At a Glance
- Tasks: Analyse data and create visual dashboards to drive strategic insights.
- Company: Pinterest inspires millions to create a life they love through innovative ideas.
- Benefits: Competitive salary, equity options, and a flexible work environment.
- Why this job: Join a creative team that values innovation and collaboration while making a real impact.
- Qualifications: 5+ years in data analysis, proficiency in Tableau, Python, SQL, and strong communication skills.
- Other info: In-person collaboration required in select US cities; relocation assistance not available.
The predicted salary is between 60000 - 84000 £ per year.
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:
- Data Strategy: Master Pinterest datasets and explore analytical opportunities to uncover advertiser value through data analysis.
- Data Visualization: Design visual representations, develop dashboards and reports, and translate patterns into actionable recommendations.
- Workflow Design: Develop data systems to extract insights relevant to advertisers, establishing effective processes.
- Collaboration and Mentorship: Guide team members and colleagues in using dashboards effectively.
- 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.
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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.
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Sr. Data Analyst, Generative AI employer: DaVita Inc.
Contact Detail:
DaVita Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Data Analyst, Generative AI
✨Tip Number 1
Familiarise yourself with Pinterest's datasets and the specific analytical opportunities they present. Understanding how to extract advertiser value from these datasets will give you a significant edge during interviews.
✨Tip Number 2
Showcase your data visualisation skills by creating sample dashboards using tools like Tableau or Looker. This hands-on demonstration of your abilities can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with Python, SQL, and ETL workflows in detail. Be ready to provide examples of how you've used these skills to solve complex problems in previous roles.
✨Tip Number 4
Highlight your collaboration and mentorship experiences. Pinterest values teamwork, so sharing instances where you've guided others or worked across teams can demonstrate your fit for their culture.
We think you need these skills to ace Sr. Data Analyst, Generative AI
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Sr. Data Analyst position at Pinterest. Understand the key responsibilities and qualifications required, so you can tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with large datasets and data visualisation tools like Tableau and Looker. Provide specific examples of how you've used these skills in previous roles to drive business insights.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and ETL workflows. Mention any experience with cloud platforms such as AWS or GCP, as these are crucial for the role. Use bullet points to make this information easy to digest.
Communicate Effectively: Since excellent communication skills are essential for this role, ensure your application reflects your ability to articulate complex findings clearly. Consider including a brief example of a successful project where you communicated insights to stakeholders.
How to prepare for a job interview at DaVita Inc.
✨Know Your Data
Familiarise yourself with Pinterest's datasets and the types of analyses they typically conduct. Be prepared to discuss how you would approach extracting insights from these datasets, as this will demonstrate your understanding of the role and its requirements.
✨Showcase Your Visualisation Skills
Since data visualisation is a key part of the role, bring examples of dashboards or reports you've created in the past. Be ready to explain your design choices and how they helped convey complex information clearly.
✨Communicate Clearly
Practice articulating your findings and recommendations succinctly. Strong communication skills are essential for this position, so be prepared to explain technical concepts in a way that non-technical stakeholders can understand.
✨Demonstrate Collaboration
Pinterest values teamwork, so think of examples where you've successfully collaborated with others on data projects. Highlight your experience in mentoring colleagues and how you've guided them in using data tools effectively.