Senior Data Analyst- jobs at DISYS - 2700 jobs

Rent the Runway (RTR) is transforming the way we get dressed by pioneering the world's first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership. RTR offers designer apparel and accessories from hundreds of brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. About the Team Data is core to our growing business and has been ingrained in the company's DNA since its founding. As a member of the Data Analytics team, you will arm stakeholders with data to measure performance, insights, and drive continuous improvements across the company. The team is responsible for developing and maintaining RTR's core data models, defining and analyzing performance metrics, building reports, and enabling self‑service report solutions. Business Intelligence is an important team within the RTR Customer organization. About the Job We are looking for a Senior Data Analyst to lead high‑impact analytics initiatives and manage key data models that describe our customers and business. In this role, you will partner cross‑functionally with business leaders across the organization. You will own the creation of rich reporting and data visualizations, enabling functional leaders to quickly digest information and make data‑driven decisions. In collaboration, you will define KPIs and set attainable, stretch goals to drive continuous improvement. You will be a key contributor to the culture of the team, and you will have opportunities for growth and leadership as we expand. This is a senior‑level role, requiring strong analytical judgment, ownership, and the ability to operate independently in a fast‑paced, evolving environment. What You'll Do Lead strategic analytics initiatives by partnering closely with cross‑functional teams to identify, scope, and fill data visibility gaps. Work with Product and Engineering teams to ensure we collect the data required to support business objectives. Develop scalable, reusable, and well‑documented data models that power dashboards, reports, and analysis across the organization. Collaborate closely with Data Engineering to design, optimize, and maintain data pipelines, ensuring data availability, accuracy, and efficiency. Analyze key areas of the business to uncover opportunities for optimization, experimentation, and strategic improvements. Define and monitor KPIs to influence decisions throughout RTR. Build, maintain, and monitor robust, user‑friendly Looker dashboards and reports, ensuring stakeholders have access to up-to-date insights. Drive best practices across the Data Team, including data governance, performance optimization, and documentation. About You 5‑7+ years of hands‑on experience with large, complex data sets and delivering analytics solutions in fast‑paced or scaled environments. Bachelor's degree in a quantitative field (e.g., Computer Science, Physics, Mathematics, Statistics…); advanced degrees and/or specializations a plus. Highly proficient in SQL, with the ability to write efficient, optimized queries for large‑scale datasets. Experience building and maintaining dashboards in Looker or similar BI tools. Demonstrated experience with data modeling, dimensional modeling, and dbt. Experience with code management and deployment on GitHub. Demonstrated ability to lead analytics or reporting projects end‑to‑end, from scoping to stakeholder communication. Ability to communicate effectively with a wide range of audiences, including business stakeholders, data engineers, and product teams. Experience working with event data or user/product analytics tools (e.g., Heap) is a plus. Passion for data and its fundamental ability to create value. Extremely curious and excited to dive into complex problems. Self‑driven, proactive, and comfortable operating with ownership and ambiguity. Benefits Paid Time Off including vacation, paid bereavement, and family sick leave. Universal Paid Parental Leave for both parents + flexible return to work program. Paid Sabbatical after 5 years of continuous service. Exclusive employee subscription and rental discounts. Comprehensive health, vision, dental, FSA and dependent care from day 1 of employment. 401(k) match. Company‑wide events and outings. Hybrid work; individual contributors on the tech team follow a sprint schedule with alternating fully remote weeks and working remotely two days per week, in accordance with Company policies. Salary The anticipated base salary for this position is $140,000 to $175,000. The actual base salary offered will depend on a variety of factors, including but not limited to the qualifications of the individual applicant, years of relevant experience, level of education attained, certifications or other professional licenses held. Candidate Privacy By submitting your application below, you agree that you have read and acknowledge Rent the Runway's Candidate Privacy Policy. Equal Opportunity Employer Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee based on any legally‑recognized basis, including, but not limited to: race, color, religion, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, gender identity, age (40 and over), national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed service member status or any other status protected by federal, state or local law. #J-18808-Ljbffr

A leading technology firm in San Jose is seeking a Senior Product Manager to lead the long-term vision and modernization of its core Data Platform. This role demands a blend of strong product strategy skills and technical depth. The candidate must possess over 6 years of experience in product management, particularly with enterprise platforms. Key responsibilities include defining product strategy, leading cross-functional teams, and aligning strategic outcomes. This is a high-influence position requiring excellent communication skills and customer empathy. #J-18808-Ljbffr

A leading technology company is seeking a Business Development Principal Lead for Data to support AI model development. This role involves sourcing third-party data partnerships and collaborating with Google DeepMind researchers. Candidates should have over 10 years of experience in business development and partnerships, including a master's degree. The salary ranges from $168,000 to $249,000 plus bonuses, equity, and benefits. #J-18808-Ljbffr

A leading technology firm in Mountain View, CA, is seeking a Senior Research Staff Data Scientist to innovate in AI methodologies, drive research across teams, and shape strategic decisions. This role requires a Master's degree and deep expertise in analytics, along with at least 10 years of relevant experience. A strong background in coding and statistical analysis is essential. The position offers a competitive salary ranging from $248,000 to $349,000, alongside bonuses and equity. Join a dynamic team pushing the boundaries of data science. #J-18808-Ljbffr

A leading fashion technology company based in New York is seeking a Senior Data Analyst to drive high-impact analytics initiatives. You will collaborate with cross-functional teams to create dashboards and data models that inform business decisions. The ideal candidate has over 5 years of experience, strong SQL skills, and a passion for data. Benefits include flexible working options, comprehensive health coverage, and a competitive salary ranging from $140,000 to $175,000 based on experience. #J-18808-Ljbffr

A leading technology company based in Mountain View, California, seeks a Senior Research Data Scientist to enhance quality and manufacturing through data-driven decision-making. This role involves collaborating with stakeholders to translate business questions into actionable analysis, employing advanced statistical tools and coding skills in Python, R, and SQL. The position offers a competitive salary range of $166,000 - $244,000, along with bonuses and equity benefits. #J-18808-Ljbffr

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business. About the role Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting recommendations and personalization products. In this role, you will leverage data analytics to support and improve our recommendations and personalization initiatives, identifying trends, mitigating risks, and providing actionable insights. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. For California Only - The estimated annual salary for this position is between $132,000-$254,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. Roku will be accepting applications for this position until November 27, 2025 [or until the position filled]. What you'll be doing Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests Translate complex analyses into clear executive narratives and dashboards, driving consensus on priorities and accelerating delivery across the board. Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions Develop necessary data pipelines to power automation, validation and reporting Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our mobile platform Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback Providing feedback directly to leadership on performance of various initiatives and untapped opportunities We're excited if you have 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 5+ years of experience across consumer product, digital media or entertainment industries Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis Hands on experience with visualization tools like Tableau or Looker Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit ************************************ #J-18808-Ljbffr

A leading technology company is looking for a Senior Product Data Scientist to improve YouTube growth metrics. The role requires expertise in data analysis using SQL, Python, or R, with a bachelor's degree in a quantitative field. Responsibilities include performing rigorous analyses and providing actionable insights to guide product development. This full-time position offers a base salary range of $156,000-$229,000 along with bonuses and benefits. #J-18808-Ljbffr

corporate_fare Google place San Jose, CA, USA Apply Qualifications Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree). Preferred qualifications Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience working autonomously, acting as a product owner to deliver results for global teams. Experience in an inter-disciplinary/cross-functional field with an interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation. Ability to translate analysis results into business recommendations, and excellent communication skills. About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. The Android and Business Communication (ABC) Data Science (DS) team's mission is to Power ABC products decisions with Data Science. The team solves complex business problems using quantitative methods to influence organizational strategy. The ABC DS team provides investigative leadership across three key product pillars: Consumer Messaging (Google Messages and Rich Communication Services (RCS), Messages business generation and Protection, and Calling including Telephony. Through our insights, we empower product teams to deliver high-quality, safe, and seamless communication experiences for billions of Android users. In this role, you will help serve Google Messages worldwide user base of over 2 billion people. You will provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. You will take the initiative as a data scientist, and apply your investigative and statistical toolkit to drive organizational and strategic decisions. Android is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Design and implement methodologies, dashboards and presentations partnering with stakeholders across multiple functions and locations. Provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. Serve as an analytics expert for your partners, using numbers to help them make better decisions. Weave stories with meaningful insight from data, making critical recommendations for your fellow Googlers in Engineering and Product Management. Use your investigative and statistical toolkit to tally up the numbers and communicate your findings to a team leader. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading technology company in San Jose, CA, is seeking a Senior Product Data Scientist to provide analytics expertise for global product teams. In this role, you'll use your statistical toolkit to inform decisions for millions of users and facilitate insights and recommendations across functions. You will collaborate with partners, crafting meaningful narratives from data to drive product strategy. The ideal candidate has extensive experience with analytics, statistical methods, and coding, as well as strong communication skills. A great opportunity awaits for those passionate about leveraging data to influence outcomes. #J-18808-Ljbffr

A leading streaming technology company in San Jose is seeking a Sr. Data Scientist to support recommendations and personalization products. You'll leverage data analytics to identify trends, mitigate risks, and provide actionable insights while collaborating closely with product management and engineering. The ideal candidate has over 5 years of experience in data science and is proficient in SQL, Python, and A/B testing. This role offers competitive compensation and a comprehensive benefits package. #J-18808-Ljbffr

Google - Mountain View, CA, USA; New York, NY, USA (Preferred location) Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA. Requirements: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of work experience with a Master's degree. Preferred qualifications Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience with Gen AI Evaluation Science, ML and modern AI. Experience working with peers and more executive stakeholders. Ability to manage a product quality flywheel to inform iterations in model and product development. About the job Google Shopping is a comprehensive product search engine, a fast‑growing product ads business, and an everyday essentials marketplace. We aim to revolutionize shopping by building great user experiences that bring users, retailers, and manufacturers together. The Consumer Shopping Data Science team works on Shopping products on various surfaces including .com, AI Mode, and Gemini. We are a shopping feature data science (DS) team within the Consumer Shopping DS, focused on building and evaluating AI‑driven shopping experiences in Search (e.g., AI mode, AI Overview, etc.). As a Senior Data Scientist, you will lead analytics and measurement for key shopping features, working closely with Product and Engineering to shape development, experimentation strategy, and long‑term roadmap decisions. You will play a critical role in defining how we build and measure user experience within emerging AI‑powered features, delivering insights that directly influence product evolution. By applying advanced experimentation and analysis, you will drive data‑informed decisions across our AI‑driven shopping surfaces. The US base salary range for this full‑time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Lead analysis to shape the direction of AI‑powered shopping features in Search and AI mode, including areas such as brand profile, user generated content and next‑generation shopping experiences. Design and analyze A/B experiments to evaluate shopping feature impact and trade‑offs. Develop and operationalize novel measurement methodologies to quantify user behavior, engagement, quality, long‑term user value for evolving shopping features. Conduct post‑launch and longitudinal analyses to understand the long‑term impact, identify growth opportunities, and inform future product development. Partner closely with Product, Engineering and User Experience (UX) to translate ambiguous product questions into clear frameworks and actionable insights. Equal Employment Opportunity Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A leading freelance data services provider is seeking a Data Moderator-Analyst focusing on AI Data Collection. This role requires a Bachelor's degree in a quantitative field and 1+ years of experience in data analysis. Key responsibilities include executing data collection processes, analyzing data trends, and creating reports for stakeholders. Join us to be part of a trusted data community, with an hourly pay rate between $17.00 and $20.00, onsite in specified locations. #J-18808-Ljbffr

⭐ - Featured Role | Apply direct with Data Freelance Hub This role is for a Data Moderator-Analyst focused on AI Data Collection, requiring a Bachelor's in a quantitative field and 1+ years of relevant experience. Contract length is 4-6 months, with a pay rate of $17.00 - $20.00 per hour, onsite in specified locations. Locations Brooklyn - 1090 Carroll Street, Apt 1R, Brooklyn, NY 11225 Bordentown - 348 Farnsworth, Bordentown, NJ Jersey City - 932 Summit Ave, Jersey City, NJ 07307 Las Vegas - 1237 Darmak Drive, Las Vegas, NV 89102 Atlanta, GA & Cleveland, OH - Onsite Key Responsibilities Data Sourcing and Collection: Execute and monitor data collection processes to acquire diverse, high-volume, and high-quality data sets essential for training AI/ML models. Collaboration: Work with Data Engineers and Scientists to define and implement robust data collection methodologies and pipelines. Analysis and Reporting: Conduct descriptive and diagnostic analysis on collected data to identify trends, patterns, and issues that could impact model performance. Statistical Validation: Utilize statistical methods to validate data samples and test hypotheses related to data distribution and model requirements. Reporting & Visualization: Create clear, concise reports and visualizations (e.g., dashboards) to communicate data collection progress, quality metrics, and key findings to technical and non-technical stakeholders. Required Qualifications Bachelor's degree in computer science, data science, statistics, mathematics, or a related quantitative field. Freshers/ Recent Graduate/Interns/1+ years of experience working as a Data Analyst or in a similar role involving extensive data manipulation and quality assurance. Soft Skills Analytical and Problem-Solving: Proven ability to analyze complex data issues and develop practical, data-driven solutions. Communication: Excellent written and verbal communication skills to articulate technical findings clearly to diverse audiences. Attention to Detail: Meticulous approach to data management and quality control, critical for AI performance. Collaboration: Ability to work effectively within a cross‑functional team of Data Scientists, Engineers, and Domain Experts. Freelance data hiring powered by an engaged, trusted community - not a CV database. Pay: $17.00 - $20.00 per hour Work Location: In person #J-18808-Ljbffr

Immediate need for a talented Data Analyst. This is a 06+months contract opportunity with long-term potential and is located in Dallas TX (Hybrid). Please review the job description below and contact me ASAP if you are interested. Pay Range: $40 - $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Requirements and Technology Experience: Key skills; Data Analyst, Data Modelling, Data Quality, Data Governance Hands on technical Data Analysis experience SQL and Python is a must to be able to code and demonstrate coding experience (will solve coding problems during interview) Data Analysis process, Data Modeling, Data Quality, Metadata, Data Governance knowledge is preferred. Healthcare knowledge will be preferred. Microsoft Azure and Fabric experience will be preferred. Our client is a leading Healthcare Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

A leading technology company is seeking a Data Architect in San Jose, California. The role involves building and maintaining data infrastructure for ML products, managing data pipelines, and ensuring data quality for AI security applications. The ideal candidate has over 8 years of experience and a strong background in backend datastores, programming, and SQL. Competitive salary and diverse benefits are offered. #J-18808-Ljbffr

Platform Architect / Data Architect - 6‑12 month contract, on‑site in San Francisco, CA. Pay rate TBD. This role focuses on data architecture, data governance, and cloud‑based data platform modernization. Key Skills Data architecture and data modeling (conceptual, logical, physical) Cloud platforms (AWS, Azure, GCP) Data governance, security and compliance frameworks Data lakes, data warehouses, and data lakehouse integration Responsibilities Define and implement enterprise‑wide data architecture standards and best practices. Develop conceptual, logical, and physical data models for complex systems. Drive modernization initiatives, including migration to cloud‑based data platforms. Evaluate and recommend tools, technologies, and frameworks for data management. Architect solutions leveraging cloud platforms (AWS, Azure, GCP), data lakes, and data warehouses. Ensure integration of structured and unstructured data sources. Establish data governance policies, security standards, and compliance frameworks. Implement data quality, lineage, and metadata management processes. Partner with business stakeholders, data engineers, and analytics teams to align architecture with business goals. Mentor junior architects and engineers on best practices and emerging technologies. Evaluate new and emerging technologies and assess their potential use for clients. Qualifications Experience as a performance architect or equivalent data architecture leadership role. Additional Information Freelance data hiring powered by an engaged, trusted community-not a CV database. #J-18808-Ljbffr

CV Resources is partnering with a real estate firm in search for a MRI Super User (MRI Web) with a strong property accounting background to serve as the functional and reporting expert for the MRI platform. This role will own MRI data, reporting, queries, and system optimization, acting as the bridge between Accounting, Property Management, and IT/Systems. The ideal candidate is highly proficient in MRI Web, can write and modify queries, build custom reports, and understands how property accounting workflows, lease data, CAM, and financial reporting should function inside MRI. Key Responsibilities MRI System Ownership & Reporting Serve as the MRI Web subject matter expert for the organization Build, modify, and maintain MRI queries, reports, and dashboards Design and automate standard and ad-hoc reports for Accounting, Property Management, Asset Management, and Leadership Support month-end, quarter-end, and year-end reporting needs from MRI Ensure data integrity across leases, tenants, properties, GL, and CAM structures Troubleshoot data, reporting, and configuration issues in MRI Business & Accounting Support Partner closely with Property Accounting and Property Management teams to support: Financial reporting Lease administration CAM reconciliations Budgets and forecasts Translate business and accounting requirements into MRI configurations and reporting solutions Support lease setup, amendments, CAM structures, and billing rules in MRI Assist with system enhancements, process improvements, and reporting automation System Administration & Optimization Own MRI Web configuration, security roles, and user access (in partnership with IT) Document system processes, reporting logic, and data structures Identify opportunities to improve reporting speed, accuracy, and usability Serve as primary liaison with MRI support and consultants as needed Qualifications Required 3+ years of hands-on MRI (preferably MRI Web) experience Proven experience writing MRI queries and building custom reports Strong property accounting background (commercial real estate preferred) Solid understanding of: General ledger Lease administration Tenant billing CAM Financial statements Advanced Excel skills

A leading AI research firm based in San Francisco is seeking a hands-on technical leader to manage a team focused on developing forecasting capabilities. This role demands collaboration with various stakeholders to ensure the integration of forecasting insights into strategic decision-making. Ideal candidates have extensive experience in data science, demonstrate excellent communication skills, and hold an advanced degree in a quantitative field. The position follows a hybrid work model and offers competitive compensation. #J-18808-Ljbffr