Job Description
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower
you to do the best work of your life. You’ll be surrounded by teammates who care
deeply, challenge each other, and celebrate wins. With tools that amplify your
impact and a culture that backs your ambition, you won’t just contribute. You’ll
make things happen–fast.
ABOUT THE ROLE
ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our
company data pipeline—the system that ingests, processes, and profiles millions
of company records that power our customers' go-to-market strategies.
In this role, you'll build deep expertise in how our company data flows from
acquisition through profiling and output. You'll read code to understand data
transformations and system dependencies, bring informed opinions to design
conversations with Engineering and Product, and help shape the evolution of our
next-generation data infrastructure. As you build mastery of our systems, you'll
increasingly lead strategic data improvement initiatives that require both
systems thinking and creative problem-solving.
This isn't about building dashboards or SQL reports. This is about understanding
data systems at an architectural level, solving ambiguous data challenges, and
ensuring our pipeline infrastructure continuously evolves to meet customer needs
and maintain competitive advantage.
You'll work closely with other data analysts during an active infrastructure
transition period, and as systems stabilize and your expertise deepens, you'll
progressively own more of the pipeline architecture and strategic initiatives.
This is a role with significant growth runway for someone who wants to become
the go-to technical expert on company data systems.
WHO YOU ARE
Systems Thinker with Technical Depth: You understand how data systems work, not
just what they produce. You've worked with data pipelines, ETL systems, or data
processing infrastructure—maybe you've improved one, debugged one, or owned
components of one. You can read code (Python, Java, SQL, or similar) well enough
to understand data transformations and trace how data flows through systems.
Opinionated Technical Contributor: You don't just execute—you have informed
opinions on how things should work. You can assess technical tradeoffs, evaluate
whether a proposed solution is feasible, and contribute meaningfully to design
conversations with engineers. You're comfortable saying "here's what I think and
why" based on your technical understanding.
Growth-Oriented Problem Solver: You're excited to build deep expertise in a
complex domain and grow into leading strategic initiatives. You've tackled
ambiguous problems that required figuring things out as you went, and you want
to expand your project leadership capabilities in a systems-focused environment.
Analytical and Hands-On: You're equally comfortable writing code to analyze data
patterns and manually investigating edge cases to understand what's really
happening. You dig into details when needed and know when to zoom out to see the
bigger picture.
Clear Communicator: You can explain technical complexity to non-technical
audiences. You've worked effectively with Engineering, Product, or
cross-functional teams, translating between technical constraints and business
needs.
Comfortable with Ambiguity: You thrive in evolving environments where priorities
shift and problems aren't always well-defined. You maintain momentum and quality
even when the path forward isn't perfectly clear.
WHAT YOU'LL DO
In your first 6-12 months, your primary focus will be building deep expertise in
our pipeline architecture and contributing to our infrastructure transition.
You'll work alongside other analysts who have context on our systems, learning
the architecture while bringing fresh perspectives and technical depth. As you
gain mastery and systems stabilize, you'll increasingly own pipeline
architecture decisions and lead strategic data improvement initiatives.
BUILD DEEP PIPELINE & SYSTEMS EXPERTISE
* Master our company data pipeline architecture—how data flows from ingestion
through profiling, what transforms are applied at each stage, and how
components interconnect
* Read and analyze production code to understand data transformations, trace
data lineage, and assess how proposed changes would impact the system
* Develop frameworks for evaluating tradeoffs between technical complexity,
implementation effort, and customer impact
* Create clear documentation, system maps, and knowledge resources that capture
architecture decisions, dependencies, and design rationale
CONTRIBUTE TO PIPELINE EVOLUTION & INFRASTRUCTURE IMPROVEMENTS
* Participate actively in design conversations with Engineering and Product
about our next-generation pipeline, bringing data quality insights, technical
feasibility assessments, and informed opinions on architectural decisions
* Help validate pipeline improvements through rigorous testing, impact
analysis, and hands-on verification of data quality
* Translate data quality investigations and emerging requirements into
system-level improvement opportunities
* Collaborate with team members to determine when problems should be solved at
the pipeline/profiler level versus through downstream approaches
SOLVE COMPLEX, AMBIGUOUS DATA CHALLENGES
* Lead or contribute to data improvement initiatives that require both systems
thinking and creative problem-solving—such as improving location verification
across international markets, integrating new data sources, or solving novel
data extraction challenges
* Tackle problems where the solution isn't obvious through a blend of code
analysis, manual investigation, cross-functional coordination, and iterative
problem-solving
* Build and apply repeatable approaches to testing, validation, and root cause
analysis
BUILD PARTNERSHIPS & INSTITUTIONAL KNOWLEDGE
* Develop strong working relationships with Data Acquisition, Product,
Engineering, and fellow data analysts
* Conduct impact analyses and validation studies to ensure proposed changes
deliver intended outcomes
* Document your learning, approaches, and insights so knowledge is shared and
institutional memory builds across the team
* Serve as a technical resource as you develop expertise, helping bridge
immediate data quality needs with long-term pipeline capabilities
WHAT YOU'LL BRING
REQUIRED
* Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics,
or related quantitative field
* 5+ years of experience in data analytics, data engineering, or related
technical roles
* Experience working with data pipelines, ETL systems, or data processing
infrastructure—you understand how data moves through systems and what can go
wrong
* Ability to read and understand code (Python, Java, SQL, or similar) to
analyze data transformations, understand system logic, and assess technical
feasibility
* Strong programming skills in Python and SQL for data analysis and
manipulation
* Experience solving ambiguous, multi-faceted data problems that required
figuring out the approach, not just executing a well-defined analysis
* Demonstrated ability to work effectively with Engineering and/or Product
teams, translating between technical implementation and business/customer
needs
* Strong analytical skills with ability to investigate complex issues
systematically
* Excellent communication skills—able to explain technical concepts clearly to
diverse audiences
* Self-directed with strong ownership mentality—you drive your work forward and
know when to seek input
STRONGLY PREFERRED
* Experience with company data, business data, web data acquisition, or data
quality initiatives
* Experience with data profiling, entity resolution, record linkage, or data
matching systems
* Background contributing to system design discussions or technical
architecture decisions
- Experience creating technical documentation or knowledge-sharing resources
- Knowledge of web data structures (HTML/DOM), data extraction, or data
collection systems
- Experience designing validation strategies or testing frameworks
- Track record of leading or co-leading cross-functional data projects
THIS ROLE IS NOT A FIT IF:
You're looking to focus primarily on business analytics, building dashboards,
creating reports, or analyzing business metrics. While you'll do analysis in
this role, the core mission is understanding and improving data systems
architecture.
THIS ROLE IS A STRONG FIT IF:
You want to become the expert on how data systems work and grow into leading
strategic initiatives. You're excited to build deep technical expertise,
contribute informed opinions to design decisions, and progressively take on more
ownership as you master the domain. You enjoy solving problems where the answer
isn't obvious and seeing your work directly improve product capabilities.
#LI-JH1
#LI-Hybrid
Actual compensation offered will be based on factors such as the candidate’s
work location, qualifications, skills, experience and/or training. Your
recruiter can share more information about the specific salary range for your
desired work location during the hiring process. We want our employees and their
families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle
programs designed for overall well-being. Learn more about ZoomInfo benefits
here [
Below is the US base salary for this position. Additional compensation such as
Bonus, Commission, Equity and other benefits may also apply.
$102,200—$160,600 USD
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers
businesses to grow faster with AI-ready insights, trusted data, and advanced
automation. Its solutions provide more than 35,000 companies worldwide with a
complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with
us. Please review our Job Applicant Privacy Notice
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for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process.
More information about this tool, including the results of the most recent bias
audit, is available here
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ZoomInfo is proud to be an equal opportunity employer, hiring based on
qualifications, merit, and business needs, and does not discriminate based on
protected status. We welcome all applicants and are committed to providing equal
employment opportunities regardless of sex, race, age, color, national origin,
sexual orientation, gender identity, marital status, disability status,
religion, protected military or veteran status, medical condition, or any other
characteristic protected by applicable law. We also consider qualified
candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or
administer a lie detector test as a condition of employment or continued
employment. An employer who violates this law shall be subject to criminal
penalties and civil liability. ZoomInfo does not administer lie detector tests
to applicants in any location.
Job Tags
Immediate start, Worldwide, Shift work