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Senior Data Analyst, Customer Success

About Us 

At SimplePractice, our team is dedicated to improving the health and wellness industry by building a suite of innovative solutions for practitioners and their clients. Our product supports practitioners on their clinical journey to becoming licensed, helps them manage their business and practice once they’re up and running, and enables new clients to discover and interact with practitioners. Taking a practitioner-first approach in everything we do makes it possible for health and wellness practitioners to devote more time to their clients while they use SimplePractice to start, grow, and maintain a successful private practice.

The Role

We are seeking a highly skilled Senior Data Analyst to join our Customer Success team. This role is pivotal in driving data-driven decisions and strategies to enhance customer satisfaction and retention.

The Senior Data Analyst will collaborate closely with cross-functional teams to collect, clean, and analyze data from multiple sources. They will apply advanced statistical techniques and data visualization tools to uncover actionable insights. Heavily relying on SQL and Tableau, this role will act as the enabler of data-driven decision making. This role offers an exciting opportunity for an analytical thinker who is looking to join a mission oriented company.

Responsibilities

  • Analyze and interpret complex data sets related to customer success metrics.
  • Develop and maintain team level dashboards and reports using Tableau to provide actionable insights.
  • Utilize Zendesk to track and analyze customer support interactions.
  • Develop a deep understanding of when and why customers churn.
  • Work with Customer Success Management software such as Gainsight or Churnzero to monitor customer health and predict churn.
  • Collaborate with cross-functional teams to identify opportunities for improving customer experience.
  • Present findings and recommendations to senior management and stakeholders.
  • Mentor junior analysts and provide guidance on best practices in data analysis.

Desired Skills & Experience

  • Bachelor’s degree in Data Science, Statistics, Math, Computer Science, or a related field. Advanced degree preferred.
  • Minimum of 7 years of experience in data analysis, preferably in a customer success or related field.
  • Proficiency in Tableau for data visualization and reporting.
  • Experience with Zendesk for customer support data analysis.
  • Familiarity with Customer Success Management software such as Gainsight or Churnzero.
  • Strong analytical skills with the ability to interpret complex data and provide actionable insights.
  • Excellent communication and presentation skills.
  • Ability to work collaboratively in a team environment and manage multiple projects simultaneously.

Base Compensation Range

$110,000 - $140,000 annually

Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.

The above represents the expected base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.

Benefits

We offer a competitive benefits program including:

  • Medical, dental, vision, life & disability insurance
  • 401(k) plan with company match
  • Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
  • Mental health resources
  • Paid parental leave & Backup Care
  • Tuition reimbursement
  • Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Average salary estimate

$125000 / YEARLY (est.)
min
max
$110000K
$140000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Analyst, Customer Success, SimplePractice

At SimplePractice, we're on a mission to revolutionize the health and wellness industry, and we need a passionate Senior Data Analyst to join our Customer Success team in beautiful Santa Monica, California, or remotely! In this pivotal role, you'll be the driving force behind data-driven strategies that enhance customer satisfaction and retention. Your analytical skills will help us interpret complex data sets, as you develop and maintain insightful dashboards and reports using Tableau. You'll collaborate with cross-functional teams, leveraging SQL and tools like Zendesk and Gainsight to understand customer interactions and predict churn. This is not just any role; it’s an exciting opportunity for someone who thrives on diving deep into data to advocate for the customer experience. If you're ready to take on a challenge, mentor junior analysts, and present your findings to senior management, then SimplePractice is the place for you. Join us and make a tangible impact while enjoying a comprehensive benefits package, including flexible time off and mental health resources. Let's transform the way practitioners connect with their clients together!

Frequently Asked Questions (FAQs) for Senior Data Analyst, Customer Success Role at SimplePractice
What does a Senior Data Analyst do at SimplePractice?

The Senior Data Analyst at SimplePractice plays a crucial role in analyzing customer success metrics, creating dashboards in Tableau, and providing actionable insights that drive strategies to enhance customer satisfaction and retention.

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What skills are required for the Senior Data Analyst position at SimplePractice?

Candidates should possess strong analytical skills, proficiency in Tableau and SQL, experience with Zendesk and customer success management software like Gainsight, and effective communication and presentation abilities for sharing insights with stakeholders.

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How does the Senior Data Analyst contribute to customer retention at SimplePractice?

In this role, the Senior Data Analyst utilizes data to identify churn patterns, monitor customer health, and provide recommendations that help improve the overall customer experience and retention strategies.

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Is the Senior Data Analyst position at SimplePractice remote-friendly?

Yes! While the office is located in Santa Monica, California, SimplePractice is open to remote work for the Senior Data Analyst role, providing flexibility for candidates nationwide.

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What is the expected salary range for the Senior Data Analyst at SimplePractice?

The base compensation for the Senior Data Analyst at SimplePractice ranges from $110,000 to $140,000 annually, with additional potential for annual bonuses or commissions based on performance.

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What benefits does SimplePractice offer for the Senior Data Analyst role?

SimplePractice offers a comprehensive benefits program that includes medical, dental, vision insurance, flexible time off, mental health resources, and tuition reimbursement among other perks for the Senior Data Analyst position.

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What kind of projects will the Senior Data Analyst work on at SimplePractice?

The Senior Data Analyst will work on projects involving data collection, cleaning, and analysis, forecast customer trends, and create intuitive dashboards that guide the Customer Success team in their strategic efforts.

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Common Interview Questions for Senior Data Analyst, Customer Success
How would you approach analyzing customer churn data as a Senior Data Analyst?

Begin by identifying key metrics related to customer engagement and satisfaction. Utilize tools like Tableau to visualize data trends, and apply statistical methods to understand churn triggers. Present your findings clearly to assist decision-making.

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What advanced statistical techniques are you familiar with that could be applied in this role?

I am experienced in techniques such as regression analysis, cohort analysis, and predictive modeling. These can be invaluable when identifying patterns in customer behavior and making projections about future trends.

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Can you explain a time when your data analysis significantly impacted decision-making?

In a previous role, I analyzed customer feedback correlated with attrition rates, which revealed key areas for improvement. My recommendations led to changes that increased customer satisfaction by 25% and decreased churn.

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What tools do you prefer for data visualization and why?

I prefer using Tableau due to its user-friendly interface and powerful capabilities for creating interactive dashboards. It effectively communicates insights to stakeholders, fostering data-driven discussions and decisions.

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How do you ensure data integrity when working on analytics projects?

Ensuring data integrity involves implementing rigorous data validation processes, regularly cross-referencing data sources for discrepancies, and maintaining clear documentation of data handling practices.

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How do you prioritize projects as a Senior Data Analyst?

I prioritize projects based on their potential impact on customer success, urgency communicated by stakeholders, and alignment with overall business goals. Regular check-ins with my team also help ensure collaboration in project prioritization.

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How do you stay updated with advancements in data analysis?

I stay updated through a combination of professional development courses, webinars, attending industry conferences, and being an active member of data science online communities to learn from peers and experts.

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Describe your experience with Zendesk for customer support analysis.

I have utilized Zendesk to track support tickets, analyze customer interactions, and develop reports that highlight trends in customer inquiries. This helped optimize the support team's response strategy and improve customer experience.

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What methods do you use to present complex data findings to non-technical stakeholders?

I focus on using simple language, visual aids, and storytelling techniques to convey findings. Ensuring context and relevance to their specific needs makes the data more relatable and actionable.

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What do you see as the biggest challenge in the Senior Data Analyst role?

One of the biggest challenges is ensuring collaboration across departments to gather diverse data inputs while aligning analytical outcomes with strategic initiatives. Effective communication and relationship-building are crucial in overcoming this.

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MATCH
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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
November 28, 2024

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