We are building a medallion (bronze/silver/gold) data architecture on Databricks with Domo as the BI/analytics layer. This role owns the analytics partnership across three stakeholder groups whose priorities regularly conflict — Finance (financial reporting, GL-tied metrics), Clinical (coverage, call routing, stroke workflow performance), and Operations (throughput, scheduling, staffing). The Lead is accountable for triaging and sequencing competing requests, not just executing whichever ticket lands first.

WHAT YOU’LL OWN

• Serve as the primary analytics point of contact for Finance, Clinical, and Operations — running requirements conversations directly with US stakeholders, not through a proxy.

• Arbitrate conflicting priorities across the three groups and escalate genuine ties to the CTO with a recommendation, not just a status update.

• Build and maintain analytics-ready gold-layer views and reporting models in collaboration with the Data Engineering team, using curated data from the Databricks medallion architecture to power Domo dashboards.

• Own data quality and definitional consistency across domains (e.g., a “coverage” metric means the same thing whether Clinical or Ops is asking).

• Mentor/review the work of other analysts contributing to the same pipelines.

• Document metric definitions, data lineage, and known limitations (e.g., where source data constrains what a metric can actually measure).

WHAT YOU NEED

• 5+ years in data analytics or analytics engineering, including experience prioritizing across multiple stakeholder groups with competing timelines.

• Hands-on experience with Databricks (or equivalent lakehouse platform) and building/maintaining medallion-style data models.





• Experience with Domo or a comparable BI tool (Looker, Tableau, Power BI) at a level where you’re building semantic layers, not just charts.

• Solid SQL; familiarity with Python or PySpark for data manipulation or analytics automation is a plus.

• Demonstrated ability to push back on stakeholders — asking clarifying questions, challenging vague requirements, saying no when priorities don’t line up.

• Excellent written and verbal English communication; you will run live discussions with US stakeholders, not just exchange async tickets.

• Comfortable with a work schedule that regularly extends into the evening IST to overlap with US Eastern morning hours (roughly 9:30am–12:30pm ET / 7–10pm IST) — this is a recurring requirement, not an occasional one, during active project cycles.

• Healthcare/HIPAA-adjacent data experience is a plus given the Clinical stakeholder group.
WHAT “GOOD” LOOKS LIKE IN THE FIRST 90 DAYS

• Has met 1:1 with the Finance, Clinical, and Ops stakeholder leads and can articulate each group’s top 3 unmet needs in their own language.

• Has proposed (not just accepted) a prioritization framework for adjudicating cross-group conflicts, reviewed with the CTO.

• Has identified at least one data quality or definitional gap in the current model and proposed a fix.
• Translate business reporting requirements into effective dashboards, KPIs, and analytical views, partnering with Data Engineers on upstream data availability and quality.

Cooperation terms

- B2B cooperation under a Consulting Agreement
- 12 days of Paid Time Off per year
- 5 days of Medical Time Off per year
- 3 paid holidays per year
- Psychologist Consultations for mental well-being
- Professional Development Budget — courses and conferences
- English lessons

📌 425 Lead Data Analyst (India)
🏢 ScrumLaunch
📍 India