• Own complex projects from scoping ambiguous problems to delivering actionable, data-driven insights • Partner with PMs to define metrics, build reporting dashboards, and inject data into product planning • Apply SQL and visualization tools to translate complex data into clear recommendations • Maintain and document metrics, datasets, and models using Confluence and Datahub • Balance multiple concurrent initiatives with clear prioritization and proactive status updates • Maintain rigorous data quality standards through robust validation and quality control • Integrate modern AI tools into daily workflows to improve productivity

• Analyze and implement data change requests (e.g. new fields or codifications) accurately and promptly • Support data harmonization projects to ensure consistency and standardization across the database • Work closely with other departments to ensure data needs are met and changes are effectively communicated • Ensure all data management activities comply with standard processes and policies, and meet project deadlines • Provide regularly report on project status and timelines • Being involved in the training session

Role Description We are seeking a highly skilled Senior Data Analyst (with a strong background in Analytics Engineering principles) to join our growing Performance Management team. This critical role will be instrumental in transforming raw business data into trusted, organized, and actionable datasets that drive strategic decision-making. You will be the vital link between our business stakeholders and our data warehouse, responsible for designing, building, and maintaining the core logic used to calculate our most important Key Performance Indicators (KPIs) and financial metrics. The ideal candidate will be equally comfortable performing deep-dive analysis in Excel and modeling complex data structures using dbt and SQL. Compensation: The base salary for this role is between $90k-$100k. Responsibilities: - KPI Development: Partner with business leaders (e.g., Finance, Sales, Product) to define, document, and standardize key financial and operational metrics and KPIs. Ensure these metrics are calculated consistently across all reporting tools. - Business Analysis: Conduct deep-dive analyses using Excel and reporting tools (we use PowerBI, but tools like Looker, Tableau, or Sigma are just as relevant) to translate data trends into clear, actionable insights and recommendations for leadership. - Data Modeling & Transformation: Design, develop, and maintain robust data transformation pipelines using dbt (data build tool) and SQL to create accurate and easily consumable data models within our data warehouse. - Data Reliability: Implement data quality checks and monitoring within the dbt framework to ensure the integrity and trust of our core business datasets. - Documentation: Maintain clear and comprehensive documentation for all data models, metrics, and transformation logic. - Cross-Functional Support: Act as a subject matter expert for data and analytics, helping analysts and stakeholders use the trusted datasets effectively. - Project Management: Effectively organize and manage projects to completion, driving towards timely and effective outcomes. Qualifications - Experience: 4+ years of professional experience in a Data Analyst, BI Developer, or Analytics Engineer role. - SQL Mastery: Expert-level proficiency in writing complex, highly performant SQL queries, including window functions, CTEs, and various join types. - Analytics Engineering Tooling: Proven, hands-on experience with dbt (data build tool) for data modeling, orchestration, and testing. - Spreadsheet Fluency: Advanced proficiency in Microsoft Excel or Google Sheets for modeling, deep-dive analysis, forecasting, and presenting data (e.g., Pivot Tables, complex functions like INDEX/MATCH, array formulas). - Business Acumen: Strong understanding of core business and financial metrics, particularly those relevant to SaaS or recurring revenue models (e.g., ARR, MRR, Churn, LTV, CAC, Margin). Preferred Qualifications - Experience with a cloud data warehouse platform (e.g., Snowflake, Google BigQuery, Amazon Redshift). - Familiarity with modern BI tools (e.g., Looker/LookML, Tableau, Power BI). - Experience working with version control (Git). - A degree in Computer Science, Finance, Economics, Statistics, or a related quantitative field. Physical Requirements and Work Environment - The physical demands described here are representative of those that must be met by an individual to successfully perform the essential duties of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. - While performing the essential duties of this job, the individual is regularly required to speak and hear. - While performing the essential duties of this job, the individual is regularly required to use hands for keyboarding, gross manipulation, and fine manipulation. - The individual frequently is required to stand and walk. - Works at a desk and computer screen for extended periods of time. - Works in a traditional climate controlled office environment or from home. - Works in a highly stressful environment dealing with a wide variety of challenges, deadlines and diverse employee population. Disclaimer This job description is only a summary of the typical functions of the position. It is not intended to be an exhaustive or comprehensive list of all job responsibilities, tasks, or duties. Additional duties and tasks may be assigned as part of the job function. Liquid Web Inc. reserves the right to modify, interpret, or apply this job description in a way that best supports the organizational needs. The job description in no way creates or implies an employment contract. The employment contract remains “at will”. Equal Employment Opportunity Policy Liquid Web is committed to offering equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic. #LI-REMOTE

Role Description Entarian is seeking a DWH Data Management and Program Analyst to provide data management, information management, reporting, and program coordination support for NOAA’s Deepwater Horizon (DWH) Restoration Program. This position will support restoration planning, project tracking, annual reporting coordination, document management, and related information management activities associated with DWH restoration and monitoring efforts stemming from the 2010 oil spill in the Gulf. The position will support the DWH Data Management Team and collaborate with NOAA staff, project managers, technical specialists, other governments’ DWH trustees, and partner organizations to support data organization, reporting workflows, program tracking, and coordination activities. - Support DWH data management, reporting, and information management activities associated with restoration planning and program operations. - Assist with project tracking, annual reporting coordination, document management, records organization, and maintenance of program information systems. - Provide technical and administrative support for collaboration platforms, document repositories, databases, reporting systems, and related information management tools. - Support compilation, organization, review, quality control, and tracking of project, programmatic, budget, and planning information. - Coordinate with NOAA staff, project managers, technical specialists, contractors, co-trustees, and partner organizations to support communication, reporting workflows, and information exchange. - Assist with development of data management plans, workflow documentation, reporting guidance, meeting materials, tracking tools, and other program support products. - Support project and program scheduling, action item tracking, records management, and administrative coordination activities. - Prepare monthly progress reports summarizing activities, accomplishments, level of effort, and support provided during the reporting period. Qualifications - Bachelor’s degree and approximately four (4) years of professional experience supporting data management, information management, reporting, program coordination, or related analytical activities. - Demonstrated experience applying data management tools, processes, and organizational methods to support user information needs, operational workflows, and program decision-making activities. - Proficiency with standard business software and office technology, including email systems, electronic file management, calendaring, and digital collaboration tools. - Strong working knowledge of Microsoft Office applications, including Word, Excel, and PowerPoint, along with experience using Google Workspace applications and shared document management platforms. - Experience using collaboration and document management systems such as Microsoft SharePoint or similar shared information environments. - Demonstrated ability to organize, review, analyze, and summarize information and prepare reports, tracking materials, and other supporting documentation. - Strong organizational and administrative skills with the ability to manage multiple assignments, competing priorities, and concurrent deadlines. - Strong written and verbal communication skills, including the ability to coordinate effectively with program staff, technical personnel, stakeholders, and external partners. Requirements - Familiarity with biological sciences and techniques pertaining to marine and/or coastal ecology, ecological restoration, and/or familiarity with Natural Resources Damage Assessment (NRDA) process and requirements. Benefits - Medical, Rx, Dental, and Vision Insurance - 401(k) retirement plan with company-matching - 11 Paid Federal Government Holidays - Paid Time Off (PTO) - Basic Life & Supplemental Life - Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts - Short-Term & Long-Term Disability - Employee assistance program (EAP) - Tuition Reimbursement, Personal Development & Learning Opportunities - Skills Development & Certifications - Professional Membership Reimbursement - Employee Referral Program - Competitive compensation plan - Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company’s performance