Role Description As an AI Trainer - Annotator, your contribution will help train AI models, shaping how they understand and interact with the world. This isn't just traditional feedback - you'll be evaluating and improving how AI reasons, responds, and handles real-world tasks like online shopping experiences. While each project involves unique tasks, contributors may: - Evaluating AI-generated responses across a range of tasks, including e-commerce and online shopping scenarios, drawing on your own experience as an online shopper. - Providing honest, detailed, and useful feedback that helps improve model and agent performance. - Following style and quality standards to ensure consistency. - Collaborating with Quality Assurance Specialists to refine and improve content. Qualifications - Bachelor’s degree in any subject field; - At least 1 year of professional or educational experience in any field; - Strong written English (C1/C2); - Stable internet connection. Requirements - Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Benefits - For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. - On this project, contributors can earn up to $18 per hour equivalent, depending on their level and pace of contribution. - Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Title: Junior Data Analyst Location: Burbank, California, 91505, United States Job Description: Job category: Data Analytics Requisition number: JUNIO001172 Full-time Hybrid Description It’s more than just numbers. Miller Kaplan is a different kind of CPA firm; we believe in building a legacy—yours. We want to give our clients the very best, and we understand that begins with helping our employees be their best through professional mentorship, life-work integration, and a sense of community. That starts with you! Job Summary: The Junior Data Analyst in the Data Analytics Department supports both external client engagements and internal practice groups by delivering data-driven insights and solutions. This role offers the opportunity to contribute to high-impact projects, collaborate across teams, and develop analytical expertise within a fast-growing practice area. Success in this role requires the ability to prioritize effectively and perform in a fast paced, deadline driven environment while communicating with the team. Supervisory Responsibilities: - None. Duties/Responsibilities: - Examine collected data to identify trends, outliers, and patterns, providing actionable insights to enhance client efficiency, profitability, or other specified objectives. - Gather and organize data from a variety of sources, including departmental heads, subject matter experts, reports, surveys, forecasts, and budgetary documentation, ensuring accuracy and completeness. - Convert reports into structured databases. - Design and implement secure, efficient, and accurate databases. - Perform data cleaning, transformation, and normalization to ensure consistency and accuracy. - Maintain data integrity and quality controls through validation checks and auditing. - Assist with query development (SQL) to support reporting and analysis. - Document database processes, definitions, and data dictionaries for transparency. - Collaborate with senior analysts or IT teams to support database performance tuning and troubleshooting. - Ensure compliance with data security, privacy, and access control. - Assist in developing and maintaining Python scripts to automate recurring data tasks, reporting, and file processing. - Support the development of ETL workflows that automate data cleaning, validation, and reconciliation to convert raw data into structured, reliable formats. - Apply basic VBA scripting within Excel to streamline reports, calculations, and client deliverables. - Document automation steps and maintain clear records for knowledge sharing and future improvements. - Retrieve, organize, and analyze data from databases to produce accurate and actionable reports. - Build and maintain interactive dashboards in Power BI, using visualization best practices to highlight key metrics and business trends. - Develop automated reporting solutions to reduce manual effort and improve reliability. - Present findings to management and clients with clear, data-driven insights that support decision-making. - Identify potential strategies to address issues uncovered during data analysis and provide well-reasoned suggestions for improvement. - Stay current on best practices and emerging trends in data storage, management, and analytics to ensure the firm utilizes state-of-the-art solutions, as well as the ability to apply new knowledge quickly. - Participate in the planning, execution, and monitoring of data-driven projects, ensuring timely and successful completion. - Work closely with team members, clients, and other stakeholders to support data-related initiatives and provide actionable recommendations. - Demonstrate the ability to manage multiple priorities and deliver accurate work in a fast paced, deadline driven environment. - Perform other related duties and projects as assigned. Education and Experience: Required: - Bachelor’s degree in accounting, Finance, Economics, Data Science, Statistics, Mathematics, Computer Science, Quantitative Analysis, or related field. Required Skills/Abilities: - Strong analytical thinking with high attention to detail and accuracy. - Effective communication and presentation skills for staff and stakeholders at all levels. - Excellent organizational and time management skills; able to work independently and proactively. - Proficient in Microsoft Excel (formulas, pivots, Power Query, Power Pivot, DAX, M Code) and the broader Microsoft Office Suite. - Proficient in programming with Python or SQL. - Proficient with data visualization tools such as Power BI or Tableau. - Understanding of database design, structure, and query languages. - Familiarity with statistical methods (e.g., linear regression, logistic regression). - Respect for controls documentation and audit trails. - Ability to work in a fast-paced environment. Preferred: - Experience with relevant Python libraries (e.g., pandas, tkinter, openpyxl/xlwings, numpy, PDFplumber, sk-learn). - Experience with Machine Learning models and methodologies (Supervised/Unsupervised). - Familiarity with OCR methodologies and tools. - Familiarity with VBA (Visual Basic). - Familiarity with Azure fundamentals. - Prompt engineering and efficient use of utilizing AI. - Some exposure to Caseware IDEA software or similar audit/analytics tools. Physical Requirements: - Prolonged periods sitting at a desk and working on a computer. - Must be able to lift up to 15 pounds at a time. - Must be willing to attend in-office meetings when required. Benefits LIFE: - Competitive Salary: We value your dedication and hard work. We offer a competitive salary of $60,000-$65,000 per year for this role. - Generous Paid Time Off: Start with 20 days and watch it grow, plus 2 extra days annually for managers. - Comprehensive Healthcare: Medical options include HMO, PPO, HDHP, with fully covered dental and vision for you. - Flexible Spending Accounts & Health Savings Accounts: Manage healthcare expenses conveniently with a benefits debit card. - Employee Assistance Program: Confidential support for personal or work-related challenges. FAMILY: - Hybrid & Remote Flexibility: Work-life balance matters! Enjoy flexibility based on your role. - Insurance Benefits: Basic life insurance, voluntary life insurance, and long-term disability coverage. - Dependent Care and Pet Insurance: Covering loved ones, furry or not, with flexible spending accounts and pet insurance. - Bereavement Paid Time Off: Time to grieve and heal without work worries. - Sabbatical and Personal Leave Options: Recharge and refocus with time off for personal needs. BUSINESS: - Social Events: Networking and unwinding at virtual and in-office firm social events. - Community Involvement: Volunteering events that give you and your team a chance to give back and grow stronger together. - Referral Bonuses: Earn rewards for growing our team and client base. - Commuter Benefits: Funds for transit and parking to ease your daily commute. - Professional Development: Reimbursement for licenses, memberships, CPE allowance, and access to classes through Becker. DREAMS: - Retirement Plans: Tailored 401(k) Profit Sharing Plan for your financial future. - Support for Professional Certifications: Assistance on your journey to CPA or CFE, including study materials, exam reimbursements, and bonuses. - Leadership Development and Mentorship: Personal and professional growth through mentorship programs and our firm’s competency model (Blueprint for Development). Ready to embark on a fulfilling career journey with us? Join our team and unlock a world of opportunities and support! Miller Kaplan does not accept unsolicited candidates, resumes, or referrals from staffing agencies or third parties unless there is a signed agreement in place. Any submissions to any employee or owner of Miller Kaplan without a pre-existing agreement will be considered Miller Kaplan’s property and not subject to fees. For existing agreements, a role must be approved by the People & Culture department in writing and open to external search; otherwise, submittals and referrals will be considered Miller Kaplan property and not subject to fees. For inquiries regarding referrals or contracts, please contact Miller Kaplan is an equal opportunity employer and will consider all qualified applicants for employment, without regard to race, color, religion, sex, national origin, disability, or any other legally protected status in accordance with applicable federal, state, and local laws. We also consider qualified applicants with criminal histories, in compliance with federal, state, and local regulations. Miller Kaplan is unable to sponsor applicants for employment visas now or in the future, unless otherwise specified in the job posting. Miller Kaplan participates in E-Verify. Go to https://www.uscis.gov/e-verify to learn more.

Role Description Turo is seeking a Data Analyst to join our team and turbo-charge Turo’s growth in the US. The Data Analyst will have the opportunity to liaise with many cross-functional teams and executives across the entire company to drive growth initiatives. The ideal person for this role is passionate about data, growth, product and marketplaces and will be able to leverage all of our data to help our business development and host success teams make the best possible decisions. - Analyze business performance trends and provide insights to inform decisions and identify opportunities. - Collaborate with Product and Operations teams to execute and measure A/B tests. - Conduct exploratory analysis to uncover product insights and solve business challenges. - Support ad-hoc analytical projects aligned with Turo's strategic priorities. - Present findings to stakeholders and work with cross-functional teams to ensure rapid execution and iteration. - Develop new dashboards for performance metrics, maintain existing ones, and ensure their accuracy. - Work closely with Data Engineering and BI teams to improve reporting infrastructure. - Maintain intellectual honesty and integrity throughout all tasks. - Analyze marketplace datasets and the interaction between supply and demand to identify opportunities, develop actionable recommendations, and test insights. - Analyze and track metrics related to revenue optimization, pricing, and user retention to support business growth. Qualifications - Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Mathematics, or closely related quantitative discipline. - Three (3) years of experience in the job offered or in any occupation in related field. - 3 years of experience writing complex SQL queries to extract and analyze data and to produce aggregated datasets for simplified analytics from large relational databases, including the use of advanced query techniques such as CTEs and window functions. - 3 years of experience using business intelligence tools to design and maintain dashboards used to communicate findings to stakeholders and to conduct deep dive analyses and identify trends and/or outliers in the data. - 2 years of experience using Python to perform data analysis, automation, or visualization tasks, including experience with data wrangling and visualization libraries such as pandas, matplotlib, and seaborn. - 1 year of experience analyzing data on two-sided marketplace dynamics, including balancing supply and demand and understanding the relationship between different sides of the marketplace. - 2 years of experience designing and evaluating A/B tests, including hypothesis forming, metric selection, and statistical analysis of results of A/B tests. - 1 year of experience using CI/CD tools to schedule and monitor the creation and refresh of data tables. - 1 year of experience using version control tools, including Git/GitHub to store, share and collaborate on code. Requirements - Experience using cloud-based data storage and data pipelines (e.g AWS S3) to support analytics and reporting. - Experience with pricing and retention analytics, including building pricing models and simulations in spreadsheet tools (e.g Excel, Google Sheets) to evaluate business impact of pricing changes. - Experience defining event parameters and aggregating and interpreting event-level data to measure feature performance, customer behavior and engagement. Benefits - Competitive salary, equity, benefits, and perks for all full-time employees. - Employer-paid medical, dental, and vision insurance (Country specific). - Retirement employer match. - Learning & Development stipend to invest in your professional development. - Turo host matching program. - Turo travel credit. - Cell phone and internet stipend. - Paid time off to relax and recharge. - Paid holidays, volunteer time off, and parental leave. - For those who are in the office full-time or hybrid we have in-office lunch, office snacks, and fun activities.

Role Description We are hiring a CRO & Data-Rails Lead to own the conversion system between paid acquisition and revenue. This person will improve the intake and landing-page experience while also building the measurement rails that let Eden know what is working, what is broken, and what should change next. This is not a pure designer role, a pure analyst role, or a generic experimentation role. It sits at the intersection of funnel architecture, intake design, event taxonomy, tracking validation, experimentation, and business readouts. The job is to create trusted funnel truth: clean enough signal to make spend decisions, clear enough UX to improve conversion, and strong enough instrumentation to support profitable acquisition. What You'll Own - Own the intake and funnel conversion system across landing pages, eligibility flows, checkout paths, and the event data that connects those surfaces to channel performance. - Your responsibility is to make the growth team smarter and faster by answering the questions that sit between channel spend and booked revenue: - Where is the funnel actually converting, leaking, or misreporting? - Which events are trusted enough to support a spend decision? - Is performance constrained by traffic quality, intake design, offer clarity, eligibility logic, or broken tracking? - What should product, engineering, CRO, Google, agencies, and leadership do next? Key Responsibilities - Own intake and landing-page conversion architecture in partnership with product, design, engineering, clinical, legal, and growth. - Define and maintain the event taxonomy for acquisition, landing-page behavior, intake start, intake steps, eligibility, checkout, purchase, and post-submit states. - Partner with engineering/product to make sure events are implemented correctly, persist through the funnel, and reconcile across Mixpanel, GA4, Segment, BigQuery, Northbeam, platform data, and finance views where applicable. - Own the weekly funnel truth readout: CVR, drop-off, source/channel differences, test outcomes, broken signal, and recommended next action. - Partner with the Google Channel Manager and Growth Lead to determine whether campaign signal is trustworthy enough to scale. - Translate business questions into CRO hypotheses, test plans, requirements, and decision rules. - Design, direct, or specify intake improvements that reduce friction without weakening clinical, legal, eligibility, or operational requirements. - Build and manage the intake/CRO roadmap across quick wins, structural fixes, instrumentation gaps, and larger product changes. - Create clear handoffs into product and engineering so growth needs become buildable requirements, not scattered requests. - Surface risks early when conversion performance is distorted by measurement gaps, broken routing, weak offer clarity, clinical friction, or implementation drift. What Success Looks Like - First 30 days: - Map the current landing-page, intake, eligibility, checkout, and purchase flow. - Identify the highest-risk measurement gaps and confirm which funnel events can and cannot be trusted today. - Define the first intake/CRO priority list: fix signal, remove obvious friction, and clarify the next test queue. - First 60 days: - Establish a weekly funnel truth readout that growth, product, engineering, and leadership can use. - Ship or coordinate the first meaningful conversion improvements. - Make campaign signal and funnel conversion easier to reconcile so spend decisions are less dependent on platform confidence alone. - First 90 days: - Build a durable CRO operating system: event quality, funnel reporting, test roadmap, decision rules, implementation cadence, and escalation path. - Move intake ownership out of temporary coverage and into a dedicated, scalable function. - Improve the quality of acquisition decisions by making funnel signal more trustworthy and conversion. Qualifications - Experience in CRO, growth product, funnel analytics, experimentation, or conversion optimization in ecommerce, telehealth, healthcare, fintech, subscription, or another regulated/high-consideration category. - Strong understanding of event taxonomy, funnel analytics, tracking validation, experiment design, conversion readouts, and source-of-truth reporting. - Ability to work with designers, engineers, data owners, marketers, clinical/legal stakeholders, agencies, and executives. - Comfort diagnosing messy funnels where tracking, UX, eligibility, offer, channel quality, and operational reality all interact. - Ability to write clear requirements for product and engineering while also understanding why those requirements matter commercially. - Familiarity with tools such as Mixpanel, GA4, Segment, BigQuery, Northbeam, Google Tag Manager, or similar systems. - Strong business judgment: you can recommend what to change this week without pretending the data is cleaner than it is. Strong Fit Signals - You can turn a vague funnel problem into a specific event, test, requirement, or design decision. - You understand that CRO is not just landing-page polish; it is the operating bridge between spend, customer intent, product flow, and booked revenue. - You care about signal integrity as much as conversion lift. - You can distinguish real conversion improvement from measurement noise. - You can help the growth team decide whether to scale, hold, fix tracking, or fix the funnel first. This Role Is Not For Someone Who - Is only a visual designer with no measurement depth. - Is only an analyst with no product, UX, or funnel judgment. - Runs tests without defining the decision the test is meant to inform. - Cannot collaborate directly with product and engineering. - Does not understand how funnel signal affects paid acquisition, CAC, and budget confidence. Why This Role Matters Eden cannot scale profitable acquisition if the company cannot trust what happens after a click. Google, Meta, TikTok, lifecycle, and agency decisions all depend on whether the funnel is measurable, understandable, and improvable. This person will help Eden turn intake and measurement from a temporary coverage problem into a growth capability: a system that shows where customers are dropping, which signals are trusted, what needs to be built, and when the business can confidently scale spend. Housekeeping Eden is proud to be an equal-opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Eden brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn. Compensation at Eden will be determined by skills, experience, and geographic location. Eden has identified the expected annual base salary range for this role.