As a Data Analyst at PulsePoint, your daily work will directly impact both internal product strategies and external client success. You will sit at the center of data flow, ensuring that campaign metrics are accurately captured, analyzed, and leveraged.

Your primary responsibilities will include:

• Querying and analyzing massive transactional datasets to monitor programmatic campaign health, delivery, and performance.
• Building, maintaining, and optimizing client-facing dashboards and internal reporting tools to visualize key performance indicators (KPIs).
• Partnering with Client Services and Account Management to join client meetings, present analytical findings, and provide data-driven recommendations for campaign optimization.
• Collaborating with Data Engineering and Product teams to identify data quality issues, refine data pipelines, and suggest new product features based on analytical trends.
• Conducting ad-hoc deep dives to investigate campaign anomalies, audience delivery discrepancies, and inventory quality issues.

To be competitive for this position, you must demonstrate a strong technical foundation paired with excellent interpersonal skills.

Technical Qualifications

• Must-have skills: Highly proficient in SQL (writing complex queries, window functions, optimization) and experienced with data visualization tools like Tableau, Looker, or PowerBI.
• Nice-to-have skills: Familiarity with programming languages like Python or R for data manipulation, and experience working with cloud data warehouses such as Snowflake or BigQuery.

Experience & Domain Knowledge

• Must-have experience: Prior experience in a data analytics role, ideally within a fast-paced environment handling large datasets.
• Nice-to-have experience: Background in adtech (programmatic advertising, DSPs, SSPs, RTB) or the healthcare/pharmaceutical industry, including knowledge of healthcare compliance and data privacy regulations.

Soft Skills

• Exceptional verbal and written communication skills, with a proven ability to present data insights to non-technical audiences.
• Strong organizational skills and the ability to manage multiple analytical projects simultaneously under tight deadlines.

Q: How difficult is the technical SQL screen? A: The initial SQL round is generally described as straightforward and highly fair. It typically consists of a few practical questions to test your core querying mechanics, such as joins, aggregations, and basic filtering. Preparing with standard medium-level SQL challenges will set you up for success.

Q: What is the culture like on the analytics team? A: The team is highly collaborative, supportive, and communicative. While the work is fast-paced due to the real-time nature of adtech, team members emphasize a culture of mutual respect, open discussion, and continuous learning.

Q: How fast does the interview process move? A: Thanks to a highly dedicated recruiting team, the process is incredibly swift. If you have competing offers or tight timelines, the recruiting team is known to accelerate scheduling and feedback collection to ensure you are not left waiting.

Q: Is there a case study presentation required? A: Rather than a formal, take-home presentation, the case study portion is typically conducted live during the team rounds. You will discuss hypothetical business scenarios and walk the interviewers through your structured analytical approach.

• Highlight your communication skills early: Do not wait for the behavioral round to showcase your presentation abilities. Treat every technical and case-study explanation as an opportunity to demonstrate how clearly and concisely you can articulate complex ideas.

• Brush up on adtech basics: If you do not have a background in digital advertising, spend some time learning the fundamentals of programmatic bidding, real-time bidding (RTB) auctions, and standard metrics like CTR, CPM, and CPA. Showing this initiative will set you apart.

• Be prepared for a two-way conversation: PulsePoint interviewers appreciate candidates who ask thoughtful questions. Prepare questions about their tech stack, how they handle data quality at scale, and how the analytics team collaborates with product developers.

The Data Analyst role at PulsePoint offers an exciting opportunity to build a career at the cutting edge of healthcare and adtech. By taking ownership of massive datasets and translating them into strategic business insights, you will play a vital role in helping healthcare brands connect with their audiences in meaningful, compliant, and impactful ways.

To maximize your chances of success, focus your preparation on mastering SQL fundamentals, structuring your approach to analytical case studies, and practicing how you communicate technical insights to business stakeholders. With a transparent and supportive recruiting process guiding you, thorough preparation will allow you to showcase your true potential.

The salary insights module displays the typical compensation ranges for analytical roles at this level. When reviewing this data, keep in mind that total compensation at PulsePoint may include base salary, performance-based bonuses, and a comprehensive benefits package tailored to your location and experience level.

If you are ready to take the next step in your career, use this guide as your roadmap, stay proactive in your communication with your recruiter, and explore additional community insights and resources on Dataford to ensure you are fully prepared to ace your interviews.