Senior Data Analyst, Python, SQL, Bi, Remote (India)

Senior Data Analyst, Python, SQL, Bi, Remote (India)

13 Nov
|
PulsePoint
|
India

13 Nov

PulsePoint

India

I even have my own personal training budget that I'm encouraged to spend.'

'PulsePoint is growing, and we're looking for a Data Analyst to join our Data Analytics team!

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 most exciting part about working at PulsePoint is the enormous potential for personal and professional growth.

Data Analyst
Analysts take full ownership of complex data workflows and help drive innovation across PulsePoint's analytics products like Signal and Omnichannel. They build scalable solutions, automate manual processes, and troubleshoot issues across teams. By turning raw data into transparent, actionable insights, they support both internal stakeholders and external clients. Data Analysts on the Data Analytics team work closely with Product Managers, BI, Engineering, and Client Teams to deliver high-impact analysis, reporting, and feature enhancements that shape the future of our data and analytics platforms.

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.

This is a hybrid role at the intersection of data analysis, operational support, and technical platform ownership. Your work will directly contribute to the accuracy, scalability, and performance of our attribution and measurement solutions.
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

Minimum 5-7 years of relevant experience in:
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.)
we are fine with remote work
Python for automation or workflow logic




Basic experience with:
Designing data pipelines and optimizing them
Working on AI agents, automation tools, or workflow scripting
Dashboard design and data storytelling
ELT experience
Experience with automation
Project Management tools like JIRA or Confluence
Bonus if you've worked on R&D; or helped build data products from scratch

Comp structure: fixed (inclusive of PF, Gratuity, and a 25k INR medical premium) + a target annual bonus that is approximately 5% of the gross annual earnings. Time Off: 21 PTOs + 9 company-wide holidays + 1 flexible holiday
Health Insurance Policy (Self & Family): Every employee and their immediate family are covered under Health Insurance Policy worth INR. Term Life Insurance & Personal Accidental Insurance : Every employee is covered under Term Life Insurance and Personal Accident Insurance Policy worth INR. WebMD SQL Screening Test via CodeSignal (45 minutes)

- PulsePoint SQL Screening Test via CodeSignal (25 minutes)
- Screening Call & Behavioral Questions (45 minutes)
- SQL Live Coding Interview (45 minutes)
- 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.

Watch this video here to learn more about our culture and get a sense of what it's like to work at PulsePoint!

WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

📌 Senior Data Analyst, Python, SQL, Bi, Remote (India)
🏢 PulsePoint
📍 India

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