• Gather, analyze, and document business requirements from stakeholders across multiple business functions. • Develop and maintain Business Intelligence dashboards, reports, and visualizations using Tableau, Power BI, QuickSight, or Cognos. • Perform data analysis to identify trends, business opportunities, operational gaps, and performance improvements. • Define, track, and monitor KPIs and business metrics to support strategic objectives. • Collaborate with Data Engineering, Product, Program, and Business teams to deliver analytics and reporting solutions. • Conduct root cause analysis and provide data-driven recommendations for business challenges. • Support healthcare analytics, pricing analysis, operational reporting, and business performance initiatives. • Build and optimize SQL queries for data extraction, validation, and reporting purposes. • Ensure data governance, data quality, security, and compliance standards are maintained. • Drive reporting automation and process optimization initiatives to improve efficiency and productivity. • Prepare executive dashboards, presentations, and analytical insights for leadership teams. • Participate in Agile ceremonies, stakeholder meetings, sprint planning, and requirement discussions.

• Support Cost Managers in maintaining accurate and consistent cost data structures across multiple active projects. • Aggregate, clean, and analyze project cost data to support forecasting, reporting, and decision-making. • Prepare corporate reporting materials, including dashboards, presentations, and executive summaries for senior leadership. • Conduct benchmarking analysis by comparing cost and schedule data across projects, regions, and scopes to identify trends, variances, and key drivers. • Assist in establishing and maintaining cost baselines and unit rate libraries for key data center construction components (e.g., MEP systems, structural, and site work). • Collaborate with cross-functional teams to ensure data accuracy, consistency, and alignment with project and corporate standards. • Support development of data visualization tools and dashboards to enhance transparency and usability of cost data. • Validate and reconcile data from multiple sources, ensuring integrity and reliability of reporting outputs. • Assist with ad hoc analysis and reporting requests from project teams and senior leadership. • Effectively communicate insights, trends, and recommendations to both technical and non-technical stakeholders. • Conduct all work with a high level of integrity and attention to detail, ensuring confidentiality and accuracy of sensitive financial data.

• Lead and support financial statement audit readiness and remediation efforts. • Design and implement data-driven analytical solutions to uncover insights and resolve data challenges. • Automate recurring analytics processes to improve efficiency and reduce manual effort. • Analyze audit findings and contribute to the development of corrective action plans. • Collaborate with internal teams, external auditors, and leadership to ensure audit requirements are met. • Prepare audit documentation and evidence packages for assertions and walkthroughs. • Maintain organized and traceable audit readiness documentation repositories. • Coordinate responses to audit requests with external audit firms and internal stakeholders.

Role Description We are seeking a highly motivated GIS Data Analyst to join our Water Asset Management team, supporting data operations in the water conservation and IoT sectors. The ideal candidate will play a critical role in collecting, analyzing, and interpreting data from a diverse range of sources, including IoT sensors, GIS systems, and client platforms. This position involves developing actionable insights to optimize processes, improve decision-making, and enhance operational efficiency. The Data Analyst will manage and analyze large datasets, design and implement data visualization dashboards, and maintain integrations across various systems. This role also contributes to the ongoing development of McKim & Creed’s data platform—collaborating with engineers and project managers to refine analytics, algorithms, and reporting tools that drive our mission of water conservation and smart resource management. Responsibilities - Data Quality Assurance and Control - Conduct daily QA/QC of incoming meter, SCADA, and telemetry feeds to ensure consistency, accuracy, and completeness. - Identify and resolve discrepancies or anomalies to maintain data integrity and reliability. - Client Communication and Insights Delivery - Provide daily updates to clients regarding event notifications, significant trend identifications, and actionable insights derived from data analysis. - Establish strong communication channels to foster collaboration and trust. - Inventory Monitoring and Management - Perform daily inventory checks across all project locations, ensuring minimum field-deployable sensor inventory thresholds are maintained. - Collaborate with relevant teams to address inventory shortages proactively. - Maintenance Coordination - Maintain daily correspondence with maintenance staff to coordinate product allocations and schedule maintenance activities. - Ensure timely interventions to minimize downtime and improve operational efficiency. - Client Relationship Management - Conduct weekly client meetings to review reports, discuss project progress, and identify opportunities to expand or enhance service offerings. - Build and sustain strong client relationships through consistent engagement and problem-solving. Qualifications - Bachelor’s degree in Geography/GIS, Data Science, Computer Science, Engineering, or related field. - 3–5+ years of professional experience in data analysis, GIS, or IoT-related analytics. - Strong analytical and problem-solving skills with the ability to interpret complex data and deliver meaningful insights. - Excellent written and verbal communication skills; comfortable engaging with clients and cross-functional teams. - Highly organized, self-motivated, and able to manage multiple tasks in a remote environment. - Valid driver’s license and acceptable motor vehicle and criminal record. Requirements - Technical Skills - Python Programming: Proficiency in Python for data manipulation, analysis, and workflow automation (Pandas, NumPy, Matplotlib preferred). - SQL & Database Management: Strong SQL skills for querying and managing large relational datasets; experience optimizing queries and ensuring data efficiency. - GIS Expertise - ArcGIS Pro: Comfortable with spatial analysis, mapping, and basic geoprocessing for QA/QC and reporting workflows. - Survey123 & Field Maps: Comfortable using deployed forms, validating field-collected data, and troubleshooting field-side issues. - Operations Dashboard & Experience Builder: Comfortable navigating and interpreting client-facing dashboards and apps. Benefits - Employee Stock Ownership Plan (ESOP): All employees are owners & benefit from profits earned. - Competitive pay: Paid holidays, bereavement, and parental, medical, and military leave. - Multiple office locations to work from: Stick close to home or travel for a change of scenery. - Growth opportunities & training: Grow confidently in your career with our mentoring & training options. - Professional development: Tuition reimbursement, early career professional program, online courses & more. - Work that makes a difference: See the direct impact your work has on our communities. - Collaborative, supportive team: People to help you solve problems, cheer successes & encourage you along the way.