Role Description As a Performance Data Analyst, you will play a key role in supporting and developing meaningful benchmarking insights across the South West. You’ll work with complex datasets, design engaging dashboards, and support decision-makers at all levels with high-quality analysis. Working closely with the Performance Data Lead and wider expert teams, you’ll contribute to innovative approaches to data use—helping organisations compare, learn, and improve together. What You’ll Be Doing - Analyse and interpret performance data to identify trends, risks, and opportunities - Develop and maintain Power BI dashboards and reports for a wide range of stakeholders - Collate, clean, and prepare data from multiple sources for analysis - Present insights clearly to both technical and non-technical audiences - Support the development of regional benchmarking frameworks and outputs - Collaborate with technical specialists working in Azure, SQL, and reporting systems Qualifications - An experienced data analyst with strong skills in performance analysis and reporting - Confident using Power BI to create engaging, user-focused dashboards - Skilled at communicating complex data in a clear, compelling way - Detail-oriented with strong data preparation and quality assurance skills - Comfortable working collaboratively across teams and organisations - Experience within public sector data (e.g. Children’s Services, Education, or Health) would be advantageous—but not essential. Benefits - Work from anywhere – this is a fully flexible, virtual role - Secondments encouraged – we welcome applications from those looking for development opportunities - Be part of a regionally significant programme shaping future benchmarking - Work alongside an experienced, supportive team of analysts, technical experts, and senior leaders Company Description Cornwall Council delivers services to more than half a million local people and over five million visitors a year. We are happy to talk about flexible working options such as part-time or compressed hours. More examples of our flexible working opportunities can be found here - flexible working options. Fairness and inclusion are at the heart of our vision for Cornwall. In order to best serve our communities, we are striving to achieve a diverse workforce that is inclusive of all backgrounds, cultures and identities; e.g., race, disability, sex, gender reassignment status, age, religion and sexual orientation. We are an equal opportunities and Disability Confident employer, and we will assess applicants on their merits. Cornwall Council is committed to safeguarding and following safer recruitment principles to help make sure our staff and volunteers are suitable to work with children, young people and adults at risk. It’s a vital part of creating a safe and positive environment and making a commitment to keeping all service users safe from harm.

Role Description UN Women, grounded in the vision of equality enshrined in the Charter of the United Nations, works for the elimination of discrimination against women and girls; the empowerment of women; and the achievement of equality between women and men as partners and beneficiaries of development, human rights, humanitarian action and peace and security. In line with UN Women’s triple mandate and its leadership role within the humanitarian system, ROAS advances gender-transformative humanitarian action across the Arab States by ensuring that gender data informs coordination, programming, resource mobilization, and accountability throughout the humanitarian programming cycle. This includes: - Closing persistent gaps in real-time gender data - Strengthening analytical capacity in crisis contexts - Ensuring that the specific needs, risks, and priorities of women and girls are systematically captured and acted upon To operationalize this strategic priority, UN Women ROAS is establishing a Regional Network of Gender Data Analysts and Emergency Statisticians as a dedicated technical surge mechanism to support rapid, high-quality production and analysis of sex-disaggregated and gender-responsive data in emergencies. The Network will serve as a core pillar of UN Women’s regional approach to advancing gender data in humanitarian settings, ensuring: - Methodological rigor - Comparability across crises - Timely analytical products to inform decision-making The Regional Network constitutes the primary technical mechanism for the implementation of UN Women’s Standard Operating Procedures (SOPs) on gender data in emergencies, and will be mobilized during sudden-onset crises as well as critical phases of protracted emergencies. Members may be deployed remotely or in-country, subject to access and security conditions, and will report to the Regional Office Data and Results Management function and operate under the authority of the relevant Country Office. Qualifications - Master’s degree in statistics, data science, research, and/or any related discipline is required - A first-level university degree in statistics or data science in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree Requirements - 2 years of progressively responsible work experience on gender data in emergency context or data in emergencies is required - Experience working in the UN system at global level and/or in more than one geographic region (e.g. Arab States, Latin America and the Caribbean, Eastern Europe and Central Asia, Africa, Asia-Pacific) is required - Fluency in English is required - Knowledge of Arabic is desirable Benefits - This is primarily a home-based consultancy - Members of the Regional Network may be required to undertake short-term missions to emergency or crisis-affected contexts, subject to security conditions, operational needs, and available funding - All official travel will be coordinated by UN Women and conducted in accordance with UN Women travel policies Company Description In July 2010, the United Nations General Assembly created UN Women, the United Nations Entity for Gender Equality and the Empowerment of Women. The creation of UN Women came about as part of the UN reform agenda, bringing together resources and mandates for greater impact. It merges and builds on the important work of four previously distinct parts of the UN system (DAW, OSAGI, INSTRAW and UNIFEM), which focused exclusively on gender equality and women's empowerment. At UN Women, we are committed to creating a diverse and inclusive environment of mutual respect. UN Women recruits, employs, trains, compensates, and promotes regardless of race, religion, color, sex, gender identity, sexual orientation, age, ability, national origin, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, competence, integrity, and organizational need.

Title: Operations Data Analyst - Reliability Strategy Location: Oakland United States Job Description: Requisition ID # 172358 Job Category: Business Operations / Strategy Job Level: Individual Contributor Business Unit: Strategy & Growth Work Type: Hybrid Job Location: Oakland Department Overview The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E's Electric Reliability Strategy and initiatives. Within this department the Reliability Strategy team develops the overall reliability strategy to meet company targets. This strategy integrates current performance of reliability mitigations, predictive analytics, target forecasts and the project portfolio to identify needed work to deliver for PG&E's customers. Position Summary Applies data analysis and operational analytics to support the development and execution of PG&E's enterprise reliability strategy. Extracts, manages, and analyzes operational data to provide timely, accurate, and actionable insights that inform reliability performance, risk assessment, and decision-making across Electric Transmission and Distribution Engineering. Maintains and enhances operational data tools, databases, and reporting processes to ensure data is current, reliable, and accessible to stakeholders. Supports the development of automated data pipelines and reporting solutions used for performance monitoring, predictive analysis, and strategy execution. Identifies gaps in data availability and usability and contributes to improvements that enable more consistent and timely insights. Collaborates with engineering, operations, and strategy teams to translate data into clear, actionable reports and recommendations. Supports project delivery by contributing to data and analytics efforts from intake through analysis and presentation, ensuring alignment with reliability objectives and timelines. Participates in continuous improvement of data processes, analytics capabilities, and reporting frameworks to enhance system reliability and resilience outcomes. This position follows a hybrid work model, requiring employees to report to their assigned office location at least two or three days per week. The remaining days may be worked remotely, depending on business needs. The headquarters is located in the Oakland General Office. PG&E is providing the salary range that the company, in good faith, believes it may pay for this position at the time of the job posting. This compensation range is specific to the job's locality. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. Although we estimate the successful candidate hired for this role will be placed toward the middle or entry point of the range, the decision will be made on a case-by-case basis based on these factors. This job is also eligible to participate in PG&E's discretionary incentive compensation programs. A reasonable salary range is: Bay Area Minimum: $90,000 Bay Area Mid-Point: $113,000 Bay Area Maximum: $136,000 Job Responsibilities - Extract, manage, and analyze operational data to support PG&E's enterprise reliability strategy and related initiatives. - Develop and maintain data pipelines, tools, and databases to ensure timely, accurate, and consistent delivery of reliability performance data. - Implement and support automated data processes for data extraction, transformation, validation, and reporting to improve efficiency and data quality. - Create and deliver standard and ad hoc reports, dashboards, and analyses that provide insights into reliability performance, trends, and risks. - Support the integration of performance metrics, forecasts, and analytics into reliability strategy development and reporting processes. - Manage assigned data and analytics tasks or projects from intake through completion, ensuring alignment with timelines and stakeholder needs. - Identify and escalate data gaps, inconsistencies, or quality issues, and contribute to solutions that improve data availability and usability. - Collaborate with engineering, operations, IT, and strategy teams to gather requirements and ensure data outputs meet business needs. - Apply statistical and analytical techniques to develop actionable insights that inform operational and strategic decisions. - Communicate analysis results clearly to both technical and non-technical stakeholders, supporting effective decision-making. - Support data governance practices, including documentation, data validation, and adherence to established standards. - Contribute to continuous improvement efforts to enhance data processes, reporting capabilities, and overall analytics effectiveness. Qualifications Minimum: - BA/BS Degree in Marketing, Business, Computer Science, Engineering, or other related field, or equivalent work experience - 2 years of related work experience Desired: - Familiarity with utility operations. - Skilled in Microsoft Excel/Access (complex formulas, graphing, VBA) - Skilled in writing SQL queries using Oracle or Business Objects - Experience in UNIX shell programming (csh, awk, sed, vi). - Knowledge of base-SAS and programming languages such as Visual Basic, Perl, and C - Able to analyze and interpret data and effectively communicate findings.

Title: Senior, Operations Data Analyst - Reliability Strategy Location: Oakland United States Job Description: Requisition ID # 172359 Job Category: Business Operations / Strategy Job Level: Individual Contributor Business Unit: Strategy & Growth Work Type: Hybrid Job Location: Oakland Department Overview The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E's Electric Reliability Strategy and initiatives. Within this department the Reliability Strategy team develops the overall reliability strategy to meet company targets. This strategy integrates current performance of reliability mitigations, predictive analytics, target forecasts and the project portfolio to identify needed work to deliver for PG&E's customers. Position Summary Applies data analysis and operational analytics to support the development and execution of PG&E's enterprise reliability strategy. Extracts, manages, and analyzes operational data to provide timely, accurate, and actionable insights that inform reliability performance, risk assessment, and strategic decision-making across Electric Transmission and Distribution Engineering. Maintains and enhances operational data tools, databases, and reporting processes, ensuring data is current, reliable, and accessible to stakeholders. Develops automated data pipelines and reporting solutions that support performance monitoring, predictive analysis, and ongoing strategy execution. Identifies gaps in data availability and usability, driving improvements to enable faster, more consistent insights for leadership and cross-functional teams. Partners with engineering, operations, and strategy teams to translate complex data into clear, actionable reports and recommendations. Supports project delivery by managing data and analytics efforts from intake through analysis and presentation, ensuring alignment with enterprise reliability objectives and timelines. Contributes to continuous improvement of data processes, analytics capabilities, and reporting frameworks to strengthen system reliability and resilience outcomes. This position follows a hybrid work model, requiring employees to report to their assigned office location at least two or three days per week. The remaining days may be worked remotely, depending on business needs. The headquarters is located in the Oakland General Office. PG&E is providing the salary range that the company, in good faith, believes it might pay for this position at the time of the job posting. This compensation range is specific to the job's locality. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. Although we estimate the successful candidate hired for this role will be placed toward the middle or entry point of the range, the decision will be made on a case-by-case basis based on these factors. This job is also eligible to participate in PG&E's discretionary incentive compensation programs. A reasonable salary range is: Bay Area Minimum: $105,000 Bay Area Mid-Point: $137,000 Bay Area Maximum: $169,000 Job Responsibilities - Lead the extraction, management, and analysis of operational data to support PG&E's enterprise reliability strategy, enabling data-driven decisions across Electric Transmission and Distribution Engineering. - Design, develop, and optimize scalable data pipelines, tools, and databases to ensure high-quality, timely, and reliable delivery of performance data and insights. - Develop and implement advanced automated data processes, including data validation, cleansing, and transformation, to improve accuracy, efficiency, and repeatability of reporting. - Deliver complex analytical products, including dashboards, models, and ad hoc analyses, that provide actionable insights into reliability performance, risk, and trends. - Integrate predictive analytics, forecasting, and performance metrics into reporting frameworks to support proactive strategy development and execution. - Lead data and analytics workstreams across projects, ensuring successful delivery from intake through analysis, validation, and presentation to stakeholders and leadership. - Identify and resolve systemic data gaps and quality issues, driving improvements in data accessibility, governance, and usability across the organization. - Partner with engineering, operations, IT, and strategy teams to define data requirements and ensure alignment with enterprise reliability objectives and regulatory expectations. - Apply advanced statistical and analytical methods to produce insight-driven recommendations that influence operational and strategic decisions. - Translate complex data into clear, concise, and executive-ready communications, supporting decision-making at multiple organizational levels. - Establish and uphold data governance and quality standards, ensuring data integrity, traceability, and audit readiness. - Drive continuous improvement initiatives across data processes, reporting frameworks, and analytical capabilities to enhance reliability and resilience outcomes. - Provide guidance and mentorship to junior analysts, promoting best practices in data analysis, process design, and problem-solving. Qualifications Minimum: - BA/BS Degree in Marketing, Business, Computer Science, Engineering, or other related field, or equivalent work experience - 4 years of related work experience Desired: - Familiarity with utility operations. - Advanced skill in Microsoft Excel/Access (complex formulas, graphing, VBA) - Advanced skill in writing SQL queries using Oracle or Business Objects - Proficient in UNIX shell programming (csh, awk, sed, vi). - Solid knowledge of base-SAS and programming languages such as Visual Basic, Perl, and C - Strong organizational skills, ability to effectively prioritize work, meet deadlines, and work on multiple tasks independently. - Good communication and presentation skills to deliver findings and make recommendations to stakeholders. - Project management skills.