At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: Description We are seeking a highly skilled Data Analyst to join our Analytics Support team to serve customers across the property insurance and restoration industries. As a data analyst you will play a crucial role in developing methods and models to inform data-driven decision processes resulting in improved business performance for both internal and external stakeholder groups. You will be responsible for interpreting complex data sets and providing valuable insights to enhance the value of data assets. The successful candidate will have a strong understanding of data mining techniques, methods of statistical analysis, and data visualization tools. This position offers an exciting opportunity to work in a dynamic environment, collaborating with cross-functional teams to support decision processes that will guide the respective industries into the future. ​Responsibilities - Collaborate with cross-functional teams to understand and document requirements for analytics products. - Serve as the primary point of contact for new data/analytics requests and support for customers. - Act as the domain expert and voice of the customer to internal stakeholders during the analytics development process. - Develop and maintain an inventory of data, reporting, and analytic product deliverables for assigned customers. - Work with customer success teams to establish and maintain appropriate customer expectations for analytics deliverables. - Create and manage change order tickets on behalf of customers within internal frameworks. - Ensure timely delivery of assets to customers and aid in the development of internal processes for the delivery of analytics deliverables. - Work with IT/Infrastructure teams to provide customer access to assets and support internal audit processes to ensure data security. - Create and optimize complex SQL queries for data extraction, transformation, and aggregation. - Develop and maintain data models, dashboards, and reports to visualize data and track key performance metrics. - Conduct validation checks and implement error handling mechanisms to ensure data reliability. - Collaborate closely with stakeholders to align project goals with business needs and perform ad-hoc analysis to provide actionable recommendations. - Analyze large and complex datasets to identify trends, patterns, and insights, and present findings and recommendations to stakeholders in a clear and concise manner Job Qualifications: - 5+ years’ experience data modeling and analysis - Bachelor’s degree in computer science, data science, statistics, or a related field is preferred. - Advanced knowledge of data analysis tools such as Excel, Tableau or Power BI - Demonstrated expertise in Powr BI creating reports and dashboards, including the ability to connect to various data sources, prepare and model data, and create visualizations. - Experience with Power Query for importing, transforming, and shaping data. - Expert knowledge of DAX for creating calculated columns and measures to meet report-specific requirements. - Proficiency in SQL with the ability to write complex queries and optimize performance. - Experience with ETL processes, data pipeline and automation a plus. - Strong analytical and problem-solving skills - Excellent attention to detail and the ability to work with large datasets. - Effective communication skills, both written and verbal. - Excellent visual communications and storytelling with data skills - Ability to work independently and collaborate in a team environment The anticipated salary range for this position is $75,000 CAD - $85,000 CAD annual base. Qualifications, location of candidate and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from this range. #li-remote Annual Pay Range 0 - 0 Thrive with Cotality At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life. Highlights include: - Time off: Generous vacation accrual and 11 paid holidays, plus well-being and volunteer time off. - Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend. - Health: Extended Healthcare and Dental plan with mental health and wellness support offerings. - Retirement: Registered Retirement Savings Plan (RRSP) with company match. - Financial Perks: $500 annual well-being stipend - Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more! Cotality's Diversity Commitment:​ Cotality is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. ​ We are better together when we support and recognize our differences. ​ Equal Opportunity Employer Statement:​ Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, record of offences, age, marital status, family status or disability. Cotality maintains a Drug-Free Workplace. ​ ​ Please apply on our website for consideration.​ Privacy Policy Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation fintech company using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: We are seeking an experienced, technically strong Home Loans Senior Data Analyst to own end-to-end analytics for our residential mortgage portfolio and translate performance insights into a measurable feedback loop that improves lending strategies. In this role, you will analyze loan performance across the lifecycle (origination → servicing → loss/prepay outcomes), build scalable reporting and monitoring, and partner closely with Underwriting, Credit Policy, Operations, Compliance, Capital Markets, 2LOD and Product to turn data into decisions. You will be responsible for defining the “truth” of portfolio performance, identifying emerging risk and opportunity signals, and driving changes to guidelines, overlays, operational processes, and product strategy then measuring impact. Joining SoFi means you’re part of a company reshaping financial services through technology, combining the speed of a startup with the scale and rigor of an established industry leader. This is an opportunity to directly influence Home Loans credit risk strategy within a high-growth, high-impact team. What you’ll do: Own portfolio performance analytics (core) - Define and maintain portfolio performance KPIs across credit, profitability, and risk (e.g., delinquency/roll rates, loss rates, severity, prepayment speeds, cure rates, early payment defaults, repurchase risk, defect rates). - Perform cohort/vintage and segmentation analysis by credit score, LTV/CLTV, DTI, lien position, documentation type, occupancy, channel, state/metro, property type, and investor/product. - Build and maintain executive dashboards and automated reporting that clearly explain what changed, why it changed, and what to do next. - Partner with Data Engineering to define data requirements and create new data sources as required AND/OR create summarized tables as needed, ensuring data structures support scalable analysis and consistent reporting. Concentration, credit risk, and early warning monitoring - Monitor and report portfolio concentration limits and emerging risk exposures (credit attributes, geography, product/investor mixes). - Develop early warning indicators that proactively identify deteriorating performance (e.g., delinquency migration, geographic stress, valuation drift, policy exception trends). - Track portfolio risk related to market shifts (home price changes, rate environment, regional decline signals) and quantify impact to credit outcomes. Collateral and valuation analytics - Order, track, and report refreshed collateral values across the portfolio; analyze LTV migration and identify segments with increasing collateral risk. - Partner with servicing/operations to ensure collateral refresh processes are auditable, timely, and decision-relevant. Credit policy, investor alignment, and feedback loop to strategy - Conduct gap analyses across investor guidelines and product types; translate guideline differences into data-backed recommendations for eligibility rules, overlays, and workflow controls. - Review loan defects, exceptions, and deficiencies; perform root-cause analysis and quantify performance impact (loss, repurchase, cycle time, fallout). - Create a closed-loop learning system: - Identify drivers of performance (risk and profitability) - Recommend strategy changes (policy, pricing, operational controls, product) - Implement with partners - Measure results via before/after analysis, monitoring, and clear success metrics Cross-functional delivery & technical execution - Partner with Product, Data Engineering, and business stakeholders to deliver analytics solutions (dashboards, metric definitions, datasets, alerts) with strong documentation and governance. - Lead the execution of analytics initiatives using structured project practices (requirements, timelines, stakeholder communication, UAT, rollout). - Ensure data integrity: metric definitions, reconciliations, QA checks, and consistent reporting across teams. Skills that make someone successful in this role - Portfolio analytics expertise: segmentation, vintage analysis, trend attribution, and performance driver identification. - Decision science mindset: hypothesis-driven analysis, measurement design, and quantifying trade-offs (risk vs. growth vs. profitability). - Data rigor: reconciliation discipline, metric governance, documentation, and repeatable processes. - Business translation: turning analysis into clear actions for underwriting strategy, policy changes, and operational improvements. - Influence without authority: partnering across Underwriting, Ops, Compliance, Capital Markets, and Product to implement change. - Execution strength: delivering analytics products (dashboards, datasets, alerts) reliably and improving them over time. Preferred qualifications (nice to have) - Advanced degree (MS/MBA/PhD) in a quantitative field. - Familiarity with modern data stacks (e.g., Snowflake/BigQuery/Redshift, dbt, Airflow) and version control (Git). - Experience supporting capital markets needs: investor reporting, securitization support, due diligence, credit tape analysis, and guideline overlays. - Experience designing and evaluating policy tests/experiments (A/B testing where applicable, quasi-experimental measurement, monitoring for unintended impacts). - Tools: JIRA/Confluence, Airtable, and project planning practices for analytics delivery. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

• Du unterstützt das Team bei der Datenmodellierung und der Umsetzung von ETL‑Prozessen sowie bei der Entwicklung erster BI‑Komponenten • Du begleitest die Anbindung von Primärsystemen an unser unternehmenseigenes Data Warehouse • Du wirst Teil spannender Projekte, z. B. bei der Weiterentwicklung unseres bestehenden Data Warehouses oder bei der Integration neuer Gesellschaften • Du kümmerst dich um die Aufbereitung, Bereinigung und Transformation von Daten (ETL) und sorgst für stabile Datenprozesse • Du testest neue BI‑Komponenten, validierst Analyseergebnisse und dokumentierst deine Ergebnisse klar und nachvollziehbar.

It's a new day with a new opportunity at 8am! About the role: The Data Analytics team is seeking a Senior Data Analyst to support key business functions including FP&A, Partnerships, and Product by delivering high-quality analytics, automated reporting, and actionable insights. This role sits at the intersection of analytics, finance, and business strategy, and will partner closely with Data Engineering to build scalable data models and workflows that power financial and partnership analysis. The ideal candidate is highly technical, comfortable working with complex datasets, and experienced in translating ambiguous business questions into well-structured analyses and clear narratives for senior leaders. About us: At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters. Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well! What you'll do: - Perform ad hoc analysis to determine identify trends and underlying root causes across 8am’s product ecosystem - Work with Data Engineering to automate data transformations based on findings - Work cross-functionally with other teams like Finance, Accounting, Partnerships and Product to convert data into insights - Manage all steps of the data lifecycle (Collection, measurement, analysis, interpretation, presentation), provide qualitative and quantitative analysis and be able to present findings to stakeholders along with recommendations supported by rigorous analysis and statistics. - Translate and summarize data into formats that help stakeholders make decisions quickly - Develop rich, interactive visualizations to help stakeholders understand their area of the business and translate insights to data-driven decisions - Communicate insights clearly through written summaries, presentations, and data storytelling tailored to both technical and non-technical audiences - Analyze historical data, define best practices, and identify opportunities for optimization. - Gather Data from Internal and External Sources as needed to provide the full view of problems or opportunities - Explore the data and discover patterns, meaningful relationships, anomalies and trends. - Handle multiple projects and meet deliverables About you: - You have a Bachelor’s degree, preferably in a Quantitative field (Statistics, Business, Computer Science, Engineering) or equivalent experience - You can perform advanced data transformations in SQL and Excel - You are experienced in transforming, analyzing, and visualizing data in Python - Experience using GenAI tools (Claude, ChatGPT, etc) to create interactive data tools - Demonstrated experience leveraging Sigma and other business intelligence and data visualization platforms - Experience working with modern data stacks, including cloud data warehouses (e.g., Snowflake, Redshift) - Prior exposure to experimentation, cohort analysis, or product usage analytics - 4+ years experience in banking, payment processing, or other finance technology - 2+ Experience in B2B SaaS software or other subscription-based businesses - You are a team player with a positive and can-do attitude, excellent interpersonal skills, inquisitive, self-starter, energetic and striving in a fast-moving environment. - Ability to independently scope ambiguous problems, structure analyses, and deliver actionable recommendations and solutions - You have strong communication skills, written and verbal; ability to present data and its implications in a clear, concise manner; balancing technical and business perspectives - Additional Information The annual salary range for this position is $90,000 to $120,000. The salary range for performing this role outside of the US / Austin / California may differ. 8am is committed to offering competitive, fair and commensurate compensation and has provided an estimated pay range for this role. Actual compensation may vary based on job-related knowledge, skills, experience and education. Why 8am: At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day. Here’s how we support our 8Team: - Health Insurance Coverage: We offer our 8Team a variety of medical, dental, and vision plans, designed to fit your needs, including a 100% company-paid HDHP plan for employees. - Financial perks: We offer a competitive compensation and benefits package including annual bonuses, equity options and 401(k) or RRSP if in Canada, with a company match for all team members. - Time for what matters: Flexible Time Off, paid holidays, and a parental leave program for our new parents. - Wellness: Wellness stipends, mental health support, and one-on-one nutrition coaching. - Learning and Development: Continuous learning through 8am.edu, leadership programs, professional development funds, and individually focused talent development. - Giving back to the communities around us: Participate in our charitable matching gift program, paid time off for volunteer service, and company-sponsored volunteer events (both local and virtually). - Engagement: Virtual and in-person team-building events, quarterly award recognition through our Rise & Shine Award of Excellence Program, and our peer-to-peer appreciation platform. At 8am, we don’t just offer benefits - we create an environment where people can thrive, grow, and make a real impact every day. Diversity, equity & inclusion at 8am: At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach. Security advisory: Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology. As such, our Talent Acquisition Team only follows legitimate hiring practices. We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process. All interviews take place over phone call, Zoom/Google Meet or in person. All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.