We need a data analyst to review merchant statements as they are uploaded and parsed into our data analytics dashboard. The role includes checking parsed data for accuracy, identifying issues, and helping improve the overall quality of the data flow. You should be comfortable working with merchant statement data and be very detail oriented. The role also includes adjusting parsing rules in Docparser and/ or customizing our existing AWS code that is also doing statement parsing. Experience with both is a major plus.

https://brainforge.ai/careers/ ## **Role Overview** Brainforge is hiring an **Omni Analyst** to serve as the lead analyst and client-facing owner on a **large CPG client** engagement. This is a hybrid delivery role: you'll do hands-on analytics and Omni work while also building trust, running client touchpoints, and driving BI adoption. --- ## **🔑 Key Responsibilities** ### **Omni analytics & implementation** - Work in **Omni's CI/CD modeling pipeline** to build, review, and ship governed analytics content. - Serve as the **technical brain** on Omni implementations alongside Brainforge CSOs and Omni FDEs. - Build and maintain dashboards, reports, and self-service analytics in Omni on top of modern data platforms. ### **Client delivery & relationship ownership** - Serve as the **primary analyst and client success owner** on the engagement—balancing technical delivery with relationship management. - Translate business questions into clear analytics plans, deliverables, and client-ready narratives. - Present insights and progress to client stakeholders over Slack, email, and Zoom. - Partner with Brainforge delivery leadership to scope work, manage priorities, and keep the engagement healthy. ### **Insights & reporting** - Perform trend and root-cause analysis to provide actionable recommendations. - Present findings to non-technical stakeholders with clarity and confidence. - Create reports and visualizations that communicate key metrics effectively. --- ## **What This Role Is / Is Not** ### **This role is:** - A **client-facing analyst** who can own both the work and the relationship - Focused on **BI tool adoption**, not just building models in isolation - A blend of **Omni implementation expertise** and **consulting delivery** ### **This role is not:** - A pure backend or pipeline engineering role - A heads-down IC slot with no client communication - A role for someone who has never been part of a **BI rollout or adoption** effort --- ## **🧩 Background & Skills** ### **Education and Experience** - Bachelor's degree in a related field (e.g., Data Science, Statistics, Computer Science, Business). - **3+ years** of experience as a Data Analyst, Analytics Consultant, BI Analyst, or similar role. ### **Must have** - **Omni Quickstart certification** (required) - **Clear communicator**—strong written and oral skills with client stakeholders - Hands-on analytics experience with modern data platforms (**Snowflake, Redshift, and/or Databricks**) - A track record of **BI tool adoption**—you have rolled out a BI tool or been on the team that did - **Intermediate SQL** and comfort working with relational data in production environments - Ability to manage multiple priorities in a fast-paced consulting environment ### **Nice to have** - Additional **Omni certifications** beyond Quickstart - **CPG or omnichannel retail** analytics experience - Experience with **dbt** or similar transformation workflows - Familiarity with other BI tools (Tableau, Looker, Sigma, Power BI, Metabase, etc.) - Prior experience as a **Client Success Owner** or lead analyst on a client engagement ### **Hard no's** - Profiles that are **too technical or engineer-only** with weak client communication - Candidates with **no BI rollout or adoption experience** --- ## **🌟 Traits & Mindset** - Excited to **work remotely with a distributed team** in US time zones - Thrives in an async environment leveraging tools like Slack, Loom, and AI to move faster - Passionate about digging for insights and producing **great analyses** for clients - Curious about business models—especially how data drives decisions in CPG - Values working with **kind**, **ambitious**, and **pragmatic** teammates. --- ## ✍️ A Day in the Life Looks Like - Working directly with client and Brainforge stakeholders over Email/Slack/Zoom - Building and refining dashboards and models in **Omni** on top of Snowflake (or similar) - Partnering with CSOs, service leads, and Omni FDEs to unblock implementation work - Preparing client updates, training sessions, and adoption materials - Supporting the broader delivery team on analytics questions and client context --- ## **📍 Location & Logistics** - **Location:** Remote, **US-based** (US time zones required) - **Hours**: 20hrs/wk - **Travel:** ~1x/month to **NYC** - **Type:** **1099 contract** · 6 months with possible extension - **Reports to:** Head of Delivery - **Start Date:** ASAP

Sweent LLC, a US federal contractor, is assembling the team for a research engagement with a federal client and is looking for a senior researcher to be named on it. THE ENGAGEMENT - October 2026 through February 2027, fully remote. Four research notes, five pages each. Benchmarking a large US federal organization's websites and apps against comparable US entities and against Amazon, UPS and FedEx - what each offers digitally and how each generates revenue online - plus an assessment of where the organization could earn more from its digital channels. Desk research, synthesis, clear written analysis. No travel, no site work. Start date subject to final contract confirmation with our client. We handle all the paperwork - you'll be confirming facts, not drafting documents. PLEASE CONFIRM ALL FOUR IN YOUR PROPOSAL: 1. Based in the United States, performing all work from the US. Non-negotiable. 2. You've produced written analytical deliverables for clients - audits, competitive or market benchmarking, research reports. 3. At least one client engagement active between August 2021 and August 2026 where the client would take a short reference call. Name them, or the sector if under NDA. 4. You can sign a one-page availability letter by Thursday, August 27. Postal, logistics or government experience is not required. Digital channel, e-commerce, or media and audience analytics backgrounds are all relevant. Skip the generic cover letter - answer the four points and tell me about one written analysis you're proud of. Sweent LLC participates in E-Verify.

We are a market intelligence firm producing deep, specific research on industrial, energy, and data center markets in Southeast Asia and North America. We are looking for a sharp research analyst for a paid trial project, with strong potential for ongoing work. What We Need From You • Primary research skill: the ability to find specific, named, verifiable information ( companies, projects, facilities, figures and not just summarize what is easily available. • Sourcing discipline: every significant claim backed by a credible, checkable source. • Organization & clarity: turn messy findings into a clear, well-structured, readable report. • Analytical judgment: not just data — an ability to assess what matters and why. • Sector familiarity (a plus, not required): energy, industrial equipment, data centers, or infrastructure. Diligence matters more than domain.

Corporate Data Analyst & Financial Records Reconciliation Specialist Description: Strategic Risk Services is seeking an experienced Corporate Data Analyst to assist with internal business records reconciliation and corporate data auditing. The ideal candidate will have a strong background in data analysis, forensic accounting support, or corporate auditing, with a meticulous attention to detail. Key Responsibilities: Analyze and reconcile internal financial records, invoices, and digital documentation. Identify discrepancies, anomalies, and structural inconsistencies across business records. Organize unstructured data into structured reports and timeline logs for management review. Conduct thorough data cross-referencing and background cross-checking using standard corporate business intelligence methods. Requirements: Advanced proficiency with data extraction, spreadsheets, and document organization tools. Experience compiling comprehensive structural reports for internal corporate review. High level of professional discretion and confidentiality. Step 3: Select Skills and Budget Skills: When Upwork asks you to select relevant skills, choose standard tags like Data Analysis, Data Entry, Internet Research, and Financial Reconciliation.

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

Overview We're building a labeled test corpus to evaluate a PII (Personally Identifiable Information) detection system. We need a precise, detail-oriented annotator to open files — images, PDFs, spreadsheets, code files, logs — and identify exactly what personal information is present, recording the exact values visible in each document. You receive pre-organized batches of files. Your job is to fill an annotations.csv accurately. Precision matters far more than speed — mislabeled examples degrade our evaluation benchmarks. What You'll Do - Open each file in the batch and identify which PII labels are present from a 50-label taxonomy (we provide the full reference with examples and qualification rules) - Record the exact value as it appears in the document — no guessing, no inference - Classify each file by: domain (medical / financial / HR / technical / generic), context level (isolated field / sentence / paragraph / full document), co-occurrence count - For hard negative files (documents with PII field labels but no values filled in): identify which labels a scanner might incorrectly fire on - Flag ambiguous cases in the notes column rather than making a judgment call What You'll Be Annotating - Images: Driver's licenses, passports, insurance cards, scanned W-2s and pay stubs, portal screenshots — you'll visually read what's on the document - PDFs: Tax forms (W-2, W-9, 1040), medical records, discharge summaries, EOBs, HR contracts - CSVs / XLSX: Employee rosters, patient lists, transaction logs, payroll exports — one representative row sampled - JSON: API responses with user data, config files with credentials, auth token exports - Code & logs: Source files with hardcoded secrets, nginx/auth logs with IPs and usernames PII Categories You'll Be Labeling - Personal identifiers: first/last name, date of birth, email, phone - Government IDs: SSN, driver's license, passport, EIN - Financial: card number, card expiry, CVV, bank account, routing number - Medical: MRN, insurance ID, diagnosis, procedure, medication, provider NPI - Secrets & technical: API keys, passwords, auth tokens, IP addresses, hostnames, URLs - Location: street address, city, state, postal code, country Required Skills - High attention to detail — this is a precision role, not a volume role - Ability to read and navigate diverse file formats (images, PDFs, spreadsheets, JSON, code, plain text) - Understanding of what PII is and isn't — must distinguish real values from placeholders, field labels, and generic references - Comfort producing clean, consistently formatted CSV output - Prior data annotation, content labeling, or data entry experience Nice to Have - Experience annotating NLP or ML training datasets (NER, document understanding) - Familiarity with US document formats: IRS forms, insurance EOBs, medical intake forms, bank statements - Understanding of GDPR, HIPAA, or CCPA — improves judgment on edge cases - Ability to read code and log files (for SECRETS and TECHNICAL label annotation) Deliverables Per Batch - annotations_batch_NNN.csv — one row per file, all columns filled - Turnaround: ~50 files per batch, expected within 2–3 business days Scope: ~500–700 files across phased batches (Phase 1 is image-heavy — you'll be reading a lot of document photos). Ongoing engagement.

We are a fast growing industrials site services company. We have implemented UKG Ready at our company with 120 employees across CA, NV, AZ and OR. We are looking for an Analyst type role to help with payroll entry, payroll reporting, timesheet troubleshooting, onboarding and some other general analytical admin type takes. Specific UKG Ready experience required. West coat time zone preferred.

1. Position Responsibilities As a Security Analyst, your primary focus will be providing cybersecurity and compliance consulting services. Key responsibilities include: Leading clients through audit preparation and readiness assessments to ensure successful certification. Performing detailed procedural audits and control testing against frameworks such as NIST, SOC2, and HIPAA. Developing and refining internal compliance documentation, policies, and procedures for client organizations. Providing expert consulting on remediation strategies to close compliance gaps identified during auditing procedures. 2. Requirements To be successful in this role, you are required to maintain: Proficiency in modern security tooling and compliance methodology. Excellent communication skills to translate complex security risks into actionable business advice. Adherence to strict confidentiality and data protection protocols.

I’m evaluating the acquisition of a small B2B business and am looking for an experienced financial analyst to help me estimate its sustainable, go-forward earnings. A professional firm has already completed a Quality of Earnings report, so I am not looking for another QoE. The main challenge is that the company’s recent results include: * A large revenue spike from one customer * Several years of elevated revenue from another customer that is expected to decline * A mix of recurring customer activity and project-driven revenue I need help analyzing customer-level financial data and determining how much of the company’s recent revenue, gross profit, and EBITDA is likely to continue. The work may include: * Reviewing the existing QoE and updated financials * Analyzing customer-level revenue and gross profit trends * Separating recurring activity from one-time or project-driven revenue * Estimating sustainable revenue, gross profit, and EBITDA * Building base, downside, and upside scenarios * Identifying additional questions or information needed from the sellers This would be a good fit for someone with experience in: * Lower-middle-market M&A or private equity * Buy-side financial analysis * Search funds or independent sponsors * Customer-level revenue analysis * Project-based or irregular revenue businesses * Estimating normalized or sustainable earnings Strong Excel or Google Sheets skills are required. When applying, please briefly describe a similar situation where you analyzed project-driven revenue or customer-specific earnings to estimate a company’s go-forward performance.