4803 Power Bi Jobs - Page 39

Role Overview: We are looking for a highly skilled Azure Data Engineer or Power BI Analyst with 3 to 5 years of experience in building end-to-end data solutions on the Microsoft Azure platform. The ideal candidate should be proficient in data ingestion, transformation, modeling, and visualization using tools such as Azure Data Factory, Azure Databricks, SQL, Power BI, and Fabric. Role & responsibilities Design, develop, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks Perform data ingestion from various on-prem/cloud sources to Azure Data Lake / Synapse / SQL Implement transformation logic using PySpark , SQL , and Data Frames Create Power BI dashboards and reports using DAX and advanced visualization techniques Develop and manage tabular models , semantic layers , and data schemas (Star/Snowflake) Optimize Power BI datasets and performance tuning (e.g., dataset refresh time, PLT) Collaborate with stakeholders to gather reporting requirements and deliver insights Ensure data accuracy, security, and compliance across all stages Leverage Azure DevOps for version control and CI/CD pipelines Participate in Agile ceremonies (scrum, sprint reviews, demos) Preferred candidate profile 3+ years of experience with Azure Data Factory, Databricks, Data Lake Proficient in Power BI , DAX , SQL , and Python Experience in building and optimizing tabular models and semantic layers Hands-on with Azure Synapse , Fabric , and DevOps Solid understanding of data modeling, ETL, data pipelines, and business logic implementation Strong communication skills and ability to work in Agile teams

Key Responsibilities: Design and automate workflows using Power Automate and IcM. Build dashboards and reports in Power BI. Query and analyze data using Kusto Query Language in Azure Monitor/Log Analytics. Manage incidents and operational workflows via Geneva/Jarvis. Develop and deploy solutions in the Azure environment. Use Azure DevOps for pipeline creation, environment management, and project tracking. Preferred Skills: Strong knowledge of Power Apps, Microsoft Azure infrastructure and services. Experience with automation and monitoring tools within Microsoft. Familiarity with DevOps methodologies and tools. Excellent troubleshooting and problem-solving abilities. Mandatory Skills - Power BI,KQL,Devops,Azure

Role & responsibilities Provide functional and technical support for Microsoft Dynamics 365 Business Central. Collaborate with internal teams and external vendors to resolve issues and improve system performance. Assist in the implementation and post-implementation support of D365 Business Central. Troubleshoot and resolve user issues related to D365 modules (Finance, Sales, Purchase, Inventory, etc.). Strong understanding of D365 BC modules and workflows. Experience with report generation tools (e.g., Power BI, Jet Reports). Ability to work independently and manage multiple priorities. Preferred candidate profile: Minimum 5 years of experience in Microsoft Dynamics 365 Business Central support and implementation. Microsoft Certified: Dynamics 365 Business Central Functional Consultant Associate. Experience in integrating D365 BC with third-party applications. Knowledge of SQL and AL programming languages is an advantage.

About the Company Maximus is a global leader in delivering transformative technology-enabled solutions and people services. As we continue expanding our India footprint, we seek a strategic and execution-focused recruitment leader to help us attract top talent, drive hiring innovation, and build a world-class talent engine. Position Summary As the Senior Manager – Recruitment, you will lead strategic and high-volume hiring across technology and corporate verticals. You will drive the full recruitment lifecycle, champion digital tools, manage a high-performing team, and provide business-aligned advisory rooted in market intelligence and data. Roles and Responsibilities Key Responsibilities Strategic Talent Acquisition Lead end-to-end recruitment across India tech and business units, aligning closely with workforce plans. Drive sourcing and hiring strategy for niche, volume, and leadership roles. Partner with business and HR leadership on workforce trends, succession planning, and internal mobility. People & Team Leadership Manage a high-performance team of recruiters, sourcers, and interview coordinators (8–10 team members). Develop capabilities through coaching, training, and talent reviews. Ensure performance tracking via structured KPIs and continuous feedback loops. Stakeholder & Advisory Partnership Serve as a trusted advisor to business leaders and hiring managers on recruiting strategy. Present hiring progress, candidate pipelines, and challenges using data-rich visuals and presentations. Influence senior stakeholders using talent insights and market benchmarks. Technology, Innovation & Automation Drive adoption of talent tech tools including ATS, CRM, AI-sourcing platforms, and scheduling automation. Identify process automation and workflow optimization opportunities. Collaborate with HR tech teams to enhance system capabilities and user experience. Data Analytics & Compensation Trends Create and maintain recruitment dashboards using Excel, Power BI, or ATS analytics. Provide market salary data, competitor hiring benchmarks, and offer-to-join insights to hiring teams. Support total rewards by sharing candidate and industry compensation intelligence. Employer Brand & Experience Champion employer branding initiatives through hiring campaigns, candidate events, and content partnerships. Oversee candidate experience metrics and implement improvement strategies. Promote diversity, equity, and inclusion across all recruitment activities. Qualifications Bachelor’s or Master’s degree in HR, Business, or related discipline 12–15 years of talent acquisition experience, including 3–5 years in a leadership role Demonstrated success in large-scale hiring in IT/product/services environments Expertise in ATS (Workday, Avature, Greenhouse, or similar), sourcing platforms, and Excel-based reporting Strong business acumen, presentation, and data storytelling skills Familiarity with compensation trends, total rewards, and benchmarking tools (e.g., Mercer, Aon, LinkedIn Salary) Preferred Skills Experience in hiring for global capability centers or matrixed organizations Strong knowledge of India’s talent landscape and competitive hiring practices Passion for digital innovation in HR and AI-led hiring tools Executive presence with ability to influence senior stakeholders Work Environment Hybrid work model with flexible remote and onsite collaboration High-performance, inclusive, and feedback-driven culture Opportunity to contribute to building a world-class recruitment function for a global brand

Understand business objectives and translate them into data and machine learning requirements Identify what data is needed to support specific AI use cases and assess its availability, quality and structure Explore and profile data from various sources to evaluate its suitability and uncover biases, gaps or integration challenges Visualising data and analytical results using tools such as Power BI, with the ability to create insightful dashboards for both technical and non-technical audiences. Collaborate with data owners and engineers to locate, access and prepare data for experimentation and model development Work closely with product teams to define success metrics and ensure data can support reliable measurement and evaluation Support the design of data flows and contribute to ingestion and preparation strategies that align with modelling needs Translate insights from data exploration and model experimentation into clear actionable recommendations Contribute to best practices related to data validation, model documentation and governance of analytical workflows Collaborate with ML engineers and AI architects to assess modelling options and design evaluation strategies Stay up to date with developments in AI and machine learning and actively share insights with the wider team Qualification Your starting point for constant growth From the moment you join Ramboll, we will support your personal and professional development so that you grow with the company. For this role, we believe your starting point is: A master’s degree in data science, computer science, statistics, applied mathematics or a related field Strong experience in applied data science or machine learning, with an emphasis on data readiness and problem framing Proficiency in Python and experience with common data science libraries (e.g., pandas, scikit-learn, TensorFlow or PyTorch) Demonstrated ability to explore, profile and assess complex data sets to determine their value for ML solutions Experience working with business stakeholders to translate objectives into data needs and analytic plans Understanding of how data flows from source systems into models, and experience partnering with data engineers to build effective pipelines Excellent communication skills, with the ability to explain and visualize data-related concepts to non-technical audiences Fluency in English Additional Information We offer: Competitive salary and benefits package. Opportunities for professional growth and development. Flexible work environment and work-life balance. A multi-cultural work environment Personal qualities that will help you succeed in this role include: Ability to collect and analyse data, establish facts and make recommendations in written and verbal form. Ability to explain and translate complex, technical IT requirements into material understandable for non-IT staff. Ability to liaise with all parts of an organisation, including IT and business stakeholders. Open-minded and helpful and, finally, a good portion of self-awareness and humour.

Expanding renewables Transforming conventional power Strengthening electrical grids Driving industrial decarbonization Securing the supply chain and necessary minerals Job Requirements: A Snapshot of Your Day Your key responsibility is to project manage finance digitalization solutions to secure sustainable quality, efficiency, and performance together with the entire finance organization. By supporting our teams implementing state-of-the-art technology, you will lead projects that build user-centric solutions to enable our joint digital transformation journey. How Youll Make an Impact Manage end-to-end digitalization projects within the finance organization, from concept to delivery. Facilitate Agile ceremonies, including daily stand-ups, sprint planning, and retrospectives, to promote team collaboration and continuous improvement. Assist project teams in effectively using project management tools (e.g., Jira). Monitor engagement, accuracy, and timely updates including comments, statuses, and documentation. Identify and proactively remove obstacles to ensure smooth workflow and timely delivery of milestones. Support change management initiatives, equipping teams to adapt to new processes and digital solutions. Build strong relationships with business stakeholders, understanding their needs and translating them into sustainable digital solutions. What You Bring Expert knowledge and practical experience in both Agile and traditional project management methodologies. Strong understanding of finance processes (e.g., record to report, purchase to pay, order to cash). Proficiency in digital tools such as Alteryx, SAP Analytics Cloud, Power BI, Tableau, Snowflake, Jira, Confluence, or similar solutions. Excellent communication abilities focusing on collaboration and empathy. Proficient in English (spoken and written). Relevant formal certification (e.g., SCRUM, PMP) required. Bachelors degree or equivalent professional experience

Job Title: Data Analyst Company: Bold Care Location : Navi Mumbai Position Overview: We are seeking a motivated Data Analyst to join our dynamic team. The ideal candidate should have strong analytical skills, proficiency in Python and SQL, and a passion for utilizing data to drive business decisions. Experience with Google Cloud Platform (GCP) is a plus. Responsibilities: Perform data analysis to support various business functions and initiatives. Develop and maintain data pipelines using Python and SQL. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Create reports and dashboards to visualize data trends and key metrics. Assist in data cleaning, transformation, and validation tasks. Contribute to the improvement of data processes and workflows. Requirements: Bachelors degree in Computer Science, Statistics, Mathematics, Economics, or related field. 0-2 years of professional experience as a Data Analyst or in a similar role. Proficiency in Python and SQL for data analysis and manipulation. Familiarity with cloud platforms such as Google Cloud (GCP) is preferred. Strong analytical thinking and problem-solving skills. Excellent communication and interpersonal skills.

Position - Data Analyst/Senior Data Analyst About Simplilearn Simplilearn is the world's #1 online bootcamp providing digital skills training to help individuals acquire the skills they need to thrive in the digital economy. We provide rigorous online training in disciplines such as Cyber Security, Cloud Computing, Project Management, Digital Marketing, and Data Science, among others. In other words, we specialize in areas where technologies and best practices are changing rapidly, and the demand for qualified candidates significantly exceeds supply. Designed and continually updated by 2000+ renowned industry and academic experts, we offer a choice of individual courses, comprehensive certification programs, and partnerships with some world-renowned universities, helping millions of professionals with work-ready skills they need to excel in their career, and thousands of organizations with their corporate training and employee upskilling needs. Our practical and applied approach has resulted in 85 percent of learners getting promotions or new jobs. Learn by doing over 1,000 live classes each month, real-world projects, and more. Experience the new way of learning at Simplilearn. Our analytics team is composed of talented and driven problem-solvers. We never stop learning, we teach one another, and we take immense pride in our work. We are looking for someone to join our top-notch Analytics team. What Youll Do Define key metrics for the various domains including business, marketing, website and post purchase (Engagement, Completion, Experience etc) that would help the FSA Team streamline their operations and drive improvements. Understand the strategic roadmap of business stakeholders and support them in achieving the targets. Collaborate with FSA team, Data Engineering team to support strategic growth initiatives Develop, maintain, and optimize Tableau dashboards for business stakeholders Monitor key metrics in both B2B and B2C. Understand the nuances of each domain and create ADS that cater to the business requirements. Complete ownership of the assigned tasks, from gathering requirements to building robust and scalable solutions, driving consumption, and generating business insights. Wed Like You to Have: Bachelor’s degree from a tier I institute with strong problem-solving skills. 2-4 years of experience in analytics at a fast-paced product organization. Should be proficient in working on relational databases with SQL. Extensive hand-on experience of data visualization to create insightful dashboards using Tableau. Should have worked on aggregating data from multiple data sources and data wrangling using R/Python. Excellent written and verbal communication skills Behavioral attributes: - We are looking for hustlers in the Analytics team who know how to get the job done. - If you have the ability to hunt for simplification in complexity, we would love to talk to you. - If you have an entrepreneurial spirit and you know how to take complete ownership of your work, we would be interested in you.

• 8+ years of BI/Visualization experience using DOMO BI + Power BI/Tableau dashboard development • At least 2 years of DOMO BI experience. • Prefer someone who may have worked on a Migration project from Power BI to DOMO BI.

Job title: Product Manager/Product Owner We are looking for an ambitious Product Manager/Product Owner to take on high levels of responsibility across a variety of functions to support sales and business development by managing key scholarship products. Experience- 5 to 7 years of business and technical stakeholder management and business analyst experience or related analytical experience Responsibilities- Prepare BRDs for any developments required basis feedback from cross-functional team including Sales, Academic, Finance, Operations and Legal & coordinate with the product/tech/support team for associated development and implementation Proactively recommend new features and improvements in scholarship products to optimize and enhance the sales processes and new features adoption Co-ordinate end to end product and project management to ensure seamless and timely delivery for products Build sales dashboards, performance metric reports & visual models and ensure their timely & error-free delivery to help improve existing sales and account management team processes and conversion metrics Provide consulting and coaching to the frontline sales team on key Product Features Liaise with the sales team & leaders to understand adoption of their product and challenges being faced in tracking the sales users productivity Assist with any additional projects that enable further productivity and efficiency on the sales and business development teams Profile/Qualifications/Experience- Engineering degree and MBA (preferred) Minimum 5 years of relevant experience in a reputed B2C organization Certifications like CBAP, PMI-ACP, CSPO, and PMP are good to have Agile experience is a plus Proficiency in creating visually appealing, complex dashboards and generating relevant reports Experience in planning and conducting training for sales teams and leaders across India Ability to manage multiple stakeholders and communicate effectively Prior experience managing and delivering products in fast-paced environments with complex hierarchies Team handling experience is good to have Extremely high ownership; must be a self-starter who thrives in constantly changing, fast-growth environments Excellent problem-solving skills and strong analytical thinking, with a willingness to deep dive into issues and think out of the box to find solutions Adept at building collaborative and trusting relationships with key internal leaders and stakeholders Proficient in Microsoft Office tools (Word, PowerPoint, Excel, Teams, SharePoint) Strong SQL skills for querying databases and generating reports Working knowledge of Python to run and adapt automation scripts (e.g., for sending scheduled reports) Hands-on experience with AWS QuickSight for dashboarding and performance visualization Ability to access and query AWS-hosted databases (e.g., Athena, Redshift, RDS) for manual checks and ad hoc data analysis

Design, develop, and maintain scalable data processing applications using Spark and PySpark API Development 5+ years of experience in at least one of the following: Java, Spark, scala, Python API Development expertise. Write efficient, reusable, and well-documented code. Design and implement data pipelines using tools like Spark and PySpark. Strong analytical and problem-solving abilities to address technical challenges. Perform code reviews and provide constructive feedback to improve code quality. Design and implement data processing tasks that integrate with SQL databases. Proficiency in data modeling, data lake, lakehouse, and data warehousing concepts. Experience with cloud platforms like AWS

Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Effectively managing and mitigating Model Risks; Supporting the design of Model Risk metrics; Implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies and practices. This role spans all aspects of validation applicable to the portfolio of estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across all relevant business units and risk types. Your key responsibilities The core responsibility will be to validate Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important and incumbent to have an understanding of different aspects of banks business within different business segments of Corporate Banking, Private Banking, Investment banking. However, the role might necessitate model validator to be flexible in moving around different risk areas within US model validation team, outside of core area of responsibility. Key tasks include, but not limited to model performance testing, scenario analysis, sensitivity analysis, and conceptual assessment of model assumptions/limitations/weaknesses. Developing challenger models including independent data collection and by performing complex analysis and testing. Follow regulatory guidelines and the Banks policies and procedures for model risk management, especially CCAR-specific guidelines. Bringing efficiency by automating processes and uplifting frameworks. Your skills and experience 2-3 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. The candidate should possess knowledge and experience in working with B/PPNR models across various lines of business, including Corporate Banking, Private Banking, Investment Banking, and Treasury Functions. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Experience and knowledge of Statistical techniques, strong analytical skills with experience in relevant software packages, e.g., R and Python Candidate needs to have experience of report drafting reports and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. Good presentation & communication skills Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred. CFA / FRM certification will be a plus for the role. Candidates having experience / strong knowledge in Business Intelligence tools like Power BI, Tableau, Automation through MS-Access / VBA, supporting framework development, designing presentations will be a plus for the role.

Responsibilities: * Develop frontend & backend solutions using AWS Cloud, Python DevOps * Implement AI techniques with Power BI reporting tools * Conduct training sessions on automation testing, DevOps practices

Key Responsibilities: Design and implement data solutions using MS Fabric, including data pipelines, data warehouses, and data lakes Lead and mentor a team of data engineers, providing technical guidance and oversight Collaborate with stakeholders to understand data requirements and deliver data-driven solutions Develop and maintain large-scale data systems, ensuring data quality, integrity, and security Troubleshoot data pipeline issues and optimize data workflows for performance and scalability Stay up-to-date with MS Fabric features and best practices, applying knowledge to improve data solutions Requirements: 8+ years of experience in data engineering, with expertise in MS Fabric, Azure Data Factory, or similar technologies Strong programming skills in languages like Python, SQL, or C# Experience with data modeling, data warehousing, and data governance Excellent problem-solving skills, with ability to troubleshoot complex data pipeline issues Strong communication and leadership skills, with experience leading teams

- Prior experience in SAP - Financial analysis - Operational analysis (plant-related activities) - Preparing management presentations (PowerPoint) - Developing dashboards and automating systems

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.

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

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

Data Scientist (Cloud Management, SQL, Building cloud data pipelines, Python, Power BI, GCP) Job Summary UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders. Responsibilities: Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools. Understand and apply appropriate methods for cleaning and transforming data Work across multiple stake holders to develop, maintain and improve models in production Take the initiative to create and execute analyses in a proactive manner Deliver complex analytical and visualizations to broader audiences including upper management and executives Deliver analytics and insights to support strategic decision making Understand the application of AI/ML when appropriate to solve complex business problems Qualifications Expertise in R, SQL, Python. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Expertise with statistical techniques, machine learning or operations research and their application in business applications. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale. Proficient in Azure, Google Cloud environment Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications Experience with pricing methodologies and revenue management Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI Creating and implementing NLP/LLM projects Experience utilizing and applying neurals networks and other AI methodologies Familiarity with Data architecture and engineering

Description The Sales Performance Analyst, functions as an integral part of New Product RTM Operations with the core focus on business analytics, forecasting, outlook preparation, managing KPI definitions, data governance & optimization. A foundational pillar of this role would be to support & instrument pilots & test initiatives end-to-end including developing performance tracking models & identifying gap resolutions. We are looking for energetic, engaging individuals who appreciate working with complex data in a fast-paced environment. Reporting to the Manager, this position is responsible for interacting on a regular basis with the Sales, WW Sales Operations teams, Scrum, Cloud Tech, CTI, Finance, Campaign Marking, & Business Unit. Primary Responsibilities Opportunity sizing and propensity modeling to define target base for focus BU initiatives Data Governance with targets/capacity modeling, formatting, gap analysis, utilizing multiple data sources to reconcile and align opportunity sizing, targets, and performance tracking Gathering, mapping, formatting data across multiple sources leveraging all our systems- Hadoop, SFDC, Gainsight, PBI, Tableau, SharePoint, Excel Files & Adobe bespoke tools Outlook management and forecast modeling for new product sub-motions Deep Dive analysis on product attainment outside of main product motions PBI and Tableau Dashboard creation and maintenance, hygiene, and optimization to support all New Product Initiatives and motions Cross-functional collaboration with all business product teams and ecosystems to execute data related workflows end-to-end to product initiative go-lives and post-live support Define and see through short-term and long-term automation for all performance tracking initiatives Ensuring the correct rep is aligned to orders based on the territory in place, account assignment Attrition analysis, pipeline reporting & management, SFDC cases Driving data extraction utilizing SQL server, Hive and SFDC and executing lead upload processes Reporting on attainment for compensation purposes. SPIFF effectiveness and analysis; payout calculations. Ad hoc reporting requests Augment data quality assurance processes by putting in place required QA activities to manage sanity, correctness, quality of data to ensure trust among end consumers/stakeholders and accurate payouts to reps Document processes and operating procedures Manage & own end customers, stakeholder, deliverable, and timelines Perform UAT/PAT for system enhancements Skills : 3-5 years of relevant work experience, Not more then 5 years experience. Bachelors Degree Saas Based Company Experience working in sales operations & reporting Excellent excel skills, MS-access, Macros, PBI, Tableau Experience using tools as Excel , SFDC, Gainsight, Bi, Tableau, Hadoop Experience with SQL server & Hive query languages and SFDC data language Highly organized, and pays attention to details Ability to work under minimal supervision, take the initiative whilst being a strong team player Strong Analytical , project management skills with an emphasis on business acumen Global business and language experience highly desired Flexibility to work some PST hours preferred Looking for Immediate joiners or 15 Days NP.

Job Title : Power Platform Developer Location: Gurgaon ODC Job Description: The Power Platform Developer will play a pivotal role in designing, developing, and optimizing solutions using Microsoft Power Platform, including Power Apps, Power Automate, and Power BI . The role involves working closely with business stakeholders to understand requirements, automate processes, and create applications that enhance operational efficiency. The ideal candidate should have hands-on experience with Power Apps (Canvas & Model-driven), Power Automate workflows, and Power BI dashboards. Key Responsibilities: Develop Power Apps solutions (Canvas & Model-driven) to meet business needs. Design and implement Power Automate workflows for process automation and system integration. Create Power BI dashboards and reports for data visualization and insights. Integrate Power Platform solutions with Dataverse, SharePoint, SQL Server, and external APIs . Collaborate with business users to gather requirements and translate them into functional applications. Ensure solutions follow Microsoft best practices, security, and governance standards . Troubleshoot issues, optimize application performance, and provide support for deployed solutions. Stay updated with new Power Platform features and suggest enhancements. Requirements: 4+ years of experience working with Power Apps, Power Automate, and Power BI . Hands-on experience with Canvas and Model-driven Apps Strong understanding of Dataverse, SharePoint, SQL Server, and REST APIs . Ability to create complex Power Automate workflows for automation and system integration. Basic knowledge of Power BI development, DAX, and report creation . Understanding of Microsoft security and governance policies related to Power Platform. Strong analytical and problem-solving skills. Good communication skills to work effectively with stakeholders. Microsoft Power Platform certifications (PL-100, PL-200, or PL-400) are a plus. What We Offer: Opportunity to work on exciting Power Platform projects for global clients. Competitive salary and benefits package, tailored to experience and qualifications. Opportunities for professional growth and development in a supportive and collaborative environment. A culture that values diversity, creativity, and a commitment to excellence. How to Apply: Interested candidates should submit their resume and a cover letter detailing their experience with Power Platform to hr@panamoure.com We look forward to adding a skilled Power Platform Developer to our team!

Role and Candidate Expectations: Candidate must have 2+years of experience as MIS SAP Develop and implement SAP scripts and automation solutions using tools like SAP GUI Scripting SAP VBA and SAP BDC Analyze business requirements and identify opportunities for automation and process improvement Design develop and test SAP scripts and automation solutions to meet business needs Collaborate with cross-functional teams to identify and prioritize automation projects Troubleshoot and resolve issues with SAP scripts and automation solutions Develop and maintain technical documentation for SAP scripts and automation solutions Provide training and support to end-users on SAP scripts and automation solutions Experience with SAP ERP systems (e.g. SAP ECC SAP S/4HANA) Strong analytical and problem-solving skills Excellent communication and collaboration skills Ability to work in a fast-paced environment and meet deadlines Must be flexible to work in shifts Contact Person : - mohanapriyas Contact Number : 9840114902

What youll be doing The candidate will participate in the assignments of the Group validating Models used in the for valuation and risk measurement of Financial Portfolios, Assets and Instruments as well as the formulation of Input and Output information from the Global Energy markets.She or he is based in London, Houston, Singapore or Bangalore. The analyst bridges seven areas: Assessment that a Model is fit for purpose Analysis of Model algorithms applying different validation techniques which include using challenger models internally built or procured externally Review of process underlying a Model including inputs and outputs flows Determination of adjustments to Model required to mitigate weaknesses Maintenance and extension of the Model Validation policy Inventory of Models used within the Risk Management Function (RMF) and without as requested Collection of code and documentation for successive Model versions The different professionals involved in these activities along with the Group manager will intervene on a Model at 3 levels: The Scientist Senior Analyst will investigate the conceptual underpinnings of the Model and audit the embedded algorithms with a view to identifying limitations to the model and remediations The Engineer Analyst will consider the cases where the Model is applied and formulate test scripts to verify that inputs & parameters are used appropriately to generate outputs that are properly understood The Technician Junior Analyst will compile the information related to the Model and execute test scripts Engagement of the Model Validation specialists with external Stakeholders will be very significant starting with other groups in the RMF such as Quantitative Analysis, Portfolio Valuation, Market Risk Management Advisory, Market Risk Operations, Risk Management Transformation and Credit Risk Management Advisory. They will also interface ongoing with Commercial Traders, Originators & Structurers, Quantitative Analysts & Research Analysts as well as Back-Office and Information Technology Departments. The Model Validation specialists also participate in educational efforts with benefits across RMF and the firm. The skills required for the tasks include: The application of advanced financial mathematics to formulate algorithms used for valuation and risk measurement of exotic derivatives and assets such as Natural Gas & Oil Storage, LNG & Freight Cargos, Transport, Transmission and Power Generation as well as calculate with various methodologies portfolio metrics like Market Value at Risk (Var), Credit Potential Future Exposure (PFE) and Economic Capital Industry experience in structuring and balancing these deals and portfolios while selecting the appropriate inputs & parameters for modeling Abilities in multiple software tools to analyze the code underlying a Model and build challenger Models by transforming algorithms quickly in working applications Data analysis techniques allowing to follow data extraction, transformation and interfacing from numerous corporate systems into a Model application Communication methods to explain the Model implications to Senior Management as well as Quantitative Specialists who built and are using the Model What you bring A degree in business administration, finance, economics, mathematics, engineering or information systems at the bachelors or above level for the Technician specialist and masters to PhD for the Engineer and Scientist General knowledge of energy markets, natural gas, power, emissions, oil crude & products and LNG Preferably with substantial experience in risk management in the Energy industry CQF, ERP, FRM and other related certifications are welcome Excellent critical thinking and problem-solving skills Strong analytical skills with attention to detailed data analysis and complex model configuration Ability to multi-task and accommodate organic changes in requirements for deliverables Ability to work as a team member and with all members of the organization. Ability to communicate complex technical ideas, regardless of the technical capacity of the audience Proficiency with Microsoft Office Suite, SharePoint and Teams Knowledge of SQL e.g. TOAD or GOLDEN, VBA independently or within Excel, C# and .Net Experience with one or several analytical languages like Python, R, MatLab or SAS Usage of either QlikSense, QlikView, Spotfire, Power BI or Alteryx Navigation in Energy Trading and Risk Management systems (ETRMs) OpenLink ENDUR, SunGard Nucleus, FIS Aligne, CubeLogic and using or connecting analytical libraries Lacima, Numerix, Allegro/FEA & Open Source Risk (OSR) Application processing in the Microsoft Azur Cloud and AWS Progress as a person as we work on the energy transition together. Continuously grow the transferable skills you need to get ahead. Work at the forefront of technology, trends, and practices. Collaborate with experienced colleagues with unique expertise. Achieve your balance in a values-led culture that encourages you to be the best version of yourself. Benefit from flexible working hours, and the possibility of remote/mobile working. Perform at your best with a competitive starting salary and annual performance related salary increase our pay and benefits packages are considered to be among the best in the world. Take advantage of paid parental leave, including for non-birthing parents. Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply. Grow as you progress through diverse career opportunities in national and international teams. Gain access to a wide range of training and development programs.

Experienced in -React.JS, Plotly DASH, HTML5, AngularJS, PowerBI, Grafana. Should have worked on frontend technologies Responsible for creating and executing user interface component using React.js concepts & workflows such as Redux, Flux & Webpack

Hiring for USA based Multinational Company (MNC) We are seeking a highly skilled and experienced Senior Power BI Developer to join our analytics team. The ideal candidate will have hands-on experience in designing, developing, and deploying Business Intelligence (BI) solutions using Power BI. This role involves working closely with business stakeholders to understand reporting requirements, transforming data into actionable insights, and leading data visualization initiatives to drive data-informed decision-making. Design, develop, and maintain advanced Power BI dashboards and reports that meet business requirements. Perform data modeling, DAX calculations, and Power Query transformations to build efficient data sets. Collaborate with data engineers and analysts to integrate Power BI with various data sources (SQL Server, Azure, Excel, SharePoint, etc.). Work with business stakeholders to gather requirements, create wireframes, and ensure accurate and insightful visualizations. Optimize performance of BI solutions through effective data model design and report tuning. Implement row-level security and manage user access in Power BI Service. Automate data refresh schedules and troubleshoot data issues. Maintain documentation for all BI processes, data flows, and reports. Stay updated on new Power BI features and industry trends to continually enhance reporting capabilities. Strong proficiency in Power BI Desktop, Power BI Service, and Power Query (M Language). Expertise in DAX (Data Analysis Expressions) for custom calculations and measures. Solid understanding of data warehousing concepts and data modeling (Star/Snowflake schemas). Experience with SQL Server, Azure Data Services (Azure SQL, Azure Data Lake, Synapse), or other cloud platforms. Ability to write complex SQL queries for data extraction and transformation. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information. Excellent communication and interpersonal skills. Familiarity with Agile methodologies and project management tools (e.g., JIRA, Azure DevOps) is a plus. Experience integrating Power BI with Power Automate, Power Apps, or other Microsoft 365 services is a plus.