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Data Analyst - Philippines

Work Arrangement: Fully remote, overlapping EST working hours
Job Type: Independent Contractor, Full-time
Salary Range: Competitve salary.
Work Schedule: 40 hours per week, with core hours between 9 AM – 6 PM EST
Locations: Remote, open to candidates in Philippines.

About Pearl Talent:

Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.

Why Work with Us?

We mean what we say that we’re building a different recruiting company here. We only work with exceptional founders from the US and EU who care about the long-term success of their team members. We also provide you with attainable 3, 6, 9, 12 month, and beyond retention bonuses in addition to community-oriented opportunities like an annual retreat.

About the Company:

The client is on a mission to empower product leaders and marketers to build products their customers truly value! They help businesses communicate more effectively with their customers and as a result, we are the most loved platform by product marketing teams across the globe. They have recently acquired Userflow to make a foray into the Product Onboarding and Analytics space. Backed by investors with success in SaaS (Dropbox, Solarwinds, Datadog), the company is early-stage, profitable, and growing—offering a greenfield of impact for ambitious professionals.

Role Overview:

As a Data Analyst, you’ll lead the charge in driving data adoption across the organization. Collaborating with cross-functional teams, you’ll use Python and other tools to create impactful analyses, dashboards, and data visualizations that inform strategic decisions. This role is ideal for a candidate passionate about fostering a data-driven culture and delivering actionable insights that shape business outcomes.

Your Impact:

Your work will directly contribute to empowering company's growth through strategic data analysis and visualization. You’ll champion data integrity, develop ETLs, and create interactive tools that enable teams to make informed decisions. Your efforts will help optimize operations, improve customer experience, and set the stage for the company continued success in the SaaS industry.

Key Responsibilities:

  1. Strategic Data Analysis:
    • Support functional leaders in developing strategic data analyses.
    • Manipulate and visualize diverse data sources to derive actionable insights.
  2. Collaboration & Development:
    • Partner with data engineers and scientists to enhance organizational data capabilities.
    • Build analyses, dashboards, and interactive data apps using Python libraries such as Pandas, Plotly, and Streamlit.
  3. Data Integration & Enrichment:
    • Develop ETLs to optimize data sources within a data lake.
    • Ensure data accuracy and integrity across all representations.
  4. Stakeholder Engagement:
    • Work within cross-functional teams to define and refine data requirements.
    • Champion data adoption and foster a data-driven culture across the organization.

Must-have:

  • Strong understanding of SaaS business data analysis strategy and typical views.
  • Strong proficiency with Python, including data analysis/manipulation libraries such as Pandas and Jupyter.
  • Strong proficiency with SQL for querying from data lakes/warehouses, including advanced joins and CTEs.
  • Experience using GitHub as a collaborative coding tool.
  • Familiarity with interactive data visualization libraries like Plotly and Streamlit.
  • Excellent communication and collaboration abilities, especially when it comes to data presentation.
  • Strong English procienfy.

Compensation Package:

  • Competitive Salary:  based on experience and skills
  • Remote Work: Fully remote—work from anywhere
  • Generous PTO: Ample paid time off to rest and recharge
  • Direct Mentorship: Grow through guidance from international industry experts
  • Learning & Development: Ongoing access to resources for professional growth
  • Global Networking: Work and connect with professionals around the world
  • Work-Life Balance: Flexible hours that support a healthy work-life balance

Our Recruitment Process:

  1. Application
  2. Screening
  3. Top-grading Interview
  4. Skills Assessment
  5. Client Interview
  6. Job Offer
  7. Client Onboarding

Ready to Join Us?

If this role aligns with your skills and career goals, we’d love to hear from you. Apply now to take the next step in your journey with Pearl.

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Average salary estimate

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What You Should Know About Data Analyst - Philippines, Pearl

Join Pearl Talent as a Data Analyst and take your career to the next level from the comfort of your home in the Philippines! This fully remote, full-time position allows you to work during core hours of 9 AM to 6 PM EST, ensuring you'll sync seamlessly with our US-based clients. At Pearl, we take pride in connecting the top 1% of candidates with stellar startups across the US and EU, backed by heavyweights like OpenAI and a16z. As a Data Analyst, you'll be at the heart of our mission to empower product leaders and marketers to build customer-centric products. You'll collaborate with cross-functional teams, leveraging your Python skills to create impactful analyses and visually compelling dashboards that drive strategic decisions. By fostering a data-driven culture, you'll contribute directly to optimizing our operations and enhancing customer experience. We strive to create an exceptional work environment, offering competitive salaries, generous PTO, mentorship from industry experts, and opportunities for global networking. This is your chance to showcase your analytical talents and make a real impact in the SaaS space while getting rewarded for your hard work. Ready to embrace this exciting challenge? Apply now and let's create a brighter future together!

Frequently Asked Questions (FAQs) for Data Analyst - Philippines Role at Pearl
What are the core responsibilities of a Data Analyst at Pearl Talent?

As a Data Analyst at Pearl Talent, your primary responsibilities include supporting functional leaders in developing strategic data analyses, manipulating diverse data sources to derive actionable insights, collaborating with data engineers to enhance data capabilities, and developing ETLs to optimize data sources within a data lake. You will also champion data integrity while working closely in cross-functional teams to refine data requirements.

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What skills are required for the Data Analyst role at Pearl Talent?

To thrive in the Data Analyst position at Pearl Talent, you'll need a strong proficiency in Python and SQL, particularly with libraries such as Pandas for data manipulation. Experience using GitHub for collaborative coding and familiarity with interactive data visualization tools like Plotly and Streamlit are also critical. Excellent communication skills are essential, especially in data presentation, as well as a solid understanding of SaaS business data analysis strategies.

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How does Pearl Talent support career development for Data Analysts?

Pearl Talent is committed to the professional growth of its employees. As a Data Analyst, you'll have ongoing access to learning and development resources, personalized mentorship from industry experts, and the chance to partake in community-oriented opportunities including an annual retreat. Our compensation package also includes retention bonuses, creating a clear pathway for career advancement.

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What does the work environment look like for a Data Analyst at Pearl Talent?

At Pearl Talent, you'll enjoy a fully remote work environment which allows for great flexibility and effective work-life balance. Our team is global, connecting you with professionals from around the world. We emphasize a collaborative atmosphere, encouraging data adoption and fostering a culture of communication, which leads to innovative problem-solving and strategic contributions to our client’s success.

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What can a new Data Analyst expect during the recruitment process at Pearl Talent?

The recruitment process for a Data Analyst at Pearl Talent is thorough and designed to identify the best candidates. It comprises several steps including an application, screening, a top-grading interview, skills assessment, a client interview, and finally, a job offer followed by client onboarding. This structured approach ensures we find the perfect fit for both you and our valued clients.

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Common Interview Questions for Data Analyst - Philippines
Can you explain your experience with Python in data analysis?

When answering this question, highlight your specific experiences using Python libraries such as Pandas and NumPy. Share examples of projects where you analyzed datasets, manipulated data, or created visualizations using libraries like Matplotlib or Seaborn.

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How do you ensure data integrity in your analysis?

It’s important to discuss your techniques for validating data, such as implementing checks during the ETL processes or cross-referencing against reliable sources. Give examples of situations where you identified discrepancies and how you rectified them.

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Describe a complex data visualization project you worked on.

Use this opportunity to showcase your skills with a specific example, discussing the tools you used (like Plotly or Streamlit), the intended goal of the visualization, and how the final product influenced decision making.

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What strategies would you use to promote a data-driven culture within a team?

Talk about your approach to collaboration and communication, sharing specific initiatives you’ve led or participated in that foster collective understanding and effective use of data amongst team members.

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How do you handle conflicting data from multiple sources?

Discuss your method for reconciling conflicting data, including the steps taken to investigate discrepancies, how you would involve stakeholders for context, and the final approach you took to present findings accurately.

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What role do you think a Data Analyst plays in a SaaS company?

Elaborate on the integral role Data Analysts have in informing strategic decisions, optimizing processes, and enhancing customer experiences. Emphasize your understanding of the SaaS industry and the impact data can have on product development.

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How familiar are you with creating ETL processes?

Provide insights into your experience with ETL development, discussing any tools or frameworks you've used and the significance of these processes in ensuring accurate and accessible data for analysis.

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What is your experience with SQL, especially for complex queries?

Share specific examples showcasing your proficiency with SQL in querying databases, particularly advanced joins and common table expressions. Offer insights into how this skill supports your analyses.

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Can you give an example of actionable insights derived from your analysis?

Highlight a specific case where your analysis led to tangible business outcomes. Focus on the context, the insights gained, and how they were implemented, ultimately contributing to the company's success.

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How do you stay updated with the latest data analysis trends and tools?

Discuss your commitment to continuous learning through online courses, seminars, and reading relevant publications. Mention specific platforms you use and share any recent tools or techniques that you’ve applied in your work.

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P By Pearl

Rat-a-tat-tat and a ringa-ding-ding. What's that? Answer: The sounds emanating from Pearl, one of the world's foremost distributors of drums and other percussion and musical instruments. Its products, sold under the Pearl and Adams names, range fr...

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Full-time, remote
DATE POSTED
December 25, 2024

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