Role Description Responsible for accurately and efficiently completing or supporting various routine Consumer Default processes within a team environment to help reduce risk and losses to the Bank normally associated with collection, loss mitigation, repossession, or remarketing functions. Performs key workflow tasks that are time sensitive with various regulation and department policy requirements. Supports more complex processes with high quality and may serve as a SME on core processes. - Responsible for monetary or non-monetary transactions, processing, imaging documents/mail. - Provide excellent customer service to all internal business partners and external clients by way of inbound/outbound calling and/or written correspondence following a positive client experience model. - Complete and maintain with accuracy any documentation for any required logs, system notes, dual control tasks, inventory and forms (operational and legal). - Maintain an understanding of various cross-trained functions to support teammates and any work overflow for seamless execution and business continuity. - Ensure clear and effective communication with leadership and external partners, as applicable, on topics such as inventory, meeting deadlines, reporting and escalating potential production or quality issues and recommendations on improvements. - Meet/exceed established individual and departmental production and quality metrics in accordance with established policies and procedures and ensure proper Federal, State, and regulatory requirements are met. - Process daily workflow queues to ensure all assigned tasks are completed within established timelines and service level agreements. Identify complex issues or gaps and work with management on resolution. - Perform quality checks/inspections for accuracy and assist with new hire training. Qualifications - High school diploma or equivalent - 2+ years financial services or customer related experience - Basic computer applications, such as Windows Operating System and Microsoft Office software products and data entry skills for efficiency - Strong verbal and written communication skills - Ability to work in an area governed by production standards and work under pressure to meet critical deadlines - Strong problem identification and resolution skills on complex issues Requirements - General working knowledge of the various workflow phases of Consumer Default - 2 years’ experience and knowledge in assigned area Benefits - Medical, dental, vision, life insurance, disability, accidental death and dismemberment - Tax-preferred savings accounts and a 401k plan - No less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during the first year of employment - 10 sick days (also prorated) and paid holidays - Eligibility for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan

Role Description EY-Parthenon is looking for a motivated Senior Consultant to join its Analytics & AI practice, with a focus on Data Engineering. This role is ideal for someone with a strong commercial and technical foundation as well as a curious, problem-solving mindset, who is passionate about working with data to support pre-deal and post-deal engagements. You will play a key role in building, shaping, and managing data assets where data is often incomplete, complex, and fragmented. You will work closely with client teams to prepare, structure, and transform data, enabling better decision-making during transactions and helping clients unlock value. Key Responsibilities - Support the project team in day-to-day activities throughout the life-cycle of an assignment – requirements definition, specification, data collection, solution design, development, testing, documentation, implementation, and user training. - Design and build complex database models and insightful visualisation dashboards to perform analysis on large diverse datasets. - Work independently or with a team in designing analytical solutions (data pipelines, visualisations, machine learning models), undertaking proof-of-concepts, and implementing these solutions to help clients to compete effectively in this dynamic environment with the support of Directors and Partners. - Work directly with clients as well as other EY specialist teams to develop formal deliverables for clients including data dashboards (Excel or other data visualisation tools), web hosted solutions, Word reports, and PowerPoint presentations. - Explain complex technical concepts underpinning your analysis in simple terms to clients to help them understand how their business needs are being addressed. - Manage stakeholders’ expectations in relation to deliverables. - Identify risk on the assignment, involving Engagement Manager/ Director / Partner appropriately in its resolution. - Take ownership of your tasks and work collaboratively with members of different grades within and across teams. Qualifications - Degree in a relevant field (e.g. Computer Science, Economics, Mathematics, or similar) or equivalent experience. Requirements - Approximately 2–5 years’ experience in data engineering, data analytics, or related fields, ideally in a consulting or in-house strategy environment. - Experience working with large and complex datasets, ideally in structured databases and distributed systems like Databricks. - Exposure to transaction support or fast-paced delivery environments is beneficial. - Experience in building and managing data pipelines and data models. - Strong working knowledge of data processing and transformation tools and languages. - Experience working with structured and unstructured data sources. - Familiarity with modern data platforms and cloud environments is advantageous. - Strong problem-solving and analytical thinking skills. - Willingness to engage with stakeholders and understand business context. Benefits - Exposure to high-impact deal environments and strategic projects. - Opportunity to work with clients across industries. - Strong focus on learning and development in both technical and consulting skills. - A collaborative and fast-paced team environment.

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.