Role Description Join our growing analytics function and help build the data infrastructure our business needs. Full autonomy, wide exposure. - Pull, clean, and analyse data from multiple sources - Build scalable reporting solutions - Work with ops and finance to track business performance - Develop cohort analyses, funnels, and retention reports - Document data processes and support team training Qualifications - Solid SQL and spreadsheet skills - Data visualisation experience - Ability to manage multiple projects simultaneously - Strong English communication skills - Reliable internet and professional home setup

Role Description We are looking for native or fluent language speakers to help train AI systems by reviewing and annotating content in their language (Chinese). This is a long-term, remote gig. No prior experience is required. On the job training will be provided. What You Will Do - Review content in your native language (e.g., newspaper articles, website screenshots, advertisements) - Draw bounding boxes around specific elements as instructed (e.g., highlight the commercial aspect of an article) - Answer structured questions about the content - Write short summaries when required - Follow clear annotation guidelines to ensure quality and consistency Qualifications - Native or highly fluent speakers of the target language - Students, freelancers, part-time workers, or anyone seeking flexible short-term work - People comfortable following written instructions on a computer Requirements - Strong reading comprehension in your language - Basic computer skills (no technical background needed) - Attention to detail - Ability to follow structured instructions Role Details - Duration: Minimum 6 months (Long-term Project) - Pay Rate: $2.75 USD / hour - Hours: 30–40 hours/week - Location: Fully remote - Work: Not voice-based — text and image annotation only - No Interview, only assessment: 15–20 minute language skills assessment

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description U.S. Bank is seeking the position of Data Analytics – A/B Testing in Minneapolis, MN. Essential Responsibilities: The Data Analytics – A/B Testing will be responsible for developing datasets that uncover customer trends and improve marketing campaigns. This role uses internal and external data to understand customer needs, providing programming support for reports and analyses, and creating complex analytical datasets for visualization tools such as Tableau, Excel, Power BI, or SAS Visual Analytics. Essential responsibilities include: designing A/B tests with the Behavioral Science team to optimize communication; developing SAS reports and dashboards by integrating data from sources such as ELZ and Cassandra to support data-driven leadership decisions; creating Tableau and Power BI dashboards for daily, weekly, and fraud-impact performance tracking; using analytics tools like Alteryx to build data pipelines for consumer analysis; leveraging Azure to access deposit data and collaborating with business line to develop models that predict and reduce consumer attrition while enhancing the customer experience; analyzing revenue loss from inactive or closed accounts and building Power BI dashboards to track consumer status changes; applying machine learning to generate attrition scores for deposit accounts to improve retention; creating complex analytical datasets for visualization in Tableau, Excel, Power BI, and SAS Visual Analytics; providing programming support for studio reports, campaign analyses, and exploratory data projects; and performing data-quality analyses to identify outliers and errors. Position may allow working from home within commuting distance of the worksite location. Multiple Positions. Basic Qualifications: Requires a Bachelor’s degree in Statistics or Business Analytics plus 5 years of progressive post-baccalaureate experience developing and executing data-driven strategies through A/B testing. Required Skills/Experience: Must possess 5 years of experience with all of the following: collecting, analyzing, and interpreting data to inform decisions; using data to optimize business strategies; applying predictive models to drive revenue and customer engagement; performing statistical and exploratory analysis; translating analytics insights into actionable strategies; building dashboards with Tableau for data visualization; leveraging SQL to collect and process data; utilizing SQL for querying and managing datasets; optimizing business processes for improved performance and growth; driving ROI with predictive modeling and optimization; and developing scalable analytics solutions using Python, R, AWS, Snowflake, and ETL pipelines. Position may allow working from home within commuting distance of the worksite location. U.S. Bank is subject to and conducts background checks consistent with the regulatory requirements applicable to our industry and operations. Base pay range may vary if an offer is made for work in a different location. Pay Range: $142,230 - $155,000. (#LI-NDI #LI-DNI #LI-DNP #DE-DNP #IND-DNP) - The examination for this position may include additional supplemental questionnaires. Improper or missing responses could affect your application. - This position is not eligible for visa sponsorship. If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following: - Healthcare (medical, dental, vision) - Basic term and optional term life insurance - Short-term and long-term disability - Pregnancy disability and parental leave - 401(k) and employer-funded retirement plan - Paid vacation (from two to five weeks depending on salary grade and tenure) - Up to 11 paid holiday opportunities - Adoption assistance - Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law Review our full benefits available by employment status here. U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

Data Analyst Location: Frisco, Texas, United States time type Full time job requisition id JR0032455 Job Description: Role Overview: We are seeking a Data Analyst to join the Analytics Architecture team within McAfee's Analytics Platform & Enablement organization. In this role you will build, validate, and maintain the analytical logic behind McAfee's most critical consumer business metrics - retention rate, trial conversion, bookings, subscriber counts, and marketing effectiveness. You will work directly in Databricks writing SQL and Python to transform raw data into certified KPIs that drive decisions at the VP and C-level. This is a hands-on, high-output role. You will own end-to-end analysis cycles: receiving business questions from leadership, translating them into data logic, validating results against source-of-truth systems, and delivering findings that directly influence how McAfee measures and optimizes its subscription business. You will partner closely with Data Engineering, Finance, Marketing, and Product teams on a daily basis. This position reports to the Senior Manager of Analytics Architecture and works alongside 2-3 peer analysts who collectively own the analytical foundations for McAfee's consumer business. This is a Hybrid position located in Frisco, TX. You will be required to be on-site on an as-needed basis; when you are not working on-site, you will work from your home office. You must be within commutable distance to Frisco, TX. We are not offering relocation assistance. About the Role - Build and validate the data logic behind core business KPIs - translating business definitions into certified analytical models across multiple dimensions. - Perform end-to-end data reconciliation - validating analytical datasets against finance and operational source-of-truth systems, investigating discrepancies, and ensuring accuracy of reported metrics. - Conduct customer lifecycle analysis - defining and measuring customer populations, segmenting behavior across acquisition, engagement, and renewal stages, and identifying drivers of key business outcomes. - Build waterfall and funnel analyses - decomposing aggregate metric movements into contributing factors, quantifying the impact of each, and presenting findings to leadership in a clear and actionable format. - Build and maintain data models and transformation logic - working in Databricks to create, migrate, and backfill analytical tables, validate data transformations, and ensure consistency between raw and curated data layers. - Produce and maintain automated dashboards and reports - building executive-facing visualizations that track business performance across multiple data sources with automated refresh pipelines. - Conduct root cause analysis on metric anomalies - investigating unexpected movements in KPIs, tracing issues through multiple data layers, and producing actionable findings for business stakeholders. - Deliver ad-hoc analysis for senior leadership - responding to executive requests with data-driven insights on topics such as customer sizing, audience segmentation, and business performance deep dives. - Document data lineage and business logic - mapping how metrics flow from source systems through transformation layers to final reporting, ensuring traceability and auditability of all certified KPIs. - Collaborate cross-functionally with Data Engineering, Finance, and Data Stewards to certify data logic before it enters production reporting, and flag data quality issues proactively. About You - You have 5+ years of experience in data analytics, business intelligence, or a related quantitative field. - You have deep expertise in subscription or SaaS business metrics - including retention rate, churn, auto-renewal, trial conversion, LTV, and bookings - ideally in a consumer technology or eCommerce context. - Data and coding fluency - you are a self-starter comfortable using SQL, Python, and generative AI tools to access data and deliver analysis independently. - You have hands-on experience with Databricks (SQL,Python, PySpark, Delta Lake) and can write, review, and troubleshoot complex analytical queries and data pipelines. - You have experience with BI and reporting platforms - particularly Power BI. - You have experience with data validation and reconciliation - comparing data across source systems, identifying discrepancies, and documenting business rules that govern metric calculations. - You are comfortable performing root cause analysis - diagnosing why a metric moved, tracing issues through multiple data layers, and presenting findings clearly to both technical and non-technical stakeholders. - You can translate ambiguous business questions into structured analytical approaches - scoping the data needed, defining assumptions, and delivering concise answers under time pressure. - You have experience working in agile environments - managing your own backlog across 2-week sprints, balancing recurring reporting with project work, and communicating progress and blockers proactively. #LI-Hybrid Company Overview McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users' needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We're proud to be Great Place to Work Certified in 10 countries, a reflection of the supportive, empowering environment we've built where people feel seen, valued, and energized to reach their full potential and thrive. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. - Bonus Program - Pension and Retirement Plans - Medical, Dental and Vision Coverage - Paid Time Off - Paid Parental Leave - Support for Community Involvement We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.