Requisition Number: 2375759 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Serve as a senior analytics partner to the Credit team, providing data-driven insights across credit risk, portfolio performance, underwriting, and loss mitigation - Develop, optimize, and maintain complex SQL queries to extract, transform, and analyze large volumes of financial and credit data from enterprise data warehouses - Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering, complementing SQL-based workflows and improving analytical efficiency - Design, build, and support interactive dashboards and reports in Power BI to deliver clear, actionable insights to Credit leadership and business stakeholders - Create and maintain SSRS reports to support operational, regulatory, and management reporting needs, ensuring accuracy, consistency, and timeliness - Perform advanced analysis using Excel, including pivot tables, Power Query, Power Pivot, and complex formulas, to support ad hoc requests and deep-dive investigations - Analyze credit metrics such as delinquency, roll rates, charge-offs, recoveries, exposure, and vintage performance to identify trends, risks, and opportunities - Partner closely with Credit Risk, Underwriting, Finance, and Compliance teams to ensure reporting aligns with business rules, policies, and regulatory expectations - Validate data integrity and reconcile results across multiple systems to ensure reporting accuracy and reliability - Translate complex analytical findings into clear, concise insights and recommendations tailored to both technical and non-technical audiences - Support automation and process improvements to increase efficiency, scalability, and self-service analytics within the Credit organization - Mentor junior analysts and contribute to the development of best practices for SQL, reporting standards, and analytical methodologies - Ensure adherence to data governance, security, and regulatory requirements specific to banking and credit data You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 5+ years of experience in data analytics, with direct experience supporting Credit, Credit Risk, or Lending teams within a bank or financial services organization - Solid working knowledge of credit concepts, including delinquency, charge-offs, recoveries, exposure, vintages, utilization, and portfolio performance - Advanced Python proficiency, with hands-on experience using libraries such as pandas, NumPy, and related analytical packages for data manipulation, validation, automation, and large-scale analysis; experience building reusable scripts, analytical frameworks, or pipelines is highly valued - Expert-level proficiency in SQL, with experience writing complex joins, CTEs, subqueries, window functions, and performance-optimized queries against large datasets - Advanced experience with Power BI, including data modeling, DAX, custom measures, and designing executive-ready dashboards - Advanced Excel skills, including pivot tables, Power Query, Power Pivot, complex formulas, and statistical or financial analysis - Hands-on experience developing, maintaining, and supporting SSRS reports in a production environment - Proven ability to validate data, reconcile across multiple source systems, and ensure high data quality and reporting accuracy - Solid analytical and problem-solving skills, with the ability to independently investigate issues and deliver insights - Excellent communication skills with the ability to explain complex data findings to both technical and non-technical stakeholders Preferred Qualifications: - Experience working with consumer or commercial lending products (e.g., credit cards, auto loans, personal loans, mortgages, or commercial loans) - Experience working with large enterprise data warehouses and financial systems - Experience building automated or self-service reporting solutions for business users - Experience leveraging Python for automation, process optimization, or advanced analytics (e.g., trend analysis, scenario analysis, or custom performance monitoring). - Experience developing, validating, or deploying analytical or statistical models using Python, including feature engineering, model evaluation, and performance monitoring in a financial or risk analytics context - Experience supporting senior leadership with executive-level reporting and insights - Familiarity with banking regulatory and risk frameworks (e.g., CECL, stress testing, portfolio monitoring, audit support) - Demonstrated ability to mentor junior analysts and establish analytics best practices *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $$91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Title: Senior Data Analyst Location: Chicago, Illinois / San Francisco, California / New York City, New York Job Description: About the Role We are seeking a motivated and skilled Sr Data Analyst with a focus on data & automation for Ubers Ads team. This role is pivotal in optimizing the strategic insights analytics and streamlining the reporting processes through advanced technical expertise in SQL, Python, and APIs. The successful candidate will be instrumental in improving the efficiency and effectiveness of data-driven decision-making within Ubers Ads operations. What Youll Do - Develop and maintain SQL queries and scripts to extract, manipulate, and analyze large datasets - Utilize Python to automate data workflows and perform data analysis and extrapolation - Integrate various data sources and APIs to contribute to real-time data monitoring and automation solutions - Collaborate with cross-functional teams to support data-driven strategies and business decisions - Aid in the preparation and maintenance of detailed reporting models and dashboards - Conduct exploratory data analysis to identify trends and opportunities for growth within Uber Ads - Assist in designing and implementing data automation frameworks to enhance operational processes Basic Qualifications - 4 years experience in Analytics, Business Intelligence, Automation, Data Science, or similar - Previous experience in Data Automation - Experience within data visualization platform such as Tableau, PowerBI, or similar - Advanced proficiency in SQL for complex data querying and manipulation (live assessment required for interview process) - Advanced proficiency in Python with a focus on data extraction, transformation, and automation (live assessment required for interview process) - Bachelors degree preferably within Computer Science, Statistics, Data Analytics, Data Science, Engineering, or a related field Preferred Qualifications • Understanding of digital advertising or media analytics • Experience with Python web development framework such as Flask or Django • Experience with leveraging GenAI to automate workflow and/or data analysis • Ability to work in a fast-paced, dynamic environment and manage multiple priorities For Chicago, IL-based roles, the base salary range for this role is USD 122,000 per year - USD 135,500 per year. For New York, NY-based roles, the base salary range for this role is USD 135,000 per year - USD 150,000 per year. For San Francisco, CA-based roles, the base salary range for this role is USD 135,000 per year - USD 150,000 per year. For all US locations, you will be eligible to participate in Ubers bonus program and may be offered an equity award & other types of compensation. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link: https://jobs.uber.com/en/benefitshttps://jobs.uber.com/en/benefits. Ubers mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us moves the world - lets move it forward together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form: https://forms.gle/aDWTk9k6xtMU25Y5A. Offices continue to be central to collaboration and Ubers cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customersto provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #Li-Hybrid Job Description About the role: The Product Intelligence team serves a critical role by providing business intelligence to the organization: we synthesize data sources across the company, delivering product usage and business insights that directly shape product strategy and decision-making. We are looking for a Principal Data Architect to lead our Product Intelligence data function and to bring your experience and vision in enterprise data architecture, data modeling, and team leadership. You will own the strategy for bringing together disparate, company-wide data sources into a single, unified data lake, and will lead, develop, and mentor a team of data engineers to deliver on that vision. This is a highly strategic role: you will translate telemetry and usage data into product-led insights that identify upsell opportunities, predict churn, and help the business meet its revenue targets, and you will regularly manage senior stakeholders and present your data strategy directly to C-level management. We're looking for someone with a strong data background who also understands the strategic importance of building an AI-ready data foundation. What you'll do - Own the enterprise data strategy and architecture, unifying disparate company-wide data sources into a single, unified data lake. - Lead, develop, and mentor a team of data engineers, providing technical direction, coaching, and supporting their career growth. - Partner with Product Management and business stakeholders to translate product usage and telemetry data into product-led insights - identifying upsell opportunities, predicting churn, and supporting revenue targets. - Manage senior stakeholders across the business and regularly present data strategy, insights, and recommendations to C-level management. - Own the technical architecture for data warehousing, data lake design, data modeling, and data access patterns. - Drive the design and evolution of the analytics layer, including semantic modeling and dashboarding within BI tools. - Champion an AI-ready data strategy, ensuring our data foundations, models, and governance are structured to support future AI and advanced analytics use cases. - Establish data engineering standards, best practices, and measurable quality indicators to ensure high-quality, maintainable code. - Ensure scalability, reliability, and performance of data platforms, pipelines, and analytics workloads. - Promote an agile, iterative engineering culture and actively contribute to team ceremonies. Qualifications Data Engineering Experience - Master's degree (or equivalent) in Computer Science, Engineering, or a related field. - 8+ years of experience as a Data Engineer or Data Architect, including 3+ years leading, developing, and mentoring a team of data engineers. - Proven track record designing and delivering unified data warehouse/data lake architectures that bring together disparate, company-wide data sources. - Experience partnering with Product and business teams to deliver product-led insights, such as identifying upsell opportunities, predicting churn, or supporting revenue growth. - Demonstrated experience managing senior stakeholders and presenting data strategy and insights to executive/C-level audiences. - Strong expertise in database design, data modeling, and handling both structured and unstructured data. - Strong system design and architectural skills, with the ability to design scalable data platforms. - Proficiency in SQL and Python, with solid experience building and maintaining ETL/ELT pipelines. - Familiarity with modern data stack tools such as dbt, AWS Lambda, Step Functions, Glue, Athena, Redshift, or similar. - Experience with data visualization tools such as Power BI, QuickSight, Tableau, or similar. - Practical knowledge of DevOps practices, CI/CD pipelines, and tools such as Git. - Experience with containerization and infrastructure tools (e.g., Docker, Terraform, Jenkins). - Hands-on experience with the AWS cloud platform. - Proven ability to own projects end-to-end and operate with a high level of autonomy. - Excellent communication and collaboration skills, with fluency in English. AI Awareness & Strategic Understanding - Solid understanding of AI/ML and LLM concepts and their strategic implications for data architecture - hands-on experience building AI agents or RAG systems is a strong plus. - Ability to identify where and how AI can create value across the data platform, and to architect data foundations (e.g., semantic layers, data quality, governance) that make the data lake AI-ready. - Comfortable partnering with AI/ML practitioners or vendors to enable future AI-powered use cases, such as natural-language data exploration. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees 'Nexthinkers' and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. IIf you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: - Permanent Contract and a competitive compensation package. - Amazing centrally located offices near the Bernabeu Stadium. - Private Health Insurance (Sanitas) and daily meal vouchers of 11 EUR will be entirely covered by us. - Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. - Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 23 days of holidays we offer) plus 3 company-paid volunteer days. - Up to 25 EUR per month for a gym subscription. - Flexible compensation plan for childcare & public transportation. - ‍ Reimbursement of up to 50% of the cost of English & Spanish classes. - Fresh fruit, cookies, soft drinks and protein shakes at the offie. - Regular company and team events like Pizza talks, Team Building activities, Christmas parties, hosting Meetups at the office and more! - Bonuses for referring successful hires after three months of continuous employment. - We offer a relocation package to people who are coming from another country. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner. The base salary for this role is €60,000 - €90,000 gross per year, with a total on-target earnings (OTE) range of €69,000- €103,500 including an annual performance bonus. You'll also be part of our broader total rewards package - including benefits tailored to where you live and how you work best. We set our pay ranges using objective criteria: the scope and level of the role, the skills it takes to do it well, and the relevant market data. Ranges are reviewed every year to remain competitive and fair. We're transparent about this because we think you deserve to know what you're working towards from day one. In accordance with the EU Pay Transparency Directive (2023/970), we publish salary ranges on every Nexthink role. We won't ask what you currently earn or your previous salary. What matters to us is what this role is worth and whether it works for you. Nexthinkers come from all kinds of backgrounds, and that's what makes us stronger. We welcome applications from everyone.

• Perform database updates for client data per company procedures • Properly and timely complete all documentation • Create, edit and complete call summaries according to written procedure • Attend and participate in training sessions as scheduled • Provide timely responses to team members • Perform data entry • Maintain client files and appropriate electronic documentation • Be available for meetings as requested • Other duties may be assigned, added and/or removed with the ever-changing technology of A.I.