Senior Data Analyst- Business Intelligence
Offer summary
Qualifications:
4+ years of experience working with data, particularly with SQL., Strong understanding of Sales and Marketing motions, including lead funnel lifecycle., Demonstrated ability in building and maintaining dashboards, preferably using Tableau., Excellent communication skills to translate complex data findings for non-technical stakeholders..Key responsabilities:
- Develop dashboards and reporting frameworks for revenue-driving activities.
- Identify and flag data quality issues in CRM and related systems.
- Analyze campaign performance and funnel conversions to identify actionable opportunities.
- Support ROI and attribution modeling for marketing programs and sales initiatives.
Job description
About Us
We are seeking a highly skilled and strategic Senior Data Analyst- Business Intelligence to join our team and play a critical role in supporting sales and marketing initiatives. This cross-functional role will bridge data across the full funnel—from brand awareness to closed deals—helping us better understand customer behavior, optimize campaigns, and accelerate revenue.
If you live and breathe data, love turning numbers into narrative, and thrive in an environment where innovation and insight power decisions—this is your role.
You’ll be working at one of the most data-savvy companies in the industry, surrounded by others who are just as passionate about analytics and impact as you are. Here, your curiosity is rewarded, your skills are sharpened, and your ideas will shape real strategy. Expect unmatched opportunities to grow your expertise and push the boundaries of what's possible with data.
Key Responsibilities:
- Develop dashboards and reporting frameworks that provide visibility into revenue-driving activities across the GTM or Marketing organizations.
- Identify potential data quality issues in CRM and related systems through analysis, and proactively flag them to RevOps and data engineering teams for resolution
- Analyze campaign performance, funnel conversions, pipeline progression, and win/loss trends to identify actionable opportunities.
- Support ROI and attribution modeling for marketing programs and sales initiatives.
- Use historical data and predictive modeling to help guide future strategy decisions.
Requirements:
- Strong understanding of Sales and Marketing motions, including inbound vs. outbound strategies.
- 4+ years of experience working with data (SQL experience is a must!)
- Knowledge of the lead funnel lifecycle (e.g., Lead → MQL → SAL → SQL) and related metrics.
- Demonstrated ability in building and maintaining dashboards that communicate insights clearly and effectively (We currently use Tableau).
- Comfortable working with data independently—from retrieval and analysis to visualization.
- Excellent collaboration skills, with the ability to partner with stakeholders to support data-related needs.
- Strong communication skills with the ability to translate complex data findings into clear, actionable insights for non-technical stakeholders
- Hands on experience with dbt is a strong plus!
#LI-Remote
Benefits at dbt Labs
- Unlimited vacation time with a culture that actively encourages time off
- 401k plan with 3% guaranteed company contribution
- Comprehensive healthcare coverage
- Generous paid parental leave
- Health & wellness stipend
- Flexible stipends for:
- Home office setup
- Learning and development
- Office space
- And more!
Compensation
We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.
Who we are
At dbt Labs, we have developed strong opinions on how companies should practice analytics.
Specifically, we believe that:
- Code-based transformations offer unmatched flexibility and transparency across various “multi-player” development to power everyone in the organization to collaborate on a common language
- Data analysts should adopt similar practices and tools to software developers
- Critical analytics infrastructure should be controlled by its users as open source software
- Analytic code itself — not just analytics tools — will increasingly be open source
It turns out that a lot of other people believe this too! Today, there are 50,000 teams using dbt every week, 100,000 dbt Community members, and 5,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter.
dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns. If you are on the fence about whether you meet our requirements, we encourage you to apply anyway! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.
Required profile
Experience
Other Skills
- Collaboration
- Communication
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