This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is part of the Enterprise Advanced Analysis team and focuses on key performance indicators, external quality ratings, and survey submissions. The ideal candidate will have data analytics and technical skills and be able to translate data into clear, actionable insights. - Utilizes analytical, technical, and statistical techniques, quality knowledge, and workflow management skills in data management, governance, and analytics. - Collaborates with Quality and IT colleagues on decisions involving data collection methods, writing, and archival. - Applies appropriate statistical methods and develops analytical solutions. - Understands and considers both the business/practice and the technical needs of the tasks. - Acts as a liaison between Quality Management Services and other institutional groups, linking business information requirements to data and analytic solutions. - Serves as a resource providing system design/build, support, maintenance, and education for data and analytic solutions. This position is primarily remote, must live within driving distance to a Mayo Clinic Campus. This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position. During the selection process, you may participate in an OnDemand (pre-recorded) interview that you can complete at your convenience. During the OnDemand interview, a question will appear on your screen, and you will have time to consider each question before responding. You will have the opportunity to re-record your answer to each question - Mayo Clinic will only see the final recording. The complete interview will be reviewed by a Mayo Clinic staff member and you will be notified of next steps. Benefits - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Company Description Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. - Just as our reputation has spread beyond our Minnesota roots, so have our locations. - Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. - Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

• Develop, maintain, and enhance dashboards, reports, and analytic outputs that support fundraising, donor engagement, financial visibility, and community impact measurement. • Independently execute moderately complex analytics projects, translating business questions into effective reporting solutions. • Apply analytical judgment to adapt methodologies and visualizations based on audience needs and data constraints. • Create clear, compelling data visualizations and narratives using Power BI and/or Tableau to communicate trends, performance, and outcomes. • Tailor communication and presentation style to different audiences, including executive leadership, committees, and program staff. • Support preparation of data-driven materials for Board meetings, annual reporting, and organizational presentations. • Work closely with Salesforce NPSP data to analyze constituent, giving, and engagement data for reporting and insight generation. • Partner with Data Operations and cross-functional stakeholders to ensure data accuracy, consistency, and appropriate interpretation. • Identify data quality issues and contribute recommendations to improve reporting reliability and usability. • Build audience lists for events, emails, and mailings, as well as oversee the cross-functional hand-offs related to distribution lists. • Take ownership of assigned deliverables, timelines, and data outputs, ensuring work is accurate, thoughtful, and well-documented. • Adapt processes and find creative solutions when standard approaches do not fully address reporting needs. • Proactively surface insights, trends, and opportunities that align individual contributions with broader team and organizational objectives. • Collaborate effectively across Philanthropy, Finance, Marketing, Community Impact, and Data teams to support shared goals. • Share knowledge, best practices, and subject matter expertise to support team learning and growth. • May mentor Associates or lead small analytic workstreams, modeling initiative, accountability, and professional standards. • Build credibility as a knowledgeable and reliable analytics partner across teams beyond the immediate data group.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description EQT is seeking a detail-oriented and technically skilled EHS Data Analyst to support the company's environmental, health, and safety initiatives through advanced data analytics and business intelligence solutions. This role is responsible for transforming complex operational and compliance data into actionable insights that enhance safety performance, regulatory compliance, environmental stewardship, and operational efficiency across EQT's upstream operations. The EHS Data Analyst I/II/III/Sr. responsibilities include but are not limited to: - Creating data-rich dashboards. - Ability to drill down data and visualize it in the best possible way through charts, reports, or dashboards. - Writing Power BI DAX expressions. - Implementing Row-level Security (RLS). - Developing custom BI products with scripting and programming languages such as R, Python, etc. - Data warehousing and business intelligence platforms. - Data mining, cleaning, and munging. Qualifications - Bachelor's Degree in Computer Science, Information Systems Management, Data Science, Information Science, Engineering or another closely related field. - Minimum 1+ years of experience in SQL & T-SQL Procedures, Power BI, and other BI tools, such as Spotfire, Tableau, etc. Requirements - Ability to communicate with business as well as technical teams. - Ability to learn and quickly respond to rapidly changing business environment. - Have an analytical and problem-solving mindset and approach. - Attention to detail. - Ability to learn oil & gas operations. - Remote work is being considered for this role excluding the following states: California, Connecticut, Delaware, Illinois, Indiana, Louisiana, Massachusetts, Michigan, New Jersey, New York, and Tennessee unless willing to relocate. Company Description EQT is one of the United States' leading producers of natural gas and the first traditional energy company of scale in the world to achieve Net Zero on a Scope 1 and Scope 2 basis. From the office to the field, the #EQTeam is fueling the future. Power your potential with us. At EQT, we are making strides toward becoming the best producer by creating long-term value for all stakeholders, including employees, landowners, communities, industry partners, and investors. Our vision is to evolve EQT into a modern, connected, digitally enabled organization. With an incredibly collaborative culture and a determined, progressive workplace, EQT was both named a National Top Workplace, as well as one of Pittsburgh's Best Places to Work!

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Product Data Analyst's primary responsibility is to design, build, and evolve data models, pipelines, and analytics tools that power our marketing data product. While client-facing analysts deliver custom solutions, your focus is on generalizing those solutions into scalable, reusable product components. You'll work with our internal BI platform, design data models for diverse marketing data sources, and ensure data quality across the product. This role sits at the intersection of analytics and data engineering. You'll need strong SQL and dbt skills, a deep understanding of marketing data, and the ability to think in terms of product — turning one-off solutions into generalized, maintainable systems. AI-first mindset is non-negotiable. We expect you to use AI tools (LLMs, copilots, code assistants) as your default approach to work — from writing SQL and dbt models to analyzing data, drafting documentation, and automating repetitive tasks. This isn't a nice-to-have; it's how we work. If you're already using AI daily and can't imagine going back, you'll fit right in. We need someone we can fully rely on: - You take a task, you own it end-to-end, you deliver on time with quality — no reminders needed, no corners cut. - You're thorough, detail-oriented, and you check your own work before anyone else sees it. - When something is unclear, you proactively drive clarity instead of waiting. - This role has a clear path toward managing a team — we're looking for someone who's ready to grow into that. Qualifications - AI-first approach to work: You already use AI tools (ChatGPT, Claude, Copilot, or similar) daily as your default way of working — for SQL, analysis, documentation, and problem-solving. - Full ownership and accountability: You take a task and deliver a complete, quality result. No hand-holding, no reminders. - Results-driven and thorough: You focus on outcomes, not activity. You check your own work for accuracy and completeness before delivery. - Self-directed and proactive: You don't wait for instructions when something is unclear — you investigate, ask the right questions, and drive things forward. - Leadership potential: You're ready to grow into managing a team. You naturally mentor others and think about how to improve processes and standards. Requirements - 3+ years of SQL experience, including complex queries (JOINs, CTEs, window functions). - 2+ years of hands-on dbt experience: building and maintaining models, understanding layering approaches (staging → intermediate → marts), working with documentation and tests. - Experience designing data models — dimensional modeling, working with multiple data sources, and managing branching/complex schemas. - Strong understanding of marketing data: channels, funnels, attribution, key metrics (CAC, ROAS, CPA, etc.), and how data flows from ad platforms to analytics. - Product-oriented thinking: ability to see common patterns across custom solutions and propose generalized, reusable approaches. - English C1 level with excellent written and verbal communication. - Hands-on experience with QA/UAT processes. Nice to Have - Python for data analysis and automation. - Experience with ClickHouse or other columnar databases. - Familiarity with marketing platform APIs and data (Google Ads, Facebook Ads, etc.). - Experience designing semantic/metric layers. - Understanding of CI/CD for data pipelines. - Knowledge of Marketing Mix Modeling (MMM) concepts. - Experience with GA4 / Google Analytics data streams. - Background in BI platforms (Looker, Power BI, Tableau) — for understanding best practices, not necessarily for daily use. Benefits - Remote-first environment - Strong product/market fit: marketing data product for US-based enterprises - 20 working days of PTO per year - US holidays and additional days off - Extremely fun & open startup environment - Professional development reimbursement - Clear growth path toward team leadership