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Lead Data Analyst - Remote

As a Lead Data Analyst at Facet, you will lead efforts to equip Facet operations and product teams with the insights they need to maximize performance. You will join the Data Science & Analytics team within Facet tasked with modeling, understanding, and automating various aspects of our growth, margin, and retention initiatives. You will work with your teammates and stakeholders on both displaying the truth of the past, while doing your best to predict the unknown. You should be comfortable with communication, analysis, information design, managing competing priorities, and writing quality code. In this role you will work with data across all domains of the business and support leaders from all departments. The perfect candidate loves working on a wide range of questions, has exemplary interpersonal skills, enjoys embedding themselves in cross-functional teams, and is creative in finding ways to solve ad hoc problems.

Day-To-Day Responsibilities:

  • Create visibility of Facet operations and product performance: Measuring performance against assumptions is how we learn and improve. As Lead Data Analyst, it will be your responsibility to equip Facet teams with the data they need to see evaluate the performance of their processes and products.
  • Drive improvement in Facet’s business: You will be responsible for analyzing data to discover ways to improve Facet’s business. You will proactively identify opportunities and prioritize your work to help Facet achieve its business priorities. You will work directly with your teammates across the business to educate them on insights and drive changes in their strategy.
  • Be a trusted strategic partner: Data Science & Analytics supports all teams at Facet, meaning it’s critical that you build and maintain lines of communication with the teams that are driving metrics. You will embed yourself with these teams, build trust, learn their processes, and use your analytical skills to help them improve.
  • Data Engineering: We are a newer team at a growing company, and you’ll need to do a lot of your own data engineering. Gather, clean, and preprocess data from various sources, ensuring accuracy and consistency. Collaborate with Analytics Engineering to ensure data workflows result in clean, optimized data models.
  • Evaluate & Produce Quality: Good code is reviewed code. You will be involved in ensuring your and your teammates’ code is free from errors, bias, and is easy to understand.

Basic Qualifications:

  • 6+ years of experience in a business intelligence, analytics, or decision scientist role, with at least 3 years of experience working directly with consumer data on marketing, sales, delivery of service, and retention problems
  • Experience with BigQuery, Snowflake, or similar data warehouse solutions
  • Proficiency with SQL
  • Proficiency with dbt
  • Proficiency with Google Sheets
  • Proficiency with version control
  • Proven ability to work both independently and as part of a team
  • Experience collaborating with Analytics Engineers to create modular, highly optimized data models
  • Experience collaborating with Data Scientists and Machine Learning Engineers to solve complex predictive problems
  • An expert at building rapport and trust with business leaders and cross-functional teammates
  • Proficient at investigating and documenting business processes and user flows
  • Strong understanding of core consumer tech businesses and the metrics that matter to them, including: LTV, retention, CAC, RAC, ARR, ARPC, margin, NPS, CSAT, and behavioral metrics
  • Experience working with data from Salesforce CRM
  • Experience working with behavioral data from website and email tracking tools such as Google Analytics, Segment, and Iterable
  • Familiar with best practices in secure data handling and customer data privacy

Preferred Qualifications:

  • Prior experience in the financial planning industry
  • Prior experience in the consumer technology industry
  • Proficiency with Python
  • Proficiency with Airflow
  • Experience building reports in scriptable BI tools like Streamlit or Dash
  • $150,000 - $180,000 annual salary + bonus determined by the experience, knowledge, skills, and abilities of the applicant - Please note, our salary ranges are based on current market data. Should you feel strongly that we are not in line, we highly recommend you to reach out and let us know. We are always looking to improve on building the best place for employees.
  • Equity 
  • Flexible PTO
  • All the benefits: medical, dental, and vision insurance, 401(k) with employer match, short and long term disability coverage (paid by Facet), life insurance options and paid parental leave
  • Certification reimbursement program 
  • Work from anywhere in the US
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What You Should Know About Lead Data Analyst - Remote, Facet

Facet is on the lookout for a Lead Data Analyst to join our dynamic Data Science & Analytics team, and this role can be performed remotely! In this exciting position, you'll be at the heart of our operations, providing the insights that our product and operations teams need to excel and maximize performance. You'll not only dive deep into data but also become a crucial partner in building bridges across various departments. With over six years of experience under your belt, you're familiar with consumer data, and your expertise in tools like BigQuery and SQL will shine as you analyze data to reveal improvement opportunities for our growth, margin, and retention initiatives. You'll be responsible for creating visibility into our operations and product performance, ensuring that necessary data is available for evaluation and strategic planning. Your day-to-day tasks will include embedding yourself within cross-functional teams to understand their processes and offer analytical support for improving strategies. Given our newer team's status in a growing company, your ability to handle data engineering tasks, from gathering to cleaning and preprocessing, will be vital. Collaboration will be key, whether it's with Analytics Engineers or building trusted relationships with business leaders. If you're a creative problem-solver with a passion for data and a desire to make an impact, we would love to hear from you!

Frequently Asked Questions (FAQs) for Lead Data Analyst - Remote Role at Facet
What responsibilities does the Lead Data Analyst at Facet have?

As a Lead Data Analyst at Facet, your key responsibilities include creating visibility of operations and product performance by implementing data analysis and insight generation. You'll proactively identify opportunities for improvement, educate teams on data-driven insights, and build strong communications with cross-functional teams to drive strategic changes.

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What qualifications are needed for the Lead Data Analyst position at Facet?

To qualify for the Lead Data Analyst role at Facet, candidates should have at least 6 years of experience in business intelligence or analytics, with a focus on consumer data. Proficiency in SQL, BigQuery, and data modeling alongside strong interpersonal skills are critical, as well as the ability to work independently and collaboratively.

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What tools and technologies should a Lead Data Analyst at Facet be familiar with?

The ideal Lead Data Analyst at Facet should be proficient with tools such as SQL, BigQuery, and dbt for data manipulation and modeling. Familiarity with Google Sheets, Salesforce CRM, and behavioral data tracking tools like Google Analytics will also be advantageous, along with having experience in version control.

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How does Facet expect the Lead Data Analyst to support overall business improvement?

Facet expects the Lead Data Analyst to drive business improvement by analyzing data to discover opportunities and collaborating with various teams to enhance strategies. The role involves being a trusted strategic partner through effective communication and trust-building to ensure metrics drive positive changes.

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What benefits does Facet offer for the Lead Data Analyst position?

Facet offers a competitive salary range of $150,000 - $180,000, alongside bonuses based on performance. Additional benefits include equity, flexible PTO, comprehensive medical, dental, and vision insurance, as well as a 401(k) with employer match. Other perks include a certification reimbursement program and the luxury of working remotely from anywhere in the US.

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Common Interview Questions for Lead Data Analyst - Remote
Can you describe your experience with data manipulation and analysis?

In answering this question, detail your proficiency in tools like SQL or BigQuery, and provide examples of how you've used these tools in previous roles. Mention specific projects where your data analysis led to important business insights or improvements.

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How do you prioritize competing data projects?

Explain your approach to prioritizing projects, such as using metrics or business impact assessments to guide your decisions. It can be beneficial to share a specific experience where you had to balance multiple priorities successfully.

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What strategies do you employ to build trust with cross-functional teams?

Discuss your interpersonal skills and previous experiences where you successfully collaborated with other departments. Emphasize your commitment to clear communication and understanding their needs to gain their trust.

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Describe a time when you identified a significant opportunity for business improvement through data.

Provide a specific example that highlights your analytical skills and the impact of your findings. Detail the process you followed from data analysis to the eventual business decision that stemmed from your insights.

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What is your process for data cleaning and preprocessing?

Outline your method for ensuring data integrity, mentioning any specific tools or techniques you use to clean and preprocess data. Provide examples that demonstrate your attention to detail and how it has benefited your analysis.

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How do you handle disagreements or differing opinions on data interpretations?

Discuss a particular instance where you navigated conflicting viewpoints, focusing on how you facilitated discussions to reach a consensus while ensuring that the data-driven decisions still align with business objectives.

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What role does storytelling play in your data presentations?

Elaborate on how you use storytelling elements to convey data insights convincingly to stakeholders. Share an example when your storytelling approach resonated with your audience, leading to actionable outcomes.

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How familiar are you with consumer tech metrics like LTV and CAC?

Provide a detailed explanation of your understanding of key consumer tech metrics, demonstrating your ability to analyze and interpret these metrics in a business context. Discuss how you've applied this knowledge in past roles.

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Can you give an example of a collaborative project you've worked on?

Share a specific project where you worked with others, highlighting your collaborative role and the project's outcome. Focus on the communication and teamwork aspects that contributed to success.

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What are your future career aspirations in data analytics?

Articulate your long-term career goals within data analytics, particularly how you aim to leverage your skills as a Lead Data Analyst at Facet. This is a great opportunity to show your passion for continued learning and growth in the field.

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We believe financial planning, when done right, is essential to living well. That’s why we created Facet. Our mission is to improve the lives of millions of Americans by offering impartial and valuable financial advice and services at an affordabl...

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Full-time, remote
DATE POSTED
December 10, 2024

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