Data Analytics Lead

Quid; United States; Remote; USD 125,000 - 150,000; Full time

Job summary

Join a leading company where the role of Data Analytics Lead combines analytical expertise with strategic project coordination. At Quid, you will pioneer projects connecting data insights across teams and drive innovation within a remote-first culture. Your experience in analytics and data visualization tools will be pivotal in transforming data into actionable outcomes.

Benefits

20 Days PTO

13 Holidays

Company provided equipment

401K with company match

Paid Parental Leave

Employee Wellness Program

Medical, Dental, Vision Coverage

4 Week Sabbatical after five years

Qualifications

• 3–5 years of experience in analytics, business intelligence, or data-driven roles.
• Strong proficiency in data visualization tools and Python for data analysis.
• Excellent communication and stakeholder management skills.

Responsibilities

• Own and deliver analytics workstreams for internal and client-facing projects.
• Support Outcomes Engineering teams and conduct analytics deep-dives.
• Translate business questions into data science approaches.

Skills

Data Visualization

Communication

Stakeholder Management

Data Analysis

Analytical Skills

Education

Bachelor's Degree in Data Analytics or a related field

Tools

Tableau

Looker

Power BI

Python

SQL

Job description

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Job Title: Data Analytics Lead

Compensation Range: $125,000-150,000 + 10% Bonus DOE

This role can be remote anywhere in the US.

Models. Insights. Outcomes.

Become one of the changemakers. At Quid, you won’t just be joining a team but contributing to a culture of innovation, where every challenge becomes an opportunity to learn and grow. When you join our team, you’re not just stepping into a job, you’re embracing a future where we lead the game with the unmatched advantage of foresight.

Position Overview

As a Data Analytics Lead, you will play a hybrid role: part hands-on data analyst, part project coordinator, and part strategic partner to internal and external teams. You will own analytics workstreams, guide the development of dashboards and insights, and help connect the dots across product, engineering, and customer delivery. This is a great fit for someone with strong analytical skills who’s ready to step into more leadership and cross-functional influence.

Key Responsibilities

• Own and deliver analytics workstreams for internal initiatives and client-facing projects
• Work closely with product and engineering teams to define and track key metrics, support feature validation, and inform roadmap decisions
• Support Outcomes Engineering teams by building data integration solutions, conducting deep-dives, and identifying new analytics approaches
• Lead discovery conversations with stakeholders to scope analytics needs and frame data questions
• Translate business questions into data science approaches and communicate findings to non-technical stakeholders
• Analyze large structured and unstructured datasets using statistical, predictive, and generative techniques
• Design and execute experiments to test model performance and improve accuracy, fairness, and robustness
• Manage multiple analytics projects and priorities with minimal oversight
• Present findings and recommendations clearly to technical and non-technical audiences
• Contribute to best practices for data quality, reporting, and documentation
• Integrate with and test HTTP APIs to trigger services or pull back data

Required Qualifications

• 3–5 years of experience in analytics, business intelligence, or data-driven product or consulting roles
• Strong proficiency in data visualization tools like Tableau, Looker, or Power BI
• Working knowledge of Python for data analysis and automation. Knowledge of Javascript would be beneficial.Excellent communication and stakeholder management skills
• Proven ability to lead projects, prioritize workstreams, and connect business questions to data solutions
• Good working knowledge of SQL, HTTP APIs and SFTP servers. Knowledge of Cloud Warehouses such as S3, Snowflake or Redshift would be beneficial.Past experience understanding and evaluating LLM workflows, and including hallucination identification and reduction.
• Experience collaborating cross-functionally with product managers, engineers, and customer teams
• Bachelors Degree in Data Analytics or a related field
  
  

Preferred Qualifications

• Familiarity with analytics engineering tools
• Familiarity with NLP and semantic analysis tools
• Exposure to experimentation, modeling, or statistical analysis
• Experience working with SaaS, digital products, or AI/ML use cases
• Previous experience in a fast-paced, client-facing or startup environment
  
  

Total Rewards!

We want to make sure our employees feel valued and taken care of. Come join us and see for yourself!

• 20 Days PTO
• 13 Holidays
• Company provided equipment
• 401K with company match
• FSA/HSA options
• Paid Parental Leave & Reintegration Program
• Employee Wellness Program for personal, financial, emotional, & legal support to help keep our team happy, healthy, and thriving
• Medical, Dental, Vision Coverage
• 4 Week (1 Month) Sabbatical after five years
  
  

Still Not Sure?

We understand many candidates tend to only apply for jobs if they meet every single requirement listed. However, if you happen to be genuinely enthusiastic about this particular position and feel confident in your ability to excel at it, we strongly urge you to submit your application! You might just be the perfect fit for this role, or even another exciting opportunity within our company.



Remote Work!

Remote-first; We're thrilled to say that we've been passionate about remote work since day one! Being remote is simply who we are. At Quid, we're all about connecting with people from all corners of the globe. Our team is made up of individuals who are comfortable working remotely and collaborating with others across different time zones. We’re looking forward to future growth and expansion, however, certain legal restrictions dictate that we are only able to accept candidates who possess eligibility to work in the United States of America.



About Quid

Unlike legacy SaaS vendors, Quid combinesthe power of our data, AI, and people to deliver the outcomes our clients want. We don’t leave clients to flounder in complicated and expensive tools and hope they figure it out. We clarify what the win looks like and partner to deliver it.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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