Edtech.com's Summary

Lovevery is hiring a Senior Data Analyst. The role involves uncovering actionable insights and driving strategic decision-making by analyzing complex data beyond surface-level reporting. The analyst will automate routine reports, explore deeper business opportunities, and partner with various teams to inform and influence business outcomes.

Highlights

Lead high-impact analyses to clarify complex business problems and identify actionable opportunities.
Use SQL proficiently to manage large datasets and write efficient queries.
Develop and maintain dashboards utilizing tools like Looker, Tableau, or Omni to automate reporting.
Collaborate with stakeholders across product, engineering, marketing, operations, and leadership to support evidence-based decisions.
Leverage AI and automation to enhance data exploration, documentation, and presentation workflows.
Coach teams to improve data literacy through training and strategic support.
Require 5+ years of experience in data analysis or business intelligence with a track record of driving impact.
Experience with cloud data warehouses such as Databricks, Snowflake, BigQuery, or Redshift; familiarity with dbt encouraged.
Salary range from $150,000 to $175,000, along with competitive benefits, stock options, and parental leave.
Cater services primarily to parent customers aiming to provide early childhood development experiences.

Senior Data Analyst Full Description

Senior Data Analyst

United States - Remote (any location)
Full-Time
Job Openings
Senior Data Analyst
Apply To Position

About Lovevery

Lovevery is a fast-growing digitally native brand co-founded by successful serial entrepreneurs and based in Boise, Idaho. Our customers are parents, and our mission is to help them feel confident they are giving their children meaningful development experiences in the critical early years of life. Taking a science-based approach, Lovevery was named one of Fast Company's 10 most innovative companies of 2024 and has received awards from TIME, Red Dot, Good Housekeeping and Forbes.

About the role

We are seeking a Senior Data Analyst to play a pivotal role in uncovering actionable insights and shaping strategic decision-making across the business. This is a high-impact individual contributor role focused on critical thinking, business context, and the proactive identification of opportunities through data.

This is not a reporting analyst role. While you'll help ensure that core metrics are accurate and accessible, your primary focus will be pushing beyond the “what” into the “why” and “what next.” You’ll automate routine reporting where possible and use that foundation to explore deeper insights, find untapped opportunities, and help drive the business forward. From day one, you'll be empowered to lead analysis that helps us move faster, think deeper, and act smarter.

About you

Strategic Thinker: You love getting into the why behind the data. You're not satisfied with surface-level answers—you want to know what’s really going on and what we should do about it.
Opportunity Seeker: You don't wait for analysis requests—you generate them. You think like an owner and seek out ways data can improve our processes, performance, and customer experience.
Not a Reporting Analyst: You believe dashboards should work for you, not the other way around. You help automate baseline reporting so your time is spent on deeper analysis, not repetitive tasks.
Business Fluent: You understand the business and how to connect metrics to meaningful outcomes. You take the time to learn how teams work and tailor your analysis to drive action.
Clear Communicator: You can translate complex findings into clear, persuasive narratives for stakeholders at all levels. You’re skilled at storytelling with data.
Execution-Oriented: You move fast, iterate often, and deliver high-quality insights. You thrive in ambiguity and turn loosely defined problems into structured analysis. You are able to balance speed vs. accuracy and can provide recommendations on the most effective problem-solving approach.
AI-Forward Thinker: You actively explore ways to incorporate AI and automation into your workflows—whether for faster analysis, smarter insights, or better documentation.

Responsibilities

Deliver High-Impact Analysis: Identify and execute on analysis that directly impacts business outcomes. You’ll own complex, ambiguous problem areas and drive to clarity and action.
Drive Strategic Insights: Surface trends, risks, and opportunities through thoughtful investigation. Separate signal from noise and help teams focus on what matters.
Automate and Elevate: Build and maintain foundational dashboards and reporting tools that answer recurring questions at scale—so you can spend more time exploring what’s new and unexplored.
Influence Decision-Making: Partner closely with stakeholders across product, engineering, marketing, operations, and leadership to inform decisions with evidence and logic.
Prioritize Business Value: Push beyond the original request to get to the root of the question. Frame analyses to address the underlying business objective.
Enable Data Fluency: Help teams understand the data they’re working with. Offer training, documentation, and strategic support to improve data literacy.
Champion AI & Automation: Explore and implement AI-driven tools to accelerate your work, from documentation to data exploration to presentation.

Qualifications

5+ years of experience in data analysis, business intelligence, or analytics roles with a proven ability to drive insights that lead to action.
Highly proficient in SQL; comfortable working with large datasets and writing efficient, accurate queries.
Experience with data visualization tools such as Looker, Tableau, Omni, or similar, both for building dashboards and enabling self-serve use.
Demonstrated ability to frame complex problems, structure analysis, and communicate insights clearly to technical and non-technical stakeholders.
Strong critical thinking and business acumen; you’re able to connect data to broader strategic and operational contexts.
Experience working with cloud data warehouses preferably Databricks but others including Snowflake, BigQuery, Redshift are acceptable.
Familiarity with dbt in order to self-serve where necessary.
Experience in subscription or ecommerce business models is a plus.

The Benefits/Perks You’ll Enjoy

Competitive salary, benefits and stock option package
3 weeks PTO in year 1 +14 paid holidays
Generous parental leave
Any equipment you need to get the job done
Free/discounted Lovevery products
Remote working option available anywhere in the U.S.

Based on market data and other factors, the salary range for this position is $150,000 to $175,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Lovevery is proud to be an equal opportunity employer that values diversity in all forms. All employment decisions at Lovevery are based on business needs, job requirements, and individual qualifications, without regard to race, religion, national origin, sexual orientation, gender identity, HIV status, marital status, or any other status protected by the laws or regulations in the locations where we operate.

Original Job Description

Senior Data Analyst

United States - Remote (any location)
Full-Time
Job Openings
Senior Data Analyst
Apply To Position

About Lovevery

About the role

About you

Strategic Thinker: You love getting into the why behind the data. You're not satisfied with surface-level answers—you want to know what’s really going on and what we should do about it.
Opportunity Seeker: You don't wait for analysis requests—you generate them. You think like an owner and seek out ways data can improve our processes, performance, and customer experience.
Not a Reporting Analyst: You believe dashboards should work for you, not the other way around. You help automate baseline reporting so your time is spent on deeper analysis, not repetitive tasks.
Business Fluent: You understand the business and how to connect metrics to meaningful outcomes. You take the time to learn how teams work and tailor your analysis to drive action.
Clear Communicator: You can translate complex findings into clear, persuasive narratives for stakeholders at all levels. You’re skilled at storytelling with data.
Execution-Oriented: You move fast, iterate often, and deliver high-quality insights. You thrive in ambiguity and turn loosely defined problems into structured analysis. You are able to balance speed vs. accuracy and can provide recommendations on the most effective problem-solving approach.
AI-Forward Thinker: You actively explore ways to incorporate AI and automation into your workflows—whether for faster analysis, smarter insights, or better documentation.

Responsibilities

Deliver High-Impact Analysis: Identify and execute on analysis that directly impacts business outcomes. You’ll own complex, ambiguous problem areas and drive to clarity and action.
Drive Strategic Insights: Surface trends, risks, and opportunities through thoughtful investigation. Separate signal from noise and help teams focus on what matters.
Automate and Elevate: Build and maintain foundational dashboards and reporting tools that answer recurring questions at scale—so you can spend more time exploring what’s new and unexplored.
Influence Decision-Making: Partner closely with stakeholders across product, engineering, marketing, operations, and leadership to inform decisions with evidence and logic.
Prioritize Business Value: Push beyond the original request to get to the root of the question. Frame analyses to address the underlying business objective.
Enable Data Fluency: Help teams understand the data they’re working with. Offer training, documentation, and strategic support to improve data literacy.
Champion AI & Automation: Explore and implement AI-driven tools to accelerate your work, from documentation to data exploration to presentation.

Qualifications

5+ years of experience in data analysis, business intelligence, or analytics roles with a proven ability to drive insights that lead to action.
Highly proficient in SQL; comfortable working with large datasets and writing efficient, accurate queries.
Experience with data visualization tools such as Looker, Tableau, Omni, or similar, both for building dashboards and enabling self-serve use.
Demonstrated ability to frame complex problems, structure analysis, and communicate insights clearly to technical and non-technical stakeholders.
Strong critical thinking and business acumen; you’re able to connect data to broader strategic and operational contexts.
Experience working with cloud data warehouses preferably Databricks but others including Snowflake, BigQuery, Redshift are acceptable.
Familiarity with dbt in order to self-serve where necessary.
Experience in subscription or ecommerce business models is a plus.

The Benefits/Perks You’ll Enjoy

Competitive salary, benefits and stock option package
3 weeks PTO in year 1 +14 paid holidays
Generous parental leave
Any equipment you need to get the job done
Free/discounted Lovevery products
Remote working option available anywhere in the U.S.

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Senior Data Analyst

Edtech.com's Summary

Senior Data Analyst Full Description

Senior Data Analyst

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Senior Director, Enterprise Applications & Operations

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