Blueprint

33 Blueprint Data Analyst Jobs Hiring Near You

Blueprint is methodically built on science. Bryan freely shares his protocol, learnings and data ... We are looking for a BI Analyst to oversee day-to-day visualizations, data validation, and ...

Blueprint is methodically built on science. Bryan freely shares his protocol, learnings and data ... We are looking for a BI Analyst to oversee day-to-day visualizations, data validation, and ...

Blueprint is methodically built on science. Bryan freely shares his protocol, learnings and data ... Drive customer research, segmentation, and competitive analysis to inform positioning and R&D ...

Blueprint is methodically built on science. Bryan freely shares his protocol, learnings and data ... We're looking for a highly analytical, results-driven Paid Search Manager to own and scale our paid ...

Blueprint is methodically built on science. Bryan freely shares his protocol, learnings and data ... Track and analyze podcast performance - downloads, retention, audience growth, and platform ...

Blueprint is methodically built on science. Bryan freely shares his protocol, learnings and data ... We're looking for a highly analytical, results-driven Paid Search Manager to own and scale our paid ...

Blueprint is methodically built on science. Bryan freely shares his protocol, learnings, and data ... Monitor and analyze logistics KPIs, such as delivery times, freight costs, and inventory turnover ...

Blueprint is methodically built on science. Bryan freely shares his protocol, learnings and data ... Setting priorities, unblocking, and supporting the analysis of your team's work. * Measurement.

Solutions Architect

San Francisco, CA · Remote

$74.25 - $97.75/hr

Guide customers on PSA best practices: utilization tracking, revenue recognition, project margin analysis, capacity planning Data Migration & Transition Planning * Design data migration strategies ...

Solutions Architect

San Francisco, CA · Remote

$74.25 - $97.75/hr

Guide customers on PSA best practices: utilization tracking, revenue recognition, project margin analysis, capacity planning Data Migration & Transition Planning * Design data migration strategies ...

Solutions Architect

San Francisco, CA · Remote

$74.25 - $97.75/hr

Guide customers on PSA best practices: utilization tracking, revenue recognition, project margin analysis, capacity planning Data Migration & Transition Planning * Design data migration strategies ...

Solutions Architect

San Francisco, CA · Remote

$74.25 - $97.75/hr

Guide customers on PSA best practices: utilization tracking, revenue recognition, project margin analysis, capacity planning Data Migration & Transition Planning * Design data migration strategies ...

Track, report, and analyze campaign analytics and engagement data to guide * strategic decisions. * Present performance results on how programs are delivering/impacting MQLs, * SQLs, and Pipeline to ...

... Analysis * Develop and deliver accurate and timely technical sales proposals which employ M3 brand standards for services presentation * Responsible for inputting and ensuring accurate data within CR ...

... Analysis * Develop and deliver accurate and timely technical sales proposals which employ M3 brand standards for services presentation * Responsible for inputting and ensuring accurate data within CR ...

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Showing results 1-20

Blueprint Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are the most popular categories at Blueprint?
Infographic showing various Data Analyst job openings at Blueprint in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 41% Physical, 7% Hybrid, and 52% Remote job distribution.

$90/hr

Full-time

Posted 22 days ago


Job description

Death is our only foe.
Blueprint was founded by Bryan Johnson, who has the world's best comprehensive biomarkers. He is quantitatively the healthiest person on the planet.
Blueprint is methodically built on science. Bryan freely shares his protocol, learnings and data with everyone to use. Blueprint has also developed a family of nutritional products to make the benefits of the Blueprint protocol affordable and available to all.
We're a small, tight-knit team working to clean up the global food supply, provide healthy food to everyone, and build Don't Die into the most influential ideology in the world. We move quickly, work efficiently, and enjoy an environment defined by competence.
We are looking for a BI Analyst to oversee day-to-day visualizations, data validation, and stakeholder reporting. This person ensures leadership has fast, accurate insights from our data warehouse without bottlenecks.
Requirements
Position Responsibilities:
  • Build and maintain product analytics dashboards and reporting across key user journeys (onboarding, activation, conversion, retention)
  • Analyze event-level data to understand user behavior across Biomarkers and RX product lines
  • Define, QA, and monitor event tracking in partnership with engineering (via tools like Mixpanel / Amplitude)
  • Translate raw event data into clean, analytics-ready datasets in Snowflake
  • Build and maintain product funnels, cohort analyses, and retention reporting
  • Identify drop-offs, friction points, and opportunities across the user lifecycle
  • Surface actionable insights on product performance, engagement, and conversion drivers
  • Work directly with Product, Growth, and Data teams to align on metrics definitions and tracking standards
  • Support A/B testing and product experimentation by measuring feature impact
  • Build clean, self-service dashboards (in Sigma or similar tools like Tableau, Looker, Power BI)
  • Document event definitions, data sources, and logic to ensure consistency as data models evolve

Basic Qualifications:
  • 3-5 years hands-on SQL experience working with large, event-level datasets
  • Strong experience with product analytics tools such as Mixpanel and/or Amplitude
  • Experience analyzing product funnels, user cohorts, and retention metrics
  • Comfortable working with event schemas (event names, user properties, timestamps, sessionization)
  • Experience with Snowflake, BigQuery, or similar cloud data warehouse
    Capable of validating event data across tools (e.g., product analytics platform vs warehouse)
  • Strong understanding of product KPIs (conversion rates, retention, engagement, churn)
  • Experience building dashboards in Sigma or similar BI tools
  • Strong attention to detail in data quality, tracking accuracy, and metric definitions

Preferred Skills:
  • Experience with Segment or similar CDP for event tracking pipelines
  • Familiarity with dbt (not required to build models; just to read/test)
  • Experience working with subscription products or health-tech data (e.g., testing platforms, prescription flows)
  • Understanding of experimentation frameworks and A/B testing methodologies
  • Basic familiarity with GitHub or version control for analytics workflows

Benefits
Salary Range: $90-130k + equity + benefits