8 Decisionmaking Processes Jobs

As a Statistical Methodologist at our climate tech startup, you will design and implement advanced statistical methodologies to enhance experiment design, model calibration, and validation of process-based models. You will be responsible for applying both frequentist and Bayesian approaches to quantify uncertainty and develop predictive models. Collaborating with interdisciplinary teams, including environmental modelers, agronomists, and data scientists, you will integrate statistical insights into decision-making processes. Your key responsibilities will include conducting spatial modeling and geostatistical analyses for large-scale agricultural datasets, developing statistical techniques to support Monitoring, Reporting, and Verification (MRV) frameworks for carbon projects, and ensuring compliance with carbon protocols (VM0042, VMD0053). Your expertise in automating and optimizing statistical workflows using Python will be crucial in this role. To qualify for this position, you should hold a Master's or Ph.D. in Statistics, Data Science, Environmental Science, Agronomy, or a related field. Strong proficiency in frequentist and/or Bayesian statistics, experimental design, model validation, and Python for statistical computing is required. Your analytical, problem-solving, and communication skills will enable you to produce high-quality reports and scientific publications. Preferred qualifications include experience in spatial modeling, geostatistics, an understanding of agriculture, soil science, and ecosystem dynamics, as well as hands-on experience with process-based models such as DayCent and DNDC. Familiarity with carbon credit methodologies (VM0042, VMD0053) will be an added advantage. In return, we offer a competitive salary and benefits package, including ESOP, the opportunity to play a key role in shaping our fast-growing startup, support for learning and professional development, and a culture of undogmatic, unbureaucratic creativity and collaboration. Join our small, ambitious, and international team to make a meaningful impact in the climate tech industry.,

As a member of our 2200+ global team at Entrata, you will embody intelligence and adaptability, actively engaging from top executives to part-time employees. With offices located across Utah, Texas, India, Israel, and the Netherlands, Entrata is a dynamic blend of startup innovation and established stability, evident in our transparent communication values and executive town halls. Our product isn't just desirable; it's essential to the industry. At Entrata, we are passionate about refining living experiences, upholding collective excellence, embracing boldness and resilience, and prioritizing different perspectives, all with the goal of crafting a better world to live in. We are currently looking for a data-driven and detail-oriented HR Analyst to join our team. The ideal candidate for this role will possess 5-8 years of experience in HR analytics, HRMS systems, and workforce reporting. Expertise in various HRMS platforms such as DOMO, ADP, and Ascent is highly desirable. In this position, you will be responsible for analyzing HR data, generating reports, and supporting workforce planning initiatives to optimize talent management and decision-making processes. Key Responsibilities: - Analyze HR data from multiple sources, including HRMS and Ascent Leave Management System. - Create and maintain dashboards, reports, and workforce metrics to provide actionable insights on DOMO. - Track and report on headcount, attrition, hiring trends, leave management, and employee engagement. - Ensure data accuracy and integrity across HR platforms. - Utilize the Ascent Leave Management System effectively for accurate leave tracking and reporting. - Identify automation opportunities to enhance HR data collection and reporting processes. - Collaborate with HR and business leaders to offer data-driven recommendations. - Support HR policy development by providing analytical insights on workforce trends. - Ensure HR data compliance with company policies and local labor regulations. - Stay abreast of HR technology trends and industry best practices to enhance HR analytics capabilities. Minimum Qualifications: - Bachelor's degree in Human Resources, Business Administration, Data Analytics, or a related field. - 5-8 years of experience in HR analytics, HRMS systems, and workforce reporting. - Hands-on experience with DOMO. - Proficiency in Excel, Google Suite, and data visualization tools. - Strong analytical, problem-solving, and communication skills. If you are looking for a great place to work and have a passion for data-driven HR analytics, we invite you to join our team at Entrata and be a part of our mission to create a better world to live in.,

As a Finance & Pricing Specialist at Siemens, you will play a crucial role in driving the financial strategy and pricing policy for international business. Your analytical mindset will be key in identifying root causes of challenges and implementing effective pricing strategies to enhance business performance. Your excellent presentation and communication skills will enable you to collaborate effectively with various stakeholders and contribute to the growth of the organization. Your responsibilities will include: - Managing sales and profitability for an international product group - Monitoring and controlling key business figures within cross-functional teams - Collaborating with Product Managers to develop and present products to internal stakeholders - Tracking product group performance and implementing necessary actions - Developing business cases for strategic portfolio decisions - Supporting Product Management colleagues in interpreting and presenting business figures - Implementing pricing policies and processes, including special price requests and pricing analytics - Enforcing proper pricing policy and methodology in regional sales companies - Managing the annual planning cycle for price setting - Gathering market and competitor feedback on pricing - Supporting regional sales companies in utilizing pricing analytics tools To excel in this role, you should have: - A Bachelor's Degree in Business, Finance, or Economics - Several years of pricing experience, preferably in the low voltage product market or related industries - Experience in working within a complex global organizational structure - Knowledge of SAP and willingness to learn E-commerce platform tools - Fluent English proficiency - Strong analytical skills and decision-making abilities - Team player mindset with a proactive and results-driven approach - Self-motivation and initiative in driving commercial issues on a global scale In return, Siemens offers: - Flexible mobile working policy for work-life balance - Competitive compensation and benefits - Values-driven work culture promoting diversity and inclusion - Opportunities for career progression and continuous learning The recruitment process includes CV screening, recruiter sessions, business interviews, and an offer stage. Join Siemens to #TransformTheEveryday and contribute to a better tomorrow through your unique identity and perspective.,

As an intern at Rocksensor (RKS), you will be responsible for reconciling bank statements and credit card transactions to ensure accuracy and completeness. Additionally, you will collaborate with cross-functional teams to gather financial information and support decision-making processes. Rocksensor (RKS) is a pioneer specializing in process instrumentation, research and development, and manufacturing of industrial automation equipment. The company provides highly precise pressure sensors and transmitters, flow meters, level transmitters, and temperature transmitters with a prime focus on helping clients efficiently and safely run complex industrial processes. Headquartered in Switzerland, Rocksensor (RKS) has a global presence in countries such as the US, Russia, South Korea, Italy, Germany, Singapore, Malaysia, Morocco, China, Taiwan, Australia, UAE, Brazil, and India. The company serves clients from major industries including oil and gas, petrochemicals, pharmaceuticals, FMCG, automobiles, water, cement, metal & mining, and the power industry encompassing nuclear, thermal, hydro, and solar thermal sectors.,

The responsibilities for this role include executing discussions with the business to thoroughly understand their requirements. You will be analyzing and mapping Business Requirement Definitions (BRD/FRD) for clarity and accuracy. Additionally, you will assist in designing existing business processes using automation technologies (such as AI/ML) to increase efficiency, productivity, and quality organization-wide. Furthermore, you will be organizing the implementation of business process re-engineering strategies and utilizing process modelling, data analytics, and change management techniques to achieve significant and sustained improvements in business performance. You will also be exploring new methodologies and technologies for process innovation and seamless integration. In this role, you will be mapping technology requirements, identifying gaps, and supporting the proposal of optimized solutions for streamlined operations. Utilizing visualizations and analysis to empower informed decisions will be a key aspect of your responsibilities. You will also be expected to extract actionable insights from large datasets, supporting strategic decision-making processes. The educational qualification required for this position is a BE / B Tech / MBA in Technology, Computer Science, Information Systems, or General Management.,

You will be responsible for conducting discussions with the business to thoroughly understand their requirements. Your key tasks will involve analyzing and mapping Business Requirement Definitions (BRD/FRD) to ensure clarity and accuracy. You will also play a crucial role in designing existing business processes using automation technologies such as AI/ML. Your focus will be on executing strategies that aim to enhance efficiency, productivity, and quality across the organization. As part of your responsibilities, you will be involved in organizing the implementation of business process re-engineering strategies. This will require you to leverage process modeling, data analytics, and change management techniques to drive significant and sustained improvements in business performance. Furthermore, you will be expected to explore new methodologies and technologies for process innovation and seamless integration. You will also need to map technology requirements, identify gaps, and propose optimized solutions to streamline operations effectively. In this role, you will utilize visualizations and analysis to empower informed decision-making processes. Your ability to extract actionable insights from large datasets will be crucial in supporting strategic decision-making within the organization. To qualify for this position, you must hold an educational background such as BE/B Tech/MBA in Technology, Computer Science, Information Systems, or General Management.,

We are looking for a highly motivated and experienced Data and Analytics Senior Architect to lead our Master Data Management (MDM) and Data Analytics team. As the Data and Analytics Architect Lead, you will be responsible for defining and implementing the overall data architecture strategy to ensure alignment with business goals and support data-driven decision-making. Your role will involve designing scalable, secure, and efficient data systems, including databases, data lakes, and data warehouses. You will evaluate and recommend tools and technologies for data integration, processing, storage, and analytics while staying updated on industry trends. You will lead a high-performing team, fostering a collaborative and innovative culture, and ensuring data integrity, consistency, and availability across the organization. You will manage the existing MDM solution and data platform based on Microsoft Data Lake Gen 2, Snowflake as the DWH, and Power BI managing data from core applications. Additionally, you will drive further development to handle additional data and capabilities to support our AI journey. The ideal candidate will possess strong leadership skills, a deep understanding of data management and technology principles, and the ability to collaborate effectively across different departments and functions. **Principle Duties and Responsibilities:** **Team Leadership:** - Lead, mentor, and develop a high-performing team of data analysts and MDM specialists. - Foster a collaborative and innovative team culture that encourages continuous improvement and efficiency. - Provide technical leadership and guidance to the development teams and oversee the implementation of IT solutions. **Architect:** - Define the overall data architecture strategy, aligning it with business goals and ensuring it supports data-driven decision-making. - Identify, evaluate, and establish shared enabling technical capabilities for the division in collaboration with IT to ensure consistency, quality, and business value. - Design and oversee the implementation of data systems, including databases, data lakes, and data warehouses, ensuring they are scalable, secure, efficient, and cost-effective. - Evaluate and recommend tools and technologies for data integration, processing, storage, and analytics, staying updated on industry trends. **Strategic Planning:** - Develop and implement the MDM and analytics strategy aligned with the overall team and organizational goals. - Work with the Enterprise architect to align on the overall strategy and application landscape to ensure MDM and data analytics fit into the ecosystem. - Identify opportunities to enhance data quality, governance, and analytics capabilities. **Project Management:** - Oversee project planning, execution, and delivery to ensure timely and successful completion of initiatives. - Monitor project progress and cost, identify risks, and implement mitigation strategies. **Stakeholder Engagement:** - Collaborate with cross-functional teams to understand data needs and deliver solutions that support business objectives. - Serve as a key point of contact for data-related inquiries and support requests. - Develop business cases and proposals for IT investments and present them to senior management and stakeholders. **Data/Information Governance:** - Establish and enforce data/information governance policies and standards to ensure compliance and data integrity. - Champion best practices in data management and analytics across the organization. **Reporting and Analysis:** - Utilize data analytics to derive insights and support decision-making processes. - Document and present findings and recommendations to senior management. **Knowledge, Skills and Abilities Required:** - Bachelor's degree in computer science, Data Science, Information Management, or a related field; master's degree preferred. - 10+ years of experience in data management, analytics, or a related field, with at least 2 years in a leadership role. - Strong knowledge of master data management concepts, data governance, data technology, and analytics tools. - Proficiency in data modeling, ETL processes, database management, big data technologies, and data integration techniques. - Excellent project management skills with a proven track record of delivering complex projects on time and within budget. - Strong analytical, problem-solving, and decision-making abilities. - Exceptional communication and interpersonal skills. - Team player, result-oriented, structured, with attention to detail and a strong work ethic. **Special Competencies required:** - Proven leader with excellent structural skills, good at documenting and presenting. - Strong executional skills to make things happen, not just generate ideas. - Experience in working with analytics tools and data ingestion platforms. - Experience in working with MDM solutions and preferably TIBCO EBX. - Experience in working with Jira/Confluence. **Additional Information:** - Office, remote, or hybrid working. - Ability to function within variable time zones. - International travel may be required.,

We are looking for a highly motivated and experienced Data and Analytics Senior Architect to lead our Master Data Management (MDM) and Data Analytics team. As the Architect Lead, you will be responsible for defining and implementing the overall data architecture strategy to ensure alignment with business goals and support data-driven decision-making. Your role will involve designing scalable, secure, and efficient data systems, including databases, data lakes, and data warehouses. You will evaluate and recommend tools and technologies for data integration, processing, storage, and analytics while staying updated on industry trends. Additionally, you will lead a high-performing team, foster a collaborative and innovative culture, and ensure data integrity, consistency, and availability across the organization. Our existing MDM solution is based on Microsoft Data Lake gen 2, Snowflake as the DWH, and Power BI managing data from most of our core applications. You will be managing the existing solution and driving further development to handle additional data and capabilities, as well as supporting our AI journey. The ideal candidate will possess strong leadership skills, a deep understanding of data management and technology principles, and the ability to collaborate effectively across different departments and functions. **Principle Duties and Responsibilities:** **Team Leadership:** - Lead, mentor, and develop a high-performing team of data analysts and MDM specialists. - Foster a collaborative and innovative team culture that encourages continuous improvement and efficiency. - Provide technical leadership and guidance to the development teams and oversee the implementation of IT solutions. **Architect:** - Define the overall data architecture strategy, aligning it with business goals and ensuring it supports data-driven decision-making. - Identify, evaluate, and establish shared enabling technical capabilities for the division in collaboration with IT to ensure consistency, quality, and business value. - Design and oversee the implementation of data systems, including databases, data lakes, and data warehouses, ensuring they are scalable, secure, efficient, and cost-effective. - Evaluate and recommend tools and technologies for data integration, processing, storage, and analytics, staying updated on industry trends. **Strategic Planning:** - Take part in developing and implementing the MDM and analytics strategy aligned with the overall team and organizational goals. - Collaborate with the Enterprise architect to align on the overall strategy and application landscape securing that MDM and data analytics fit into the overall ecosystem. - Identify opportunities to enhance data quality, governance, and analytics capabilities. **Project Management:** - Oversee project planning, execution, and delivery to ensure timely and successful completion of initiatives and support. - Monitor project progress and cost, identify risks, and implement mitigation strategies. **Stakeholder Engagement:** - Collaborate with cross-functional teams to understand data needs and deliver solutions that support business objectives. - Serve as a key point of contact for data-related inquiries and support requests. - Actively develop business cases and proposals for IT investments and present them to senior management, executives, and stakeholders. **Data/Information Governance:** - Establish and enforce data/information governance policies and standards to ensure compliance and data integrity. - Champion best practices in data management and analytics across the organization. **Reporting and Analysis:** - Utilize data analytics to derive insights and support decision-making processes. - Document and present findings and recommendations to senior management and stakeholders. **Knowledge, Skills and Abilities Required:** - Bachelor's degree in computer science, Data Science, Information Management, or a related field; master's degree preferred. - 10+ years of experience in data management, analytics, or a related field, with at least 2 years in a leadership role. - Management advisory skills, such as strategic thinking, problem-solving, business acumen, stakeholder management, and change management. - Strong knowledge of master data management concepts, data governance, data technology, data modeling, ETL processes, database management, big data technologies, and data integration techniques. - Excellent project management skills with a proven track record of delivering complex projects on time and within budget. - Strong analytical, problem-solving, and decision-making abilities. - Exceptional communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels. - Team player, result-oriented, structured, attention to detail, drive for accuracy, and strong work ethic. **Special Competencies required:** - Proven leader with excellent structural skills, good at documenting as well as presenting. - Strong executional skills to make things happen, not generate ideas alone but also getting things done of value for the entire organization. - Proven experience in working with analytics tools as well as data ingestion and platforms like Power BI, Azure Data Lake, Snowflake, etc. - Experience in working in any MDM solution and preferably TIBCO EBX. - Experience in working with Jira/Confluence. **Additional Information:** - Office, remote, or hybrid working. - Ability to function within variable time zones. - International travel may be required. Join us at the ASSA ABLOY Group, where our innovations make spaces physical and virtual safer, more secure, and easier to access. As an employer, we value results and empower our people to build their career around their aspirations and our ambitions. We foster diverse, inclusive teams and welcome different perspectives and experiences.,