Role Description We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and advocate for the finance team's data needs throughout the organization. You will collaborate with Data Engineering on data pipelines, identifying and solving complex data issues, contributing to the accuracy, completeness, consistency, and timeliness of data. The value you will deliver includes: - Maintain Data Sets: Design, build, and maintain scalable data models from our data lake that power financial forecasting, budgeting, and ad-hoc analysis. - SQL Queries: Develop and optimize SQL queries for data retrieval, transformation, and analysis. - Dashboarding & BI: Develop, launch, and maintain automated, executive-ready BI dashboards (Tableau, PowerBI, or Looker). - Cross-Functional Collaboration: Partner closely with Sales Operations, Data Engineering, and Product teams to align disparate data sources (e.g., Salesforce, Stripe, Oracle) into a single source of truth for Finance. - Data Governance: Ensure the absolute integrity and accuracy of financial data used for board meetings, investor relations, and regulatory reporting. - Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time. Qualifications - 3 to 5 years of experience in data analytics, business intelligence, or financial analytics, ideally within a B2B SaaS environment. - Advanced SQL skills are non-negotiable. You can write complex, optimized queries, handle window functions, and manage large-scale data manipulation with ease. - Support automation and process improvements to increase efficiency, scalability, and self-service analytics within the organization. - Proven solid analytical and problem-solving skills, with the ability to independently investigate issues and deliver insights. - Experience with modern data stacks including cloud-based databases. Hands-on experience with data warehousing tools (e.g., Snowflake, BigQuery, Redshift). - Experience with data visualization and BI tools for creating intuitive dashboards (Tableau strongly preferred). - Proven ability to build and manage data pipelines independently, from ingestion to reporting. - Proven excellent communication skills with the ability to explain complex data findings to both technical and non-technical stakeholders. Requirements - Bachelor's degree in Data Analytics, Finance, Economics, Statistics, Information Systems, or a related field, or equivalent practical experience. - Proficiency in Python or R for advanced statistical analysis and predictive modeling is a strong plus. Benefits - The salary range for this role is $120,000-$130,000 annually. - The total compensation package for this position is negotiable and may also include annual performance bonus, ESPP, enhanced time off packages, and benefits. - This job doesn't have an expiration date and will remain open until a qualified candidate is hired. Additional Details - Location requirements: Fully remote within the U.S. - Open to US-based remote candidates, with a preference for PST/MST/CST time zones. EST candidates will be considered if open to working PST hours. - Physical requirements: Must be able to sit for long periods, as well as handle long periods of screen time. - Technology requirements: Reliable, high-speed internet. - Eligible for sponsorship: No. - This position is contingent upon satisfactory completion of a more extensive background check through the Federal Government as a Public Trust Position. - Requirements include (subject to change), but are not limited to, active U.S. Citizenship or green card holder residing in the U.S. for a minimum of 3 consecutive years and working location is in the U.S.

Role Description As a Data Analyst, you will be a foundational architect of our data-driven future. You won't just pull numbers; you will deliver results by uncovering the "why" behind buyer and seller behavior. - Analyze: Partner cross-functionally to identify trends that guide our global business strategy. - Empower: Design scalable, self-serve dashboards (Looker/Tableau) that help your teammates make faster, smarter decisions. - Optimize: Lead efforts to streamline data collection and translate complex business needs into clear data products. - Experiment: Collaborate with Product and Marketing to run A/B tests that directly influence our user experience. Qualifications - 2+ years in data or product analytics. - Proficiency in SQL is required. - An ability to see both the granular details and the "big picture" of a luxury marketplace. - You thrive when succeeding together and can succinctly exchange ideas with both technical and non-technical stakeholders. - A degree in a quantitative field (Statistics, Math, Econ, Business) or equivalent practical experience. Requirements - Must be authorized to work in the United States; employer sponsorship is not available. - We are not sponsoring H-1B, OPTs, or other visa categories for this role. Benefits - Competitive medical/dental/vision benefits, including a $0 single medical plan, with HSA employer contributions. Health plan includes gender affirmation and infertility care. - Flexible PTO, generally expecting employees to take around 15 days/year. - All employees enjoy ownership in 1stDibs in RSUs, through new hire grants, and/or annual refresh grants, if eligible. - The choice to work in our New York headquarters, with monthly in-office meals and mixers, and happy hours, and/or the option to work completely remotely. - Fully paid wellness benefits, including One Medical membership and WellHub. - Fully paid parental leave, leave to care for a family member, and bereavement leave, including reproductive loss. - Company match of donations to 501c3 charities, up to $250/year. - Full benefits package includes FSA, life and disability insurance, EAP, commuter benefits, and more.

• Looking at documents and drawing accurate bounding boxes around the regions that matter — fields, text blocks, tables, stamps, signatures, whatever the project calls for • Labelling and classifying each box correctly according to the annotation guidelines • Keeping your boxes tight and consistent — same standard on document one and document one thousand • Flagging edge cases, ambiguous documents, and gaps or contradictions in the guidelines instead of guessing • Reviewing and correcting your own (and sometimes others') annotations to keep quality high • Helping refine the labelling process so annotation gets faster and more consistent over time • You'll be measured on accuracy, consistency, and throughput — how much high-quality annotated data you produce, not hours logged.

• Supervise and coordinate activities of the e-file teams to ensure optimal performance and productivity. • Develop and implement workflow strategies to improve efficiency and accuracy. • Set and monitor team Key Performance Indicators (KPIs) in alignment with departmental goals. • Provide leadership and development to team leads, including coaching, mentoring, and performance evaluations. • Manage department scheduling and delegate tasks to ensure coverage and timely task completion. • Collaborate with upper management to implement department strategies and process improvements. • Oversee hiring, onboarding, and training of new team members. • Handle performance management, including conducting reviews, managing corrective actions, and executing disciplinary measures as necessary. • Ensure compliance with all relevant company policies, procedures, and regulatory requirements.