Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Sr. Data Analyst, Generative AI

Davita Inc.
Broadway
1 month ago
Applications closed

Related Jobs

View all jobs

Sr. Data Engineer

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences, and embrace the flexibility to do your best work. Creating a career you love? It's possible.

Role Overview:

As a Senior Business Intelligence Analyst, you will analyze Pinterest datasets and develop visualization dashboards to extract insights at scale. You will lead advanced data analysis efforts to uncover trends that inform strategic initiatives, collaborate with teams to create reports and dashboards, and communicate findings to guide business strategies. You will empower markets and partners by providing valuable insights, especially where dedicated resources are unavailable.

What You'll Do:

  1. Data Strategy: Master Pinterest datasets and explore analytical opportunities to uncover advertiser value through data analysis.
  2. Data Visualization: Design visual representations, develop dashboards and reports, and translate patterns into actionable recommendations.
  3. Workflow Design: Develop data systems to extract insights relevant to advertisers, establishing effective processes.
  4. Collaboration and Mentorship: Guide team members and colleagues in using dashboards effectively.
  5. Execution Excellence: Drive the execution of complex insights and dashboard development.

Qualifications:

  • +5 years experience with large datasets and data visualization solutions, especially for sales organizations.
  • Proficiency in Tableau, Looker, and familiarity with Streamlit or Plotly Dash.
  • Skilled in Python, SQL, ETL workflows, and cloud platforms like AWS or GCP.
  • Strong business acumen and ability to transform vague questions into clear analyses.
  • Excellent communication skills for leading initiatives and articulating findings.
  • Experience leading technical projects and managing multiple tasks.
  • Ability to manage ambiguity, own solutions, and identify opportunities.
  • Understanding of user-centric design for dashboards.
  • Strong problem-solving skills and continuous learning mindset.
  • Experience working across regions with cultural sensitivity.
  • Bachelor's/Master's degree in relevant fields or equivalent experience.

Additional Information:

Relocation: Not eligible for relocation assistance. Visit our PinFlex page for more info.

In-Office Requirement: Role requires in-person collaboration near NY, Chicago, SF, or Seattle.

#LI-HYBRID #LI-AT6

Salary & Benefits:

US-based applicants only. Salary range: $97,104 — $199,920 USD. Position eligible for equity. Final salary based on experience, location, and skills. More info on Pinterest culture and benefits can be found here.

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer. All qualified applicants will receive consideration without regard to various protected characteristics. Support for accommodations is available upon request.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.