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Analytics Associate – Digital Product, Data & AI (Fixed Term)

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What you’ll work on

Full posting

The 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.

Within 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.

  • Analyze digital journeys, funnels and product performance, and recommend actions

  • Define KPIs and measurement plans, then evaluate launches with pre/post analysis

  • Query and analyze complex datasets using SQL and/or Python

  • Build reusable queries, scripts, dashboards and automated workflows

  • Use AI-assisted tools for exploratory analysis, while validating results

From the employer’s posting
The 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.
Within 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.
Analyze digital journeys, engagement, conversion funnels, and product performance; translate findings into actionable recommendations
Define KPIs and measurement plans for product launches, redesigns, and enhancements; evaluate outcomes through pre/post analysis and statistical methods.
Independently query, transform, validate, and analyze complex datasets using SQL and/or Python
Develop reusable analytical queries, scripts, dashboards, and automated workflows
Apply AI-assisted tools to accelerate exploratory analysis, coding, anomaly investigation, documentation, and insight generation while independently validating results.

What you’ll bring

All qualifications

Core experience

  • 5–6 years of relevant experience in web analytics, digital product analytics, data analytics, or digital experience measurement.
  • SQL examples may include CTEs, joins, and window functions; Python examples may include pandas, data transformation, statistical analysis, and automation.
  • Solid understanding of digital product KPIs, conversion funnels, customer journeys, event-based measurement, and analytics data quality.
  • Practical experience using AI-enabled tools for analytics, coding, or workflow automation, including validation of AI-generated outputs.
  • Experience building dashboards or reusable analytical workflows, and communicating technical findings to cross-functional stakeholders.

Preferred experience

  • Proficiency in both SQL and Python, including pandas, NumPy, SciPy, or comparable libraries.
  • Experience with Power BI, Snowflake, Databricks, Azure, or similar modern data platforms.
  • Familiarity with APIs, Git, version control, AI coding assistants, and natural-language analytics.
  • Experience with predictive analytics, anomaly detection, and causal inference.
Qualification wording
5–6 years of relevant experience in web analytics, digital product analytics, data analytics, or digital experience measurement.
Demonstrated, 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.
Solid understanding of digital product KPIs, conversion funnels, customer journeys, event-based measurement, and analytics data quality.
Practical experience using AI-enabled tools for analytics, coding, or workflow automation, including validation of AI-generated outputs.
Experience building dashboards or reusable analytical workflows, and communicating technical findings to cross-functional stakeholders.
Proficiency in both SQL and Python, including pandas, NumPy, SciPy, or comparable libraries.
Experience with Power BI, Snowflake, Databricks, Azure, or similar modern data platforms.
Familiarity with APIs, Git, version control, AI coding assistants, and natural-language analytics.
Experience with predictive analytics, anomaly detection, and causal inference.

Benefits in the posting

Full benefits wording
  • To 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.
  • Our hybrid work model
  • BlackRock’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.
  • Guidance on AI use for candidates

From the employer’s posting.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.

In the employer’s words · Read in context

Apply at BlackRock

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 12, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 5 and day 43.

At BlackRock, jobs usually come down by about day 37.

From 14,728 similar postings that came down, and 196 of BlackRock’s. Coming down is not always a hire.

BlackRock is hiring

64 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Analyst hiring is steady
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Databricks
  • Power BI
  • Snowflake
  • NumPy
  • pandas
  • SciPy
Where the posting names them
We 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. The 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. This role is based in Budapest, Hungary.
- Define KPIs and measurement plans for product launches, redesigns, and enhancements; evaluate outcomes through pre/post analysis and statistical methods. - Independently query, transform, validate, and analyze complex datasets using SQL and/or Python; combine behavioral and business data to uncover deeper insights. - Apply AI-assisted tools to accelerate exploratory analysis, coding, anomaly investigation, documentation, and insight generation while independently validating results.
- 5–6 years of relevant experience in web analytics, digital product analytics, data analytics, or digital experience measurement. - Demonstrated, 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. - Strong hands-on experience with Adobe Analytics or a comparable enterprise digital analytics platform; experience with Contentsquare or comparable behavioral analytics tools.
Preferred Qualifications - Proficiency in both SQL and Python, including pandas, NumPy, SciPy, or comparable libraries. - Experience with Power BI, Snowflake, Databricks, Azure, or similar modern data platforms.
- Proficiency in both SQL and Python, including pandas, NumPy, SciPy, or comparable libraries. - Experience with Power BI, Snowflake, Databricks, Azure, or similar modern data platforms. - Familiarity with APIs, Git, version control, AI coding assistants, and natural-language analytics.

Your next step

Complete your application on careers.blackrock.com. The employer’s form will show what is required.

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Has BlackRock posted this job before?

Yes. We’ve followed one other Analytics Associate – Digital Product, Data & AI (Fixed Term) job there since November 2026. It is still up.

  1. Place not statedStill up after 2 days, first seen Nov 12
  2. This jobUp 2 days so far, first seen Nov 12

About BlackRock

People
About 24,900 in 2025.Annual report (SEC Form 10-K)
Company
Listed as BLK.

Demand for Analyst roles

New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 993, the most 1,515, and the latest week had 1,515.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

About this role

The Team 

The 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. 


Within 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. 


The 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. 


Role and Impact 

We 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. 


The 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. 

This role is based in Budapest, Hungary. 


Responsibilities 

  • Analyze digital journeys, engagement, conversion funnels, and product performance; translate findings into actionable recommendations for Product, UX, and business partners. 
  • Define KPIs and measurement plans for product launches, redesigns, and enhancements; evaluate outcomes through pre/post analysis and statistical methods. 
  • Independently query, transform, validate, and analyze complex datasets using SQL and/or Python; combine behavioral and business data to uncover deeper insights. 
  • Apply AI-assisted tools to accelerate exploratory analysis, coding, anomaly investigation, documentation, and insight generation while independently validating results. 
  • Develop reusable analytical queries, scripts, dashboards, and automated workflows that improve accuracy, efficiency, and scalability. 
  • Partner with Engineering and Data teams to strengthen tagging instrumentation, data quality, metric definitions, and access to trustworthy analytics data. 
  • Communicate clear, executive-ready insights, analytical limitations, and recommended actions; explore responsible AI use cases in accordance with privacy and governance requirements. 

Qualifications 

  • 5–6 years of relevant experience in web analytics, digital product analytics, data analytics, or digital experience measurement. 
  • Demonstrated, 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. 
  • Strong hands-on experience with Adobe Analytics or a comparable enterprise digital analytics platform; experience with Contentsquare or comparable behavioral analytics tools. 
  • Solid understanding of digital product KPIs, conversion funnels, customer journeys, event-based measurement, and analytics data quality. 
  • Working knowledge of statistical inference, confidence intervals, hypothesis testing, and interpretation of observational findings. 
  • Practical experience using AI-enabled tools for analytics, coding, or workflow automation, including validation of AI-generated outputs. 
  • Experience building dashboards or reusable analytical workflows, and communicating technical findings to cross-functional stakeholders. 

Preferred Qualifications 

  • Proficiency in both SQL and Python, including pandas, NumPy, SciPy, or comparable libraries. 
  • Experience with Power BI, Snowflake, Databricks, Azure, or similar modern data platforms. 
  • Familiarity with APIs, Git, version control, AI coding assistants, and natural-language analytics. 
  • Experience with predictive analytics, anomaly detection, and causal inference. 
  • Experience in financial services or another highly regulated industry. 

What Success Looks Like 

The 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. 



The salary range for Hungary is 13400000 - 20100000 HUF

Additionally, 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.

Our benefits

To 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.

Our hybrid work model

BlackRock’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.


Guidance on AI use for candidates


At 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.


About BlackRock


At 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.


This 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.


To 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.


BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

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Budapest, Hungary

To 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. Our hybrid work model BlackRock’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. Guidance on AI use for candidates
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