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Data Analyst - India

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 India.

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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What You Should Know About Data Analyst - India, Pearl

Hey there! If you're a Data Analyst with a passion for driving data adoption and shaping strategic decisions, we have an exciting opportunity at Pearl Talent for you! As a fully remote independent contractor, you'll have the chance to work with some of the sharpest minds in the industry while collaborating with top-tier clients. At Pearl Talent, we pride ourselves on connecting the best talent with the best startups in the US and EU, helping them to thrive in a fast-paced, data-driven world. In this role, you’ll be diving into diverse data sources using Python, SQL, and visualization tools to present actionable insights that can significantly impact our client's growth. Your analysis will help improve customer experiences and optimize operations, all while working within a company that values your contributions. You'll collaborate closely with cross-functional teams, enhancing data capabilities and ensuring the integrity of the information we use. Imagine being part of a team that not only cares about data but also about you! With competitive compensation and the flexibility of remote work, plus opportunities for learning and mentorship, Pearl Talent offers a nurturing environment to help you flourish in your career. So, if you're ready to make an impact and empower product leaders and marketers, don’t hesitate to apply for this fantastic Data Analyst position with us!

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

As a Data Analyst at Pearl Talent, your responsibilities will include supporting functional leaders in strategic data analyses, manipulating and visualizing diverse data sources to derive actionable insights, and collaborating with data engineers and scientists to enhance the organization's data capabilities. You will also develop ETLs and champion a data-driven culture across the organization.

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What qualifications are needed for the Data Analyst position at Pearl Talent?

To qualify for the Data Analyst position at Pearl Talent, you should have a strong understanding of SaaS business data analysis strategies, proficiency in Python and SQL, along with experience in data visualization libraries such as Plotly and Streamlit. Excellent communication skills and familiarity with collaborative tools like GitHub are also essential.

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What tools and technologies will I use as a Data Analyst at Pearl Talent?

In your role as a Data Analyst at Pearl Talent, you will primarily work with Python for data analysis using libraries like Pandas and Jupyter, SQL for querying data from lakes and warehouses, and interactive data visualization tools like Plotly and Streamlit. These tools will enable you to create impactful analyses and dashboards.

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What is the work culture like at Pearl Talent for a Data Analyst?

The work culture at Pearl Talent is collaborative and supportive, focusing on fostering a data-driven approach. You'll have the opportunity to work with exceptional founders, be part of cross-functional teams, and receive direct mentorship from industry experts, all in a fully remote setup!

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How does Pearl Talent support professional growth for Data Analysts?

Pearl Talent places a strong emphasis on professional development for Data Analysts. You will have ongoing access to learning resources, direct mentorship from industry leaders, and be involved in community-oriented opportunities that encourage networking and personal growth.

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Common Interview Questions for Data Analyst - India
How do you approach data analysis and visualization?

In your response, emphasize your strategic approach. Describe how you begin with understanding the business needs, and then identify the relevant data sources before analyzing patterns and trends. Discuss your preferred visualization tools and how you present your findings to stakeholders.

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Can you explain a challenging project you worked on as a Data Analyst?

Share a specific example focusing on the problem you faced, the actions you took to resolve it and the outcome. Highlight the skills and tools you used, and explain how this experience helped you grow as a Data Analyst.

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What techniques do you use to ensure data accuracy?

Discuss methods such as data cleansing, cross-referencing datasets, and automated validation checks. Explain the importance of data integrity in decision-making and how you tackle data discrepancies.

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How do you prioritize and manage multiple projects?

Explain your approach to project management, such as setting clear timelines, breaking tasks down into manageable parts, utilizing project management tools, and maintaining open communication with stakeholders to ensure all projects are on track.

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What experience do you have with SQL and Python?

Talk about your proficiency in SQL for querying databases and any specific projects involving complex queries. For Python, cite libraries you have worked with, such as Pandas and NumPy, and how you've used them in past analyses.

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How do you communicate complex data findings to non-technical stakeholders?

Discuss your strategy for simplifying data insights into clear, actionable recommendations. Mention creating visualizations that tell a story and tailoring your message to your audience’s level of understanding.

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What is your experience with ETL processes?

Share your previous ETL experience, specifying tools and methods you've used to extract, transform, and load data. Emphasize the importance of this process in ensuring accurate reporting and analysis.

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Can you give an example of how data influenced a business decision?

Discuss a specific instance where your data analysis provided insights that led to a decision-making process. Explain the situation, your analysis, and the outcome as a result of actionable insights.

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What are your favorite data visualization tools, and why?

Be honest about your favorites, perhaps mentioning Plotly and Streamlit if relevant. Discuss their features you appreciate, such as ease of use, interactivity, and the ability to deliver insights effectively.

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How do you keep your skills updated in the rapidly changing field of data analysis?

Talk about how you engage with learning opportunities such as online courses, seminars, webinars, and community involvement. Mention any relevant resources and networks you utilize to stay informed about new tools and techniques.

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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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