraft, your responsibilities will include: Campaign Execution & Management: - Executing and managing multi-channel B2B marketing campaigns, including email, paid ads, webinars, and content syndication. - Setting up automation sequences, landing pages, and tracking within CRM and Outreach tools. - Maintaining a marketing calendar to ensure brand consistency and executional alignment. Marketing Technology & Systems: - Owning and optimizing marketing automation tools, such as HubSpot, to ensure alignment with business goals. - Managing lead scoring, segmentation, and nurturing for a smooth marketing-to-sales transition. - Evaluating, implementing, and driving adoption of new marketing tools as required. Data Analysis & Reporting: - Tracking and reporting key metrics like MQL to SQL conversion, CAC, ROI, and pipeline velocity. - Building dashboards to provide real-time insights into marketing and sales performance. - Analyzing trends and providing actionable recommendations to enhance campaign ROI. Process Optimization & Collaboration: - Documenting and refining marketing processes for scalability. - Acting as a liaison between Marketing, Sales, and Customer Success to align on pipeline, lead definitions, and customer marketing. - Collaborating with RevOps to ensure seamless reporting and data flow across the revenue funnel. - Supporting sales enablement initiatives based on marketing insights. We are looking for candidates with: - 2-3 years of experience in marketing or campaign operations within a B2B SaaS company. - Proficiency in tools like HubSpot, Salesforce; experience with Clay and Unify is a plus. - Strong analytical skills, Excel expertise, and experience with BI tools like Google Data Studio and Tableau. - Self-starter with excellent communication and project management skills. - SQL or database querying experience. - Familiarity with automation tools like Zapier, Tray.io, or similar. - Certifications in HubSpot, Clay, or Unify are preferred. At SpotDraft, you will have the opportunity to work with brilliant teammates in the legal tech industry, expand your network by interacting with industry leaders, and make a real impact by taking ownership of projects. We believe in setting big goals, making bold moves, and trusting our team members to deliver, innovate, and push boundaries. Our Core Values: - Delight Customers - Be Transparent and Direct - Be Audacious - Prioritize Outcomes - Elevate Each Other - Be Passionate and Take Ownership - Strive to be 1% better every day All personal data shared during the recruitment process will be handled with the utmost confidentiality and used solely for hiring purposes, in compliance with relevant data protection regulations.,

The structured finance analytics team at Morningstar DBRS in Mumbai is seeking a Manager who will lead a team of Quant Analysts in automating data analysis processes, developing data analytics, and enhancing workflow optimization tools to support the rating, research, and surveillance process. The ideal candidate should have a strong understanding of Structured Finance products (RMBS, ABS, CMBS) and possess technical skills in Python, Tableau, AWS, Athena, SQL, and VBA. This role requires expertise in managing a team, fostering a collaborative work environment, and prioritizing work schedules to ensure timely and quality delivery. The Manager will also be responsible for maintaining communication with global teams, transforming data, implementing quick fix solutions, and ensuring compliance with regulatory and company policies. The successful candidate should have 9-11 years of experience in Credit Modeling/Model Validation roles, hold a qualification in MBA (Finance)/BTech/PHD (Math) from a Tier I college, and demonstrate strong analytical skills with experience in working with large databases/datasets. Proficiency in Python, Tableau, Microsoft Excel, MSSQL, and familiarity with AWS infrastructure will be essential for this role. The Manager should be highly organized, efficient, and capable of multitasking to meet tight deadlines while ensuring high-quality deliverables. Morningstar DBRS is an equal opportunity employer committed to empowering investor success and driving innovation in the credit ratings industry.,

About us Bain & Company is a global management consulting firm that helps the world's most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and the largest unit of Expert Client Delivery (ECD). ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence, or Bain intellectual property. The BCN comprises Consulting Services, Knowledge Services, and Shared Services. Who you'll work with BCN Customer COE, as part of Bain's expert client delivery network, has the vision to lend expertise, speed, and competitiveness to Bain's Pricing, Commercial Excellence, Marketing & Customer Experience projects through co-developing and delivering Pricing products, designing Go-to-Market Strategy Solutions, and improving customer experience effectively through client-specific analysis/solutions. In the CoE, we develop products and deliver solutions that help clients identify and fulfill full potential across the entire value chain of sales and the customer journey. Also capturing value across from problem identification, solution designing, and implementation, to capability transfer. The CoE has a fast-paced, dynamic environment with continuous innovation and learning. We offer a multitude of professional development opportunities for those who like to problem-solve in an analytical environment. This role will sit within Bain's Commercial Excellence (CE) teams. BCN CE Teams, as part of Bain's expert client delivery network, has the vision to lend expertise, speed, and competitiveness to Bain's Commercial Excellence projects through co-developing and deploying repeatable products, supporting Bain leadership with the commercialization of these products, and delivering Go-to-market analyses on projects. What you'll do We are hyper-focused on developing and deploying solutions that help clients accelerate growth sustainably through their go-to-market engine and help them reach full potential growth from market opportunity identification to coverage planning, pricing, account cadence to optimization of sales and marketing functions, among other levers. This is an opportunity to drive the development and deployment of our suite of cutting-edge solutions that help clients realize untapped value in their existing go-to-market engine within days and weeks, supported by analysis of client data and benchmarks and define the roadmap for the next ~12-18 months of work for the client and the Bain case teams. Sales and Marketing Transformation Project Leader (PL) is the lead on a BCN case and leads a team of 3-4 associates and analysts to develop and deploy solutions on projects end-to-end from ideation to delivery and presentation, leading discussions with key internal and client stakeholders including Bain Partners, Directors, and Case teams. Usually, a PL is staffed 100% on a project and works under the guidance of the COE Senior Manager/ Manager, playing a key role in output delivery and client communication. Day-to-day work planning and team management. Take responsibility for scoping and delegating work streams; monitor and balance workloads within the team. Ensure timely, high quality, error-free analysis and output produced by the team. Bring strong problem-solving skills clubbed with specialized knowledge of various analytical tools and best practices to deploy them. Leads key client delivery and analyses across GTM levers, from solution ideation, development, and development, as needed. Provide thought leadership and sound business judgment to drive the team's overall output across every stage (from data gathering to final presentation). Brainstorm with the BCN Manager/Sr. Manager and Bain consulting/specialist team on various aspects of a client project or new IP development. Drive conversations through analytics to help drive insights through data analysis and storyline the deliverable to prove/disprove hypotheses in the best interest of the client/project. Understand client/project needs and situations and help the team adapt to project expectations and evolving needs. Work with the Manager for effective working cadence, communication, and expectation management with various project stakeholders (such as Bain case teams, practice consultants, and experts). Consistently provide responsible feedback, coaching, and mentoring to analysts and associates working with them to address their professional development needs. Also, conduct performance discussions, writing reviews for appraisal (as required). Contribute to the internal development of our practice through participation in areas such as business development, training, methodology and toolkit development, and recruiting. About you Graduate (5-8 years) / Post-Graduate (3-6 years) (preferably with a degree in engineering/science/commerce/business/economics) strong academic records. 5+ years of total relevant work experience across industries and sectors, with 2+ of those years as part of a consulting setup (mandatory) with exposure to B2B businesses (preferable). 1+ year experience in leading team/teams. Proficiency in MS-Office - Intermediate/Advanced MS-Excel, MS-PowerPoint, and MS-Word. Prior experience in analytical tools like Alteryx, Tableau, Power BI, and other similar tools is good to have. Prior experience with Go-to-market strategy, sales strategy and execution good to have. Possess excellent analytic and communication skills and should have experience working in a team environment with the ability to handle multiple tasks. Able to drive thought leadership with limited guidance and brainstorm with the team, leaders, partners, and clients to come up with creative new solutions to complex problems. What makes us a great place to work We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ, and parents.,

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Quant Analytics Analyst within the Analytics Team, you will leverage your expertise in tools like SAS, SQL, Python, and Alteryx to deliver complex analytical projects. You will build statistical models, deploy them, and generate impactful insights with measurable P&L impact. You will collaborate with finance, marketing, technology, and business teams to present clear and concise results and recommendations. Experience in retail finance or Credit card finance within a bank is a big plus. You will perform detailed quantitative analysis and data deep dive to answer questions pertaining to key business objectives. You will create and maintain dashboards to track key business P&L metrics. Providing informative business financial information and coordinating business financial planning and budget management will be part of your responsibilities. Partnering effectively with finance, marketing, technology, and business teams is crucial. You will present results and recommendations clearly and concisely. Required qualifications, capabilities, and skills include excellent knowledge of SQL and the ability to write complex SQL queries. Experience in using data extraction and data analysis tools like SQL/Pyspark SQL/Alteryx/Python/SAS is necessary. A minimum of 3 years of experience working on analytical projects involving product analysis and statistical modeling is required. Good knowledge of statistical modeling techniques related to time series forecasting, regression (linear/logistic), ML models like XGBoost, and NLP is essential. Experience in building analytical dashboards using tools like Tableau, Quicksight, SAS Visual Analytics, Streamlit, etc., is preferred. Excellent communication (verbal and written) skills, proficiency in Microsoft Office (especially Excel), and a basic understanding of cloud ops on AWS are necessary. Preferred qualifications, capabilities, and skills include a Bachelor's degree in Engineering, with CFA/FRM/MBA (Finance) being an advantage but not mandatory.,

Are you a seasoned supply chain leader with deep expertise across sourcing, procurement, logistics, and finance and ready to lead impactful digital transformation using cutting-edge tools Latinum is looking for a Process Mining & Transformation Consultant (Manager Role) to drive high-stakes, enterprise-level initiatives. If you're passionate about process excellence, digital innovation, and delivering real business impact, this opportunity is for you. Lead end-to-end implementation of process mining and transformation programs. Deploy internal control frameworks across Supply Chain & Finance. Oversee program delivery including resource planning, risk management & executive reporting. Collaborate on RFP/RFQ processes and craft tailored client solutions. Transform processes across AP, AR, RTR, Procurement, Logistics & more. You bring 10 - 15 years of experience in Supply Chain & Finance functions with a strong project management background. A Masters Degree (MBA/CA/CPA preferred), especially in SCM or Finance. Deep knowledge of Plan, Buy, Make, Deliver processes. Familiarity with Celonis, SAP/Oracle ERP, Power BI/Tableau, and SQL. Proven experience in process transformation & internal controls. Excellent stakeholder management and communication skills. Join Latinum to work with global clients, drive cutting-edge digital projects, and shape business outcomes using the latest tools in process intelligence.,

As a Client Analyst at Data Axle, you will play a crucial role in utilizing data and analysis to support engagements with our external customers. Your primary responsibilities will involve owning various recurring and ad hoc analysis tasks for our customers, utilizing a range of data sources both internal and client-specific. You will be required to pivot between different data tools and sets to construct comprehensive narratives, including web and mobile analytics, email and marketing performance, and customer transactions. Your deliverables will often involve creating Microsoft Excel workbooks and engaging in light Tableau visualization. Collaboration and communication will be key aspects of your role as you partner with stakeholders to ensure that the analysis provided is actionable and drives change. You will proactively investigate data anomalies, highlight trends, and recommend and measure tests on customer marketing campaigns to enhance conversion and ROI. Additionally, you will be responsible for setting the strategy for data collection methodology, analytics tools, analysis conducted, and reports built for each client, ensuring data integrity, governance, and standardized reporting. Furthermore, you will have exposure to more advanced statistical analysis projects for clients, such as persona building, customer profiling, and segmentation. This role requires a Bachelor's degree in Computer Science, Math, Economics, Statistics, or a related field, along with 1-3 years of experience in business intelligence and analytics. Proficiency in Microsoft Excel, SAS, SQL, and Tableau would be beneficial. A high sense of urgency, the ability to work well in a matrixed environment, creativity in problem-solving, critical thinking skills, and effective communication abilities are essential for success in this role. This position description aims to outline the primary duties expected of a Client Analyst at Data Axle, emphasizing the importance of leveraging data and analysis to drive actionable insights and business outcomes.,

As the leader of a team of 5-6 data professionals, you will be responsible for managing delivery across 2-3 client engagements simultaneously. This role requires a combination of technical expertise in data analytics, BI development, and cloud solutions, along with team management and client relationship management responsibilities. In terms of team leadership and delivery, your key responsibilities will include leading and mentoring the data professionals in your team, managing project deliveries for multiple client engagements, establishing project timelines and quality standards, reviewing and approving technical deliverables, monitoring team performance, and providing guidance as needed. You will also be involved in technical solution design and implementation, where you will design data integration solutions using Azure Data Factory and other cloud services, develop complex semantic models and data warehouse solutions, create dashboards and reports using Power BI and Tableau, implement row-level security and data governance standards, establish technical best practices, and ensure adherence to standards. Furthermore, as part of client and stakeholder management, you will be required to build and maintain strong relationships with key stakeholders, lead client meetings and presentations, drive requirement gathering and solution validation, manage project scope and expectations, identify and mitigate project risks, and ensure client satisfaction and delivery quality. To qualify for this role, you should hold a Bachelor's degree in computer science, Statistics, Mathematics, or a related field, along with at least 5 years of experience in data analytics and BI, including a minimum of 2 years in a managerial role. You should have expert-level proficiency in SQL and data modeling, as well as proficiency in data visualization tools such as Tableau and Power BI, and programming languages. Advanced knowledge of DAX for writing complex calculations, strong expertise in Azure cloud services (particularly Azure Data Factory), and proven experience in designing and implementing data warehouses are also required. Additionally, you should possess strong analytical and problem-solving skills, with a focus on data-driven decision-making, experience with data management and statistical analysis techniques, excellent communication and stakeholder management skills, and preferably Power BI certification and Azure certifications (Data Engineer, Solution Architect). Hands-on experience with Python for data analysis would be a plus.,

Job Title : Payer Analytics Specialist. Position Summary The Payer Analytics Specialist is responsible for driving insights and supporting decision-making by analyzing healthcare payer data, creating data pipelines, and managing complex analytics projects. This role involves collaborating with cross-functional teams (Operations, Product, IT, and external partners) to ensure robust data integration, reporting, and advanced analytics capabilities. The ideal candidate will have strong technical skills, payer domain expertise, and the ability to manage 3rd-party data sources effectively. Key Responsibilities Data Integration and ETL Pipelines : Develop, maintain, and optimize end-to-end data pipelines, including ingestion, transformation, and loading of internal and external data sources. Collaborate with IT and Data Engineering teams to design scalable, secure, and high-performing data workflows. Implement best practices in data governance, version control, data security, and documentation. Analytics And Reporting Data Analysis : Analyze CPT-level data to identify trends, patterns, and insights relevant to healthcare services and payer rates. Benchmarking : Compare and benchmark rates provided by different health insurance payers within designated zip codes to assess competitive positioning. Build and maintain analytical models for cost, quality, and utilization metrics, leveraging tools such as Python, R, or SQL-based BI tools. Develop dashboards and reports to communicate findings to stakeholders across the organization. 3rd-Party Data Management Ingest and preprocess multiple 3rd party data from multiple sources and transform it into unified structures for analytics and reporting. Ensure compliance with transparency requirements and enable downstream analytics. Design automated workflows to update and validate data, working closely with external vendors and technical teams. Establish best practices for data quality checks (i.e., encounter completeness, claim-level validations) and troubleshooting. Project Management And Stakeholder Collaboration Manage analytics project lifecycles : requirement gathering, project scoping, resource planning, timeline monitoring, and delivery. Partner with key stakeholders (Finance, Operations, Population Health) to define KPIs, data needs, and reporting frameworks. Communicate technical concepts and results to non-technical audiences, providing clear insights and recommendations. Quality Assurance And Compliance Ensure data quality by implementing validation checks, audits, and anomaly detection frameworks. Maintain compliance with HIPAA, HITECH, and other relevant healthcare regulations and data privacy requirements. Participate in internal and external audits of data processes. Continuous Improvement and Thought Leadership. Stay current with industry trends, analytics tools, and regulatory changes affecting payer analytics. Identify opportunities to enhance existing data processes, adopt new technologies, and promote data-driven culture within the organization. Mentor junior analysts and share best practices in data analytics, reporting, and pipeline development. Required Qualifications Education & Experience : Bachelor's degree in Health Informatics, Data Science, Computer Science, Statistics, or a related field (Master's degree a plus). 3-5+ years of experience in healthcare analytics, payer operations, or related fields. Technical Skills Data Integration & ETL : Proficiency in building data pipelines using tools like SQL, Python, R, or ETL platforms (i.e., Talend, Airflow, or Data Factory). Databases & Cloud : Experience working with relational databases (SQL Server, PostgreSQL) and cloud environments (AWS, Azure, GCP). BI & Visualization : Familiarity with BI tools (Tableau, Power BI, Looker) for dashboard creation and data storytelling. MRF, All Claims, & Definitive Healthcare Data : Hands-on experience (or strong familiarity) with healthcare transparency data sets, claims data ingestion strategies, and provider/facility-level data from 3rd-party sources like Definitive Healthcare. Healthcare Domain Expertise Strong understanding of claims data structures (UB-04, CMS-1500), coding systems (ICD, CPT, HCPCS), and payer processes. Knowledge of healthcare regulations (HIPAA, HITECH, transparency rules) and how they impact data sharing and management. Analytical & Problem-Solving Skills Proven ability to synthesize large datasets, pinpoint issues, and recommend data-driven solutions. Comfort with statistical analysis and predictive modeling using Python or R. Soft Skills Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders. Strong project management and organizational skills, with the ability to handle multiple tasks and meet deadlines. Collaborative mindset and willingness to work cross-functionally to achieve shared objectives. Preferred/Additional Qualifications Advanced degree (MBA, MPH, MS in Analytics, or similar). Experience with healthcare cost transparency regulations and handling MRF data specifically for compliance. Familiarity with Data Ops or DevOps practices to automate and streamline data pipelines. Certification in BI or data engineering (i.e., Microsoft Certified : Azure Data Engineer, AWS Data Analytics Specialty). Experience establishing data stewardship programs and leading data governance initiatives. Why Join Us Impactful Work - Play a key role in leveraging payer data to reduce costs, improve quality, and shape population health strategies. Innovation - Collaborate on advanced analytics projects using state-of-the-art tools and platforms. Growth Opportunity - Be part of an expanding analytics team where you can lead initiatives, mentor others, and deepen your healthcare data expertise. Supportive Culture - Work in an environment that values open communication, knowledge sharing, and continuous learning. (ref:hirist.tech)

At Improzo, we are dedicated to improving life by empowering our customers through quality-led commercial analytical solutions. Our team of experts in commercial data, technology, and operations collaborates to shape the future and work with leading Life Sciences clients. People are at the heart of our success, guided by our CARE values framework: - Customer-Centric: Prioritize customer needs and outcomes in every action. - Adaptive: Pursue bold and disruptive avenues with a growth mindset. - Respect: Foster a culture of collaboration, honesty, and ethical responsibility. - Execution: Deliver quality-led execution with the highest standards. We are looking for a candidate to lead a team of dynamic analytics professionals to assist clients in achieving their business goals through data analytics. Key responsibilities include partnering with client analytics teams, maintaining an understanding of pharmaceutical sales and marketing, managing reporting activities, communicating with stakeholders, providing strategic leadership, and collaborating with clients and internal teams. Core competencies for this role include technical skills in advanced excel, PowerPoint, SQL, Tableau/PowerBI, and experience in R/Python/SAS. Domain knowledge in healthcare, particularly in the life sciences industry, is essential. The candidate should excel in client communications, data analysis, handling large volumes of data, and working with offshore/onshore teams. Other essential skills include empathy, adaptability, emotional intelligence, attention to detail, planning, organizing, and teamwork. The must-have skills for this position include Tableau/Power BI, SQL, excellent communication, analytical skills, problem-solving abilities, stakeholder management, and teamwork. Additional skills in stakeholder management and knowledge of therapy areas are advantageous. Qualified candidates should hold a Bachelor's or Master's degree in engineering with strong academic performance in analytic and quantitative coursework. We offer a competitive salary and benefits package, opportunities to work on cutting-edge projects in the life sciences industry, a collaborative work environment, and professional development opportunities. Join us at Improzo to make a difference and drive innovation in commercial analytics for the life sciences sector.,

The team works on data collected from various business domains, including Rewards, Health, Assessments, HR, McLagan, and Radford, continually seeking new opportunities to develop innovative analytical products that can potentially generate future revenue streams. Leveraging advanced applications and statistical/data-science expertise, the team engages in hypothesis testing, prescriptive analysis, and predictive analytics to address critical business/client inquiries using tools like Python, SQL, and Databricks. Insights are communicated through visualization tools such as Tableau, Power BI, PowerPoint, or VBA-powered Excel dashboards. Additionally, the team supports consulting studies/products within the HCS People and Performance Analytics portfolio. As a member of the Rewards Innovation Team, you will have the chance to collaborate with Aon Clients and global leaders, contributing to Aon's strategic initiatives. By utilizing your skill set, you can make a significant impact across various domains, transforming businesses and touching lives worldwide. This role offers a unique opportunity to work closely with a small team, gaining visibility among Aon Leadership both onshore and offshore. Moreover, you will have the opportunity to delve into advanced analytics areas like NLP (text analytics) and Machine Learning. As a team member, you should be adaptable in acquiring new skills quickly to align with evolving business requirements. An analytical mindset is crucial for conducting data analysis and visualization on extensive datasets. Strong problem-solving skills and coding for automation will enable you to explore new possibilities, enhance efficiency, and deliver innovative solutions. Effective presentation skills for senior leaders and the ability to create client-ready reports are essential. Proficiency in creating SQL queries and performing database operations like creating views and procedures are also necessary. Basic knowledge of VBA, Tableau/Power BI, or Python is essential, along with intermediate proficiency in Statistics, SQL, and MS applications. Familiarity with any programming language is advantageous. Key Requirements: - Good communication skills - Logical reasoning - Analytical abilities - Data interpretation This role necessitates comfort working in an unstructured environment, as it involves exploratory projects without clearly defined modes of operation or start and end objectives. A resilient attitude is imperative, as research may involve experimenting with multiple unsuccessful approaches until the optimal solution is identified. You should possess high data acumen, attention to detail, and the ability to identify patterns effectively. Strong logical reasoning skills, coupled with a problem-solving drive, are essential. The capability to comprehend complex requirements and articulate intricate ideas across teams is critical for success in this role.,

Company : WonDRx. Business Type : Startup. Company Type : Product & Service. Business Model : B2B2C. Funding Stage : Pre-seed. Industry : Healthtech. Salary Range : 10-35 Lacs PA. Job Description : the Job. WonDRx (pronounced as Wonder-Rx) is an innovative and disruptive technology platform in healthcare, aiming to connect patients, doctors, and the entire healthcare ecosystem on a single platform. We are looking for a Data Analytics and Research Manager (AI-driven) to lead analytics and insights strategy aligned with our fast-growing product and business goals. This person will manage data pipelines, apply AI/ML models, perform healthcare research, and build a small but high-performing analytics team. Key Responsibilities Define and lead the data and analytics roadmap. Design and manage health data pipelines, dashboards, and KPIs. Apply ML/NLP for patient behavior prediction and analytics automation. Conduct market and competitor research to support business strategies. Collaborate across teams and present insights to CXOs. Mentor a data analytics team ensuring accuracy and impact. Tools & Technologies. Languages : SQL, Python/R. AI/ML : scikit-learn, TensorFlow. BI Tools : Power BI, Tableau, Looker. Cloud Stack : BigQuery, Snowflake, AWS, Databricks. GenAI Tools : ChatGPT, Copilot, Custom - Bachelors/Masters in Data Science, Statistics, Engineering, or related. 610 years in analytics with at least 2+ years in a leadership role. Strong business acumen, preferably in healthcare/life sciences. Hands-on AI/ML experience. Excellent communication and storytelling skills. Join us to transform the healthcare experience for millions. (ref:hirist.tech)

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Data Domain Architect Lead - Vice President within the Finance Data Mart team, you will be responsible for overseeing the design, implementation, and maintenance of data marts to support our organization's business intelligence and analytics initiatives. You will collaborate with business stakeholders to gather and understand data requirements, translating them into technical specifications. Leading the development of robust data models to ensure data integrity and consistency, you will oversee the implementation of ETL processes to populate data marts with accurate and timely data. Your role will involve optimizing data mart performance and scalability, ensuring high availability and reliability, while mentoring and guiding a team of data mart developers. Responsibilities: - Lead the design and development of data marts, ensuring alignment with business intelligence and reporting needs. - Collaborate with business stakeholders to gather and understand data requirements, translating them into technical specifications. - Develop and implement robust data models to support data marts, ensuring data integrity and consistency. - Oversee the implementation of ETL processes to populate data marts with accurate and timely data. - Optimize data mart performance and scalability, ensuring high availability and reliability. - Monitor and troubleshoot data mart issues, providing timely resolutions and improvements. - Document data mart structures, processes, and procedures, ensuring knowledge transfer and continuity. - Mentor and guide a team of data mart developers if needed, fostering a collaborative and innovative work environment. - Stay updated with industry trends and best practices in data warehousing, data modeling, and business intelligence. Required qualifications, capabilities, and skills: - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - Extensive experience in data warehousing, data mart development, and ETL processes. - Strong expertise in Data Lake, data modeling, and database management systems (e.g., Databricks, Snowflake, Oracle, SQL Server, etc.). - Leadership experience, with the ability to manage and mentor a team. - Excellent problem-solving skills and attention to detail. - Strong communication and interpersonal skills to work effectively with cross-functional teams. Preferred qualifications, capabilities, and skills: - Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud). - Familiarity with advanced data modeling techniques and tools. - Knowledge of data governance, data security, and compliance practices. - Experience with business intelligence tools (e.g., Tableau, Power BI, etc.). Candidates must be able to physically work in our Bengaluru Office in the evening shift from 2 PM to 11 PM IST. The specific schedule will be determined and communicated by direct management.,

RECODE minds is currently seeking a full-time Research Associate in Data Science to join our team for an exciting new venture within the e-learning industry. As the ideal candidate, you will play a crucial role in conducting analytical experiments with precision and regularly assessing alternative models using theoretical approaches. This opportunity offers you the chance to be part of a dynamic and innovative team that creates analysis tools impacting our products and clients positively. Your responsibilities will include researching and developing statistical learning models for data analysis, collaborating with product managers and technical trainers to address company needs, staying updated on the latest technological advancements, processing and validating data integrity, performing ad-hoc analysis, and effectively communicating results to key stakeholders. Proficiency in data science toolkits such as Python, R, Weka, NumPy, MatLab, etc., is essential, with expertise in at least one of these tools being highly desirable. You will also be required to implement new methodologies and optimize development efforts through strategic database usage and project design. The ideal candidate for this position should possess a Bachelor's or Master's degree in Statistics, Computer Science, Machine Learning, or a related field. Proficiency in Data Analytics using Python, ML, R, Advance ML, and Tableau (optional) is crucial, with 1-3 years of relevant work experience also considered acceptable. This position is open for both internship and full-time roles, based in Hyderabad. If you are interested in joining our team, please share your resume along with a brief summary of your profile to hr@recodeminds.com.,

We are seeking a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. In this role, you will work with complex financial datasets, develop machine learning models, and provide data-driven insights to support business decisions and product innovation. The ideal candidate will be hands-on, analytical, and dedicated to solving real-world problems using data. Required Skills & Experience: - 4-6 years of proven experience in Data Science, preferably in finance or FinTech. - Strong coding skills in Python, R, and SQL. - Experience with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch. - Solid foundation in statistical modeling, data analysis, and deep learning. - Familiarity with cloud platforms such as AWS, Azure, or GCP. - Proficiency in data visualization tools like Power BI, Tableau, or Matplotlib. - Excellent communication skills for presenting data-driven insights effectively. Preferred Qualifications: - Master's or Bachelor's degree in Data Science, Computer Science, Statistics, or related field. - Exposure to NLP, generative AI, or large language models. - Experience with MLOps practices for deploying and monitoring models. Key Responsibilities: - Analyze large-scale financial datasets to identify insights and trends. - Develop and deploy machine learning models for predictive analytics. - Translate business challenges into data science problems and propose solutions. - Collaborate with product and business teams to implement data-driven features. - Communicate analytical findings clearly through visualizations for non-technical stakeholders. - Explore and adopt emerging tools, techniques, and best practices in AI/ML continuously. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected as per project requirements. GlobalLogic offers a culture of caring, learning and development opportunities, interesting & meaningful work, balance and flexibility, and a high-trust environment. We are committed to continuous growth and creating innovative solutions with our clients. Join us to be part of a global digital engineering partner known for impactful and cutting-edge solutions.,