535 Advanced Analytics Jobs - Page 19

Catchpoint Professional Services organization is one that works with some of Catchpoint s largest customers to help them improve and maintain their web and mobile performance with expert advice and recommendations. The Scripting Specialist will serve as the backbone for setting up monitors in customer environments. They will focus on maintaining the effectiveness of scripting strategies and will have opportunities to engage directly with customers at a core level. What will success look like in this position? The scripting specialist will collaborate closely with customers to develop monitors tailored to their infrastructure needs. This role involves a continuous learning curve throughout ones career. We have examples of individuals who began in scripting roles and have since transitioned into product management. Responsibilities Proactively work with clients, providing expert analysis and insights Creating test scenarios for clients using playwright based front end scripting Work as an extension of your clients team, assisting in ad hoc analysis or testing Contribute actively to knowledge base, blog, and other product-related documentation Ability and means to travel as needed. Research, analyze, and resolve customer issues and questions Collaborate with engineering in identifying product defects, designing solutions, and testing. Required Skills & Qualifications Experience in automation testing (QA) using Playwright Experience in front end development/testing using JavaScript Experience in using REST and SOAP APIs Excellent conceptualization and communication skills. Great listening skills and customer focused Ability to work independently and as a team member Good problem-solving capabilities Overview #LI-REMOTE

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the worlds most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. Responsibilities Facilitate the implementation and support for SAP MM modules including basic to detailed functions of data Hands on Powerapp development skills In collaboration with subject matter experts and data stewards, defines and implements data strategy, policies, controls, and programs to ensure the enterprise data is accurate, complete, secure, and reliable. Conducts data cleaning to rid the system of old, unused data, or duplicate data for better management and quicker access. Take ownership for global data management, governance, and data quality of master data requirements with other functional data owners to ensure functional master data integrity across the operation of financial systems is consistent and meets stated business rules and requirements. Map business requirements, processes and objectives; develops necessary product modifications to satisfy business needs. Identify gaps, issues and work around solutions. Connect with internal stake holders for troubleshooting: investigate, analyze, and solve business problems. Requirements Minimum of 2 to 4 years of experience on maintaining master data in SAP MM module. Bachelors degree in core engineering subjects or equivalent combination of education. Must be able to work globally and communicate effectively with stakeholders. Flexible to work in rotational shift. Thirst for knowledge and eagerness to learn Business and grow skills in new areas.

About Job: We are hiring a talented Systrack Deployment professional to join our team. If you re excited to be part of a winning team, Zensar is a great place to grow your career. You will be glad you made the right choice to join us. 4-7 yrs. In implementing Systrack and similarUser experience & Automation platforms (Nexthink, Atternity) Plan, Design & implement Systrack platform for Automation use cases and User experience monitoring Rollout Systrack on user devices and be able to monitor the device performance and explain the dashboards, User experience measurements to customer on a regular basis Integrate ITSM platform with Systrack Work with Customer s team to ensure prerequisites access are available before the implementation Work with Security teams to solve all the clarifications of the Systrack platform for getting approval on the implementation of the platform Analyze and understand customer s environment for scope of automation Analyze new use cases and Implement new automation in Systrack Should be an expert in PowerShell Review and edit requirements, specifications, and processes related to the monitoring of devices Translate large & complex data into effective automation requirements Create new dashboards in Systrack and modify the parameters About Job: We are hiring a talented Systrack Deployment professional to join our team. If you re excited to be part of a winning team, Zensar is a great place to grow your career. You will be glad you made the right choice to join us. 4-7 yrs. In implementing Systrack and similarUser experience & Automation platforms (Nexthink, Atternity) Plan, Design & implement Systrack platform for Automation use cases and User experience monitoring Rollout Systrack on user devices and be able to monitor the device performance and explain the dashboards, User experience measurements to customer on a regular basis Integrate ITSM platform with Systrack Work with Customer s team to ensure prerequisites access are available before the implementation Work with Security teams to solve all the clarifications of the Systrack platform for getting approval on the implementation of the platform Analyze and understand customer s environment for scope of automation Analyze new use cases and Implement new automation in Systrack Should be an expert in PowerShell Review and edit requirements, specifications, and processes related to the monitoring of devices Translate large & complex data into effective automation requirements Create new dashboards in Systrack and modify the parameters

Summary -Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its useful lifecycle. High agility to be able to work across various business domains. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. Independently manage budget, ensuring appropriate staffing and coordinating projects within the area. If managing a team: empowers the team and provides guidance and coaching, with initial guidance from more senior leaders supervised. This is usually their first people manager experience. About the role : Provide analytics support to Novartis internal customers (CPOs Regional marketing and sales teams) on various projects. Support and facilitate data enabled decision making internal customers using data analysis and data science techniques/methods on internal and external(3rd party) data to solve business problems Team NBS CONEXTS-ICS business support in building capabilities by involving in various initiatives like knowledge sharing, on-boarding and training support, support in all business related tasks/activities, building process documentation and knowledge repositories Your responsibilities include but are not limited to Delivering projects and leading internal customer expectations across multi-channel marketing analytics, Portfolio Analytics, Targeting and Segmentation, Predictive Analytics, Resource Allocation and Optimization Build and deliver customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc) and drive excellent customer satisfaction. Deliver advanced analytical and statistical solutions for various projects related to promotion evaluation, multi-channel marketing (MCM) campaign design, return on investment (value) analysis, resource allocation, segmentation, targeting, and other ad-hoc business questions Support exploratory research to identify new areas of application of advanced analytics/data science in providing improved decision-making support. Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services. Automation of project codes and development of front-end delivery solutions. Support in creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs within the function. Support in developing and maintaining knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc Support team leaders in recruitment and on-boarding of new associates within the organization. Participate in various knowledge sharing sessions that enables growth and improves quality of NBS CONEXTS deliverables across the function. Align with all internal functional operating procedures like time tracking, critical metric tracking and reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal/IT/HR requirements. What you'll bring to the role: Deriving impactful strategies by defining clear category objectives, working with analytical data, business partners and market expertise. Aligning strategies to measurable target and clearly conveying them to the organization. Should have strong quantitative and systems background. Strong analytical thinking with problem solving approach and good ability to understand new data sources in short timeframe and embed them into standard analyses. Good understanding of pharmaceutical domain and data would be ideal. Strong partner leadership skills and ability to work with multiple partners. Should have worked in an international/Global company with exposure to working in cross-cultural environment. Strong and proactive business results-focus, and proven track record to provide insights that increase efficiency. Hands on to Classification (CART, RF, SVM, GBM, etc) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting o Good to have: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization Hands on to Project Management, Solid understanding of MS-Office (MS Excel, VBA, PowerPoint, Access), Learning agility, Pharmaceutical industry domain/datasets knowledge - desirable Desirable Requirements: University/Advanced degree in Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, is preferable. Min 5+ years of hands-on experience in analytics in marketing analytics and experience in pharma industry is preferable. Statistical Modeling/Machine Learning techniques like Regression (esp, GLM, non-linear, etc). experience in any one of R or Python and exposure to SAS and SQL. Familiarity with Alteryx will be a bonus. Visualization tools - Qlikview, Qliksense, Tableau.

This is your chance to change the path of your career and guide multiple teams to success at one of the worlds leading financial institutions. As a Manager of Software Engineering at JPMorgan Chase within the AI/ML Data Platform team, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team s work adheres to compliance standards, business requirements, and tactical best practices. Job responsibilities Oversee and guide a team of software engineers dedicated to developing tools for observability, data pipelines, financial operations, and orchestration. Collaborate with customers, product managers, and Site Reliability Engineering (SRE) teams to create systems and synchronize observability goals throughout the organization. Offer architectural guidance and set standards for observability implementations, emphasizing cost efficiency and compliance. Work with cross-functional teams to enhance business impact and ensure customer satisfaction through outstanding software delivery. Assess and adopt modern data storage solutions, such as data warehouses and data lakes, to facilitate advanced analytics and dashboard capabilities. Implement best practices for data transformation, real-time processing, and modern data storage solutions to support advanced analytics. Review and integrate new observability tools and technologies, keeping abreast of industry best practices. Required qualifications, capabilities, and skills Formal training or certification on Software engineering concepts and 5+ years applied experience Experience in managing people and leading technical teams. Hands-on experience in backend development using languages such as Python, Java, Node.js, or Golang. Experience working as an Infrastructure or Platform Software Engineer in a fast-paced technology company or startup. Proficiency in cloud-native observability tools, including OpenTelemetry, Grafana, Prometheus, CloudWatch, Datadog, and related agents and collectors. Experience in designing and architecting large-scale distributed systems and cloud-native architecture on AWS. Excellent communication skills with the ability to convey and present business and technical concepts to stakeholders. Preferred qualifications, capabilities, and skills Familiarity working in AI, ML, or Data engineering. Familiar with developing Automation frameworks/AI Ops

The Consultant, Core Cyber Operations - Security Analytics Automation job enhances our security operations by leveraging advanced analytics, Security Orchestration, Automation, and Response (SOAR) capabilities, and automation tools. The ideal candidate will have a background in cybersecurity, automation, or data analytics, and will help develop and implement solutions that improve our threat detection and response capabilities. With limited supervision, this job supports the following functions: Key Accountabilities SECURITY ANALYTICS: Utilize advanced data analytics techniques to identify and mitigate security threats. Develop and maintain security metrics and dashboards to provide insights into security posture and incident trends. SOAR IMPLEMENTATION: Design, implement, and manage SOAR solutions to automate incident response processes. Integrate SOAR platforms with existing security tools and workflows to enhance efficiency and effectiveness. SOC ALARM OVERSIGHT: Develop, test, and maintain Security Operations Center (SOC) alarms to ensure accurate and timely detection of security incidents. Regularly review and update alarm configurations to adapt to evolving threats and improve detection capabilities. Collaborate with SOC analysts to validate alarm effectiveness and minimize false positives. AUTOMATION: Develop and deploy automation scripts and tools to streamline security operations. Collaborate with cross-functional operations teams to identify opportunities for automation and improve overall security posture. Qualifications ESSENTIAL FUNCTIONS CYBER SERVICES VISIBILITY: Designs and operates to assure situational visibility for all cyber services, including foundational cyber analytics and automation. MINIMUM TYPICAL YEARS OF WORK EXPERIENCE Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience. Understanding of cybersecurity principles, threat detection, and incident response. Experience in security analytics, SOAR, and/or automation. Proficiency in scripting languages such as Python, PowerShell, or Bash.

Job_Description":" Pando \u202fis a global leader in supply chain technology, building the worlds quickest time-to-value Fulfillment Cloud platform. Pando\u2019s Fulfillment Cloud provides manufacturers, retailers, and 3PLs with a single pane of glass to streamline end-to-end purchase order fulfillment and customer order fulfillment to improve service levels, reduce carbon footprint, and bring down costs. As a partner of choice for Fortune 500 enterprises globally, with a presence across APAC, the Middle East, and the US, Pando is recognized as a \u202fTechnology Pioneer by the World Economic Forum (WEF) , and as\u202f one of the fastest growing technology companies by Deloitte .\u202f Role As the Senior Lead for AI and Data Warehouse at Pando, you will be responsible for building and scaling the data and AI services team. You will drive the design and implementation of highly scalable, modular, and reusable data pipelines, leveraging big data technologies and low-code implementations. This is a senior leadership position where you will work closely with cross-functional teams to deliver solutions that power advanced analytics, dashboards, and AI-based insights. Key Responsibilities Lead the development of scalable, high-performance data pipelines using PySpark or Big Data ETL pipeline technologies. Drive data modeling efforts for analytics, dashboards, and knowledge graphs. Oversee the implementation of parquet-based data lakes. Work on OLAP databases, ensuring optimal data structure for reporting and querying. Architect and optimize large-scale enterprise big data implementations with a focus on modular and reusable low-code libraries. Collaborate with stakeholders to design and deliver AI and DWH solutions that align with business needs. Mentor and lead a team of engineers, building out the data and AI services organization. Requirements -8-10 years of experience in big data and AI technologies, with expertise in PySpark or similar Big Data ETL pipeline technologies. -Strong proficiency in SQL and OLAP database technologies. -Firsthand experience with data modeling for analytics, dashboards, and knowledge graphs. -Proven experience with parquet-based data lake implementations. -Expertise in building highly scalable, high-volume data pipelines. -Experience with modular, reusable, low-code-based implementations. -Involvement in large-scale enterprise big data implementations. -Initiative-taker with strong motivation and the ability to lead a growing team. Preferred -Experience leading a team or building out a new department. -Experience with cloud-based data platforms and AI services. -Familiarity with supply chain technology or fulfilment platforms is a plus. -Join us at Pando and lead the transformation of our AI and data services, delivering innovative solutions for global enterprises! ","Job_Type":"Full time" , "Job_Opening_Name":"Technical Lead - AI & Data Warehouse","State":"Tamil Nadu" , "Country":"India" , "Zip_Code":"600017" , "id":"727224000012573268" , "Publish":true , "Date_Opened":"2025-05-08" , "

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities 2. Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders 3. Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Deliver No. Performance Parameter Measure 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Game Advanced Analytics. Experience3-5 Years.

Quality and Performance Engineer will be responsible for driving business value in Order Management through Process Quality Improvement and supporting for performance management framework through digital initiatives and data analytics. Ensures to meet quality standards in the process for responsible regions and supporting teams in analyzing the data, identifying patterns and proactive notifications to end users for timely actions. You have: Engineering Graduate from any stream or equivalent graduation degree. 4+ years of experience preferably profile is advance analytics and reporting. Good knowledge of Power platform (Power BI, Power App and Automate), Quality tools and Digital Automation. Advanced Excel using Macros Experience with SAP It would be nice if you also had: Python Scripting Precise and Quality oriented Good interpersonal skills Proactively analyzes the performance metrics and takes proactive / correction action with concern team. Support in Digitalization and automation of process through small scripts and macros creation etc.. Provide technical support for the performance management framework using Power platform (power app, power BI and Power automate) Proactive monitoring and system alert creation for process exception i.e. creation of system alert / notification to end user when there is any deviation in the performance metrics. May lead small projects with limited risks and resource requirements. Demonstrate initiative & contributes to problem solving. Acts with independence and discretion in routine matters. Makes decisions that affect own work Perform routine activities to meet departmental/project objectives.

Job Title:Data Analytics Lead Experience15-20 Years Location:Bengaluru : Key Responsibilities Team Leadership & Delivery Excellence: Lead a cross-functional team comprising data architects, analysts, business SMEs, and technologists to deliver high-impact data analytics solutions. Define and enforce best practices for efficient, scalable, and high-quality delivery. Inspire a culture of collaboration, accountability, and continuous improvement within the team. Strategic Data Leadership: Develop and execute a data strategy aligned with client business objectives, ensuring seamless integration of analytics into decision-making processes. Collaborate with stakeholders to translate business needs into actionable data solutions, influencing strategic decisions. Technical and Architectural Expertise: Architect and oversee data platforms, including SQL Server, Snowflake, and Power BI, ensuring optimal performance, scalability, and governance. Lead initiatives in Data Architecture, Data Modeling, and Data Warehouse (DWH) development, tailored to alternative investment strategies. Evaluate emerging technologies, such as big data and advanced analytics tools, and recommend their integration into client solutions. Champion data quality, integrity, and security, aligning with compliance standards in private equity and alternative investments. Performance & Metrics: Define and monitor KPIs to measure team performance and project success, ensuring timely delivery and measurable impact. Collaborate with stakeholders to refine reporting, dashboarding, and visualization for decision support. Governance & Compliance: Establish robust data governance frameworks in partnership with client stakeholders. Ensure adherence to regulatory requirements impacting private markets investments, including fund accounting and compliance What’s on offer Competitive and above-market salary. Flexible hybrid work schedule with tools for both office and remote productivity. Hands-on exposure to cutting-edge technology and global financial markets. Opportunity to collaborate directly with international teams in New York and London. Candidate Profile Experience: 15+ years of progressive experience in program or project management within the capital markets and financial services sectors. Demonstrated expertise in SQL Server, Snowflake, Power BI, ETL processes, and Azure Cloud Data Platforms. Hands-on experience with big data technologies and modern data architecture. Proven track record in delivering projects emphasizing data quality, integrity, and accuracy. Deep understanding of private markets, including areas such as private equity, private credit, CLOs, compliance, and regulations governing alternative investments. Leadership & Collaboration: Exceptional problem-solving skills and decision-making abilities in high-pressure, dynamic environments. Experience leading multi-disciplinary teams to deliver large-scale data initiatives. Strong client engagement and communication skills, fostering alignment and trust with stakeholders. Preferred Certifications: Relevant certifications (e.g., CFA, Snowflake Certified Architect, or Microsoft Power BI Certified). Education Bachelor’s degree in computer science, IT, Finance, Economics, or a related discipline. Advanced degrees (MBA, MS in Computer Science, or related fields) preferred. Interview Process Initial recruiter call. Interview with technical team, delivery and account leadership team at ThoughtFocus. Interview with the client stakeholders. Final HR discussion.

Role Overview: Ketto , Asia's largest crowdfunding platform, is looking for an innovative Product Analyst to take charge of our data systems, reporting frameworks, and generative AI initiatives. This role is pivotal in ensuring data integrity and reliability, driving key insights that fuel strategic decisions, and implementing automation through AI. This position encompasses the full data and analytics lifecyclefrom requirements gathering to design planningalongside implementing advanced analytics and generative AI solutions to support Kettos mission. Key Responsibilities Data Strategy Automation: Lead data collection, processing, and quality assurance processes to ensure accuracy, completeness, and relevance. Explore opportunities to incorporate generative AI models to automate and optimize processes, enhancing efficiencies in analytics, reporting, and decision-making. Data Analysis Insight Generation: Conduct in-depth analyses of user behaviour, campaign performance, and platform metrics to uncover insights that support crowdfunding success. Translate complex data into clear, actionable insights that drive strategic decisions, providing stakeholders with the necessary information to enhance business outcomes. Reporting Quality Assurance: Design and maintain a robust reporting framework to deliver timely insights, enhancing data reliability and ensuring stakeholders are well-informed. Monitor and improve data accuracy, consistency, and integrity across all data processes, identifying and addressing areas for enhancement. Collaboration Strategic Planning: Work closely with Business, Product, and IT teams to align data initiatives with Kettos objectives and growth strategy. Propose data-driven strategies that leverage AI and automation to tackle business challenges and scale impact across the platform. Mentor junior data scientists and analysts, fostering a culture of data-driven decision-making. Required Skills and Qualifications Technical Expertise: Strong background in SQL, Statistics and Maths Analytical Strategic Mindset: Proven ability to derive meaningful, actionable insights from large data sets and translate findings into business strategies. Experience with statistical analysis, advanced analytics Communication Collaboration: Exceptional written and verbal communication skills, capable of explaining complex data insights to non-technical stakeholders. Strong interpersonal skills to work effectively with cross-functional teams, aligning data initiatives with organisational goals. Preferred Experience: Proven experience in advanced analytics roles Experience leading data lifecycle management, model deployment, and quality assurance initiatives.

About The Role : At RBHU, we are a team of hyper-focused individuals focused on achieving clear, outstanding results. We thrive on a foundation of trust, collaboration, and a shared sense of purpose. By harnessing our collective talents and aligning our efforts, our teams consistently surpass benchmarks and set new standards of excellence. Requirements We are looking for bright, young engineers with good mathematics skills and an interest in data analytics/science. Experience 0 to 2 years Knowledge of the following will be advantageous : - SQL Query writing- MS Power BI- Python/R for data science Responsibilities : Selected candidates will be responsible for the following :- Data Cleaning and Preparation This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance.- Data Exploration and Analysis Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends.- Data Visualization They create visual representations of data findings through charts, graphs, and dashboards to make the data understandable.- Reporting Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes.- Collaboration They often work with other departments to understand their data needs and help them make informed decisions based on data insights.- Understand requirements given by business users in the functional domain.- Access data stored in databases/warehouses/flat files.- Create/test/deploy intuitive and interactive, analytical dashboards.- Create algorithms in Python/R for advanced analytics.- Create data governance policies like RLS to manage data security.ApplyInsightsFollow-upSave this job for future referenceDid you find something suspiciousReport Here! Hide This JobClick here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

About the job: About The Role Business Analyst - Debt Collection Process LocationMarol, Andheri East, Mumbai Experience - Minimum 2-3 years as a Business Analyst, preferably in the financial services or debt collection industry. Education - Graduate/Postgraduate in Business Administration, Finance, Data Analytics, or a related field Technical Skills: - Proficiency in data analysis tools, CRM systems, and visualization tools (Power BI, Tableau, etc.)Key Responsibilities:Process Analysis and Optimization:- Analyze the end-to-end debt collection process to identify inefficiencies and recommend improvements.- Develop workflows and process maps for various DPD buckets (Pre-due, 0-30, 31-60, etc.- Work with cross-functional teams to implement process enhancements. Data Analysis and Reporting:- Collect and analyze data on recovery performance, delinquency trends, and agent productivity.- Generate actionable insights to guide decision-making for collections strategy.- Create and maintain dashboards to track KPIs such as recovery rate, PTP adherence, and outstanding amounts. Strategy Development:- Collaborate with the Collections Head and other stakeholders to design data-driven strategies for debt recovery.- Provide insights on customer behavior, payment patterns, and risk segmentation to inform targeted collection efforts.- Support digital collections initiatives by analyzing campaign effectiveness and ROI. Technology and Systems Support:- Work with IT teams to enhance CRM systems and integrate new tools for process automation.- Assist in implementing AI-driven solutions, such as conversational bots, for pre-due and overdue collections.- Ensure proper data flow and system alignment between collection platforms, dialers, and MIS systems. Performance Monitoring:- Track and report on the effectiveness of recovery strategies across different channels (voice, digital, field).- Identify trends in non-payment and propose corrective measures for at-risk portfolios.- Monitor the impact of legal and compliance activities, such as notices and settlements. Stakeholder Collaboration:- Act as a liaison between operations, legal, compliance, and digital teams to ensure alignment of collection efforts.- Communicate findings and insights to senior management through presentations and detailed reports.- Collaborate with external partners, such as outsourced agencies, to ensure data accuracy and goal alignment. Risk and Compliance Monitoring:- Conduct periodic analysis of high-risk accounts and recommend mitigation strategies.- Ensure all process changes align with regulatory guidelines and company compliance policies.Key Skills and Requirements:Technical Skills: - Proficiency in data analysis tools (Excel, SQL, Python/R preferred).- Experience with CRM systems and visualization tools like Power BI or Tableau.- Familiarity with collection tools, dialers, and automation platforms is a plus.Analytical Skills: - Strong ability to interpret complex data and translate it into actionable strategies.- Problem-solving skills to address process inefficiencies and challenges.Communication Skills: - Excellent written and verbal communication to interact with stakeholders at all levels.- Strong presentation skills for conveying insights effectively.Work Ethic:- Detail-oriented, proactive, and goal-focused.- Ability to handle multiple priorities and meet tight deadlines.Job Perks:- Competitive salary and performance-based incentives.- Opportunity to work in a dynamic fintech environment.- Exposure to advanced analytics tools and debt collection strategies.- Professional development opportunities and cross-functional collaboration.About The Company: FatakPay Digital Private Ltd (FatakPay) is a digital-only lending platform that provides virtual credit cards. The solution provides a 100% digital and paperless quick, transparent and secure way to transact in multilingual format with a 'scan now, pay later' facility and easy repayment options. We're a company that strongly believes in teamwork, design, creativity and tech. We love to build the best possible Financial Tech products that make the world a better place. It was founded by a team of four IIT- B, Erasmus University alum and with 70+ years of combined experience in Tech and Finance.ApplySaveSaveProInsights

About The Role Business Analyst - Debt Collection Process. LocationMarol, Andheri East, Mumbai. ExperienceMinimum 2-3 years as a Business Analyst, preferably in the financial services or debt collection industry. EducationGraduate/Postgraduate in Business Administration, Finance, Data Analytics, or a related field. Technical Skills: Proficiency in data analysis tools, CRM systems, and visualization tools (Power BI, Tableau, etc. Key Responsibilities: Process Analysis and Optimization:- Analyze the end-to-end debt collection process to identify inefficiencies and recommend improvements.- Develop workflows and process maps for various DPD buckets (Pre-due, 0-30, 31-60, etc.- Work with cross-functional teams to implement process enhancements. Data Analysis and Reporting:- Collect and analyze data on recovery performance, delinquency trends, and agent productivity.- Generate actionable insights to guide decision-making for collections strategy.- Create and maintain dashboards to track KPIs such as recovery rate, PTP adherence, and outstanding amounts. Strategy Development:- Collaborate with the Collections Head and other stakeholders to design data-driven strategies for debt recovery.- Provide insights on customer behavior, payment patterns, and risk segmentation to inform targeted collection efforts.- Support digital collections initiatives by analyzing campaign effectiveness and ROI. Technology and Systems Support:- Work with IT teams to enhance CRM systems and integrate new tools for process automation.- Assist in implementing AI-driven solutions, such as conversational bots, for pre-due and overdue collections.- Ensure proper data flow and system alignment between collection platforms, dialers, and MIS systems.Performance Monitoring:- Track and report on the effectiveness of recovery strategies across different channels (voice, digital, field).- Identify trends in non-payment and propose corrective measures for at-risk portfolios.- Monitor the impact of legal and compliance activities, such as notices and settlements. Stakeholder Collaboration:- Act as a liaison between operations, legal, compliance, and digital teams to ensure alignment of collection efforts.- Communicate findings and insights to senior management through presentations and detailed reports.- Collaborate with external partners, such as outsourced agencies, to ensure data accuracy and goal alignment. Risk and Compliance Monitoring:- Conduct periodic analysis of high-risk accounts and recommend mitigation strategies.- Ensure all process changes align with regulatory guidelines and company compliance policies. Key Skills and Requirements:Experience:- 2-3 years as a Business Analyst, with experience in debt collection or financial services preferred. Education:- Graduate/Postgraduate in Business Administration, Finance, Data Analytics, or related field. Technical Skills: - Proficiency in data analysis tools (Excel, SQL, Python/R preferred).- Experience with CRM systems and visualization tools like Power BI or Tableau.- Familiarity with collection tools, dialers, and automation platforms is a plus. Analytical Skills: - Strong ability to interpret complex data and translate it into actionable strategies.- Problem-solving skills to address process inefficiencies and challenges. Communication Skills: - Excellent written and verbal communication to interact with stakeholders at all levels.- Strong presentation skills for conveying insights effectively. Work Ethic:- Detail-oriented, proactive, and goal-focused.- Ability to handle multiple priorities and meet tight deadlines. Job Perks:- Competitive salary and performance-based incentives.- Opportunity to work in a dynamic fintech environment.- Exposure to advanced analytics tools and debt collection strategies.- Professional development opportunities and cross-functional collaboration. Job LocationMarol, Andheri East, MumbaiApplySaveSaveProInsights

Job Title: Google Analytics Specialist Location: Hyderabad, India Experience: 5+ Years Mandatory Skill: Firebase Job Summary: We are looking for a skilled Google Analytics Specialist with strong experience in GA4, Universal Analytics, Google Tag Manager (GTM), and JavaScript The role involves implementing tracking solutions, analyzing digital performance, and delivering actionable insights to improve user engagement and business outcomes, Key Responsibilities: Implement and manage Google Analytics (GA4/Universal Analytics) configurations and tracking, Set up and maintain Google Tag Manager (GTM) for precise event tracking and data collection, Develop custom tracking solutions using JavaScript and Firebase for advanced analytics needs, Analyze website and app data to extract insights and support strategic decisions, Collaborate with cross-functional teams (developers, marketers, product managers) to optimize analytics setup, Create reports and dashboards to track KPIs and user behavior, Troubleshoot tracking issues and ensure accurate data flow, Required Skills & Qualifications: Proficiency in Google Analytics (GA4 & Universal Analytics) setup and reporting, Expertise in Google Tag Manager (GTM) tag implementation and debugging, Strong hands-on experience with JavaScript and data layer configuration, Working knowledge of Firebase for mobile analytics, Ability to handle large datasets and deliver clear, data-driven insights, Excellent problem-solving, communication, and collaboration skills,

Role: Power BI Expert Location: Mohali, Punjab Shift: 12:00 PM 10:00 PM Role Overview We are seeking a highly skilled Power BI Expert to join our analytics team The ideal candidate will possess deep expertise in Power BI, advanced analytics, and data engineering You will be responsible for creating complex dashboards, implementing advanced data transformations, and providing strategic insights to meet business needs, Job Roles & Responsibilities Design, develop, and deploy advanced Power BI dashboards with complex data visualizations, Utilize DAX (Data Analysis Expressions) to create custom measures and calculations, Implement advanced Power Query/Big Query techniques for data transformation and modeling, Work with large and complex datasets from multiple sources, ensuring data accuracy, consistency, and integrity, Partner with cross-functional teams to understand business requirements and translate them into technical solutions, Troubleshoot and resolve complex technical issues in Power BI, Collaborate with stakeholders to define KPIs, track business metrics, and implement advanced reporting solutions Required Skills Strong proficiency in data modeling and database management, Hand-on experience in Advance Excel , Power Bi, DAX Programing , Power Query/Big Query techniques, SQL and Google Sheets, Solid understanding of data visualization principles, UI/UX design for dashboards, and storytelling with data, Hands-on experience with API Integration as data sources, Exceptional problem-solving and analytical skills, Excellent communication and stakeholder management abilities, A proactive mindset with attention to detail and a passion for data-driven decision-making, Technical background ETL Processes Hands-on experience with Extract, Transform, Load (ETL) processes using Power BI or external tools like SSIS (SQL Server Integration Services), Data Integration Ability to connect and integrate data from various sources (e-g , Excel, SQL Server, Azure, APIs, Google Analytics), Statistical Analysis Understanding of statistical methods and data interpretation, PowerBI Visualization & CoPilot Must have a experience in a great visualization to prepare reports, trends, and use integrated AI for result analysis and recomendations, Qualification Required Bachelors Degree (minimum) in a related field such as: Computer Science Information Technology Data Science Statistics Mathematics Business Analytics Engineering (any relevant discipline) Masters Degree (optional, but advantageous for advanced roles): MBA with a focus on Business Analytics or Information Systems Masters in Data Science, Computer Science, or Statistics

Division India Business Department India Business Prescription Marketing Sub Department 1 Commercial Excellence Job Purpose Cipla Limited is one of the top 5 pharma company in the Indian Pharmaceutical Market Its product portfolio includes over 1,500 products across wide range of therapeutic categories Cipla has always been at the forefront of implementing new age engagement models with doctors enabled by digital and analytics to give them a best-in-class experience, The Analytics Manager will be responsible for Running advanced analytics based on AI/ML models to solve business problems, work with stakeholders to communicate the findings of the analytics Developing existing products and assets to match the evolving business needs and technology landscape, enrich Phoenix elements like D360, NBA etc with real-time and more meaningful findings Driving product vision and strategy as one of the closest people in the business, work closely with other stakeholders (Design team, Business team, IT team, technology partner etc ) for product planning and execution throughout the product lifecycle Key Accountabilities (1/6) Drive advanced analytics and generate insights for One India Business Gather unstructured business problems from the stakeholders and proactively drive analytics to deliver actionable insights for business decisions Work with stakeholders to enrich the insights by connecting dots with other quantitative and qualitative findings, validating the analytics outcome with multiple data sources to overcome data quality issues Assess and onboard new datasets, technology to drive more meaningful and faster insight generation Work collaboratively with the data scientists to deliver quality and impactful outcomes on time Key Accountabilities (2/6) Product Development, launch & Usage (Phoenix elements like D360, NBA etc ) Drive product vision and communicate ?the storyeffectively to key stakeholders and the rest of the team Own the end-to-end product from inception to development and determine tangible business impact of products Ensure customer-driven design considering user pain points & usability test results, while using market & industry knowledge as well as continual research, to deliver a well-positioned product Set up a robust review and feedback mechanism across teams to ensure alignment and efficiency Collaborate with stakeholders to ensure the product is aligned with the teams strategy and requirements Major Challenges High volume of unstructured data (sometimes of low quality) Managing stakeholders across various functions for getting buy-in for analytics outcomes and to drive product development Delivering product enhancements according to timelines while managing uncertainties within the process Ensuring continuous improvement in the products based on real time feedback from users Key Interactions (1/2) Data scientists to derive insights from data base Commercial/ Sales teams to share insights and implement product for end users Design team to develop product frontend Technology team to develop infrastructure to host products Strategy team to develop and implement product vision Key Interactions (2/2) Technology partner to ensure appropriate infrastructure for delivering products Creative agencies to develop designs for product frontend, internal communications Dimensions (1/2) Responsible for driving advanced analytics for >10K employees (Field + HO) Developing and managing products which impact medicals representatives catering to ~4 Lakh doctors Key Decisions (1/2) Product enhancements, user journeys within product and feedback mechanism Mechanism for project management within the team Key Decisions (2/2) Overall product vision and features offered by product Education Qualification Bachelors degree in computer science or related field Relevant Work Experience 3-5 years of experience in advanced analytics / data science / product development in pharmaceutical domain in an agile setting in a similar role, Proven knowledge of standard concepts, practices, and procedures within the healthcare industry with focus on digital, Comfortable with technology/IT to be able to engage in discussion with tech team to understand risks Strong Excel, SQL and Python skills Strong communication skills with ability to communicate complex messages and trade-offs and tell a compelling story Ability to influence a diverse group of stakeholders ? strong interpersonal skills

We are looking for a driven and experienced Azure DevOps Engineer to join our dynamic team. The ideal candidate will have a strong background in CI/CD pipelines, infrastructure as code, cloud architecture, and automation within the Microsoft Azure ecosystem. You will collaborate with developers, QA, and operations teams to streamline deployments and ensure reliability, scalability, and performance across all environments. Experience: 2-5+ Years Responsibilities: Develop and implement technical efforts to design, build, and deploy Azure applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics. Participate in all aspects of the software development life cycle, including planning, requirements, development, testing, and quality assurance. Troubleshoot incidents, identify root cause, fix and document problems, and implement preventive measures. Educate teams on the implementation of new cloud-based initiatives, providing associated training as required. Employ exceptional problem-solving skills, with the ability to see and solve issues before they affect business productivity. Desired Candidate Profile:: Bachelors degree in computer science, information technology, or mathematics. 3+ years of experience architecting, designing, developing, and implementing with Azure platforms. Understanding of and experience with the five pillars of a well-architected frameworks. Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics. Proven ability to collaborative with multi-disciplinary teams of business analysts, developers, data scientists, and subject matter experts. Certification and Advance skill: AWS certifications are a plus point. Knowledge of web services, API, REST, and RPC. Essential Qualification: BCA/MCA, BSC IT / MSC IT , B.E- CS/ME-CS, B.Tech IT, PGDC IT, MBA-IT, Any graduate in IT (Computer), Phd (computer).

As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications Managing AWS resources including EC2,Redshift,EMR-Spark etc Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications Managing AWS resources including EC2,Redshift,EMR-Spark etc Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

About this role: Wells Fargo is seeking a Analytics Consultant In this role, you will: Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Understand compliance and risk management requirements for supported area Ensure adherence to data management or data governance regulations and policies Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals Collaborate and consult with more experienced consultants and with partners in technology and other business groups Required Qualifications: 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Bachelors degree or higher in a quantitative field such as computer sciences, engineering, applied math, accounting, finance, economics, econometrics with a quantitative emphasis. Experience in one or a combination of the following: Data quality, reporting, analytics. Prior experience in an internal/external consultative role and/or investment banking/corporate banking support experience is preferred. Prior experience in handling small or medium complexity projects individually, complex or large-scale project participation, experience with matrix managed teams is a plus Candidates should have a solid mastery of Advanced SQL, Advanced Excel, Power BI, knowledge in performing ETL tasks using SQL / Python, Microsoft PowerPoint skills The successful candidate will have a very strong interest in developing both business and technical skills while navigating a dynamic business environment. Excellent verbal, written, and interpersonal communication skills Strong analytical skills with high attention to detail and accuracy Experience with and knowledge of relational databases and concepts Ability to interact and build relationships with senior leaders, peers and key support partners. Ability to work creatively, analytically and independently in a dynamic environment. Exceptional oral and written communication skills and ability to communicate effectively with both business unit (non-technical) and development (technical) personnel. Experience documenting processes and reporting workflows Job Expectations: Strong Individual contributor with excellent communication skills for a variety of audiences (other technical staff and senior management) both verbally and in writing Experience in problem analysis, solution implementation, and change management Must make timely and independent judgment decisions while working in a fast-paced and results-driven environment Ability to articulate issues, risks and proposed solutions to various levels of staff and management Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions Skill in managing relationships with key stakeholders Eagerness to contribute collaboratively on projects and discussions Perpetual interest in learning something new, but being comfortable with not knowing all the answers Attention to detail in both analytics and documentation Connects with customers to understand and document business processes workflow. Develop understanding of business processes and recommend efficiency based on technical and architectural knowledge Provide both technical consulting to business leaders at an appropriate level of information encapsulation Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems. Develop reports using Power BI, SQL, Tableau, Python, Excel or various other tools Having SSRS knowledge will be added advantage Verify accuracy of reports, reconciling data and producing data/information within established timelines Generate deep insights through the analysis of data and understanding of operational processes and turn them into actionable recommendations Work with technology partners to managing tables, views and other database structures to adapt to changing business needs and in compliance with embedded IT policies. Answer ad hoc questions from customers including confirming data, populating templates provided to the group or creating new reports/extracts as requested by customers Collaborate with team members to operate at higher level of dimensionality to innovate and bring in game changing ideas to fruition Partner with business stakeholders in the development of key business reporting (e.g. Portfolio level dashboard, Productivity, regulatory reporting etc.) and optimal delivery channels for the distribution of the reporting solutions

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If youre also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities Responsible for overseeing the data scientists’ team and data specialists Teach, lead, and counsel colleagues on new techniques or solutions Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem Responsible for the conception, planning, and prioritizing of data projects Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques Ensure that data projects align with organizational goals Minimum Qualification Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field 10+ years of experience solving analytical problems using quantitative approaches

Evaluate model development data quality, methodology Perform proper documentation Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Required Candidate profile 2+ years experience in model development or model validation experience in the retail section of a U. S. financial services/banking hands-on and proven experience utilizing Python, Spark , SAS, SQL,

locationsIN - Bangalore posted onPosted 30+ Days Ago job requisition idR141701 Welcome to the AP Moller Maersk! AP Moller Maersk is a $81.5 billion global shipping & logistics leader. Maersk is a Danish business conglomerate founded in 1904, with activities in the transport and logistics and energy sectors. Maersk has been the largest container ship and supply vessel operator in the world since 1996. The company is based in Copenhagen, Denmark with subsidiaries and offices across 130 countries and around 110,000 employees. Maersk's VisionImproving lives for all, by integrating the world. To know more about everything that Maersk does, visit us at. FocusPipeline Performance & Marketing Effectiveness We are seeking a Marketing Revenue Analyst with deep expertise in Salesforce Sales Cloud and Marketing Cloud , specializing in pipeline analysis, data extraction, and marketing performance optimization . This role will be responsible for tracking the impact of marketing efforts on pipeline growth, ensuring data accuracy, and driving strategic insights through advanced analytics and automation. Key Responsibilities: Monitor and analyze the marketing pipeline within Salesforce Sales Cloud and Marketing Cloud , tracking lead movement across all funnel stages. Develop and optimize dashboards in Salesforce and BI tools to provide real-time visibility into pipeline performance, conversion rates, and revenue impact. Extract, transform, and analyze data from Salesforce Sales Cloud and Marketing Cloud using APIs, data exports, and automation tools . Assess marketing effectiveness by analyzing campaign performance, attribution models, and lead conversion metrics within Salesforce. Monitoring data integrity across CRM, analytics, and marketing platforms, identifying data inconsistencies. Collaborate cross-functionally with marketing and sales teams to provide data-driven recommendations for improving pipeline efficiency. Support forecasting and goal setting , leveraging historical data and predictive analytics to establish benchmarks for lead generation and pipeline performance. Qualifications: Experience working with Salesforce Sales Cloud and Marketing Cloud , including data extraction, API usage, and automation . Strong analytical skills with expertise in CRM reporting, data visualization tools Power BI, or similar, Ability to play with raw/big data data using excellent skills in at least one of SQL/Python/Pyspark. Understanding of marketing attribution, lead scoring, and campaign tracking . Familiarity with pipeline forecasting models and revenue impact analysis. Ability to translate complex data into actionable insights for marketing and sales teams. Key Competencies >3 years of experience in BtoB marketing performance measurement Financial acumen Strong analytical mindset Knowledge of BtoB marketing. Experienced in analytical & performance reporting tools (PowerBI, Google Analytics) Collaborator and team player. Fluent in English Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing .

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Data & AIDesign, develop and provide reports of exports and representations of pipeline data, sales results and other relevant data points. Assess pipeline status, and sales performance, identify trends and analyze root causes. What are we looking for? Microsoft Excel Microsoft Advanced Analytics Data Analytics Team Mentor Sales Ops domain Prioritization of workload Adaptable and flexible Ability to work well in a team Ability to handle disputes Ability to meet deadlinesSQL/Power BI Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualifications Any Graduation