3–5 years of experience in analytics, business intelligence, or data-driven roles., Strong proficiency in data visualization tools like Tableau, Looker, or Power BI., Working knowledge of Python for data analysis and automation, with SQL and HTTP APIs knowledge., Bachelor's Degree in Data Analytics or a related field..
Key responsibilities:
Own and deliver analytics workstreams for internal and client-facing projects.
Work closely with product and engineering teams to define and track key metrics.
Lead discovery conversations with stakeholders to scope analytics needs and frame data questions.
Analyze large datasets using statistical and predictive techniques, and present findings to various audiences.
Report This Job
Help us maintain the quality of our job listings. If you find any issues with this job post, please let us know.
Select the reason you're reporting this job:
Quid stands at the forefront of AI-driven consumer and market intelligence. Our generative AI provides organizations with an unparalleled, holistic insight into customer context. Beyond just capturing data, Quid enables organizations to see data through the lens of the future. By moving beyond data analysis, Quid predicts future trends, bridging data collection with predictive accuracy. Trusted by the world’s largest companies, including Ogilvy, T-Mobile, Lufthansa, and Walmart, Quid is the go-to partner for an in-depth understanding of customer and market dynamics. Explore our product suite at www.quid.com
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.
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.