{"id":4160760,"url":"https://alion.io/job/blackrock-analytics-associate-digital-product-data-ai-fixed-term","title":"Analytics Associate – Digital Product, Data & AI (Fixed Term)","company":{"id":5262,"name":"BlackRock","domain":"blackrock.com","url":"https://alion.io/company/blackrock","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":178,"ghost_share":0.006,"stale_share":0.051,"repost_share":0.107,"time_to_fill_p50_days":30,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":13400000,"max":20100000,"currency":"HUF","period":"year","gross":null,"usd_annual":60903},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Git","optional":true},{"name":"NumPy","optional":true},{"name":"Power BI","optional":true},{"name":"SciPy","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-12T12:24:31Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T12:24:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About this role\nThe Team\nThe Global Marketing & Digital Wealth organization at BlackRock is a forward-looking, globally connected team at the center of the firm’s most high-impact priorities. We are architects of growth, working across functions and markets to unlock opportunities and accelerate outcomes for the business. In collaboration with both internal and external partners, we design the conditions for success-delivering next-generation campaigns, brand platforms, communications, training, and client experiences. Our work is powered by world-class centers of excellence spanning content strategy, research & analytics, and digital platforms & experiences.\nWithin Global Marketing & Digital Wealth, the Global Digital team owns and transforms BlackRock’s client-facing digital properties-including BlackRock.com, iShares.com, and Advisor Center-as well as our email marketing channels. The team brings together product, design, engineering, analytics, and digital expertise to create connected, personalized experiences that help clients discover, understand, and engage with BlackRock.\nThe Digital Analytics team within Global Digital provides the measurement, insights, and analytical rigor that help us understand how clients engage with our digital properties-and continuously improve those experiences to drive business outcomes.\nRole and Impact\nWe are seeking a technically proficient, forward-thinking Analytics Associate (1 year fixed term) to help shape the next generation of digital experience measurement and analytics. This role combines digital product analytics, advanced data analysis, statistical methods, and emerging AI capabilities to understand customer behavior, evaluate digital experiences, and drive measurable business outcomes.\nThe ideal candidate is equally comfortable analyzing user behavior in Adobe Analytics or Contentsquare, working directly with data using SQL or Python, and exploring how AI can make analytics more intelligent, automated, and scalable. Beyond reporting, this individual will help evolve our analytics practice toward proactive insights, scalable data analysis, and AI-enabled decision support.\nThis role is based in Budapest, Hungary.\nResponsibilities\nAnalyze digital journeys, engagement, conversion funnels, and product performance; translate findings into actionable recommendations for Product, UX, and business partners. \nDefine KPIs and measurement plans for product launches, redesigns, and enhancements; evaluate outcomes through pre/post analysis and statistical methods. \nIndependently query, transform, validate, and analyze complex datasets using SQL and/or Python; combine behavioral and business data to uncover deeper insights. \nApply AI-assisted tools to accelerate exploratory analysis, coding, anomaly investigation, documentation, and insight generation while independently validating results. \nDevelop reusable analytical queries, scripts, dashboards, and automated workflows that improve accuracy, efficiency, and scalability. \nPartner with Engineering and Data teams to strengthen tagging instrumentation, data quality, metric definitions, and access to trustworthy analytics data. \nCommunicate clear, executive-ready insights, analytical limitations, and recommended actions; explore responsible AI use cases in accordance with privacy and governance requirements. \nQualifications\n5-6 years of relevant experience in web analytics, digital product analytics, data analytics, or digital experience measurement. \nDemonstrated, hands-on proficiency in at least one of SQL or Python, with evidence of independently querying, transforming, validating, and analyzing complex datasets. SQL examples may include CTEs, joins, and window functions; Python examples may include pandas, data transformation, statistical analysis, and automation. \nStrong hands-on experience with Adobe Analytics or a comparable enterprise digital analytics platform; experience with Contentsquare or comparable behavioral analytics tools. \nSolid understanding of digital product KPIs, conversion funnels, customer journeys, event-based measurement, and analytics data quality. \nWorking knowledge of statistical inference, confidence intervals, hypothesis testing, and interpretation of observational findings. \nPractical experience using AI-enabled tools for analytics, coding, or workflow automation, including validation of AI-generated outputs. \nExperience building dashboards or reusable analytical workflows, and communicating technical findings to cross-functional stakeholders. \nPreferred Qualifications\nProficiency in both SQL and Python, including pandas, NumPy, SciPy, or comparable libraries. \nExperience with Power BI, Snowflake, Databricks, Azure, or similar modern data platforms. \nFamiliarity with APIs, Git, version control, AI coding assistants, and natural-language analytics. \nExperience with predictive analytics, anomaly detection, and causal inference. \nExperience in financial services or another highly regulated industry. \nWhat Success Looks Like\nThe successful candidate will independently solve complex analytical problems, deliver insights that influence digital product decisions, improve measurement quality, automate repetitive analytical work, and identify practical, responsibly governed opportunities to apply AI across the analytics lifecycle.\n\nThe salary range for Hungary is 13400000 - 20100000 HUFAdditionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.\nOur benefits\nTo help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.\nOur hybrid work model\nBlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.\n\nGuidance on AI use for candidates\nAt BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.\nAbout BlackRock\nAt BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.\nThis mission would not be possible without our smartest investment - the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.\nTo learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.\nBlackRock is proud to be an Equal Opportunity Employer. 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