10154 Tableau Jobs - Page 18

Business Advisors shape the vision and strategy with the client, understand the needs of the users/stakeholders, carry out an elicitation of processes, data and capabilities and derive the target processes and the business requirements for the current and future solution. Job Description - Grade Specific Performs analysis of processes, systems, data and business information and research, and builds up domain knowledge. Skills (competencies) Abstract Thinking Active Listening Agile (Software Development Framework) Analytical Thinking Backlog Grooming Business Architecture Modeling Business Process Modeling (e.g. BPMN) Change Management Coaching Collaboration Commercial Acumen Conceptual Data Modeling Conflict Management Confluence Critical Thinking CxO Conversations Data Analysis Data Requirements Management Decision-Making Emotional Intelligence Enterprise Architecture Modelling Facilitation Functional IT Architecture Modelling Giving Feedback Google Cloud Platform (GCP) (Cloud Platform) Influencing Innovation Jira Mediation Mentoring Microsoft Office Motivation Negotiation Networking Power BI Presentation skills Prioritization Problem Solving Project Governance Project Management Project Planning Qlik Relationship-Building Requirements Gathering Risk Management Scope Management SQL Stakeholder Management Story Mapping Storytelling Strategic Management Strategic tThinking SWOT Analysis Systems Requirement Analysis (or Management) Tableau Trusted Advisor UI-Design / Wireframing UML User Journey User Research Verbal Communication Written Communication.

Role Description The role is to perform a number of key functions that support and control the business in complying with a number regulatory requirements such as MiFID II, EMIR, CFTC and SFTR . This role forms part of a team in Bangalore that supports Regulatory reporting across all asset classes: Rates, Credit, Commodities, Equities, Loans and Foreign Exchange. Key responsibilities include day to day exception management MIS Compilation and User Acceptance Testing (UAT). This role will also indulge in supporting in-house tech requirements in terms of building out reports, macros etc. Your key responsibilities Performing and/or managing various exception management functions across reporting for all asset classes, across multiple jurisdictions Ensure accurate, timely and completeness of reporting Working closely with our technology development teams to design system solutions, the aim to automate as much of the exceptions process as possible Liaising with internal and external teams to propose developments to the current architecture in order to ensure greater compliance with Regulatory requirements and drive improved STP processing of our reporting across all asset classes Perform root cause analysis or exceptions with investigation & appropriate escalation of any significant issues found through testing, rejection remediation or any other stream to senior management to ensure transparency exists in our controls Ability to build and maintain effective operational process and prioritise activities based on risk. Clear communication and escalation. Ability to recognize high risk situations and deal with them in a prompt manner. Documentation of BI deliverables. Support the design of data models, reports and visualizations to meet business needs Develop end-user reports and visualizations Your skills and experience 3-5years work experience within an Ops role within financial services. Graduate in Science/ Technology/ Engg./ Mathematics. Regulatory experience (MIFIR, EMIR, Dodd Frank, Bank of England etc.) is preferred Preferable experience in Middle Office/Back Office, Reference Data and excellent in Trade Life Cycle (At least 2 asset Classes Equities, Credits, Rates, Foreign Exchange, Commodities) Ability to work independently, as well as in a team environment Clear and concise communication and escalation. Ability to recognise high risk situations and deal with them in a prompt manner. Ability to identify and prioritize multiple tasks that have potential operational risk and p/l impact in an often high-pressure environment Experience in data analysis with intermediate/advanced Microsoft Office Suite skills including VBA. Experience in building reports and BI analysis with tools such as SAP Business Objects, Tableau, QlikView etc. Advanced SQL Experience is preferred.

Teaching Assistant – Data Science & Data Analyst Program Full Time (Offline) We’re looking for passionate Teaching Assistants to support our offline Data Science and Data Analyst programs. You’ll help learners master concepts across Python, SQL, Excel, Statistics, Power BI/Tableau, Machine Learning, Deep Learning, NLP, and Generative AI. Key Responsibilities: Conduct doubt-clearing sessions and hands-on activities. Guide learners through projects in EDA, dashboards, ML, NLP, and generative models. Track learner progress and provide personalized support. Assist in batch coordination, project reviews, and curriculum improvement. Requirements: Strong in Python, SQL, Statistics, Excel, ML/DL (TensorFlow, PyTorch), NLP (spaCy, Hugging Face), and Gen AI tools (OpenAI, LangChain). Clear communication and mentoring skills. Experience with ML projects, dashboards, and NLP/generative AI tools. Bonus: Experience in mentoring, AI projects on Kaggle, Hugging Face, or GitHub. Show more Show less

Role Title: Head- Business Intelligence & AI Reporting To: Chief Information Officer Location of Posting: Corporate office, Vadodara Position Overview: We are seeking seasoned Head- Business Intelligence & AI to lead our data strategy, design scalable data models, and drive analytical and AI innovation across the organization. This role combines leadership in data science, AI and business analytics with deep technical expertise in data architecture and modelling, AI/ML, ETL, Dashboards and AI including Gen AI, Agentic AI. The ideal candidate will be a strategic thinker, technical expert, and effective communicator capable of aligning data initiatives with business objectives. As the Head of AI and Analytics in a chemical manufacturing organization, your role involves leveraging AI and analytics across all functions—R&D, production, supply chain, sales, marketing, finance, HR, and compliance—while incorporating dashboarding, ETL processes, and a data lake to enable data-driven decision-making. Key Responsibilities: Data Strategy Leadership - Define and drive the enterprise-wide business intelligence and analytics strategy , Align BI initiatives with overall business goals and digital transformation priorities Formulate a comprehensive AI and analytics roadmap aligned with the organization’s goals, focusing on improving operational efficiency. Oversee the design and maintenance of a centralized data lake to store diverse data, ensuring scalability, security, and accessibility for cross-functional BI and AI initiatives. Identify cross-functional use cases, such as using AI to predict market demand, optimize pricing strategies, or enhance employee training programs. Apply AI for predictive maintenance of equipment and process optimization while using BI to monitor production KPIs and identify bottlenecks through historical data analysis. Stakeholder Engagement - Collaborate with executive leadership, functional heads, and IT to identify analytics needs, Translate business questions into actionable insights and dashboards Leadership: Lead the Analytics and AI team, provide strategic insights to the C-suite, and foster a data-driven culture. Develop and maintain interactive dashboards for all functions, providing real-time insights to stakeholders Data-Driven Decision Support - Deliver KPIs, scorecards, and predictive models to enable strategic decision-making, Promote advanced analytics, AI/ML initiatives, and scenario planning AI & GenAI Enablement: Spearhead AI and Generative AI initiatives, including hands-on leadership in deploying LLMs, implementing RAG (Retrieval-Augmented Generation) models, and identifying data science-driven opportunities across the organization. Data Governance & Quality: Ensure best practices in data governance, security, and quality management to uphold data integrity and compliance. Education Qualification: Bachelor’s or master’s in computer science, Data Science, Statistics, or related field. PhD is a plus. Experience: 10+ years of experience in analytics, data architecture, or related roles. Strong knowledge of data modelling techniques Understanding of Data Science (SQL, Python, R, and at least one cloud platform. Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT) Technical Competencies/Skills: Analytics tools (Data Lake, Tableau), and integration with other systems Deep understanding of manufacturing processes and best practices. Proven track record of implementing enterprise analytics solutions and predictive modeling at scale. Strong hands-on experience with tools like Power BI, Tableau, Python/R, SQL, and cloud platforms (AWS/GCP/Azure) or any other relevant cloud platform. Experience setting up and managing data lakes and developing end-to-end data pipelines. Sound understanding of AI/ML techniques , LLMs , GenAI tools , and emerging technologies in data science. Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT). Behavioural Competencies: Strong leadership and team management skills. Excellent communication and interpersonal skills. High level of initiative and proactive approach to problem-solving. Ability to work under pressure and manage multiple priorities. Excellent verbal and written communication skills, with the ability to present complex information to both technical and non-technical stakeholders. Strong analytical and problem-solving skills, with the ability to make data-driven decisions. Show more Show less

SUMMARY SQL Developer Job Description As a SQL Developer, you will be working at the intersection of marketing inspiration and analytical insight, playing a crucial role in digital transformation. Your expertise in transforming relevant data to facilitate business decision-making will be essential. This role requires a technical bachelor’s degree and prior work experience in programming and data analysis. As an Individual Contributor, you will be tasked with identifying complex problems, breaking them down into smaller parts, and implementing creative, data-driven solutions. Your responsibilities will include defining, tracking, and improving key metrics, as well as communicating business trends. Role and Responsibilities Deliver operational and strategic Analytics and manage Analytics projects with a minimum of 4 years’ experience. Design solution architecture, proof of concept/prototype, database design, and report testing. Perform data analysis, develop reporting specs, create reports and dashboards, and write complex SQL queries. Design and develop database requests using Alteryx. Collaborate with business users to create reports/dashboards using Tableau desktop. Create Prompts, Calculated Fields, customize Calculations, Conditions, and Filters for various analytical reports and dashboards. Utilize data blending, filters, actions, and Hierarchies feature in Tableau effectively. Create user groups and scheduled instances for reports in Tableau. Build and publish customized interactive reports on Tableau server or Alteryx. Work on Level of detail expressions and Table Calculations using Alteryx. Troubleshoot performance issues associated with Tableau reports. Possess 4 years of experience on Tableau Desktop versions 2019 and later. Have 4 years of hands-on experience in building interactive dashboard design and supporting business users to understand the data and guide them in the right approach to build analytical dashboards. Requirements Requirements: Technical bachelor’s degree Prior work experience in programming and data analysis

We are seeking a motivated Data Scientist with 2–4 years of experience to join our data team. You will work with large datasets, build predictive models, and deliver actionable insights that improve project performance and reduce risk. Key Responsibilities: Analyze large datasets to extract insights and trends Build ML models (prediction, classification, clustering) using Python Work with AEC domain teams to define data solutions Clean, transform, and validate data (SQL, Python) Automate ML workflows and reporting Create visualizations using Power BI, Tableau, or Plotly Document processes for reproducibility Qualifications: BE/BTech/MTech in Data Science, CS, Statistics, or related fields Strong Python & SQL skills Proficiency in libraries: scikit-learn, pandas, TensorFlow, etc. Knowledge of OOPs and ML concepts Experience with data visualization tools AEC industry knowledge (Revit, Navisworks, BIM 360) is a plus Strong communication & presentation skills Location: Andheri | Industry: AEC (Architecture, Engineering, Construction) Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,000,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Life insurance Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Fixed shift Monday to Friday Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): What is your current CTC? What is your expected CTC? What is your notice period? Location: Mumbai, Maharashtra (Required) Work Location: In person

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results. How You Will Contribute You will: Execute the business analytics agenda in conjunction with analytics team leaders Work with best-in-class external partners who leverage analytics tools and processes Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Using data analysis to make recommendations to analytic leaders Understanding in best-in-class analytics practices Knowledge of Indicators (KPI's) and scorecards Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It with Pride In This Role As a DaaS Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity. You will ensure efficient data storage and retrieval for optimal performance, and collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices. Role & Responsibilities: Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions. Manage Data Pipelines: Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes. Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity. Optimize Data Storage: Ensure efficient data storage and retrieval for optimal performance. Collaborate and Innovate: Work closely with data teams, product owners, and stay updated with the latest cloud technologies and best practices to remain current in the field. Technical Requirements: Programming: Python, PySpark, Go/Java Database: SQL, PL/SQL ETL & Integration: DBT, Databricks + DLT, AecorSoft, Talend, Informatica/Pentaho/Ab-Initio, Fivetran. Data Warehousing: SCD, Schema Types, Data Mart. Visualization: Databricks Notebook, PowerBI, Tableau, Looker. GCP Cloud Services: Big Query, GCS, Cloud Function, PubSub, Dataflow, DataProc, Dataplex. AWS Cloud Services: S3, Redshift, Lambda, Glue, CloudWatch, EMR, SNS, Kinesis. Supporting Technologies: Graph Database/Neo4j, Erwin, Collibra, Ataccama DQ, Kafka, Airflow. Experience with RGM.ai product would have an added advantage. Soft Skills: Problem-Solving: The ability to identify and solve complex data-related challenges. Communication: Effective communication skills to collaborate with Product Owners, analysts, and stakeholders. Analytical Thinking: The capacity to analyse data and draw meaningful insights. Attention to Detail: Meticulousness in data preparation and pipeline development. Adaptability: The ability to stay updated with emerging technologies and trends in the data engineering field. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science Show more Show less

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Manager- GBS Commercial Location: Bangalore Reporting to: Senior Manager - GBS Commercial Purpose of the role This role sits at the intersection of data science and revenue growth strategy, focused on developing advanced analytical solutions to optimize pricing, trade promotions, and product mix. The candidate will lead the end-to-end design, deployment, and automation of machine learning models and statistical frameworks that support commercial decision-making, predictive scenario planning, and real-time performance tracking. By leveraging internal and external data sources—including transactional, market, and customer-level data—this role will deliver insights into price elasticity, promotional lift, channel efficiency, and category dynamics. The goal is to drive measurable improvements in gross margin, ROI on trade spend, and volume growth through data-informed strategies. Key tasks & accountabilities Design and implement price elasticity models using linear regression, log-log models, and hierarchical Bayesian frameworks to understand consumer response to pricing changes across channels and segments. Build uplift models (e.g., Causal Forests, XGBoost for treatment effect) to evaluate promotional effectiveness and isolate true incremental sales vs. base volume. Develop demand forecasting models using ARIMA, SARIMAX, and Prophet, integrating external factors such as seasonality, promotions, and competitor activity. time-series clustering and k-means segmentation to group SKUs, customers, and geographies for targeted pricing and promotion strategies. Construct assortment optimization models using conjoint analysis, choice modeling, and market basket analysis to support category planning and shelf optimization. Use Monte Carlo simulations and what-if scenario modeling to assess revenue impact under varying pricing, promo, and mix conditions. Conduct hypothesis testing (t-tests, ANOVA, chi-square) to evaluate statistical significance of pricing and promotional changes. Create LTV (lifetime value) and customer churn models to prioritize trade investment decisions and drive customer retention strategies. Integrate Nielsen, IRI, and internal POS data to build unified datasets for modeling and advanced analytics in SQL, Python (pandas, statsmodels, scikit-learn), and Azure Databricks environments. Automate reporting processes and real-time dashboards for price pack architecture (PPA), promotion performance tracking, and margin simulation using advanced Excel and Python. Lead post-event analytics using pre/post experimental designs, including difference-in-differences (DiD) methods to evaluate business interventions. Collaborate with Revenue Management, Finance, and Sales leaders to convert insights into pricing corridors, discount policies, and promotional guardrails. Translate complex statistical outputs into clear, executive-ready insights with actionable recommendations for business impact. Continuously refine model performance through feature engineering, model validation, and hyperparameter tuning to ensure accuracy and scalability. Provide mentorship to junior analysts, enhancing their skills in modeling, statistics, and commercial storytelling. Maintain documentation of model assumptions, business rules, and statistical parameters to ensure transparency and reproducibility. Other Competencies Required Presentation Skills: Effectively presenting findings and insights to stakeholders and senior leadership to drive informed decision-making. Collaboration: Working closely with cross-functional teams, including marketing, sales, and product development, to implement insights-driven strategies. Continuous Improvement: Actively seeking opportunities to enhance reporting processes and insights generation to maintain relevance and impact in a dynamic market environment. Data Scope Management: Managing the scope of data analysis, ensuring it aligns with the business objectives and insights goals. Act as a steadfast advisor to leadership, offering expert guidance on harnessing data to drive business outcomes and optimize customer experience initiatives. Serve as a catalyst for change by advocating for data-driven decision-making and cultivating a culture of continuous improvement rooted in insights gleaned from analysis. Continuously evaluate and refine reporting processes to ensure the delivery of timely, relevant, and impactful insights to leadership stakeholders while fostering an environment of ownership, collaboration, and mentorship within the team. Technical Skills - Must Have Data Manipulation & Analysis: Advanced proficiency in SQL, Python (Pandas, NumPy), and Excel for structured data processing. Data Visualization: Expertise in Power BI and Tableau for building interactive dashboards and performance tracking tools. Modeling & Analytics: Hands-on experience with regression analysis, time series forecasting, and ML models using scikit-learn or XGBoost. Data Engineering Fundamentals: Knowledge of data pipelines, ETL processes, and integration of internal/external datasets for analytical readiness. Proficient in Power BI, Advanced MS Excel (Pivots, calculated fields, Conditional formatting, charts, dropdown lists, etc.), MS PowerPoint SQL & Python. Business Environment Work closely with Zone Revenue Management teams. Work in a fast-paced environment. Provide proactive communication to the stakeholders. This is an offshore role and requires comfort with working in a virtual environment. GCC is referred to as the offshore location. The role requires working in a collaborative manner with Zone/country business heads and GCC commercial teams. Summarize insights and recommendations to be presented back to the business. Continuously improve, automate, and optimize the process. Geographical Scope: Global 3. Qualifications, Experience, Skills Level Of Educational Attainment Required Bachelor or Post-Graduate in the field of Business & Marketing, Engineering/Solution, or other equivalent degree or equivalent work experience. Previous Work Experience 5-8 years of experience in the Retail/CPG domain. Extensive experience solving business problems using quantitative approaches. Comfort with extracting, manipulating, and analyzing complex, high volume, high dimensionality data from varying sources. And above all of this, an undying love for beer! We dream big to create future with more cheer. Show more Show less

Overview The Corporate Governance Data Analyst shall provide support to projects and initiatives which will ultimately create efficiencies in the Governance Operations team. Responsibilities • Searching and processing corporate governance information on MSCI’s CG universe using acceptable methods, techniques and sources • Developing subject matter expertise and taking ownership of corporate governance knowledge within the organization • Liaising and communicating effectively with other groups such ESG Research, Controversies and others to improve understanding of corporate governance and data collection methodologies • Conducting frequent research for the purpose of procuring, verifying and processing data by browsing through various financial, exchange and government regulator websites and materials as well as corporate governance databases. Qualifications Good judgment in assessing available information and accurate encoding of such data as per MSCI methodology • Excellent oral and written communication skills in English Strong analytical and problem-solving skills, with clear attention to detail Ability to prioritize and work under tight deadlines at least a Bachelor’s degree in Finance, Economics, Accounting, Company Law, or similar field of study, with at least three to four years' experience in a managerial role Candidates with prior experience with ESG, specifically corporate governance data research and analysis will be prioritized. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

The role is to perform a number of key functions that support and control the business in complying with a number regulatory requirements such as Markets in Financial Directive MiFID II. This role forms part of a team in Bangalore that supports Regulatory reporting across all asset classes: Rates, Credit, Commodities, Equities and Foreign Exchange. Key responsibilities include day to day exception management MIS Compilation and User Acceptance Testing (UAT). This role will also indulge in supporting in-house tech requirements in terms of building out reports, macros etc. Your key responsibilities Performing and/or managing various exception management functions across reporting for all asset classes, across multiple jurisdictions Ensure accurate, timely and completeness of reporting Working closely with our technology development teams to design system solutions, the aim to automate as much of the exceptions process as possible Liaising with internal and external teams to propose developments to the current architecture in order to ensure greater compliance with Regulatory requirements and drive improved STP processing of our reporting across all asset classes Perform root cause analysis or exceptions with investigation & appropriate escalation of any significant issues found through testing, rejection remediation or any other stream to senior management to ensure transparency exists in our controls Ability to build and maintain effective operational process and prioritise activities based on risk. Clear communication and escalation. Ability to recognize high risk situations and deal with them in a prompt manner. Documentation of BI deliverables. Support the design of data models, reports and visualizations to meet business needs Develop end-user reports and visualizations Your skills and experience 2-5 years work experience within an Ops role within financial services. Graduate in Science/Technology/Engg./Mathematics. Regulatory experience (MIFIR, EMIR, Dodd Frank, Bank of England etc.) is preferred Preferable experience in Middle Office/Back Office, Reference Data and excellent in Trade Life Cycle (At least 2 asset Classes Equities, Credits, Rates, Foreign Exchange, Commodities) Ability to work independently, as well as in a team environment Clear and concise communication and escalation. Ability to recognise high risk situations and deal with them in a prompt manner. Ability to identify and prioritize multiple tasks that have potential operational risk and p/l impact in an often high-pressure environment Experience in data analysis with intermediate/advanced Microsoft Office Suite skills including VBA. Experience in building reports and BI analysis with tools such as SAP Business Objects, Tableau, QlikView etc. Advanced SQL Experience is preferred.

Summary Position Summary CustomerStrategy&Design| PricingStrategy - Consultant THE TEAM The “Customer” offering portfolio integrates our most differentiated, globally recognized “customer” businesses. It focuses on owning the commercial agenda through growth strategy, enhanced user experiences, and engagement through the entire customer lifecycle. Customer Strategy and Design (CS&D) offering, as part of Customer portfolio,helpscompaniesaddresstheentirerangeoftopmanagementchallengesincluding pursuing new growth opportunities, customer engagement and service strategies, channel strategies, sales strategies, and pricing strategies. Deloitte’sPricingStrategy practiceisapartoftheCS&Dofferingandhelps clients address the spectrum of revenue management strategies, processes and to align the organization's capabilities with its business, market, and channel strategies. Starting with the drivers of customer value and layering on transaction-level analysis and insight, we help companies disaggregate their business for them to see its many parts, identify the economic value of each product and customer and devise ways to communicateand deliver that value to customers at prices that meet profit objectives and improves overall market value, design the sales and service capabilities to bring the commercial strategy to market, enable commercial agility by selecting the technology platforms required to support the commercial agenda. TheUSIPricing Strategy teamworksinclosecollaborationwithUSteamsto design and implement pricing strategies, processes and solutions that generate significant impact for its clients. This practice works on pricing, commercial transformation, and platform design across all sectors. The team includes recognized thought leaders and specialists in advanced data modeling with decades of collective experience base built from the delivery of multiple pricing and commercial transformation projects across a wide range of industry settings. WORKYOU’LL DO As part of the Pricing Strategy team, you shall be responsible for providingclientswithstrategicadvice,market-leadingpractices,andtools,alongwithproven and pragmatic solutions to make better, more profitable pricing decisions. As part of your role, you may be required to, but not limited to: Pricing and Commercial Strategy Development: Design and implement comprehensive pricing strategies based on market research, competitive analysis, and financial modeling. Work with product management / sales / Account/ Finance / Brand client teams to align pricing strategies with market positioning and business goals. Developappropriatepricingmodels,technologydesignandcapabilities to effectively capture true value of products and services. Assistclientswithbuildingvalue-basedpricingsolutionstoensuremaximum potential. Developsegmentedpricingandofferingstructuresbasedoncustomerwillingnessto pay and perceived value. Assistclientsinestablishingpromotionalobjectivesandatoolkittotrackandmeasure promotion effectiveness. Supportclientsindrivingfavorableperceptionbyidentifyingkeyvalueitems andestablisha merchandising strategy that optimizes store performance. Analyze current process & future requirements to design a win-win Commercial investment frameworks for client and their trade partners. Data Analysis and Financial Modeling: Analyze pricing data and market insights to identify trends and opportunities for optimization. Develop and maintain sophisticated financial models to forecast the impact of pricing decisions. Analyze the significant pricing drivers, conduct transactional level analysis, and evaluate various pricing/revenue optimization opportunities based on potential financial and business impact to support clients with the best feasible solution for long term sustained benefit realization. Pricing Process and capability assessment: Analyzeclient’scurrentCPQ(Configure-Price-Quote)processandcapabilitiestodevelop strategic recommendations for maximizing return on commercial productivity solutions. Implementpricingsolutionstoachieveprofitablegrowthandimprovebothtop-andbottom- line performance for clients. Facilitateadoptionofnewpricingtoolsandmethodologiestomaximizethebenefitsof pricing transformation program. Oversee the implementation of pricing strategies and tools. Monitor the effectiveness of pricing strategies and make recommendations for continuous improvement. Stakeholder Engagement: Collaborate with senior management and key stakeholders to gather inputs and align pricing strategies with overall business objectives. Present pricing analysis and strategic recommendations to stakeholders and executive leadership. Market Intelligence: Keep abreast of industry trends and regulatory changes that may affect pricing strategies. Conduct competitor analysis to benchmark pricing and promotional strategies. Assess current performance and pricing capabilities & policies; benchmark them against industryleadingpracticesandassistwith(re)designofthepricingprocessanddevelopinga target operation model. Understand and apply pricing research methodology including survey design, analysis, and application of findings. Market Access: Design and implement innovative pricing strategies for pharmaceuticals, and biotechnology products. Develop comprehensive market access plans that include pricing, reimbursement, and patient access strategies. Engage with key stakeholders including payers, healthcare providers, and patient advocacy groups to gather insights and support effective market access strategies. Ensure that all pricing strategies comply with local and international healthcare laws and regulations. Work closely with clinical, regulatory, and commercial teams to integrate clinical and economic evidence into market access strategies. You will drive commercial growth by supporting colleagues with practice development & eminenceandactingasakeytopiccontentleadforproposalsorotherbusinessdevelopment work in the Pricing space. YouwillalsocontributetowardsbuildingPricingexpertisewithinDeloitteandincreasefirm’s external profile by creating new solutions and methodologies, publishing ideas and thought leadership, and building repeatable toolkits for use by project teams. Requiredexperienceand Skills DeloitteislookingforanExperiencedPractitionerwithdeepcontentexpertiseinPricingstrategy and technology, strong industry experience along with good analytical skills to be part of the Pricing & Commercialization Strategy practice. Professionalexperience:Experienceinstrategyconsultingfromconsultingfirms,Big4firms,OR experience within pricing departmentin industry with a focus on pricing strategy, planning and technology. Industryexperience :across below listed industries is preferable. Retail,ConsumerGoods&IndustrialProducts Telecom,Media& Technology Life Sciences & Healthcare Energy & Industrial Good understanding of how businesses price the products and services to different customers in a B2B or B2C or B2B2C environment. Resource Pricing or BFSI Industry experience is not required. Pricingskills:inoneormoreofthefollowingareas -pricing/revenuemanagement,promotions management, pricing strategy, price setting& execution, transactional pricing analysis, pricing transformation, quantitative methodologies, pricing technology, CPQ process and technology transformation. Core Consulting skills: Managing the pace and delivery of projects includingcoordination with key project stakeholders, reporting key findings, and contributing to the wider business unit through business development, knowledge sharing and other activities. Analytical skills: A strong technical foundation in building analytical solutions and experience with complex data sets, performing quantitative analysis (descriptive and prescriptive) and research(primaryandsecondary);synthesizingandpresentinginsightsandrecommendations from data. Toolsexperience:Workingproficiencyinanyofthedataanalyticsand visualization tools preferred – Tableau, PowerBI, R, SQL, VBA etc. Required Qualifications MBAfromapremierschoolinIndiaor abroad 2 - 3 years for Consultants Preferred Qualification Exposuretoworkinginnon-IndiaGeographies(preferablyUS)and/orinteractingwithglobal stakeholders. Howyou’ll Grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want allour people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities— including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people experience learning same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of- the-art,world-classlearningCenterintheHyderabadofficesisanextensionoftheDUinWestlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits AtDeloitte,weknowthatgreatpeoplemakeagreatorganization.Wevalueourpeople andoffer employeesabroad range of benefits. Learn moreaboutwhatworking at Deloitte can mean for you. DELOITTE’S CULTURE Ourpositiveandsupportivecultureencouragesourpeople todotheirbesteveryday.Wecelebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer comprehensive well- being programs and are continuously looking for new ways to maintain a culture that is inclusive, invitesauthenticity,leveragesourdiversity,andwhere ourpeopleexceland leadhappylives. Learn more about Life at Deloitte. CORPORATE CITIZENSHIP Deloitteisledbyapurpose:tomakeanimpactthatmatters.Thispurposedefineswho weareand extends to the relationships that we have with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill- basedvolunteerism,andleadershiptohelpdrivepositivesocialimpact inour communities. Learn more about Deloitte’s impact on the world. #CSADLinkedInBanner Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300259 Show more Show less

The ideal candidate will be responsible for designing, developing, and deploying scalable ETL processes using Informatica PowerCenter to support our data warehousing and analytics initiatives. You will collaborate with business and technical stakeholders to ensure high data quality, availability, and performance. Key Responsibilities: Design, develop, and maintain ETL workflows and mappings using Informatica PowerCenter or Informatica Intelligent Cloud Services (IICS). Extract, transform, and load data from various source systems (e.g., SQL Server, Oracle, flat files, cloud APIs) into data warehouses or operational data stores. Optimize ETL performance, conduct tuning, and ensure error handling and logging. Collaborate with data architects and analysts to understand data requirements and deliver high-quality data solutions. Work with QA teams to support data validation and testing efforts. Support data integration, migration, and transformation initiatives. Document ETL processes, data flows, and job schedules. Monitor daily ETL jobs and resolve production issues in a timely manner. Requirements Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent work experience). 3+ years of experience with Informatica PowerCenter or Informatica IICS. Strong SQL skills and experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL). Solid understanding of data warehousing concepts and dimensional modeling. Experience in performance tuning and troubleshooting ETL processes. Hands-on experience with job scheduling tools (e.g., Autosys, Control-M, Tidal). Familiarity with version control systems and DevOps practices. Preferred Qualifications: Experience with cloud data platforms (e.g., Snowflake, AWS Redshift, Azure Synapse). Exposure to data governance and data quality tools. Knowledge of scripting languages (e.g., Shell, Python). Experience working in Agile/Scrum environments. Familiarity with BI tools (e.g., Tableau, Power BI) is a plus. Benefits This position comes with competitive compensation and benefits package: Competitive salary and performance-based bonuses Comprehensive benefits package Home Office model Career development and training opportunities Flexible work arrangements (remote and/or office-based) Dynamic and inclusive work culture within a globally known group Private Health Insurance Pension Plan Paid Time Off Training & Development *Note: Benefits differ based on employee level Show more Show less

Company Qualcomm India Private Limited Job Area Information Technology Group, Information Technology Group > Systems Analysis General Summary We are seeking a Systems Analyst,Senior to join our growing organization with specialized skills in IBM Planning Analytics/TM1 and functional understanding of Finance budgeting and forecasting. This role involves advanced development, troubleshooting, and implementation of TM1 solutions to meet complex business requirements. The person will be part of Finance Planning and reporting team and will primarily work closely with his/her manager and will be helping in delivering TM1 planning and budgeting roadmap for the global stakeholders. Key Responsibilities Able to design and develop IBM Planning Analytics(TM1) solutions as per standards. Able to write logical, complex, concise, efficient, and well-documented code for both TM1 rules and Turbo Integrator processes. Good to have knowledge of Python and TM1py libraries. Able to write business requirement specifications, define level of efforts for Projects/Enhancements and should design and coordinate system tests to ensure solutions meet business requirements SQL skills to be able to work with source data and understand source data structures. Good understanding of the SQL and ability to write complex queries. Understanding cloud technologies especially AWS and Databricks will be an added advantage. Experience in client reporting and dashboard tools like Tableau, PA Web,PAFE. Understanding of ETL processes and data manipulation Working independently with little supervision Taking responsibility for own work and making decisions that are moderate in impact; errors may have financial impact or effect on projects, operations, or customer relationships; errors may require involvement beyond immediate work group to correct. Should provide ongoing system support, including troubleshooting and resolving issues to ensure optimal system performance and reliability Using verbal and written communication skills to convey information that may be complex to others who may have limited knowledge of the subject in question Using deductive and inductive problem solving; multiple approaches may be taken/necessary to solve the problem; often information is missing or incomplete; intermediate data analysis/interpretation skills may be required. Exercising substantial creativity to innovate new processes, procedures, or work products within guidelines or to achieve established objectives. Minimum Qualifications 3+ years of IT-relevant work experience with a Bachelor's degree. OR 5+ years of IT-relevant work experience without a Bachelor’s degree. Qualifications The ideal candidate will have 8-10 years of experience in designing, modeling, and developing enterprise performance management (EPM) applications using IBM Planning Analytics (TM1). Able to design and develop IBM Planning Analytics(TM1) solutions as per standards. Able to write logical, complex, concise, efficient, and well-documented code for both TM1 rules and Turbo Integrator processes. Lead the design, modeling, and development of TM1 applications, including TI scripting, MDX, rules, feeders, and performance tuning. Should able to provide technical expertise in identifying, evaluating, and developing systems and procedures that are efficient, cost effective and meet user requirements. Plans and executes unit, integration and acceptance testing Must be a good team player who can work seamlessly with Global teams and Data teams Excellent communication and collaboration skills to work with business stakeholders Having functional understanding of Finance budgeting and forecasting Understanding cloud technologies especially AWS and Databricks will be an added advantage Experience in Agile methodologies and JIRA user stories Able to design and develop solutions using python as per standards we are seeking a Systems Analyst,Senior to join our growing organization with specialized skills in IBM Planning Analytics/TM1 and functional understanding of Finance budgeting and forecasting. The person will be part of Finance Planning and reporting te Required bachelor’s or master’s degree in information science, computer science, business, or equivalent work experience. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3076094 Show more Show less

Role Overview: The MIS Head will be responsible for controlling, driving and monitoring the company’s Management Information Systems (MIS) to ensure accurate, real-time business intelligence for decision-making. This role requires expertise in all MIS tools, team leadership and the ability to drive performance of MIS team. The candidate should have the latest knowledge in data analytics, reporting automation and business intelligence to enhance operational efficiency and profitability. Key Responsibilities: Develop and execute a comprehensive MIS strategy aligned with business goals. Ensure seamless data collection, processing, validation and reporting for informed decision-making. Lead, control, and drive a team and ensuring high performance. Set KPIs and performance metrics for the MIS team and ensure targets are met. Conduct regular training and upskilling sessions to keep the team updated with the latest MIS trends. Leverage Power BI, Tableau, SQL, Python, and AI-driven analytics for data-driven decision-making. Develop automated dashboards, reports and forecasting models to provide real-time business insights. Automate data flow between different business functions for increased efficiency. Provide Daily/weekly/monthly business performance reports to senior management. Analyze market trends, sales forecasts, and operational bottlenecks to suggest improvements. Qualifications & Experience: Bachelor’s/Master’s degree in MIS, IT, Data Analytics, Business Administration, Finance, or related fields. Certifications in Power BI, SQL, Tableau, Python, AI-Driven Analytics, or ERP systems are preferred. 3+ years of experience in MIS, Data Analytics, or Business Intelligence. Proven track record of leading MIS teams and driving high performance. Expertise in handling large-scale data and implementing automation. Excellent analytical and problem-solving skills. About Company : Alps Distribution is the only authorized distributor of Apple products in Kerala and Tamil Nadu, headquartered in Cochin with branches in Trivandrum, Thrissur, Calicut, Chennai, Coimbatore, Madurai, and Trichy. Alps Distribution holds the number one position for Apple products distribution in India. Aldous Glare Tech & Energy (AGTE) is a subsidiary of Alps. Aldous Glare is India’s leading distributor for smartphones (Vivo), TCL - Android TVs, Google TVs, smart ACs, smart washing machines and Solar Products. For 30 years now, Aldous Glare Tech & Energy have stood the test of time and established ourselves as a brand synonymous with trust and quality. Technology and its advancements are ubiquitous and we function with the prime goal of increasing accessibility, awareness of the latest tech gadgets and appliances. We creates opportunities for its channel partners through aggressive market development and continuous improvements through agility. Company Website : www.aldousglare.com & www.alpsd.com Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Health insurance Leave encashment Provident Fund Schedule: Day shift Fixed shift Morning shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Kochi, Kerala: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred) Application Question(s): What is the maximum number of Team size handled? Which are your area of expertise with regard to MIS Tools? Work Location: In person

Job Title: Data Analytics Faculty Location: Manjeri Job Type: Full-Time Job Description: We are hiring a qualified and enthusiastic Data Analytics Faculty for our institute in Manjeri. The ideal candidate should have strong knowledge in data analysis tools and a passion for teaching. Key Responsibilities: Teach data analytics tools and techniques (Excel, SQL, Python, Power BI, etc.) Prepare lesson plans, assignments, and practical sessions Conduct hands-on training using real-world datasets Guide and support students throughout their learning Stay updated with the latest tools and industry practices Requirements: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field Good knowledge of tools like Excel, SQL, Python, Power BI/Tableau Prior teaching/training experience preferred Excellent communication and presentation skills Passion for teaching and mentoring students Job Types: Full-time, Permanent Pay: Up to ₹22,000.00 per month Schedule: Day shift Supplemental Pay: Overtime pay Yearly bonus Experience: Teaching: 1 year (Required) Location: Manjeri, Kerala (Required) Work Location: In person

Summary: We are seeking a talented and experienced Manager of Digital Marketing to join our team. The ideal candidate will have a minimum of 3 years of experience in digital marketing and a proven track record of driving successful marketing campaigns across various digital platforms. The Manager of Digital Marketing will be responsible for developing and implementing digital marketing strategies to increase brand awareness, drive traffic to our website, and generate leads. Roles and Responsibilities: - Develop and implement digital marketing strategies to drive brand awareness and generate leads - Manage all digital marketing campaigns, including email, social media, and display advertising - Analyze campaign performance and make data-driven decisions to optimize marketing efforts - Collaborate with internal teams to create engaging content for digital platforms - Monitor and report on key performance metrics to track the success of marketing campaigns - Stay up-to-date on industry trends and best practices in digital marketing Qualification: - Should have managed monthly budget of Rs.1 Crore - Working experience of working on New Acquisition and Remarketing campaigns - Working Proficiency in Excel, and be able to analyze data visualizations on data studio or Tableau. - 2-4 years of Experience in Digital Marketing. In-depth knowledge of Facebook Ads, Google Ads & App Campaigns. - Proven analytical and quantitative skills including a strong understanding of online marketing metrics. - Excellent communication, collaboration, and people management skills. Driven, self-motivated, organized, and excited about what we can achieve together. - Good knowledge of Appsflyer, Excel and Tableau duction:

Role & responsibilities : Lead and implement advanced analytical processes through data/text mining, model development, and prediction to enable informed business decisions. Apply sound analytical expertise to examine structured and unstructured data from multiple disparate sources to provide insights and recommend high-quality solutions to leadership across levels. Plan initiatives from concept to execution with minimal supervision and communicate results to a broad range of audiences. Develops a superior understanding of Customer Experience touchpoints through internal and external sources to creatively solve business problems and lead the team from concept to execution of projects. Typically uses data, statistical and quantitative analysis, modeling, and fact-based management to drive decision making. Provides regular expert consultative advice to senior leadership. Effectively shares best practices and fosters knowledge sharing across teams. Provides cross-team and cross-org consultation and supports communities of practice excellence Preferred candidate profile 6+ years of relevant experience in analytics/consulting/informatics and statistics Key Skills - Data and Business Analytics, Advanced Statistics and Predictive Modelling, Stakeholder Management, Project Management Experience in customer segmentation analytics, campaign analytics, etc. is a plus. Exposure to predictive analytics, ML/ AI techniques is an added advantage. Tools - SQL, Python, Databricks, Data Visualization, PowerBI Good to have Azure Analysis services, DS/ML experience

As industries race to embrace AI, traditional database solutions fall short of rising demands for versatility, performance, and affordability. Couchbase is leading the way with Capella, the developer data platform for critical applications in our AI world. By uniting transactional, analytical, mobile, and AI workloads into a seamless, fully managed solution, Couchbase empowers developers and enterprises to build and scale applications with unmatched flexibility, performance, and cost-efficiency—from cloud to edge. Trusted by over 30% of the Fortune 100, Couchbase is unlocking innovation, accelerating AI transformation, and redefining customer experiences. Come join our mission. We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate has a passion for turning data into actionable insights, enabling strategic decision-making, and driving business performance. With a strong background in data analytics, visualization tools, and data storytelling, you will play a critical role in bridging the gap between raw data and business outcomes. Key Responsibilities Data Analysis: Gather, clean, and analyze data to uncover trends, insights, and opportunities that support business objectives. Reporting & Visualization: Develop and maintain dashboards, reports, and visualizations using tools like Looker, Tableau, or Power BI to provide stakeholders with real-time insights. Business Insights: Collaborate with cross-functional teams to understand business requirements and deliver data-driven recommendations. Data Integrity: Ensure the accuracy and reliability of data by implementing and adhering to data governance practices. KPI Tracking: Monitor key performance indicators (KPIs) and metrics, identifying anomalies and areas for improvement. Ad Hoc Analysis: Perform ad hoc analyses to support strategic initiatives and decision-making processes. Process Improvement: Identify inefficiencies in data workflows and recommend solutions to streamline processes. Qualifications Education: Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field. Experience: 3+ years of experience in a data analysis role. Strong experience with data visualization tools such as Looker, Tableau, or Power BI. Proficiency in SQL for querying and data manipulation. Experience working with cloud data platforms like Snowflake, Google BigQuery, or Databricks is a plus. Familiarity with Python or R for statistical analysis and data manipulation is a bonus. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills to present data insights effectively to technical and non-technical audiences. Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Why Couchbase? Benefits Modern customer experiences need a flexible cloud database platform that can power applications spanning from cloud to edge and everything in between. Couchbase’s mission is to simplify how developers and architects develop, deploy and consume modern applications wherever they are. We have reimagined the database with our fast, flexible and affordable cloud database platform Capella, allowing organizations to quickly build applications that deliver premium experiences to their customers– all with best-in-class price performance. More than 30% of the Fortune 100 trust Couchbase to power their modern applications and build innovative new ones. See our recent awards to learn why Couchbase is a great place to work.We are honored to be a part of the Best Places to Work Award for the Bay Area and the UK. Couchbase offers a total rewards approach to benefits that recognizes the value you create here, so that you in turn may best serve yourself and your family. Some benefits include: Generous Time Off Program - Flexibility to care for you and your family Wellness Benefits - A variety of world class medical plans to choose from, along with dental, vision, life insurance, and employee assistance programs* Financial Planning - RSU equity program*, ESPP program*, Retirement program* and Business Travel Insurance Career Growth - Be valued, Create value approach Fun Perks - An ergonomic and comfortable in-office / WFH setup. Food & Snacks for in-office employees. And much more! Note: some programs are not applicable to all countries. Please discuss with a Couchbase recruiter to learn more. Learn More About Couchbase News and Press Releases Couchbase Capella Couchbase Blog Investors Disclaimer Couchbase is committed to being an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Join an impact initiative group and experience the amazing feeling of Couchbase can-do culture. By using this website and submitting your information, you acknowledge our Candidate Privacy Notice and understand your personal information may be processed in accordance with our Candidate Privacy Notice following guidelines in your country of application. Show more Show less

We're Hiring: BI Analyst | Bengaluru | Hybrid Work Model Are you passionate about transforming data into meaningful business insights? We’re partnering with a global healthcare consulting firm known for its expertise in delivering data-driven solutions to top pharmaceutical clients across the globe. We’re on the lookout for a Business Intelligence Analyst with 5–6 years of experience , especially someone who enjoys digging into complex datasets and creating impactful dashboards that drive strategic decisions. Role Highlights: Analyze large, complex datasets to uncover trends and insights Develop interactive dashboards using Power BI, Tableau, and Excel Collaborate with cross-functional teams to translate business needs into analytical solutions Design scalable data models and reporting frameworks Track key performance indicators (KPIs) and support data-driven decisions Apply your knowledge of the pharmaceutical industry to real-world challenges What We're Looking For: 4+ years in BI/Analytics roles (Power BI/Tableau experience is a must) Strong skills in SQL , data visualization, and dashboard creation Experience with pharma datasets like IQVIA, Veeva, Salesforce (a big plus) Analytical mindset and attention to detail Strong communication skills to explain insights to both technical and non-technical teams Bonus: Experience with Python or data automation tools Location: Bengaluru (Hybrid – 2–3 days onsite) Interested or know someone perfect for this role? DM me or apply directly! Let’s connect great talent with meaningful impact. #BIAnalyst #PowerBI #Tableau #PharmaAnalytics #BangaloreJobs #HybridWork #Hiring Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Summary The Director of MADTechAI is responsible for the comprehensive lifecycle management and delivery of our B2B SaaS platform and products. This position demands a strategic leader with extensive experience in product management, capable of driving product innovation and ensuring seamless execution from ideation to post-release management. You will recruit, train, lead, and closely manage cross-functional team leaders including product management, product marketing, engineering, BI/AI, and product support to deliver a platform that meets market demands and exceeds customer expectations. Key Responsibilities Product Strategy and Roadmap: Define and communicate the product vision, strategy, and roadmap in alignment with MADTechAI ‘s overall goals. Conduct market research, user feedback, and competitive analysis to identify market opportunities and threats. Product Development: Lead the end-to-end product development process, from ideation, design, development, and testing, to product launch. Collaborate with engineering teams to ensure product features are delivered on time and to specification. Oversee the creation of detailed product requirements and specifications. Go-To-Market Execution: Develop and execute comprehensive go-to-market strategies, including product positioning, messaging, and pricing. Partner with marketing and sales teams to drive product adoption, market penetration, and revenue growth. Customer-Centric Approach: Engage with external/internal customers and stakeholders to gather insights, understand their needs, and integrate feedback into the product development process. Ensure exceptional customer experience and satisfaction through proactive support and continuous improvement. Performance and Optimization: Monitor product performance metrics and KPIs to assess market impact and user satisfaction. Utilize data-driven insights to drive product iterations and enhancements. Leadership and Team Management: Build, mentor, and lead a high-performing product management team. Foster a culture of innovation, collaboration, and excellence within the product team and across the organization. Technical Expertise SaaS Development: Deep understanding of SaaS architecture, deployment, and lifecycle management Cloud Platforms: Proficiency with cloud platform AWS required. Google Cloud and Azure preferred AI and Machine Learning: Familiarity with AI/ML concepts, tools, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Data Analytics: Strong knowledge of data analytics, data warehousing, and business intelligence tools (e.g., SQL, Tableau, PowerBI, Sisense) APIs and Integrations: Experience with RESTful APIs, microservices, and third-party integrations Agile Methodologies: Expertise in Agile development methodologies and tools (e.g., Scrum, Kanban, JIRA) Product Management Tools: Proficiency with product management and road mapping tools (e.g., Pragmatic, Aha! Product Plan, Amplitude, Pendo, etc.) Product Marketing: Knowledge of, if not experience with, Product Led Growth (PLG) and Partner/Channel go-to-market Qualifications Extensive AdTech, MarTech, and Data and Analytics experience, 12+ years min. BE in Computer Science/Information Science or a related field; MBA or advanced technical degree preferred 10+ years of product management/development experience, including at least 5 years in a leadership role Proven track record of successfully building and launching B2B SaaS products Market knowledge of the US, UK, Australia, and MENA Region Deep understanding of marketing, advertising, and AI technologies Strong strategic thinking, analytical, and problem-solving skills Excellent leadership, English language communication, and interpersonal abilities Ability to thrive in a fast-paced, dynamic, and collaborative environment Willing to work in Mysuru or Bengaluru offices Show more Show less

KPMG Global Services (KGS) India is a strategic global delivery organization that works with more than 50 KPMG firms to provide a progressive, scalable and customized approach to business requirements. The KGS India journey has been one of consistent growth, with a current employee count of c.21,000, operating from eight locations in India — Bengaluru, Gurugram, Hyderabad, Mumbai, Kochi, Noida, Pune and Kolkata. — and providing a range of Advisory and Tax-related services to KPMG firms around the world. Roles and responsibilities Participate in healthcare transformation and core healthcare operations transformation engagements for clients from global markets – client chargeable projects. Process consulting for healthcare clients including ‘As-Is’ State Assessment, Business Process Mapping, Data Analysis, ‘To-Be’ Operating Model and Future Roadmap design. Market Research and Benchmarking for assigned set of accounts. Create ‘point of view’ on various emerging healthcare topics, track healthcare regulation and develop new solution offerings for healthcare clients. Interact with clients to gather requirements for projects, deliver to requirements as applicable. Analyze healthcare data using tools like Alteryx and Power BI to draw meaningful insights. Support scalability of analytics solutions for large datasets using Microsoft Azure Specialize in one of the following solution areas – Revenue Cycle Management, Healthcare IT, Patient Access Transformation Education / professional qualifications Bachelor's or advanced degree in a field related to healthcare. Master’s degree in management preferred. Prior Experience: The candidate must have 4-8 years of relevant experience in a similar role, If possible in professional services firm / consulting / Big 4 / Healthcare Industry. Experience & Background Experience with healthcare functional areas – process assessment, financial improvement, operational improvement, digital assessment, market research, benchmarking, workforce optimization, revenue cycle management, EMR/EHR, Patient Estimation, Target Operating Model (TOM) design, Care Models, Case/Disease Management, Cost Optimization, Regulatory Compliance (provider), clinical care optimization, healthcare IT, and development of insight driven solutions Helpful to have worked on pre-hospitalization and post hospitalization processes, understanding of patient workflow in a care set up, understanding of physician-patient, physician-pharma or payer provider interactions. Proficiency in tools such as PowerPoint, Aris or Visio, Excel (data modeling skills – intermediate to advance excel skills with macros/VBA knowledge) Good knowledge on data visualization tools e.g., Power BI, Tableau, Microsoft Azure, Alteryx etc. Some understanding of data models is preferred. Prior Business analysis or consulting experience strongly preferred. Support with proposal development and finalization of market leading bids Good communication – listening, speaking, and writing. Good interpersonal skills. Should be able to work as part of a team. Exposure to healthcare is required . Show more Show less

Job: Project Scientist III (Data Analyst) Apply here Project title : NDMC Phase II: Developing Models to Estimate and Project Disease Burden to Inform Control and/or Elimination Strategies for Priority Diseases in India About the project: IIT Bombay is the anchor organization of the National Disease Modelling Consortium (NDMC). The consortium partners with various institutions in the country for disease modelling work. The objective of the project is to address policy and programmatic questions through India-specific disease models, to improve disease control and intervention strategies in the country. More information about the consortium can be found at www.ndmconsortium.com Essential Qualifications & Experience: PhD in data sciences with minimum 2 years relevant experience / MSc data sciences with 5 years experience OR PhD in Computer Engineering or any other engineering / MTech Data science, Computer science, Statistics or related field with minimum 3 years relevant experience/ BTech/BE/BDes or equivalent engineering degree with minimum 5 years of experience Desirable experience At least 8-10 years of experience in data science, with a proven track record in managing and supervising data science teams. Strong proficiency in R and Python for data analysis and modeling, along with extensive SQL skills for database management. Comprehensive understanding of Azure/cloud-based server and database development, with demonstrated experience in implementing cloud solutions Exceptional analytical abilities and familiarity with statistical techniques relevant to data interpretation. Experience with data visualization tools, such as Tableau and Power BI. Strong leadership, critical thinking, and problem-solving skills, with the ability to work collaboratively across teams. Job Profile: Lead and mentor a team of data scientists, facilitating collaboration, knowledge sharing, and professional growth to achieve project goals. Oversee the design and implementation of efficient database schemas and structures, ensuring optimal performance and scalability while maintaining data integrity and security. Guide the development, maintenance, and optimization of databases that support data storage and retrieval processes, including executing complex SQL queries for data manipulation. Drive the development of advanced data analysis and modeling, utilizing programming languages such as R and Python. Manage ETL (Extract, Transform, Load) processes to ensure data is prepared for analysis and reporting efficiently. Hands on experience working with data systems and platforms such as Azure Data Factory, Azure Storage, Data Lake, Azure Synapse, Databricks or similar Solid understanding of Cloud based data management, data analytics principles and tools Promote the use of data visualization tools (such as Tableau and Power BI) to communicate effectively and enhance understanding across the organization. Clearly communicate complex methodologies, findings, and analytical results to multidisciplinary teams and external partners. Contribute to the preparation of comprehensive research reports and presentations. Pay Details: Consolidated salary 78,000+HRA (if applicable) p.m. Show more Show less

Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have Continuous learning Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact As a Junior Capabilities and Insights Analyst, you will support our consultants by delivering high-quality insights and analyses to address risk management challenges for clients across banking, insurance, and industrial sectors. You will leverage proprietary and third-party databases to collect, analyze, and synthesize critical information, support the development and maintenance of McKinsey’s proprietary databases, and collaborate with client service teams to identify optimal solutions. You will help McKinsey client service teams determine the most appropriate solution to the issues they are working on, effectively balancing quality, availability, timeliness, and cost limitations; engage in internal problem solving to further develop and improve our offerings. You will be based in our Gurgaon office as part of the Risk and Resilience Team, which supports consultants globally with focused information, subject-specific analyses, and innovative solutions to risk-related challenges. Your Qualifications and Skills 2025 bachelor’s degree (finance/economics/quantitative or related major) with above average academic performance Basic knowledge and interest in banking and insurance sector and risk related topics Strong problem solving and analytical skills Ability to multitask and work well both in individual and team setting Excellent written and verbal communication skills in English Strong analytics, supplemented by experience in handling multiple data sources, conducting preliminary analysis and generating reports Well versed in MS office (Excel, VBA, Word, PowerPoint & Access) Knowledge of Python/Power BI/Tableau or any other data visualization tool will be an added advantage Professional attitude and service orientation Willing to work in a highly demanding and results-oriented team environment Preferably based out of Delhi/NCR Show more Show less

Position Title: Data Scientist Location: Gurugram Experience: 3–4 Years Job Type: Full-Time Company: Sequifi | www.sequifi.com About the Role We are hiring a Data Scientist with 3–4 years of experience who has a strong foundation in data analysis, machine learning, and business problem-solving. This role is ideal for someone who is hands-on with modern tools and techniques, eager to explore new technologies, and enjoys working in a collaborative, fast-paced environment. Key Responsibilities Analyze complex datasets to uncover patterns, trends, and actionable insights. Build, validate, and deploy machine learning models for predictive analytics, classification, and clustering. Design and maintain efficient data pipelines and ETL processes. Create clear, interactive dashboards and reports using tools such as Power BI, Tableau, or Python visualization libraries. Collaborate with product managers, developers, and business analysts to understand requirements and deliver data-driven solutions. Conduct A/B testing and statistical analysis to support product decisions and optimizations. Continuously improve model performance based on feedback and business objectives. Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 3–4 years of experience in data science or a similar role. Strong programming skills in Python (Pandas, NumPy, Scikit-learn), SQL, and familiarity with PHP or Node.js. Hands-on experience with data visualization tools such as Power BI or Tableau. Good understanding of machine learning algorithms, data preprocessing, and feature engineering. Experience working with structured and unstructured data, including NoSQL databases like MongoDB. Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus. Soft Skills Strong analytical and problem-solving abilities. Effective communication and data storytelling skills. Ability to work independently as well as collaboratively in cross-functional teams. A mindset geared toward innovation, learning, and adaptability. Why Join Us Work on meaningful and challenging problems in a tech-focused environment. Join a young, supportive, and fast-moving team. Gain exposure to a combination of data science, product, and engineering. Opportunity to learn and grow continuously in a culture of innovation. If you’re passionate about using data to drive business impact, we’d love to hear from you. Apply now and grow with us at Sequifi. Show more Show less

Job Description #KGS KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and customized approach to business requirements The KGS journey has been one of consistent growth, with a current employee count of nearly 10,000 operating from four locations in India — Bengaluru, Gurugram, Kochi, Pune and Mumbai providing a range of Advisory and Tax-related services to member firms within the KPMG network. As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn, and recognized as one of the top three employers in the region for women, as well as for policies on Inclusion & Diversity by ASSOCHAM (The Associated Chambers of Commerce & Industry of India). Team Overview The position in discussion is with Integration & Separation (I&S), Technology in M&A within the Deal Advisory group at KPMG Global Services (KGS), which is KPMG’s global delivery center and an integral part of the firm’s strategy to enhance innovation, build scalability, and improve profitability globally. KGS DA&S has been providing solutions to KPMG member firms globally. By leveraging insights and applying best practices, the team helps create customized approaches to M&A transactions. The team’s capabilities include Corporate Finance, Transaction Services, Strategy, Business Modelling, Accounting Advisory Services, Deal Advisory Research and Benchmarking. KPMG’s Integration & Separation team (ISA) advises clients on executing the operational integrations of acquisitions or joint ventures, and separations of businesses, in the case of divestitures or sale. I&S does this by taking an enterprise‑wide view of M&A deals, across all the functions, to deliver value to our clients. In addition, team is also involved in pre-deal Due Diligence on specific areas of business. Responsibilities We are recruiting for Consultant in the HR M&A team. Roles & responsibilities Working with onshore colleagues to lead and provide support on a wide variety of M&A projects including global programs from a people, workforce analytics and organization effectiveness perspective Support and sometimes lead work streams on HR I&S projects, supporting client work stream leads to fulfil their work stream objectives Work with project teams to analyze workforce data by applying key analytical tools to provide key insights and suggest solutions to solve complex client challenges Demonstrate technical and analytical competence in a deal context for key HR aspects: HR Operations, Labor Relations & Compliance, Organization & Talent Management and Employee Experience and Day 1 comms Proactively co-ordinate with onshore engagement teams to procure new engagements / engagement work, obtain clarifications, communicate progress and post-delivery de-brief and feedback Seek ownership for independent engagement and tasks and on larger engagements oversee the work of more junior team members Assist in the development and presentation of final project deliverables Provide coaching and development opportunities for junior team members, and act as a mentor to colleagues within the team Work with cross-functional teams in implementing services, lead team interviews and hold workshops as necessary When you are not working on a project, you will provide support to senior colleagues in preparation of proposal materials Qualifications This role is for you if you have the below Educational Qualifications MBA / Bachelor’s degree in a related field from an accredited college/university preferably with major in Human resources Work Experience 3-5 years of total work experience Mandatory Technical & Functional Skills Experience of working on M&A projects including an understanding of HR’s involvement in the deal process is desirable Experience of working with Powered BI, Alteryx, Tableau Relevant professional experience, including previous work with a Big 4, global management consultancy firm, or performed an in-house role in which you gained exposure to a large-scale project(s) Experience working within an HR function including workforce analytics, organization effectiveness, people strategy, organizational design, HR operating model, HR Process efficiency & policy, change management, employee engagement, talent management (Not all specialisms are required and a deep understanding in one area may be sufficient) Experience of handling multiple stakeholders including ownership of deliverables and good commercial acumen High quality outputs on Microsoft Excel and PowerPoint. Knowledge or experience on Visio, OrgVue would also be beneficial Preferred Technical & Functional Skills Analysis, problem solving and Report writing A basic understanding of project management methodologies and outputs Good client relationship skills Show more Show less