Urgent! Staff Data Analyst Job Opening In Singapore, Singapore – Now Hiring Stripe
Stripe is a financial infrastructure platform for businesses.
Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.
Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.
That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together.
You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives.
We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.
What you’ll do
In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly.
You will work closely with partners to extract insights from Stripe's rich and complex data.
You will also work with leaders to translate business needs into data problems.
You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business.
You will deliver actionable business recommendations through analyses and data storytelling.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role.
If you meet these requirements, you are encouraged to apply.
The preferred qualifications are a bonus, not a requirement.
10+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
Proficiency in SQL and Python
Strong statistical knowledge
Expertise in visualization and using data insights to make recommendations and achieve goals
Proven ability to manage and deliver on multiple projects with great attention to detail
Ability to clearly communicate results and drive impact
Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.
Demonstrated ability to influence the strategic direction of stakeholders
Experience mentoring junior data analysts
Preferred qualifications
Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field
Prior experience at a growth stage internet or software company
Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines
Good understanding of development processes and best practices like engineering standards, code reviews, and testing
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users.
This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.
The annual salary range for this role in the primary location is S$184,000 - S$276,000.
This range may change if you are hired in another location.
For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location.
Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.
Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process.
Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.
At Stripe, we're looking for people with passion, grit, and integrity.
You're encouraged to apply even if your experience doesn't precisely match the job description.
Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns.
At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions.
Join us.
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Unlock Your Staff Data Potential: Insight & Career Growth Guide
Real-time Staff Data Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Staff Data in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 7694 jobs in Singapore and 6961 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Staff Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Stripe is currently hiring and seeking a Staff Data Analyst to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Staff Data Analyst Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Stripe adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Staff Data Analyst Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Staff Data Analyst typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Staff Data Analyst interview at Stripe, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Stripe's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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