About the Role
Data Analyst in the Data Analytics team who takes ownership of complex data workflows, drives innovation across analytics products like Signal and Omnichannel, builds scalable solutions, automates manual processes, troubleshoots issues, and turns raw data into actionable insights for internal stakeholders and external clients.
Responsibilities
- Take ownership of key workflows like HCP365 and Omnichannel
- Support Omnichannel at an enterprise level across the whole organization
- Build and improve Big Query SQL-based pipelines and Airflow DAGs
- Conduct R&D and contribute towards roadmap planning for new features in product
- Support client teams with data deep dives, troubleshooting, and ad hoc analysis
- Translate complex data into simple, client-facing insights and dashboards
- Dig into data to answer and resolve client questions
Requirements
- Minimum 3-5 years of relevant experience in understanding deterministic and probabilistic attribution methodologies
- Proficiency in analyzing multi-device campaign performance and user behavior
- Excellent problem-solving and data analysis skills
- Ability to organize large data sets to answer critical questions, extrapolate trends, and tell a story
- Writing and debugging complex SQL queries from scratch using real business data
- Strong understanding of data workflows, joins, deduplication, attribution, and QA
- Working with Airflow workflows, ETL pipelines, or scheduling tools
- Proficient in Excel (pivot tables, VLOOKUP, formulas, functions)
- Understanding of web analytics platforms (Google Analytics, Adobe Analytics, etc.)
- Experience with at least one BI Software (Tableau, Looker, etc.)
- Able to work 9am-6pm EST (6:30pm-3:30am IST)
Nice to Have
- Python for automation or workflow logic
- Basic experience with designing data pipelines and optimizing them
- Basic experience with working on AI agents, automation tools, or workflow scripting
- Basic experience with dashboard design and data storytelling
- And one of: ELT experience, Experience with automation, Statistics background
- Exposure to health related datasets, hashed identifiers
- Exposure to workflow optimization or code refactoring
- Project Management tools like JIRA or Confluence
- Bonus if you've worked on R&D or helped build data products from scratch
Team
Structure: Data Analysts work closely with Product Managers, BI, Engineering, and Client Teams
A BIT ABOUT US
PulsePoint is a fast-growing healthcare technology company (with adtech roots) using real-time data to transform healthcare. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. Our award-winning advertising platforms use machine learning and programmatic automation to seamlessly activate this data, making marketing, predictive analytics, and decision support easy and instantaneous.
THE PRODUCT YOU’LL BE WORKING ON
You'll be working on HCP365, the core technology of PulsePoint’s analytics products - Signal, and Omnichannel. HCP365 (the first Signal product) is an AWARD-WINNING product having won a Martech Breakthrough Award and a finalist for the PM360 Trailblazer Award. It's the only health analytics and measurement solution that provides a complete, always-on view of HCP audience engagement across all digital channels with advanced data logic, automation, and integrations. This gives marketers and researchers unprecedented access to data insights and reporting used to inform and optimize investment decisions. You'll be helping scale the platform further with new features, cleaner attribution, and smarter automation to support client growth and product expansion.
WHAT WE'RE LOOKING FOR
We're looking for a hands-on, reliable, and proactive Analyst who can: Jump into complex workflows and own them end-to-end, Troubleshoot issues and bring clarity in ambiguous situations, Balance between deep technical work and cross-team collaboration, Build scalable, automated, and accurate solutions
SELECTION PROCESS
Initial Phone Screen, SQL Screening Test via CodeSignal (35 minutes), SQL Live Coding Interview (60 minutes), Hiring Manager Interview (30 minutes), Team Interview (1:1s with Sr. Client Analyst, Team Manager, SVP of Data, Product Manager who built Signal) (3 x 45 minutes)
RED FLAGS FOR US
Candidates won’t succeed here if they haven’t worked closely with data sets or have simply translated requirements created by others into SQL without a deeper understanding of how the data impacts our business and, in turn, our clients’ success metrics.
