Senior Data Analyst, Connected Car Services

Detalles de la oferta

About the Role:Grade Level (for internal use): 09
The Team You will be working in the Automotive Supply Chain, Technology, and Aftermarket organization, a global team of over 100 analysts. You will interact daily with a global team dedicated to researching Connected Car and Vehicle Experience related topics.
Responsibilities and Impact Are you passionate about cars, technology, and the future of mobility? Do you enjoy leveraging data to produce powerful insights that support key business decisions?
The Automotive Supply Chain and Technology team at S&P Global Mobility is in search of a Senior Data Analyst in Connected Car with a strong analytical background to:
Maintain databases which track automotive technologies and supplier information while providing analysis and rationale to support the data.Drive quality projects aimed at enhancing, building, or better maintaining research accuracy around the connected vehicle space.Develop new data quality processes to support global alignment and prioritization of research enhancements.Perform data cleansing tasks, including populating vehicle technology data for regions beyond your own.Support the global team in managing nuanced requests coming from clients to help them understand methodology and topics related to our direct coverage.What We're Looking For: Basic Required Qualifications: Working experience related to automotive technology at an automaker, supplier, or relevant research firm.3+ years experienced in managing and manipulating large datasets.Experienced and passionate about enabling tools which support data cleansing and quality.Proficient in Microsoft Office applications with an understanding of database mechanics (e.g., Access, SQL).Demonstrable communication skills with both technical and non-technical stakeholders.Strong motivation and ability to self-organize to achieve difficult targets under tight time constraints.Fluent in English.Additional Preferred Qualifications: Strong analytical and data interpretation skills, working experience in KNIME/Python a plus.Experience working closely with colleagues in other regions and time zones.About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility.
What's In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
Our Values: Integrity, Discovery, Partnership
Benefits: We take care of you, so you can take care of business. Our benefits include:
Health & Wellness: Health care coverage designed for the mind and body.Flexible Downtime: Generous time off helps keep you energized for your time on.Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in-class benefits for families.Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.Diversity, Equity, and Inclusion at S&P Global: At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation.
Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.

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Fuente: Jobleads

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