Title: Data Graphics - Multimedia Editor, The Upshot Location: New York, NY Job Description: The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role The Upshot is a versatile, multidisciplinary team in the New York Times newsroom whose mission is to help our readers understand the news — and to find new ways to explain the world we're living in. We're looking for a visual journalist and graphics developer to report, write, design and code data-driven stories and visualizations. We're looking for someone who can produce inventive explanatory, analytical and interactive journalism in a variety of forms, from conception through publication; and who is also enthusiastic about contributing your skills to colleagues' projects. The Upshot covers a wide range of topics, including politics, policy, health care, cities, culture, education, gender, climate and more. You should be interested in covering a wide range of topics yourself. Deeper experience in a particular subject is also welcome, including in areas that are listed here or in ones that aren't, such as economics, immigration or artificial intelligence. You may be a veteran journalist, or you may be someone with less conventional experience who has been publishing unique explanatory work. This is an in-office position based in New York and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. Responsibilities: - Conceive, report and develop creative and distinct stories - Produce work in a range of forms, including written stories, charts, videos, reader interactivity, and innovative formats that combine these - Analyze the data that undergirds these stories - Develop stories that include a wide range of voices and perspectives - Collaborate with other members of the Upshot desk and other parts of the newsroom - Ensure the accuracy and clarity of the material you publish - Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. - You will report to the Editor, The Upshot Basic Qualifications: - 2+ years of experience publishing explanatory journalism across a range of subjects and/or on a specific beat, either as “traditional” journalism or in other forms (Substack, YouTube, etc.) - Demonstrated experience using data, technology and visuals for clear, effective explanation - Experience working with and analyzing data, in R, Python or other tools - Experience approaching the news or other subjects creatively - An interest in learning technical skills Preferred Qualifications: - Experience producing publication-grade charts and visuals, interactive journalism, and/or websites using modern programming frameworks (including a demonstrated ability to produce work through code that goes beyond the constraints of Datawrapper/Flourish/Tableau) - Skill in interface design and/or information graphic design - Experience with Adobe Illustrator and/or Figma - Experience with video — whether that's appearing on camera, creating motion graphics or other skills - Traditional reporting skills experience writing quickly and cleanly - Experience working in a news organization - Proven track record of collaboration — someone excited about working with other people - Experience producing coverage on both breaking news and enterprise timelines - Grounding in statistics, economics and/or political science - A neverending ideas list This position is represented by the NewsGuild of NY. REQ-019775 The annual base pay range for this role is between: $113,945.85—$155,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.

Role Description Drive data delivery and collaborate closely with B2C stakeholders (Marketing, Sales, Customer Service, CX, Digital) as well as Data Teams. - Support and actively contribute to the organization’s data transformation journey toward a fully data-driven culture. - Enable B2C departments to leverage data effectively by guiding data-driven decision-making and supporting employees in the use of reports and analytics tools. - Define and refine analytics and reporting requirements, analyze data trends and patterns, and develop clear dashboards and visualizations to generate actionable insights. - Support and coordinate data projects from a B2C perspective, ensuring all delivered insights and solutions align with departmental needs and business objectives. Qualifications - You hold a degree in a data science–related field and have several years of relevant professional experience. - You have advanced skills in SQL, Python, Tableau as well as in data analysis and data visualization. - You demonstrate strong analytical thinking, a solution-oriented mindset and thrive in collaborative environments. - Your English skills are excellent and you have at least basic knowledge of German. Benefits - According to the collective agreement for the telecommunications industry, this position carries a minimum gross monthly salary of €3.107,21 based on full-time employment (38.5 hours per week). - We will discuss your actual salary with you in person, taking into account your individual qualifications and professional experience. - You can expect an attractive offer that exceeds the minimum stipulated by the agreement. Company Description At Magenta, we believe in diverse employees and live equal opportunities. We welcome all applications regardless of cultural and social background, age, gender, nationality, religion, disability or sexual orientation. Magenta connects all people. - We want to win together. - T- you can count on me. - We challenge the status quo. - We are optimistic about our digital future. - No bullshit bingo - we are honest, authentic & humorous. - We connect more with each other and with our customers.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology. Dynamics of the Role TransUnion APAC is seeking a Regional Chief Data & Analytics Officer—an accomplished, forward‑thinking, and collaborative leader who will oversee and represent all facets of data science, analytics, data acquisition, and data management across the Asia‑Pacific region within our Global Data & Analytics (GD&A) organization. In this role, you will steward the full data and analytics value chain in APAC, including credit and non‑credit solution development, custom analytics, data strategy, data acquisition, onboarding, and quality governance. You will champion emerging platform capabilities and guide regional adoption by shaping use cases aligned with commercial priorities. As a senior member of the GD&A International Markets leadership team, reporting to the Senior Vice President – International Markets, GD&A, you will also serve on the APAC regional leadership team, supporting Regional Presidents across multiple markets. You will lead a combination of solid and matrixed teams spanning data science, analytics, and data operations, and may additionally oversee global Center of Excellence (CoE) analytics resources located within the region. What You'll Bring: - Partner with APAC regional presidents and regional sales & solutions leaders to ensure D&A capabilities align with and deliver against 3YP strategic priorities. - Build strong relationships across APAC functions and markets to identify collaboration opportunities and ensure effective communication and transparency. - Maintain a comprehensive and prioritized regional analytics book of work, including pipeline initiatives and emerging opportunities. - Partner with Global Technology to optimize the Data & Analytics platform landscape and accelerate regional innovation. - Clearly articulate D&A’s impact on regional business goals and define a roadmap to continuously enhance value creation across APAC markets. - Serve as the APAC thought leader for TransUnion D&A, representing the region internally and externally. - Build networks with regional CDAOs and industry leaders to anticipate emerging needs and shape future solutions. - Publish white papers and thought‑leadership insights to highlight TransUnion innovation within APAC and globally. - Expand awareness and adoption of the full D&A value chain across regional teams to improve solution design and execution. - Lead delivery of complex, high‑impact projects and drive stakeholder alignment across diverse markets. - Maintain a healthy pipeline of reactive and proactive priorities to foster innovation and responsiveness. - Build and sustain a high‑performing Data & Analytics culture—attract, retain, and develop top regional talent. - Follow organizational talent practices, ensuring development pathways for top performers. - Strengthen regional risk posture by advancing initiatives in Data Security, Data Privacy, Data Quality, Model Risk Management, and compliance. - Identify opportunities to improve cost efficiency through streamlined processes and workflows. - Champion global D&A and GT transformation agendas within the region. - Align APAC initiatives with Global Credit, Fraud, and Marketing Solutions roadmaps and drive cross‑regional learnings. - Leverage global resources, GCCs, and Centers of Excellence to accelerate time‑to‑value. - Share best practices and standout projects from APAC with global teams. - Monitor emerging business and technology trends across APAC to identify synergies and opportunities Impact You'll Make: - Bachelor’s or Master’s degree in a quantitative field such as statistics, mathematics, engineering, or data science (preferred), with a track record of academic excellence. - 15+ years of professional experience in analytic development within financial services, consumer credit, or a related regulated industry, including 8+ years in a successful leadership role. - Strong understanding of data acquisition practices from furnishers and third‑party providers, including the ability to monitor data performance and address quality issues. - Deep knowledge of credit, marketing, fraud, and related data assets and business practices specific to regulated industries across APAC markets. - Demonstrated analytical rigor, critical thinking, creativity, and a strong sense of initiative in resolving complex problems. - Proven career path and interest in industries served by TransUnion, including financial services, insurance, fraud, telco, e‑commerce, and digital marketing across the APAC region. - Solid programming skills; mastery of analytical tools such as R or Python and data manipulation languages/platforms including SQL, Hive, Spark, C/C++, and Java; high proficiency with Microsoft Office tools. - Ability to lead complex, multi‑market data and analytics projects under limited supervision, collaborating with Sales, Solutions, and vertical support teams, and engaging directly with customers. - Experience delivering advanced data solutions in partnership with Global Capabilities Centers (GCCs) and global analytics teams. - Proven success operating within matrixed organizations and collaborating effectively with global and regional stakeholders. - Strong project, change, and time‑management skills with the ability to lead multiple workstreams in a fast‑paced environment and make impactful decisions. - Strong business acumen and interpersonal skills; able to communicate effectively at senior leadership levels across diverse APAC markets. - Regional commercial acumen and strategic planning experience within multinational organizations. - Excellent verbal and written communication skills; ability to translate complex analytical concepts into clear, actionable insights for internal and external partners. - Ability to present and champion a compelling strategic vision that accelerates adoption of advanced analytics and emerging technologies. - Willingness to travel across APAC and internationally. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion's Internal Job Title: Market VP, Data Science and Analytics

• Scrape, collect, and preprocess images and videos from multiple sources • Label and annotate images, videos, and metadata according to defined ML annotation guidelines • Ensure high accuracy, consistency, and quality of annotated datasets • Assist in validating and auditing datasets used for training ML models • Work with Python scripts or tools to support annotation workflows and basic data processing • Collaborate with the Data Science and ML teams to understand model requirements and improve data quality • Meet deadlines and maintain proper documentation of annotation tasks • Communicate issues, edge cases, and anomalies found in datasets