I need a Tableau Dashboard/Report builder to create a dashboard from an Excel spreadsheet. The project requires assistance for 2-4 hours. The ideal candidate should have experience in data analysis and be proficient in Tableau and Excel.

Requirements: DataCloud - Should have several years hands on experience (minimum 2-3 years) Tableau Next - Expertise with Tableau Next and very solid legacy Tableau background (minimum 5 years) CRMA: Not required but helpful

I’m a Renewals Manager at an enterprise SaaS company looking for an experienced RevOps or Sales Operations and AI Workflow consultant to help streamline my personal workflow and improve how I use my existing tools. My responsibilities include managing renewals from initial outreach through contract execution, supporting Account Executives, monitoring consumption, identifying renewal risks, preparing quotes, coordinating with internal teams and partners, maintaining forecasts, identifying up/cross-sell opportunities and keeping opportunity records current. My primary tools include: Salesforce Tableau Clari Tableau K360/customer consumption data Gmail and Google Calendar Claude, ChatGPT and NotebookLM I’m looking for someone who can review my current process through screen sharing and sanitized examples, identify inefficiencies, and create a simpler operating system for managing my book of business. The project should address: Prioritizing upcoming renewals, high-consumption accounts, and at-risk deals Managing 180-day outreach and follow-up cadences Preparing for customer and internal account calls Streamlining deal notes, next steps, and forecast updates Reducing duplicate work across Salesforce, Clari, Tableau, and K360 Improving quote, partner, procurement, and contract follow-up Creating reusable email templates, checklists, prompts, and SOPs Identifying safe AI or no-code automation opportunities Expected deliverables: Current workflow and bottleneck assessment Recommended daily and weekly operating cadence Clear guidance on which tool should be used for each activity Reusable templates, checklists, and AI prompts Prioritized automation roadmap Hands-on help implementing approved personal workflow improvements The ideal consultant has experience with SaaS renewals, Revenue Operations, Salesforce, Clari, forecasting, and AI-assisted workflow design. You should be comfortable improving processes without requiring administrator access. This is not a Salesforce implementation or company-wide systems redesign. The goal is to optimize my personal workflow within existing tools and permissions. No direct access to production systems or customer data will be provided without company approval. This will begin as a focused 6–10 hour project, with the possibility of additional work if the initial engagement is successful. When applying, please share: A similar sales or renewals workflow you have improved Your experience with Salesforce, Clari, K360, Tableau How you approach workflow optimization without administrator access What you would cover during the initial workflow audit

We are looking for experienced Back-End Developers with strong expertise in data engineering, data warehousing, BI analytics, cloud data platforms, SQL, ETL/ELT, containerization, DevOps, and AI/ML data infrastructure. The ideal candidates should have experience building and maintaining enterprise data platforms and production-grade back-end services, with strong knowledge of cloud data warehouses, orchestration frameworks, CI/CD, infrastructure automation, and enterprise BI environments. We may engage up to three Back-End Developers for this opportunity. This is a long-term contract engagement with an initial term of up to 12 months and potential for extension. Responsibilities Design, develop, enhance, and maintain enterprise back-end and data engineering solutions. Develop ETL and ELT pipelines for enterprise data platforms. Work with cloud data warehouses such as: Snowflake Amazon Redshift Azure Synapse Develop workflows using orchestration tools such as Airflow and dbt. Develop and optimize advanced SQL queries. Build and maintain dimensional data models including: Star schemas Snowflake schemas Semantic layers Integrate back-end data services with enterprise BI platforms such as Power BI, Tableau, or Looker. Build and operate containerized workloads using Docker and Kubernetes. Develop and maintain CI/CD pipelines for ML and data workflows. Implement monitoring and logging for AI/ML, BI, and data platforms. Automate cloud infrastructure using tools such as Terraform and Ansible. Support data integration, transformation, cleansing, and warehouse operations. Support AI/ML and GenAI workloads within enterprise data environments. Collaborate with architects, developers, analysts, and business stakeholders. Troubleshoot production issues and continuously improve scalability, performance, security, and reliability. Required Qualifications 7+ years of experience in Information Technology with significant experience in: Report writing Data analysis Database querying 5+ years of experience in: Data engineering Data warehousing BI analytics 2+ years of experience with ETL/ELT pipelines. 2+ years of experience with cloud data warehouses such as: Snowflake Amazon Redshift Azure Synapse Experience with orchestration tools such as: Airflow dbt 2+ years of advanced SQL experience, including: Advanced joins Window functions Performance tuning Experience in data modeling, including: Star schemas Snowflake schemas Semantic layers Hands-on experience with at least one major BI platform such as: Power BI Tableau Looker 2+ years of hands-on experience with: Docker Kubernetes CI/CD pipelines for ML and data workflows Monitoring and logging for ML and BI systems Cloud infrastructure automation using Terraform and/or Ansible. Preferred Qualifications The RFO lists several additional desirable capabilities for Back-End Developers, including: AWS certifications. Snowflake certifications. BI certifications such as Power BI or Tableau. AI/ML or GenAI-related coursework or credentials. 3+ years of experience with AI/ML or GenAI technologies. 1+ year of hands-on experience with OpenAI APIs or similar LLM platforms. Experience building natural-language-to-SQL/query systems. Prompt strategy and prompt engineering experience. 3+ years of experience in semantic-layer design and enterprise data modeling. 1+ year developing semantic models that support natural-language querying and AI-driven analytics. Experience with statistical analysis, predictive analytics, and optimization. Bachelor’s degree in Computer Science, Computer Engineering, or related field. Important: the RFO's desirable qualifications for the Back-End Developer also contain several front-end-oriented criteria, including React, Chainlit/Streamlit, UX/UI, and chat-interface experience. I would therefore keep those as preferred rather than mandatory in the Upwork post, because CalSTRS' actual minimum Back-End qualifications are clearly data-engineering/DevOps focused. Work Arrangement Hybrid Must be available to work 2–3 business days per week onsite in West Sacramento, CA Approximately 160 hours per month Initial contract duration: up to 12 months Potential extension: up to 36 additional months Work is expected during client business hours.

About the Role We're looking for a seasoned SaaS financial analyst who lives and breathes SaaS metrics — and knows how to turn them into decisions that move the business forward. This isn't a "produce a report" role. We want someone who has sat in the seat before, built the metrics infrastructure for a SaaS company, and used it to drive growth, improve retention, and guide strategy. What You'll Do Own and compute our full SaaS metrics stack: MRR/ARR, growth rate, gross & net revenue retention (GRR/NRR), churn (logo and revenue), CAC, CAC payback period, LTV, LTV:CAC ratio, burn multiple, gross margin, Rule of 40, expansion revenue, and cohort analysis Build and maintain dashboards and reporting that leadership can actually act on Analyze pricing, packaging, and unit economics to identify growth levers Model scenarios: fundraising readiness, headcount planning, cash runway, and forecast accuracy Partner with leadership to translate data into strategy — you'll recommend, not just report Identify risks and opportunities in the numbers before anyone else sees them What We're Looking For 3+ years as a financial analyst (or similar role) inside a SaaS company — required Deep, hands-on fluency with SaaS metrics — you can compute them from raw data, not just read them off a dashboard Proven track record of analysis that changed business decisions (be ready to share examples) Strong Excel/Google Sheets modeling skills; experience with tools like Stripe, Chargebee, Baremetrics, ProfitWell, ChartMogul, or BI tools (Looker, Tableau, Power BI) is a plus Excellent communication — you can explain complex metrics to non-finance stakeholders Bonus: experience preparing SaaS metrics for investors, board meetings, or due diligence

**About the work** We are a construction and construction management firm looking for a skilled data visualization freelancer to transform our preconstruction Excel deliverables — cost estimates, executive summaries, A3 documents, and historical cost tracking — into clean, branded, interactive HTML presentations our team can use in client meetings and sales presentations. We have already developed a working set of reference deliverables that define the quality bar, interaction style, and visual language we are looking for. Applicants will be asked to review these as part of the screening process. **What you will build** Each engagement typically involves one or more Excel workbooks that contain cost estimate data across multiple tabs. You will produce a standalone, browser-based HTML file that: - Organizes the data across 2–4 navigable slides or views - Applies our company brand colors, typography, and visual standards throughout - Includes interactive elements such as toggleable line items, live-updating totals, category filter presets, and exportable decision summaries - Can be opened directly in a browser with no login, no platform subscription, and no external dependencies beyond standard CDN-hosted libraries - Is clean and polished enough to present directly to a client or owner Deliverables are standalone HTML files — not Tableau dashboards, not Power BI reports, not Flourish embeds, not Python notebooks. If those are your primary tools, this project is likely not a fit. **Deliverable types we work with** - Executive summaries (cost phase comparisons, scope breakdowns, alternates calculators) - Two-page detailed cost estimates (line-item toggles, category presets, visible subtotals) - A3 concept summaries (project overview, qualifications, division-level cost detail) - Historical cost pathway documents (estimate movement across phases) **What we provide** - Source Excel workbooks with all relevant data - Robins & Morton brand standards including colors, typography, and logo guidelines - Reference HTML files showing existing deliverables at the quality and interaction level we expect - Clear direction on which tabs to prioritize and what information to surface vs. suppress in client-facing views **What we are looking for** - Strong proficiency in HTML, CSS, and JavaScript — you write clean, well-structured code directly, not through no-code tools - Experience with Chart.js, D3.js, or similar browser-native charting libraries - A design sensibility for data-dense, professional, client-facing presentations — not dashboards built for internal analysts - Ability to follow a brand system closely and apply it consistently across a multi-slide layout - Experience presenting financial or cost data to non-technical audiences is a strong plus - AEC, construction, or healthcare industry familiarity is helpful but not required

Higher Education SQL and ETL Specialist UQ Solutions is seeking an experienced higher education data specialist to support data integration and analytics work for colleges and universities. This role requires more than general data engineering experience. We are looking for someone who understands how institutional data is structured, defined, and managed within U.S. higher education. The ideal candidate has worked directly within a college or university IT, institutional research, business intelligence, or data environment. This is a contract position with the potential for ongoing work. Responsibilities • Write, review, and optimize SQL queries • Extract data from student information, finance, HR, and related systems • Design, build, test, and document ETL or ELT workflows • Map data from different institutional systems into standardized data models • Identify data-quality issues, missing fields, and inconsistent definitions • Validate transformed data against source systems and institutional reports • Work with institutional IT and research teams to clarify data requirements • Develop clear data specifications, mapping documents, and technical documentation The work may involve enrollment, courses, sections, academic programs, faculty, staffing, workload, finance, and organizational data. Required Experience • Professional IT, institutional research, analytics, or data experience within a U.S. college or university, or extensive consulting experience with U.S. higher education institutions • Excellent SQL skills • Experience with ETL or ELT, data transformation, integration, and validation • Direct experience with one or more major higher education systems, such as Ellucian Banner, Ellucian Colleague, Workday, Jenzabar, PeopleSoft, Oracle, or other commonly used SIS, ERP, HR, finance, or reporting platforms • Familiarity with higher education data structures and terminology • Strong documentation, communication, and problem-solving skills • Careful attention to accuracy, privacy, security, and confidentiality Preferred Skills • R or Python • dbt or similar transformation tools • Snowflake, Azure, or PostgreSQL • Data warehouse or dimensional-modeling design • Tableau or Power BI • IPEDS or institutional reporting • Course scheduling, faculty workload, program costing, or academic financial analysis Ideal Candidate The ideal candidate understands that higher education data is often complex and institution-specific. You should be comfortable investigating unfamiliar databases, asking precise questions, documenting assumptions, and distinguishing between technically available data and data that accurately represents an institutional concept. We are particularly interested in candidates who can communicate effectively with both technical and nontechnical stakeholders. To Apply Please include: • A brief description of your higher education data or IT experience • The colleges, universities, or higher education organizations with which you have worked • The SIS, ERP, finance, HR, and reporting systems you know • Examples of SQL, ETL, or data-integration projects you have completed • Your availability and hourly rate • Whether you are interested in project-based work, ongoing work, or both Please begin your proposal with the name of the higher education system you know best.

Qwoted connects journalists with the experts, brands, and small businesses who can actually help them tell a story. We're the matchmaker between "I need a source by 3pm" and "I have exactly the person you need." Along the way, we end up sitting on a genuinely interesting pile of data about how PR and journalism actually work day to day, and we want someone who can turn that into stories worth sharing. We need a data-savvy storyteller to dig into Qwoted's own platform and industry data and pull out the kind of insight that makes people stop scrolling and hit share. You'll look at real patterns in how journalists request sources and how PR pros pitch them, then turn what you find into visuals and short write-ups that work on social and have a real shot at getting picked up by media outlets. You need to be comfortable pulling apart a dataset before you ever open a design tool. What You'll Do - Analyze Qwoted's platform data (pitch activity, source requests, response rates, demographic patterns, beat trends, etc.) to find angles worth telling - Build clean, shareable charts and graphics - Write short, punchy captions and summaries that explain the "so what" in plain English, built for social feeds first - Package findings with enough supporting data and context that a journalist could plausibly write a full story off of it (stats, methodology notes, a quote-ready line or two) - Suggest new angles as you spend time in the data. We don't want someone who just executes a list, we want someone who spots things we haven't asked about yet What You Bring - Experience working with spreadsheets and raw data - Experience using data viz tools - A knack for finding the interesting thread in a boring dataset - Experience creating data visualization to get earned media pickup, not just internal reporting - A sense of how to translate graphs and data for social carousels (or videos) on social platforms - Newsroom or journalism background is a bonus - East Coast hours or general US-based availability preferred for overlap with our team

We are seeking a professional in the data analytics industry to conduct a survey. The ideal candidate will have experience in data analysis and be able to provide insights from the survey results. it will take around 20 minutes to finish

Need help building a Power BI dashboard connected to Repfabric CRM. The work includes creating a clear, user-friendly dashboard for reporting and analysis. The ideal freelancer should be able to translate business needs into visual insights and support a smooth integration process. This is a small project with a focus on accuracy, usability, and reliable reporting.