Tunnl · 1 day ago
Research Analyst
Washington, DC
Full-time
Hybrid
New Grad, Entry Level
0+ years expTunnl is building a future where artificial intelligence enables organizations to connect meaningfully with the people who matter most. The Research Analyst will support the execution of Tunnl’s research projects through audience building, data validation, quality control, and reporting, working closely with various teams to ensure accurate and timely delivery of research outputs.
Artificial Intelligence (AI)Information ServicesInformation Technology
Responsibilities
Audience Building
Data Structuring & Standardization
Optimize the searchability and segmentation of professional audiences within Tunnl’s internal tooling
Document and maintain a structured data framework to ensure long-term usability and scalability
Data Querying & Reporting
Support internal teams with audience segmentation and custom data requests leveraging Python and SQL
Develop automated reports to monitor data integrity, match rates, and audience performance
Assist with data validation processes to ensure high-quality outputs for clients
Quality Control & Data Validation
Manage hand-matching workflows that ensure high-profile matches are correct
Conduct first-pass QC on survey instruments, fielding logic, and audience assignments
Validate data files, ensuring accurate application of weights, quotas, and filtering
Identify inconsistencies or data issues and propose fixes before manager review
Data Import/Export & ETL Support
Support importing/exporting data from internal systems and external platforms (e.g., LiveRamp, Qualtrics, Dropbox)
Assist with audience file formatting, ID matching, and record tagging
Conduct QA on incoming and outgoing datasets, including row-level spot checks and file integrity reviews
Partner with senior team members to troubleshoot ETL issues and improve import/export processes
Process Documentation & Continuous Improvement
Follow SOPs for QC, audience tagging, survey builds, and delivery
Document recurring issues and suggest improvements to workflow
Maintain internal Dropbox folders and tracking tools to support delivery consistency
Qualification
Required
0–3 years of experience in data analysis, data engineering, database management, survey research, market research, analytics, or equivalent (internships or academic experience considered)
Working knowledge of SQL with the ability to write queries to explore, validate, and QA data (complex optimization skills can be developed over time)
Proficiency with Python for data manipulation and automation
Strong attention to detail and communication skills with demonstrated ability to catch and resolve errors
Proactive team player that wants to join a high performing team and is curious about research
Experience working with large datasets and entity resolution techniques
Ability to structure unorganized data into a usable, scalable taxonomy
Preferred
Experience with AWS services, particularly S3 for data storage and retrieval
Familiarity with Databricks and Spark for large-scale data processing
Experience with version control tools such as Git/GitHub for collaboration and code management
Familiarity with APIs and json data structures
Experience in public affairs, brand insights, political campaigns, or market research
Strong written communication skills for summaries and client-facing outputs
Experience with Dropbox, Hubspot, or ticketing/project tracking systems
Benefits
Eligible for the Company Bonus Plan (targeting 15% of Base Salary).
Comprehensive benefits with excellent medical, vision, and dental coverage.
Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
Employer-paid life insurance, with voluntary additional coverage available.
Voluntary short- and long-term disability, accident, and critical illness insurance.
Flexible hybrid work policy.
Flexible unlimited paid vacation plus 80 hours of paid sick leave.
10 paid company holidays per year plus the week between Christmas and New Year’s off.
401(k) plan with 100% match up to 3%, plus 50% match up to 5% (subject to IRS limits).
Cell phone reimbursement stipend.
Monthly parking or commuter stipend for VA-based employees.
Company
Tunnl
Tunnl is a data intelligence firm providing a platform that offers data for TV advertising.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$2.6M2023-01-30Series Unknown· $2.6M
Leadership Team
Sara Fagen
CEO, Tunnl
Alex Lundry
Co-Founder
Recent News
Company data provided by crunchbase