9086 Data Analysis Jobs

JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Immediate joiners preferred .. Job Title: Data & Analytics Strategy Executive Experience: Minimum 2+ Years Location: Remote [Hybrid later] (Pune / Coimbatore / chennai / Mumbai / Gurugram / Bengaluru) Type: Full-Time Shift : 12:30 PM to 9:30 PM Afternoon shift Role Overview: Analyst will use in-depth knowledge in Technical Analytics skills and an understanding of media channel based KPIs to help campaign reporting, measurement along with providing insights & recommendations Key Responsibilities Analyze media spend, ROI, and performance metrics across key digital platforms such as Google Ads, Facebook/Instagram, DCM, DV360 and translating data into actionable insights. Develop and maintain advanced dashboards and reports that provide actionable insights and visualizations to stakeholders at different levels of the organization. Maintain, create and re-view QA plans for deliverables to align with the requirements, identify discrepancies if any and troubleshoot issues. Work with various internal and external stakeholders to develop project plan, manage the day-to-day tasks and meet project deadlines Skills and experience: Minimum 2-5 years of experience as a Marketing Analyst. Strong experience with Digital Media Data across Search, Social, Display, Programmatic media and strong understanding of Digital KPIs. Understanding of marketing funnels and relevant KPIs. Knowledge of selected programming languages (e.g., SQL) In-depth knowledge of relational databases (e.g., Snowflake, GCP) Analytical & problem-solving skills. Strong written and oral communication skills. Expertise in designing new dashboards, identifying the right metrics, layout. Exposure to Tableau. Good-to-have: Other Visualization tools like Power BI and Looker Studio, GCP, Datorama etc. Interested share resume on dhanashree.chitre@weareams.com

. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities 3+ years of experience in implementing analytical solutions using Palantir Foundry. preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. Team management Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. Training candidate should have experience in creating training programs in Foundry and delivering the same in a handson format either offline or virtually. At least 3 years of handson experience of building and managing Ontologies on Palantir Foundry. At least 3 years of experience with Foundry services Data Engineering with Contour and Fusion Dashboarding, and report development using Quiver (or Reports) Application development using Workshop. Exposure to Map and Vertex is a plus Palantir AIP experience will be a plus Handson experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. Handson experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. Handson experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. Handson experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. Experience in MLOps is a plus. Experience in developing and managing scalable architecture & working experience in managing large data sets. Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. Experience in developing GenAI application is a plus Mandatory skill sets At least 3 years of handson experience of building and managing Ontologies on Palantir Foundry. At least 3 years of experience with Foundry services Preferred skill sets Palantir Foundry Years of experience required Experience 4 to 7 years ( 3 + years relevant) Education qualification Bachelor's degree in computer science, data science or any other Engineering discipline. Master s degree is a plus. Education Degrees/Field of Study required Bachelor of Science Degrees/Field of Study preferred Required Skills Palantir (Software) Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Travel Requirements Government Clearance Required?

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities 3+ years of experience in implementing analytical solutions using Palantir Foundry. preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. Team management Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. Training candidate should have experience in creating training programs in Foundry and delivering the same in a handson format either offline or virtually. At least 3 years of handson experience of building and managing Ontologies on Palantir Foundry. At least 3 years of experience with Foundry services Data Engineering with Contour and Fusion Dashboarding, and report development using Quiver (or Reports) Application development using Workshop. Exposure to Map and Vertex is a plus Palantir AIP experience will be a plus Handson experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. Handson experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. Handson experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. Handson experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. Experience in MLOps is a plus. Experience in developing and managing scalable architecture & working experience in managing large data sets. Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. Experience in developing GenAI application is a plus Mandatory skill sets At least 3 years of handson experience of building and managing Ontologies on Palantir Foundry. At least 3 years of experience with Foundry services Preferred skill sets Palantir Foundry Years of experience required Experience 4 to 7 years ( 3 + years relevant) Education qualification Bachelor's degree in computer science, data science or any other Engineering discipline. Master s degree is a plus. Education Degrees/Field of Study required Bachelor of Science Degrees/Field of Study preferred Required Skills Palantir (Software) Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. \ Responsibilites Adobe Analytics implementation experience across the lifecycle. Good understanding of data collection using Adobe Experience Platform (AEP). Should be very well versed with Adobe Launch or any other tag management solutions like GTM. Excellent JavaScript experience in coding and troubleshooting the analytics implementation on a large scale website. Create and maintain Adobe Analytics JavaScript tags and plugins. Convert scope and requirements to Solution Design Reference (SDR) document Be able to convert SDR to exact JS code to be added on page or user actions on page Thorough knowledge of Analytics Workspace and Admin Console Collaboration with various business stakeholders in scoping out analytics implementation for new initiatives Handson experience with one or more debugging tools like Charles, Chrome Debugger. Handson experience in implementing 3rd party or Marketing pixels such as Google gTag, Facebook Pixel, Linked Insight tags etc... Good understanding on Reporting and Analytics concepts Mandatory Skill Sets 1. Adobe Analytics, 2. Adobe Experience Platform, 3. Adobe Launch, 4. Developer Tools (Chrome, Firefox) 5. JavaScript (Advanced) 6. Adobe Target Preferred Skill Sets HTML+CSS+Javascript Education Qualification Graduate Engineer or Management Graduate , BE / BTECH / MCA / MTECH / MSC / MBA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred Required Skills Adobe Acrobat Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more} Travel Requirements Government Clearance Required?

About The Role : Role Purpose The purpose of the role is to provide timely, accurate and quality MIS reports, dashboards to the external & internal stakeholders of account(s) as per the defined process and standards of security and compliance Do Prepare timely and accurate MIS reports and dashboards as required by the stakeholders Interact and work closely with management, internal stakeholders & clients to understand the business information needs Ensuring all reports & dashboards are prepared as per stakeholder requirements as per the desired frequency (weekly/ monthly/ quarterly) Ensure regular review with the MIS Team Lead for 100% accuracy before populating any customized dashboard or generating any customized report Track and follow up with relevant stakeholder for timely updation and data management of parameters (key SLA metrics such as run-rate etc.) Generate account level reports (billable and non-billable) on forecasting, scheduling (both onshore and offshore) and performance against SLAs, CSAT, Quality etc. Ensure zero non-compliances on process audit on data security and compliance Support and adopt tools and systems for efficient MIS generation and reporting system Continuous support to the manager in rolling out new techniques and initiatives to increase productivity Providing update to the manager on the progress of any new MIS initiatives Perform periodic maintenance and servicing of MIS system to improve operational efficiency Adopt new tools, technology solutions and develop capability through training to improve own productivity. Develop analytical skills and understanding of statistical analysis to suggest improvement in the quality of analysis Deliver No.Performance ParameterMeasure 1.MIS Management and ReportingQuality of Analysis Zero errors in reports Zero non-conformance on timelines with respect to the client/ stakeholder requirements 2.Stakeholder ManagementCustomised dashboards as per client and functional requirements Zero escalations on data reporting Zero non-conformance on security or compliance requirements 3.Team Management Team attrition %, Employee satisfaction score Interested candidates can call @9289635617

In tax payroll services at PwC, you will provide advice and guidance to clients on taxrelated payroll matters. You will facilitate compliance with tax regulations in payroll processing, assist businesses in calculating and withholding taxes from employee wages, and help resolve payroll tax issues. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career in Finance, within Internal Firm Services, will provide you with the opportunity to help PwC in all aspects of our Finance internal function including financial planning and reporting, data analysis, and assisting leadership with overall strategy. You ll focus on recording and analysing financial transactions, paying and receiving invoices, maintaining financial statement ledger accounts, and preparing analysis and reconciliations of bills to detect fraud. Our Internal Tax team provides internal services related to financial services, treasury and taxation. As part of our team, you ll help the team provide a full range of taxation services to PwC related to complex financial reporting, cost management, tax planning, investment management and transaction processing. Tax Planning and Compliance Ensure timely execution of direct tax and regulatory compliance with accuracy and quality. Monitor and manage tax governance and alignment on tax positions adopted by engagement teams, IFS, and finance teams. Stay updated with changes in tax laws and evaluate their impact on operations and business models. Ensure the adequacy of tax provisions and ownership of tax accounts, ensuring tax positions are followed. Conduct due research on tax matters to ensure effective representation of the tax position adopted with detailed documentation within timelines. Financial Metrics and Reporting Monitor the tax governing framework on tax assets realization to avoid working capital lockin and prevent tax leakage. Ensure timely submission of data for tax and regulatory reporting with effective review and adherence to validation checks. Responsible for maintaining robust internal controls and regular reviews to prevent errors and fraud, ensuring the integrity of tax and regulatory reporting. Ensure accurate tax and regulatory reporting, highlighting exceptions, and ensuring the impact is factored into policies and the cost of operations. Stakeholder Management Advise the business to protect profitability on additional costs of doing business in domestic and crossborder markets. Manage relationships with tax consultants, internal and external auditors, and IFS functions to ensure effective compliance on tax and regulatory positions and policies. Coordinate with finance teams for timely data collection for tax compliances with accuracy and timelines to monitor reconciliation. Ensure regular connection with tax compliance teams to build understanding of tax positions, system controls, and governance, suggesting enhancements to improve the effectiveness of data for tax and regulatory reporting. Audit and Litigation Management Oversee tax audits, coordinate with external auditors, and manage responses to audit inquiries. Ensure timely closure of audit points with complete and accurate submission of schedules and documents. Review mock tax assessment schedules and support litigation efforts. Ensure effective maintenance of documentation with respect to compliance and assessments and timely updates in reporting applications. Technological Advancements Lead the implementation of technological advancements in the tax function with bestinclass automation practices to drive efficiency in overall finance processes impacting tax and regulatory compliances. Collaborate with IT and finance teams to enhance taxrelated systems and tools. Mandatory skill sets 3+ years Preferred skill sets Direct Tax, Income tax returns Years of experience required Tax Filling Education qualification CA Education Degrees/Field of Study required Chartered Accountant Diploma Degrees/Field of Study preferred Required Skills Direct Tax, Income Tax Return Tax Filings No

FS XSector Specialism Risk Management Level Senior Associate & Summary At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes. Why PWC Learn more about us . \ & Summary PwC s Corporate Intelligence services in India assist clients in identifying information and intelligence that enables them to make informed decisions before entering new or unknown markets. Corporate intelligence is conducted to identify risks associated with thirdparties, agents, proposed M&A targets, and other potential targets. It evaluates the background, integrity, reputation and performance track record of an individual, a management group or corporate entity by collecting and analyzing information that is available in the public domain, subscribed databases and market sources. Responsibilities Carrying out secondary research in order to identify any red flags associated with the targets that could be potentially damaging for an organization Carrying out checks to identify information pertaining to background, shareholding/ownership structure, key personnel, litigation, regulatory noncompliance, material adverse, credit defaults, among others. Conducting checks on GST, PAN, MSME, MCA and equivalent websites for international territories Preparing high quality due diligence report with summarization of information obtained from various sources including databases, internet and public domain. Experience in primary or L2 research, discreet calling, and conducting thorough investigations with confidentiality while gathering essential information (specific to certain roles) Ability to interpret a complex issue and bring structure to ambiguous issues. Continuously work with the intelligence gathering team to identify information gaps and identification of relevant sources. Review of questionnaire responses and evidence submitted by third parties related to Compliance, ABAC, BCP, Human Rights, Infosec and Data Privacy. Support in drafting polices related to TPRM, ABAC, and Sanctions. Mandatory skill sets Understanding of risks and regulations related to TPRM for geographies like India, EU, UK, US. Working knowledge to compliance databases and/or TPRM platforms Ability to work on multiple projects and manage workload to deliver high quality work Support project partner/directors and managers to provide project updates to internal and external stakeholders as per role level and designation Possess strong rigor and dedication to meet client deadlines Along with project work, also understand and rigorously complete all administrative aspects include risk management Strong communication skills are essential for engaging with both internal and external stakeholders. The ability to articulate messages clearly, concisely, and in a structured manner is paramount. Ability to review the work done (deliverables) by the team members and guide/train new joiners as well as delegate work with clearly defined timelines, as per role level and designation Proficient analytical skills, enabling the identification of potential problem solutions Diligent attention to detail and adept management of sensitive information Preferred skill sets The role requires the selected candidate to support the project team in carrying out third party due diligence assessments by performing research in the public domain and analyzing the information gathered Experience on Infosec and Data Privacy assessments is good to have Years of experience required 2 to 7 Years Education qualification Graduation or Post Graduation Education Degrees/Field of Study required Master Degree, Bachelor Degree Degrees/Field of Study preferred Required Skills Third Party Management Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, AntiBribery, AntiMoney Laundering Compliance, Business Ethics, Code of Ethics, Communication, Compliance and Governance, Compliance and Standards, Compliance Auditing, Compliance Frameworks, Compliance Program Implementation, Compliance Reporting, Compliance Review, Compliance Risk Assessment, Compliance Training, Controls Compliance, Creativity, Cybersecurity Risk Management, Data Analysis and Interpretation, Data Protection Management (DPM), Disability Support, Embracing Change {+ 30 more} No

Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. \ & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities 3+ years of experience in implementing analytical solutions using Palantir Foundry. preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. Team management Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. Training candidate should have experience in creating training programs in Foundry and delivering the same in a handson format either offline or virtually. At least 3 years of handson experience of building and managing Ontologies on Palantir Foundry. At least 3 years of experience with Foundry services Data Engineering with Contour and Fusion Dashboarding, and report development using Quiver (or Reports) Application development using Workshop. Exposure to Map and Vertex is a plus Palantir AIP experience will be a plus Handson experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. Handson experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. Handson experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. Handson experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. Experience in MLOps is a plus. Experience in developing and managing scalable architecture & working experience in managing large data sets. Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. Experience in developing GenAI application is a plus Mandatory skill sets At least 3 years of handson experience of building and managing Ontologies on Palantir Foundry. At least 3 years of experience with Foundry services Preferred skill sets Palantir Foundry Years of experience required Experience 10+ years ( 4 + years relevant) Education qualification Bachelor's degree in computer science, data science or any other Engineering discipline. Master s degree is a plus. Education Degrees/Field of Study required Bachelor Degree, Master Degree Degrees/Field of Study preferred Required Skills Palantir (Software) Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 24 more} Travel Requirements Government Clearance Required?

Fusion Plus Solutions Inc is looking for mulesoft developer to join our dynamic team and embark on a rewarding career journey Ability in implementing Mule recommended best practices and solution, meeting the acceptance criteria; Conducts reviews of developed code; End to End Testing; Develop and guide the team members in enhancing their technical capabilities and increasing productivity; Requirement understanding; Designs ETL processes using Informatica Power Center; Provide estimates for development; Provide on-call and after hours support for production systems; Adaptable to challenging environment; Gather requirements to define data definitions, transformation logic, and data model logical and physical designs, data flow and process; Take ownership of projects and manage statuses and timelines effectively; Perform data analysis and data profiling against source systems; To be responsible for providing technical guidance / solutions; Unit testing covering positive & negative scenarios Maintain up-to-date JIRA status

Spanbix Technologies is looking for SAP SD Senior Consultant to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

Spanbix Technologies is looking for Power BI Professional to join our dynamic team and embark on a rewarding career journey Responsible for designing, developing, and implementing business intelligence solutions using Power BI, a data visualization and reporting tool from Microsoft Connecting to and integrating data from various sources, including databases, spreadsheets, and cloud services Designing and creating data models, dashboards, reports, and other data visualizations Enhancing existing Power BI solutions to meet evolving business requirements Collaborating with stakeholders to understand their data needs and requirements Building and maintaining data pipelines and ETL processes to ensure data quality and accuracy Developing and implementing security and access control measures to ensure the protection of sensitive data Troubleshooting and resolving issues with Power BI solutions Documenting and communicating solutions to stakeholders Excellent communication, analytical, and problem-solving skills

Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Mumbai) Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Ketto) What do you need for this opportunity? Must have skills required: SQL, Data Analysis, Python, PowerBI, Tableau, Maths, Statistics, Advanced Analytics, Product Management, Product Analyst, Wireframing Ketto is Looking for: Job Description: Product Analyst Growth & Product Management 3 years FullTime Mumbai 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.

The Sales Operations Associate plays a vital role in enhancing the efficiency and effectiveness of the sales team by streamlining sales processes and driving performance improvements. This role also involves providing ongoing operational support and fostering the professional development of sales team. Roles and Responsibilities Key Responsibilities: Sales Process Optimization: Design the workflow and implement processes to improve sales cycle, increasing overall efficiency and productivity. Reporting & Data Preparation: Prepare structured data sets and sales reports for performance tracking and decision-making. Process Documentation: Create and update Standard Operating Procedures (SOPs) within the CRM system to streamline workflows. Sales Goal Management: Track sales targets aligning with organizational objectives. Address and resolve the blockages within the system for smooth sales operations . Sales Tool Oversight: Manage the implementation, integration, and ongoing maintenance of CRM systems and sales analytics tools. Operational Sales Support: Provide required assistance to the sales team to ensure they can perform at their best. Required Skills: Should have minimum 2+ years of experience working into Sales operations Should have hands on experience working into data analysis Hands-on working experience in CRM software (Ex. Salesforce) ,and MS-Excel Excellent communication and leadership skills Ability to adapt and solve problems effectively Should have customer centric approach

Shift: (GMT+05:30) Asia/Kolkata (IST) What do you need for this opportunity? Must have skills required: SQL, Python, Tableau, PowerBI, Data Analysis, Google Analytics, Airflow, People management About the Role We are looking for a highly motivated Senior Manager - Analytics to lead our data and analytics initiatives. This role is ideal for a hands-on leader who is passionate about driving automation, delivering business impact through data, and building scalable data pipelines and analytics solutions. You will manage a team of analysts and leads, collaborate closely with cross-functional teams, and own the charter for analytics automation and strategy. Key Responsibilities Automation & Best Practices: Lead the analytics automation roadmap. Implement and champion best practices across the data lifecycle. Data Engineering & Orchestration: Drive scalable ETL pipelines using tools such as Airflow and dbt, ensuring clean and reliable data flows. Hands-on Development: Write and review Python and SQL code to support automation, advanced analytics, and strategic initiatives. Dashboarding & Reporting: Oversee the implementation of centralized dashboards using Power BI, Tableau, or similar tools to provide actionable insights across the organization. Cross-Functional Collaboration: Partner with GTM, Marketing, Product, and Operations teams to identify analytics needs and deliver impactful solutions. Team Leadership: Manage and mentor a team of 78 members, including Business Analysts and Analytics Leads. Foster a high-performance, collaborative culture. Innovation & AI Tools (Preferred): Experience in developing or integrating AI tools or agents end-to-end is a strong plus. Required Skills & Qualifications 10+ years of experience in Analytics, Data Engineering, or related fields, with 4+ years in a manager / leadership role Strong programming skills in Python and advanced proficiency in SQL Hands-on experience with Airflow and/or dbt for orchestration and data transformation Deep understanding of BI tools (e.g., Power BI, Tableau) and dashboard best practices Proven experience in driving cross-functional projects and influencing stakeholders Excellent problem-solving and analytical skills Ability to thrive in a fast-paced environment with open-ended problems and evolving priorities Comfortable in both strategic planning and hands-on execution roles Experience managing a team with diverse analytics skill sets Prior experience building AI-powered tools/agents is a plus

Position: MIS Analyst Experience: 2 to 5 years of experience in MIS reporting, Sales analysis in a Retail or FMCG sector. Location: Corporate office-Davanagere in Karnataka. Reports To: Director Work Mode: This position is purely work from office. Note: Apply only if you are willing to relocate to Davanagere. Job Overview: This role requires an experienced professional with 2-5 years of experience in data analysis and reporting. The ideal candidate will use Advanced Excel and data visualization tools to generate meaningful dashboards and provide business insights that enhance operational efficiency and customer experience. Develop and manage MIS reports and dashboards, providing accurate and timely data to management and other stakeholders. Role & responsibilities: Data Management and Generate Reporting: Store wise target and achievement using CRM software on Weekly/Month/Quarterly/Half yearly/Annual for all the stores in multiple location. Purchase, Sales and Expenses report using CRM software and POS on Weekly/Month/Quarterly/Half yearly/Annual for all the stores in multiple location. Preparing and Consolidated Daily reports in pertaining to Sales and Cash Flow /Card/ Digital Payment entries of all the stores in multiple location. Preparing PPT for management Business Performance Report (Sales) & Stock Availability Report with the help of CRM & POS for all the stores in multiple location on Weekly. Analysis and Insights: Review and Analysis of various discounts and marketing schemes as prevailing and proposed for various regions with the schemes of local competitors. Perform detailed analysis on sales trends, product performance, and inventory turnover. Identify underperforming stores or products and provide recommendations for improvement. Analyse customer buying patterns and contribute to pricing and promotion strategies. Inventory & Supply Chain Support: Monitor stock levels across all stores to support replenishment planning. Work closely with supply chain and warehouse teams to minimize stock-outs and overstock situations. Analyse Store Sales variances (Price, Qty and Prod. Mix) on the basis of their best month performance. Analyse non-moving stocks & replenish according to their best demanded zone. Analyse the Sell-Thru rate & Stock turnover on stores. Education and Experience: Any Bachelors degree 2 to 5 years of experience in MIS reporting, sales analysis, or business intelligence in a retail or FMCG sector. Skills: Advanced Excel skills such as COUNTIF, SUMIF, HLOOKUP, VLOOKUP, PIVOT TABLE, Conditional Formatting etc. To analyse data and present findings effectively through Pivot tables and Charts. Design, maintain, and automated Dashboards. About company: Chetan Agro and Foods packaging company is based out of North Karnataka, India. It has been established to provide services to the society by manufacturing superior-quality, adulteration-free & preservative-free blended masalas, instant ready mixes, traditionally processed flours, and spice powders. We have started a new business venture Chetan Foods which is a sister company of Chetan Agro and Foods Packaging. Our objective is to open multi-store grocery retail setups using the FOCO & COCO model across Karnataka and in other states. Website: https://chetanfoods.co

Administration Executive will drive company success by managing daily operations and cross-functional challenges, ensuring excellence and a productive work environment.

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference.

Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/ Pyspark languages 1- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 2- Have worked across end to end in model design, development, validation, documentation & deployment. 3- Create great data stories with expertise in robust EDA and statistical inference.

Role: Data Scientist 2 Key responsibilities: 1- Development of Predictions Model using ML algorithms in entire customer journey and life cycle (Acquisition, Behaviour, Collections, Propensity, Marketing, Fraud, etc.) 2- Design and Strategy Development to offer best in class Assets Products to customers. 3- Building Prediction Model using big data from digital signals, alternate data and beyond. 4- Partnering, exploring and expanding solutions with different data providers and Companies. 5- Ownership and Responsibility to lead/manage large scale projects/model Development & Deployment. Skill Sets & key requirements: 1- Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 2- Should have worked in Banking/Fintech domain in Credit/Fraud Risk with strong understanding of Bureau Data & in-house banking Data. 3- Advance Coding skills with at least one of these- Python/SQL/Pyspark languages 4- Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. 5- Have worked across end to end in model design, development, validation, documentation & deployment. 6- Create great data stories with expertise in robust EDA and statistical inference

Role & responsibilities Brand Strategy Development: Help the management develop marketing strategies aligned with business goals and implement them accordingly. Research and identify target audiences and their online behaviours. Develop strategies and tactics to align stock movement with the targets. Stay updated on the latest marketing trends (Digital & Non-digital) and best practices to ensure continuous business growth through digital ads/corporate films/videos Campaign Management: Plan, execute, and optimize marketing campaigns across various channels (Direct marketing, Events Management, digital platforms etc.) in collaboration with the Company's marketing partners Manage and allocate marketing budgets effectively. Supervise digital & other localized marketing activities (Visual Dcor Ideas & POP) at store level. Brand Performance Tracking: Track KPIs such as brand awareness, perception, and market share. Prepare and present regular brand performance reports to leadership Content Creation and Management: Develop & oversee the creation of engaging and high-quality content for various platforms. Ensure consistent brand messaging across all channels. Manage social media presence and content calendars. Data Analysis and Reporting: Track and analyse key performance indicators (KPIs) to measure campaign success. Identify areas for improvement and optimization based on data analysis. Prepare reports and present findings to stakeholders. Team Management: Collaborate with the marketing agencies & other departments to ensure seamless communication and alignment of marketing efforts.

Role & responsibilities Monitor overdue vehicle finance accounts and initiate recovery efforts through calls, emails, and digital platforms. Analyze repayment behaviour and trends to identify high-risk accounts. Collaborate with the field collections team and legal department for follow-ups, repossession, and legal action as needed. Maintain detailed records of all collection activities in the loan management system (LMS). Prepare and present collection performance reports (DPD buckets, roll rates, flow-through) to management. Recommend payment restructuring or settlements for distressed accounts as per policy. Ensure adherence to regulatory norms (RBI guidelines) and internal risk policies. Support automation and digitization of collection processes through tools like dialers, bots, or customer apps. Work closely with cross-functional teams including Risk, Sales, Legal, and Tech to improve collection outcomes. Preferred candidate profile Bachelors degree in finance, Business, or related field (MBA preferred) 2–5 years of relevant experience in vehicle finance / NBFC / fintech collections Familiarity with credit bureau reports (CIBIL, Equifax) and RBI collections framework Interested candidates can send their resume to hr@evfin.co

etermine the design and workout strategy for new projects. Lead the Project lifecycle closely following Governance models. • Identify and resolve issues reported within defines SLAs part of routine maintenance of existing applications built in SharePoint online. • Report extraction and automations to support different metrics, that are maintained in the applications. • Work with Stakeholders on the enhancements in the existing applications. Project Planning, Tracking, & Reporting • Workout budgetary estimates during kick off, after understanding the high-level requirements. • Support the team in project planning activities, identify risks proactively, escalating thru appropriate channels as required and responsible for closely tracking the actual efforts • Communicate regularly the status of Projects, risks that creeps, impediments if any. Design • Familiar with Microsoft Visio, Word to create HLD, LLD, DLD in various stages of SharePoint site development and maintenance. Responsibilities as Tableau Administrator Configure and maintain Tableau Server Software Layer. System Administration (includes site creation, server maintenance/Upgrades/patches). Change management including software, hardware upgrades, patches Monitor server activity/usage statistics to identify possible performance issues/enhancements Partner with business to design tableau KPI scorecards dashboards. Performance tuning / Server management of tableau server environment (clustering, Load balancing). Create/Manage Groups, Workbooks and Projects, Database Views, Data Sources and Data Connections. Proactively communicate with the Customer/Stakeholders to resolve issues and get work done. Set up a governance process around Tableau dashboard processes Create and host tableau extension API Location: This position can be based in any of the following locations: Chennai For internal use only: R000107005

The Data Analyst will collect, process, and analyze data to help drive strategic decisions. They will interpret complex data sets, provide insights to various departments (like Marketing, Sales, Purchase, etc.), and support business performance through data-driven solutions. Key Responsibilities: Collect, clean, and validate data from multiple internal and external sources. Analyze trends, patterns, and correlations in complex data sets. Prepare visualizations, dashboards, and reports using tools like Excel, Power BI, or Tableau. Work with Marketing and Sales teams to understand customer behavior and improve campaigns. Support the Purchase department by analyzing vendor performance, pricing, and market trends. Monitor KPIs (Key Performance Indicators) and track progress toward goals. Provide competitor analysis and benchmarking reports. Identify process improvement opportunities based on data insights. Maintain and update data systems and databases. Ensure data accuracy, integrity, and security. Preferred Qualifications: Knowledge of Python or R for data analysis. Experience in market research or competitive intelligence. Familiarity with ERP systems and CRM tools.

Career Area: Product Support Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you'rejoining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. JOB PURPOSE: To aggregate, correlate and create Caterpillar customer and dealer recommendations using the 5 elements of condition monitoring in order to provide critical suggested actions to help customers lower owning and operating costs, improve availability, and reduce warranty costs. These recommendations will improve customer loyalty, increase enterprise market share, and grow parts and service sales, while reducing the customer's costs through equipment management efficiency. JOB RELATED ACCOUNTABILITY: Provides equipment management services for at least 300 Product Link assets, 50 VIMS assets, or some combination of both. JOB DUTIES: Condition Monitoring Advisors (CMAs) will monitor the elements of SOSSM fluid analysis, equipment inspections, electronic data, repair history and site conditions to provide relevant recommendations as indicated by the data. This includes the following essential duties and responsibilities: Aggregate and correlate the five elements of condition monitoring, where all are available. Maintains working knowledge for each of the condition monitoring five elements with subject matter expertise in at least 3 elements. Provides equipment recommendations to Caterpillar dealers and customers. Uses enabling software tools & systems to prioritize and analyze condition monitoring data inputs. Extracts or is provided data from the appropriate business systems including customer, dealer and contractor sources. Provides information for equipment management lead tracking and resolution. Prepares standard written reports of recommendations for customers and their Caterpillar dealers on a monthly basis. Facilitates ongoing customer meetings with Caterpillar dealers, product groups, JSS and others as needed. Communicates verbal recommendations as required to customers and their Caterpillar dealers. Builds collaborative relationships & acts as a consultant with equipment management personnel. BACKGROUND/EXPERIENCE: 8 - 10 years in product support and/or engineering fields, with demonstrated on-machine troubleshooting experience. Strong c ustomer service/contact experience, communication, and organizational skills are essential to success in this position.Possess the ability to work and provide direction in a team environment, and work with diverse groups of customers and business partners. Position requires initiative and ability to resolve issues either individually or through appropriate team guidance. A degree in engineering, business, marketing and/or equivalent application experience is highly desired. Working knowledge of engines, power train, hydraulic systems, Product Link, VIMS, inspection process, equipment lifecycle planning, SOSSM Services, and the Service Information System is desired. Skill Descriptors Customer Focus: Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and ability to leverage that information in creating customized customer solutions. Level Extensive Experience: Facilitates creation of the 'right' products and services to resolve customer business issues. Fosters strong customer relationships via delivery on commitments, open communication, and on-going feedback/improvement. Advises others on creating customer focused environments in various scenarios. Anticipates customer needs, focusing efforts to proactively meet needs and exceed customer expectations. Measures and observes customer satisfaction levels to ascertain and implement service improvement alternatives. Communicates and models the criticality of customer focus as an organizational strategy. Data Gathering & Analysis: Knowledge of data gathering and analysis tools, techniques, and processes; ability to collect and synthesize data from a variety of stakeholders and sources in an objective manner to reach a conclusion, goal, or judgment. Level Working Knowledge: Follows proper data gathering and analysis processes and policies. Reports problems that arise in the data collection process. Participates in gathering and analyzing an organization's data based on requirements. Documents data from various sources and in various formats. Utilizes basic data collection and evaluation tools and techniques. Service Excellence: Knowledge of customer service concepts and techniques; ability to meet or exceed customer needs and expectations and provide excellent service in a direct or indirect manner. Level Extensive Experience: Anticipates customers' needs and satisfies them proactively. Resolves complex customer complaints or problems. Teaches others how to deliver excellent customer service in a variety of settings. Applies the concept of 'Moments of Truth' to customer service. Participates in developing a variety of effective ways to deal with difficult customers. Recovers from a service failure in a way that enhances customer's esteem of the organization. Consulting: Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external; ability to apply consulting knowledge appropriately. Level Working Knowledge: Explains the requirements, deliverables, costs, and criticalities of the assignment. Participates in developing consulting opportunities or assignments. Uses formal and informal means to keep client informed on progress and issues. Carries out the agreed-upon consulting assignment in a professional manner. Documents client's objectives and project scope. Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment. Level Working Knowledge: Applies an assigned technique for critical thinking in a decision-making process. Identifies, obtains, and organizes relevant data and ideas. Participates in documenting data, ideas, players, stakeholders, and processes. Recognizes, clarifies, and prioritizes concerns. Assists in assessing risks, benefits and consideration of alternatives. Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. Level Extensive Experience: Reviews others' writing or presentations and provides feedback and coaching. Adapts documents and presentations for the intended audience. Demonstrates both empathy and assertiveness when communicating a need or defending a position. Communicates well downward, upward, and outward. Employs appropriate methods of persuasion when soliciting agreement. Maintains focus on the topic at hand. Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations. Level Extensive Experience: Ensures capture of lessons to be learned from a problem-solving effort. Organizes potential problem solvers and leads problem resolution efforts. Uses varying problem-solving approaches and techniques as appropriate. Contributes to standard practices for problem-solving approaches, tools, and processes. Analyzes and synthesizes information and devises alternative resolution strategies. Develops successful resolutions to critical or wide-impact problems. Relationship Management: Knowledge of relationship management techniques; ability to establish and maintain healthy working relationships with clients, vendors, and peers. Level Working Knowledge: Provides prompt and effective responses to client requests and interactions. Monitors client satisfaction levels on a regular basis. Alerts own team to problems in client satisfaction. Differentiates the roles and responsibilities in a business relationship. Works with clients to address critical issues and resolve major problems. Relocation is available for this position.