15 Geospatial Analysis Jobs

Are you prepared to influence the future of climate risk management at J.P. Morgan As a crucial part of the Climate, Nature, and Social Risk team, you'll utilize your data and communication skills to improve our climate and nature risk data capabilities. This role provides a unique chance to contribute to a fast-growing field with significant visibility within the firm. As a Data Associate within the CN&S team, you will be part of the team responsible for managing all aspects of data related to these domains. This includes collaborating with a diverse range of stakeholders, such as business units, vendor organizations, technology teams, data scientists, other JPMC LOBs and applications, and governance and control functions. You will play a key role in planning data requirements, establishing capabilities for data validation, monitoring, access control, reporting, and ensuring data quality. We are looking for a self-starter with a curious mind who is eager to learn and contribute to the firm's efforts in climate, nature, and social initiatives. **Job Responsibilities:** - Work closely with business stakeholders and technology teams to gather, analyze, and translate business requirements into detailed technical specifications. - Integrate and transform data assets across Climate Risk platforms to support analytics and reporting needs. Ensure data is prepared and structured for effective analysis and modeling. - Adhere to robust data control processes and governance practices in line with firm guidelines. - Utilize data analytics and reporting tools to develop and maintain interactive reports and dashboards tailored to the needs of the CN&S team. - Become an expert in datasets used for climate and nature risk management, particularly geospatial data. - Interact with business stakeholders to present test results and research analyses. Build strong relationships to facilitate effective communication and collaboration. **Required Qualifications, Capabilities, and Skills:** - Expertise in data management practices, including ensuring data quality, completeness, and governance. - Knowledge of geospatial datasets, including shapefiles, rasters, and netcdfs. - Experience with GIS software such as QGIS/ArcGIS and/or geospatial analysis in Python/R. - Proficiency in developing and implementing data visualization techniques and tools, using platforms such as Tableau, Business Objects, Alteryx, or similar to create interactive dashboards and reports. - Excellent analytical skills with the ability to perform data mining and processing to extract meaningful insights. - Ability to articulate thoughts clearly and succinctly, both written and verbally. - Energetic, self-motivated, and effective under pressure. Must enjoy the challenge of working in a fast-paced and demanding environment. **Preferred Qualifications, Capabilities, and Skills:** - Previous experience in the financial industry or related field is a bonus. - Understanding and experience operating under Agile methodologies, particularly as part of a product owner team. - Familiarity with risk management practices and insights into Climate, Nature, and Social domains are highly valued.,

Job Description: We are hiring professionals with hands-on experience in Utilities Projects , AutoCAD 3D , and GIS technologies . The ideal candidate will be responsible for working on utility-based projects, especially in the electrical domain , with a strong grasp of AutoCAD and GIS tools. Responsibilities: Work on utility-based (electrical) projects with precision and adherence to quality standards. Develop and manage drawings using AutoCAD 3D . Handle GIS mapping , field maps , and geospatial data. Collaborate on projects using tools like ArcGIS (added advantage). Coordinate with internal teams and ensure timely delivery. Maintain documentation and version control of technical drawings. Communicate effectively across teams and with stakeholders. Experience Required: 1 to 4 years in Utilities Projects with relevant AutoCAD and GIS experience. Key Skills: AutoCAD 3D GIS & Field Maps Utilities Projects (Electrical domain) ArcGIS (Preferred) Excellent verbal and written communication skills. Work Location: Hyderabad To Apply: Please Contact us / Walk-in Directly (Monday to Saturday, 9 AM to 6 PM) Free Job Placement Assistance White Horse Manpower Consultancy Pvt. Ltd. Get placed in Fortune 500 companies. Address: #12, Office 156, 3rd Floor, Jumma Masjid Golden Complex, Jumma Masjid Road, Bangalore - 560051. Contact Numbers: 8884572014 / 7676809765 / 8550878770

You will be responsible for various key tasks as part of this role: Data Management and Analysis: You will develop and implement robust data-enabled project operations, utilizing innovative surveying solutions and data analytics techniques. It will be your responsibility to create and maintain comprehensive dashboards across different project stages to monitor project health, identify trends, and proactively recommend solutions. Collaboration with cross-functional teams to set up surveys on third-party SaaS tools, ensuring alignment with project requirements will also be a key aspect of your role. You will analyze data to identify patterns, trends, and areas for improvement, facilitating data-driven decision-making within the organization. Working closely with the project implementation team to establish data-aligned primary research practices, ensuring the accuracy and relevance of collected data, will also be within your scope. Technology Solutions and Integration: Your role will involve gathering and analyzing complex user requirements, both internal and external, to develop detailed requirements documents for technological solutions. Collaborating with technology partners to create and implement tailored tech solutions, enhancing internal and external project operations, will be one of your responsibilities. Setting up and configuring technological solutions, including project management tools, to optimize efficiency and streamline workflows will also be a part of your duties. Providing technical support and expertise to the team, ensuring the seamless integration of technology into project processes, will be crucial. Project / Program Support: You will conduct training sessions for internal teams and partners in collaboration with the project team, ensuring proper understanding and implementation of systems and processes. Assisting the project team in setting up systems for tracking project metrics, data capture, and correction, ensuring the accuracy and integrity of project data, will be an essential part of your role. Collaboration with the team to provide technological expertise, offering support and guidance from a project implementation perspective, will also be required. Ensuring the organization follows best practices in cybersecurity to protect sensitive data and staying up-to-date on technology compliance regulations to ensure organizational adherence to them will be your responsibility. Communications/ Soft Skills: Strong communication and interpersonal skills will be essential for this role. You should have the ability to translate complex tech concepts for non-technical staff. Commitment to the mission and values of the non-profit organization, ability to work independently and in a team-oriented, collaborative environment will be important attributes. Additionally, passion for environmental conservation and sustainability initiatives is a significant plus. Qualifications: To be considered for this role, you should have a Bachelor's or master's degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related field. A minimum of 7-8 years of experience in IT Management, Software engineering, Application design and development, Systems implementation and rollout, etc., is required. Proven experience in data management, data analysis, and implementation of technology solutions in project settings (Excel, Google Sheets, PowerBI, Tableau, etc.) is essential. Expertise in GIS software (e.g., ArcGIS, QGIS) and geospatial analysis, proficiency in data analytics tools (Python/R), project management software, strong analytical mindset, attention to detail, and problem-solving skills are also necessary for this role. Excellent communication skills and the ability to work collaboratively in a cross-functional team environment are key attributes that we are looking for in potential candidates.,

At PwC, our team in data and analytics engineering focuses on utilizing advanced technologies and techniques to design and develop robust data solutions for clients. You will be instrumental in the process of transforming raw data into actionable insights, facilitating informed decision-making, and propelling business growth. If you are in data science and machine learning engineering at PwC, your primary focus will be on harnessing advanced analytics and machine learning techniques to extract insights from extensive datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to address complex business challenges. In this role, you will have a vital role in organizing and maintaining proprietary datasets, converting data into insights and visualizations that steer strategic decisions for both our clients and the firm. Your collaboration will be key with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams to develop impactful, commercially relevant insights. These insights will be integrated into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement initiatives. Key Skills Preferred: - Demonstrates in-depth abilities and a successful track record in managing efforts to identify and address client needs. - Work as a crucial member of a team of Retail and Consumer data scientists, analyzing large, complex datasets to reveal insights on consumer sentiment, future business trends, challenges, consumer-related events, business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Assist in the discovery of innovative datasets that contribute to the firm's competitive edge among rivals and clients. - Aid in constructing predictive models and data-driven tools. - Plan and execute experiments such as A/B testing, market basket analysis to evaluate the effectiveness of new approaches and drive continuous improvement. - Collaborate with the US team to translate analytical findings into actionable recommendations and compelling narratives. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to facilitate self-service analytics and decision-making. - Stay updated on industry trends, customer behavior patterns, and emerging technologies in the consumer and retail sector. - Proficiency in managing high-performing data science and commercial analytics teams. - Strong skills in SQL and Alteryx, and proficiency in Python and/or R for data manipulation and modeling. - Experience in applying machine learning or statistical techniques to real-world business challenges. - Sound understanding of key retail and consumer metrics such as CLV, churn, sales velocity, basket size, etc. - Ability to explain complex data concepts to non-technical stakeholders effectively. - Familiarity with retail and consumer datasets like Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail context. - Previous involvement in pricing optimization, inventory forecasting, or omnichannel analytics.,

The GIS Specialist will play a crucial role in integrating geographic information systems into urban design initiatives within our Planning and Urban Design team. Your responsibilities will include providing technical expertise in handling large geospatial datasets, conducting spatial data analysis, and visualization to support various projects and guide design strategies. You should possess skills in satellite imagery interpretation, spatial data visualization, and contribute technical insights to assist internal consultants, the broader Dar Group, and external collaborators. Your duties will involve: Data Collection Processing: - Collect, process, and validate geographic data from various sources, ensuring accuracy and integrity. - Maintain scalable, secure, and compliant data workflows. Advanced Spatial Analysis: - Conduct complex spatial analyses to identify trends and spatial relationships for urban planning, infrastructure design, and landscape strategies. - Utilize spatial statistics, geospatial analysis, and predictive modeling techniques for project-specific challenges. Mapping, Visualization, and Web-based Tools: - Prepare high-quality GIS mapping, presentations, technical drawings, and other deliverables in a timely manner. - Develop and manage interactive web maps, story maps, and 3D GIS applications using tools like ArcGIS Online and Enterprise. - Oversee GIS activities planning, data flow management, distribution, and geospatial database design and development. - Maintain accurate geospatial documentation and support in complex project work planning. Mandatory Qualifications and Work Experience Required: - Bachelor's degree or postgraduate qualification in geographical information systems (GIS), geography, or computer sciences. - Minimum of 3 years of work experience. - Proficiency in ESRI product suite, including ArcGIS Online, Enterprise, and ArcGIS Pro. - Experience in creating web maps, story maps, and 3D GIS web apps. - Familiarity with Rhino/Grasshopper, Python programming, and strong analytical skills. - Extensive experience with Raster data, satellite imagery, image classification, and attention to detail. Good to Have: - Understanding of Geo statistics. - Knowledge of programming languages such as Python, JavaScript, and basic scripting for data processing and test automation. - Willingness to learn and enhance programming skills further.,

At PwC, we are focused on leveraging advanced technologies and techniques in data and analytics engineering to design and develop robust data solutions for our clients. As a member of our team, you will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In the field of data science and machine learning engineering at PwC, you will be responsible for leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision-making. Your work will involve developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. Your role will also involve organizing and maintaining proprietary datasets, as well as transforming data into insights and visualizations that drive strategic decisions for our clients and the firm. You will collaborate closely with industry leaders and cross-functional teams to develop high-impact insights that can be used in various aspects such as thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Preferred knowledge and skills for this role include the ability to manage efforts in identifying and addressing client needs, maintaining and analyzing large, complex datasets to uncover insights, supporting the identification of new datasets, building predictive models, designing and conducting experiments, translating analytical findings into actionable recommendations, developing dashboards and reports, staying up to date with industry trends, managing data science and commercial analytics teams, proficiency in SQL, Alteryx, Python, and/or R, applying machine learning and statistical techniques, explaining complex data concepts to non-technical stakeholders, working with industry-specific datasets and vendors, knowledge of geospatial or time-series analysis, and prior experience in commercial analytics and insights.,

You will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients at PwC. Your role will involve transforming raw data into actionable insights to enable informed decision-making and drive business growth. Additionally, you will work on developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. Your responsibilities will include organizing and maintaining proprietary datasets, transforming data into insights and visualizations to drive strategic decisions for clients and the firm. You will collaborate closely with industry leaders and cross-functional teams to develop high-impact insights for thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. As a critical member of the data science team, you will analyze large, complex datasets to uncover insights related to Industrial Products. You will also support the identification of new datasets to differentiate the firm and assist in building predictive models and data-led tools. Moreover, you will design and conduct experiments to measure the effectiveness of new approaches and partner with teams to translate analytical findings into actionable recommendations and compelling stories. It is essential to develop dashboards and reports using tools like Tableau, Power BI, or Looker for self-service analytics and decision-making. Staying updated on industry trends, customer behavior patterns, and emerging technologies is crucial in this role. Preferred skills include managing data science and commercial analytics teams, proficiency in SQL, Alteryx, Python, and/or R for data manipulation and modeling, applying machine learning or statistical techniques to business problems, explaining complex data concepts to non-technical stakeholders, working with industry-specific datasets and vendors, knowledge of geospatial or time-series analysis, and experience with commercial analytics and insights.,

At PwC, we focus on leveraging advanced technologies and techniques to design and develop robust data solutions for our clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. As part of the data science and machine learning engineering team, you will extract insights from large datasets and drive data-driven decision making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. Your role will involve organizing and maintaining proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for our clients and the firm. You will collaborate closely with industry leaders and cross-functional teams to develop high-impact insights for thought leadership, media engagement, client pursuits, and delivery enablement. Preferred Knowledge And Skills: - Manage efforts with identifying and addressing client needs, maintaining and analyzing large, complex datasets to uncover insights. - Identify new, cutting-edge datasets to differentiate the firm amongst competitors and clients. - Build predictive models, design and conduct experiments, and translate analytical findings into actionable recommendations. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics. - Stay updated on industry trends, customer behavior patterns, and emerging technologies. - Experience managing high-performing data science and commercial analytics teams. - Proficiency in SQL, Alteryx, Python, and/or R for data manipulation and modeling. - Apply machine learning and statistical techniques to real-world business problems. - Explain complex data concepts to non-technical stakeholders. - Work with industry-specific datasets and vendors, and knowledge of geospatial or time-series analysis. - Prior experience with commercial analytics and insights.,

We are looking for a highly skilled Workday Finance Consultant to provide support and optimization for Workday Financial Management applications, specifically focusing on Record to Report, Contract to Cash, and Financial Integrations. The ideal candidate will possess a strong expertise in Workday Finance configuration, troubleshooting, and business process improvements. Your responsibilities will include: - Expertise in Financial Modules like Contract to Cash and Record to Report - System Configuration & Support: Configuring and maintaining Workday Financials, including business processes, security, and reporting. - Business Process Optimization: Collaborating with finance teams to enhance workflows, automate processes, and drive efficiency. - Integration & Data Management: Supporting integrations with third-party systems, ensuring data accuracy, and troubleshooting issues. - Workday Releases & Enhancements: Analyzing, testing, and implementing new Workday features, updates, and enhancements. - Reporting & Analytics: Developing custom reports and dashboards using Workday Reporting and Prism Analytics. - Issue Resolution & User Support: Providing functional and technical support, troubleshooting issues, and training end users. - Governance & Compliance: Ensuring system controls align with financial regulations, audits, and company policies. - Leading the development and implementation of geospatial analysis projects using Workday tools. - Overseeing the integration of Workday Studio and Workday Integrations to ensure seamless data flow. - Providing technical expertise in creating and maintaining Workday (Technical) Reports. - Collaborating with finance teams to develop and optimize Workday (Finance) models. - Ensuring data accuracy and integrity in all geospatial and Workday-related tasks. - Developing and maintaining documentation for all geospatial and Workday processes. - Conducting regular audits and assessments to identify areas for improvement. - Training and supporting team members on the use of Workday tools and geospatial analysis techniques. - Monitoring and analyzing geospatial data to provide actionable insights for business decisions. - Working closely with stakeholders to understand their requirements and deliver customized solutions. - Staying updated with the latest trends and advancements in geospatial analysis and Workday technologies. - Contributing to the continuous improvement of processes and methodologies within the team. - Ensuring compliance with company policies and industry regulations in all tasks. Qualifications: - Strong technical skills in Workday Studio, Workday Integrations, and Workday (Technical) Reports. - Experience in developing and optimizing Workday (Finance) models. - Expertise in geospatial analysis and data visualization techniques. - Excellent problem-solving and analytical skills. - Proficiency in creating and maintaining technical documentation. - Strong communication and collaboration abilities. - Keen eye for detail and commitment to data accuracy and integrity. - Adaptability and openness to learning new technologies and methodologies. - Ability to work independently and as part of a team. - Proactive approach to identifying and addressing issues. - Commitment to continuous improvement and professional development. - Understanding of industry regulations and compliance requirements. - Effective training and support for team members in technical skills. Certifications Required: - Workday Record to Report - Workday Contract to Cash - Workday Integrations Core and Studio,

Join a multidisciplinary team of scientists, engineers, and mathematicians developing catastrophe models for the insurance and reinsurance industries. At Verisk, we are leading the way in generating new solutions based on high-resolution numerical weather models to simulate the full distribution of possible extreme weather events such as cyclones, storm surge, convective storms, and flooding consistent with a changing climate. We are seeking an oceanographer or atmospheric scientist to advance the development, support, and delivery of the hazard component of storm surge peril models. Your work will inform risk and capital management decisions globally. Your key responsibilities will include providing domain knowledge and numerical modeling expertise for capturing storm surge processes. You will contribute to pioneering storm surge research by utilizing innovative scientific and statistical methods for model development, validation, and productization for global clients. Additionally, you will be responsible for developing and maintaining the codebase, applying version control best practices such as Git. The qualifications for this role include hydrodynamic numerical modeling expertise with a focus on atmospheric phenomena. Experience in running Delft3D FM is considered a plus. You should have a strong understanding of the balance between model accuracy and computational cost, advanced programming skills (preferably in Python), expertise in a Linux-based high-performance computing environment, proficiency in version controlling systems like Git, and excellent written and verbal communication skills to convey technical concepts clearly. A solutions-oriented mindset with a focus on delivering scalable, high-quality solutions is essential, along with proficiency in model calibration techniques, validating models against historical datasets, quality checking observational datasets, quantifying uncertainty, geospatial analysis, and a Ph.D. in oceanography or atmospheric science, or a related field; or Masters with 3+ years of relevant experience. Verisk, a leading data analytics and technology partner to the global insurance industry, has been empowering communities and businesses to make better decisions on risk for over 50 years. Join us and build a rewarding career with work flexibility, support, coaching, and training. Verisk values inclusivity, diversity, learning, caring, and results, making it a Great Place to Work with a focus on workplace culture and innovation. Join our team of 7,000 people to help us translate big data into big ideas and create a better tomorrow for future generations. Verisk offers a range of businesses including Underwriting Solutions, Claims Solutions, Property Estimating Solutions, Extreme Event Solutions, Specialty Business Solutions, Marketing Solutions, Life Insurance Solutions, and Verisk Maplecroft, providing intelligence on sustainability, resilience, and ESG to strengthen people, businesses, and societies. Verisk Analytics is an equal opportunity employer. To explore career opportunities with us, visit our careers page at https://www.verisk.com/company/careers/.,

You will be responsible for leading the analysis and interpretation of geospatial data to support business objectives and decision-making processes. Your role will involve overseeing the implementation and testing of SAP EHS systems to ensure compliance and efficiency. Collaboration with cross-functional teams will be essential to integrate geospatial insights into broader business strategies. You are expected to provide technical expertise and guidance on geospatial technologies and SAP EHS systems. Your duties will include developing and maintaining geospatial databases, ensuring data accuracy, and integrity. Regular assessments of geospatial data quality should be conducted, and improvements implemented as needed. Designing and executing testing plans for SAP EHS systems to ensure optimal performance will be part of your responsibilities. Monitoring and reporting on the progress of geospatial projects and initiatives are crucial. You will facilitate training sessions for team members on geospatial tools and SAP EHS systems. Ensuring that all geospatial analysis aligns with company policies and regulatory requirements is a key aspect of the role. Utilization of advanced geospatial software to create detailed maps and visualizations is expected. Supporting the development of innovative geospatial solutions to enhance business operations will be part of your tasks. Your qualifications should include a strong background in geospatial analysis and SAP EHS systems, proficiency in geospatial software and tools, excellent problem-solving and analytical skills, experience in leading geospatial projects and initiatives, strong communication and collaboration abilities, keen attention to detail and data accuracy, and adaptability to a hybrid work model and day shift schedule. Your role will involve driving continuous improvement in geospatial data management and analysis processes.,

At PwC, the focus of individuals in data and analytics engineering is to utilize advanced technologies and techniques for designing and developing robust data solutions for clients. They are instrumental in converting raw data into actionable insights, facilitating informed decision-making, and propelling business growth. Those specializing in data science and machine learning engineering at PwC concentrate on employing advanced analytics and machine learning techniques to extract insights from extensive datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to tackle intricate business challenges. You will have a significant role in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that steer strategic decisions for both clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams, you will assist in developing impactful, commercially relevant insights to integrate into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Preferred Knowledge and Skills: Demonstrates in-depth abilities and a proven track record of success in managing efforts to identify and address client needs: - As a critical member of a team of Retail and Consumer data scientists, you will maintain and analyze large, complex datasets to uncover insights related to consumer sentiment, future business trends/challenges, cyclical consumer events (e.g., holidays, back-to-school, Super Bowl), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Assist in identifying new, cutting-edge datasets to enhance the firm's differentiation among competitors and clients. - Assist in building predictive models and data-led tools. - Design and implement experiments (e.g., A/B testing, market basket analysis) to assess the effectiveness of new approaches and drive continuous improvement. - Collaborate with the US team to translate analytical findings into actionable recommendations and compelling narratives. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Stay abreast of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Experience in managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills, proficiency in Python and/or R for data manipulation and modeling. - Experience in applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Previous work involving pricing optimization, inventory forecasting, or omnichannel analytics.,

At PwC, the focus of individuals in data and analytics engineering is on utilizing advanced technologies and techniques to design and develop robust data solutions for clients. You will be instrumental in the transformation of raw data into actionable insights, facilitating informed decision-making and fostering business growth. As a member of the data science and machine learning engineering team at PwC, your primary responsibility will be to utilize advanced analytics and machine learning techniques to extract insights from extensive datasets, thereby driving data-driven decision-making. Your tasks will include developing predictive models, conducting statistical analysis, and creating data visualizations to address complex business challenges. Your role will be essential in the organization and maintenance of proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for both clients and the firm. You will collaborate closely with industry leaders and various cross-functional Health Industries advisory, tax, and assurance professional teams to generate high-impact, commercially relevant insights. These insights will be integrated into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement efforts. Preferred Knowledge And Skills: You are expected to demonstrate in-depth abilities and a proven track record of successfully managing initiatives aimed at identifying and addressing client needs. Some of the key responsibilities include: - Contributing to the identification of cutting-edge healthcare data sources that differentiate the firm from competitors and enhance value for clients. - Designing and executing experiments to measure the effectiveness of healthcare initiatives and drive continuous improvement. - Collaborating with the US team, healthcare business stakeholders, and client teams to translate analytical findings into actionable recommendations and compelling narratives supporting decision-making. - Developing dashboards and reports using tools like Tableau, Power BI, or Looker to facilitate self-service analytics, stakeholder engagement, and regulatory reporting. - Staying informed about industry trends, patient and provider behavior patterns, and emerging technologies influencing the healthcare sector. - Managing high-performing data science and commercial analytics teams with deep healthcare domain knowledge. - Demonstrating proficiency in SQL and Alteryx, as well as Python and/or R for healthcare data manipulation, modeling, and visualization. - Applying machine learning or statistical techniques to real-world healthcare challenges, such as cost forecasting, population health management, or precision medicine. - Possessing a solid understanding of key healthcare metrics and experience with healthcare datasets from various sources. - Knowledge of geospatial or time-series analysis in a healthcare context, such as site-of-care optimization and treatment seasonality. - Previous involvement in pricing strategy, access and reimbursement modeling, value-based care analytics, or health equity assessment. In summary, as a member of the data and analytics engineering team at PwC, you will play a vital role in leveraging advanced technologies to develop data solutions, extract insights, and drive data-driven decision-making in the healthcare sector. Your contributions will be crucial in addressing complex business challenges and providing strategic support to clients and the firm.,

At PwC, the focus of individuals in data and analytics engineering is on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Playing a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will concentrate on leveraging advanced analytics and machine learning techniques to extract insights from large datasets, driving data-driven decision making. You will be involved in developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. You will be crucial in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams to develop high-impact, commercially relevant insights for thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Demonstrates in-depth level abilities and/or a proven record of success in managing efforts with identifying and addressing client needs: - As a critical member of a team of Retail and Consumer data scientists, maintaining and analyzing large, complex datasets to uncover insights that inform topics such as consumer sentiment, future business trends/challenges, insights around cyclical consumer-related events (e.g., holidays, back-to-school, Super Bowl, etc.), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Supporting in the identification of new, cutting-edge datasets that add to the firm's differentiation amongst competitors and clients. - Supporting in building predictive models and data-led tools. - Designing and conducting experiments (A/B testing, market basket analysis, etc.) to measure the effectiveness of new approaches and drive continuous improvement. - Partnering with the US team to translate analytical findings into actionable recommendations and compelling stories. - Developing dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Staying up to date and ahead of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Having experience managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills and proficiency in Python and/or R for data manipulation and modeling. - Experience applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size, etc.). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Prior work with pricing optimization, inventory forecasting, or omnichannel analytics.,

We are currently seeking experienced GIS Analysts (3-7 years) with expertise in geospatial data correction, editing, reporting, schema mapping, calibration, and as-builting centerlines for pipelines. The successful candidates will play a crucial role in ensuring accurate and reliable geographic information systems (GIS) data for our pipeline projects. The primary responsibility of the GIS Analyst will be to analyze, interpret, and manipulate geospatial data to support pipeline operations and decision-making processes. Responsibilities: - Perform geospatial data correction and editing tasks, including reviewing and verifying data accuracy, resolving data inconsistencies, and updating database records as necessary. - Collaborate with cross-functional teams to interpret and analyze geospatial data, ensuring compliance with project requirements, industry standards, and regulatory guidelines. - Generate reports and visualizations using GIS software tools to communicate data findings, trends, and insights to project stakeholders. - Conduct schema mapping exercises to ensure seamless data integration across various GIS platforms and systems. - Assist in data calibration activities, including aligning GIS data with field survey data and addressing discrepancies or inconsistencies. - Support the as-builting process by accurately capturing and incorporating pipeline centerline data, construction updates, and related information into GIS databases. - Collaborate with field personnel, surveyors, and engineers to ensure the accurate representation of pipeline assets and associated geospatial attributes. - Participate in the development and maintenance of GIS data standards, procedures, and best practices to ensure data quality and consistency. - Stay updated on industry trends, advancements, and emerging technologies related to GIS analysis and geospatial data management. - Provide training and guidance to other GIS analysts and other team members as needed. Qualifications: - Bachelor's degree in Geography, Geomatics, GIS, or a related field. - Proven experience (min of 3 years) as a GIS Analyst, with a focus on geospatial data correction, editing, reporting, schema mapping, calibration, and as-builting for pipelines. - Proficiency in GIS software applications such as ArcGIS Pro, QGIS, or similar platforms. - Strong understanding of geospatial data principles, including spatial analysis, data modeling, and data quality assessment. - Familiarity with pipeline centerline data management and the as-builting process. Solid knowledge of GIS database management, including data extraction, transformation, and loading (ETL) procedures. - Experience in generating reports, visualizations, and maps using GIS tools and software. - Strong analytical and problem-solving skills, with the ability to interpret complex geospatial data and provide accurate insights. - Excellent attention to detail and the ability to work with precision in a fast-paced environment. - Effective communication skills, both written and verbal, with the ability to collaborate with multidisciplinary teams and present findings to stakeholders. - Proficiency in scripting or programming languages (Python, SQL) is a plus. - Familiarity with industry standards and best practices, such as PODS (Pipeline Open Data Standard) or similar data models, is advantageous. If you are a skilled and detail-oriented GIS Analyst with experience in geospatial data correction, editing, reporting, schema mapping, calibration, and as-builting for pipelines. We invite you to apply for this position. Join our team and contribute to the accurate and efficient management of geospatial data for our pipeline projects.