Cohere Health is Hiring Associate Data Operations Analyst | Hyderabad | Freshers

Job Description

There's a title-scope mismatch worth flagging upfront on this one: it's called "Associate Data Operations Analyst," but the listing explicitly states 𝐭𝐡𝐢𝐬 𝐢𝐬 𝐚 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐦𝐚𝐧𝐚𝐠𝐞𝐫 𝐫𝐨𝐥𝐞 𝐭𝐡𝐚𝐭 𝐫𝐞𝐪𝐮𝐢𝐫𝐞𝐬 𝐭𝐡𝐞 𝐦𝐚𝐧𝐚𝐠𝐞𝐫 𝐭𝐨 𝐞𝐧𝐠𝐚𝐠𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐰𝐨𝐫𝐤 𝐨𝐟 𝐭𝐡𝐞 𝐭𝐞𝐚𝐦 𝐛𝐞𝐢𝐧𝐠 𝐦𝐚𝐧𝐚𝐠𝐞𝐝 — meaning despite the "Associate" and "Analyst" framing, this position may involve people-management responsibilities, which is genuinely unusual for an entry-level title. Before applying, it's worth clarifying directly with the recruiter whether this specific opening is the individual-contributor version or the managerial version, since the posting appears to blend language from both.

Cohere Health operates in 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐝𝐚𝐭𝐚 𝐚𝐧𝐝 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐀𝐈 — specifically supporting health insurance payment integrity and prior authorization workflows — which means this role involves genuinely sensitive, regulated data. This is reflected directly in the requirements: 𝐇𝐈𝐏𝐀𝐀 𝐚𝐧𝐝 𝐏𝐇𝐈 (Protected Health Information) compliance is called out as a strict requirement, not a nice-to-have, which is a meaningfully different responsibility profile than a typical data operations role at a non-healthcare company. If you're unfamiliar with healthcare data regulations, expect a real learning curve here specifically around compliance procedures, separate from the technical data skills.

The role's actual technical center is 𝐝𝐚𝐭𝐚 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐩𝐫𝐞𝐩𝐚𝐫𝐚𝐭𝐢𝐨𝐧 𝐬𝐮𝐩𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐭𝐞𝐚𝐦𝐬, rather than being a pure data entry or reporting function — you'd be preparing and validating data that feeds into model development, which requires genuine SQL and Python fluency rather than just spreadsheet skills. For most candidates, the realistic gap to close is less about SQL itself (commonly taught) and more about 𝐝𝐚𝐭𝐚 𝐪𝐮𝐚𝐥𝐢𝐭𝐲/𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐝𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐞 𝐢𝐧 𝐚 𝐫𝐞𝐠𝐮𝐥𝐚𝐭𝐞𝐝 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐜𝐨𝐧𝐭𝐞𝐱𝐭 — understanding why a discrepancy matters isn't just a technical question here, it can have compliance implications.

𝐎𝐮𝐫 𝐓𝐚𝐤𝐞:

- 𝐆𝐨𝐨𝐝 𝐟𝐨𝐫: candidates with strong SQL and basic Python (Pandas) skills who want healthcare-domain data experience, and who are comfortable with rotational/flexible shift work

- 𝐍𝐨𝐭 𝐢𝐝𝐞𝐚𝐥 𝐟𝐨𝐫: those seeking a purely 9-to-5 fixed schedule — the listing explicitly requires flexibility across rotational or client-aligned shifts

- 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐝𝐢𝐟𝐟𝐢𝐜𝐮𝐥𝐭𝐲: moderate — the technical bar (SQL + basic Python) is achievable for many CS/data-focused freshers, but the multi-stage interview process (5 rounds including a case study and senior leadership interview) suggests a fairly rigorous vetting process for what's titled an entry-level role

- 𝐂𝐚𝐫𝐞𝐞𝐫 𝐭𝐫𝐚𝐣𝐞𝐜𝐭𝐨𝐫𝐲: can lead into Data Operations Lead, Data Quality Analyst, or Healthcare Data Analyst roles, with genuine HIPAA/healthcare compliance experience being a valuable, specific credential for future healthtech roles

𝐂𝐨𝐦𝐩𝐞𝐧𝐬𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐞𝐱𝐭: Cohere Health hasn't disclosed pay for this role. Data operations/analyst roles at healthtech companies in Hyderabad typically range around ₹4–6.5 LPA for candidates with strong SQL/Python skills, based on general market data for comparable data operations roles — this is an estimate only, and the apparent managerial component mentioned in the posting could meaningfully shift compensation if that aspect applies to this specific opening.

𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: Given the listing's five-stage interview process including a case study, prepare specifically for scenario-based questions about handling data discrepancies or compliance-sensitive situations — not just technical SQL/Python questions; and since the role explicitly touches HIPAA/PHI handling, even briefly researching basic healthcare data privacy concepts beforehand would help you speak knowledgeably in the behavioral interview rounds, since this isn't assumed baseline knowledge for most non-healthcare CS graduates.

Roles & Responsibilities

The responsibilities cluster around three areas: operational consistency (SOPs, SLAs, quality protocols), data science support (preparing and validating data for model development), and compliance (HIPAA/PHI adherence, information security practices) — reflecting the regulated healthcare context this role operates within.

- 𝐄𝐱𝐞𝐜𝐮𝐭𝐞 𝐒𝐎𝐏𝐬, 𝐜𝐡𝐞𝐜𝐤𝐥𝐢𝐬𝐭𝐬, 𝐚𝐧𝐝 𝐐𝐀 𝐩𝐫𝐨𝐭𝐨𝐜𝐨𝐥𝐬 to maintain operational consistency

- 𝐀𝐝𝐡𝐞𝐫𝐞 𝐭𝐨 𝐒𝐋𝐀𝐬 for turnaround time, data quality, and compliance standards

- 𝐏𝐫𝐞𝐩𝐚𝐫𝐞 𝐚𝐧𝐝 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐞 𝐝𝐚𝐭𝐚 supporting data scientists' model development and deployment

- 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐲, 𝐢𝐧𝐯𝐞𝐬𝐭𝐢𝐠𝐚𝐭𝐞, 𝐚𝐧𝐝 𝐫𝐞𝐬𝐨𝐥𝐯𝐞 𝐝𝐚𝐭𝐚 𝐝𝐢𝐬𝐜𝐫𝐞𝐩𝐚𝐧𝐜𝐢𝐞𝐬

- 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐞 𝐫𝐢𝐬𝐤𝐬, 𝐝𝐞𝐥𝐚𝐲𝐬, 𝐚𝐧𝐝 𝐝𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐢𝐞𝐬 proactively to stakeholders

- 𝐌𝐚𝐢𝐧𝐭𝐚𝐢𝐧 𝐬𝐭𝐫𝐢𝐜𝐭 𝐚𝐝𝐡𝐞𝐫𝐞𝐧𝐜𝐞 𝐭𝐨 𝐇𝐈𝐏𝐀𝐀, 𝐏𝐇𝐈 𝐡𝐚𝐧𝐝𝐥𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐩𝐫𝐢𝐯𝐚𝐜𝐲 𝐫𝐞𝐠𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 across all processes

Qualifications & Eligibility

The formal degree requirement is listed as a "nice-to-have" rather than mandatory, with the technical skill requirements (SQL, Python) carrying more weight than the academic credential itself.

- 𝐁𝐚𝐜𝐡𝐞𝐥𝐨𝐫'𝐬 𝐨𝐫 𝐌𝐚𝐬𝐭𝐞𝐫'𝐬 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝟕𝟎%+ (nice-to-have, not strict requirement)

- 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐢𝐧 𝐒𝐐𝐋 𝐚𝐧𝐝 𝐛𝐚𝐬𝐢𝐜 𝐏𝐲𝐭𝐡𝐨𝐧 (𝐏𝐚𝐧𝐝𝐚𝐬 preferred) — must-have

- 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐄𝐱𝐜𝐞𝐥/𝐆𝐨𝐨𝐠𝐥𝐞 𝐒𝐡𝐞𝐞𝐭𝐬 (pivot tables, formulas)

- 𝐖𝐢𝐥𝐥𝐢𝐧𝐠𝐧𝐞𝐬𝐬 𝐭𝐨 𝐰𝐨𝐫𝐤 𝐫𝐨𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐨𝐫 𝐜𝐥𝐢𝐞𝐧𝐭-𝐚𝐥𝐢𝐠𝐧𝐞𝐝 𝐬𝐡𝐢𝐟𝐭𝐬

- 𝐁𝐚𝐬𝐞𝐝 𝐢𝐧 𝐨𝐫 𝐰𝐢𝐥𝐥𝐢𝐧𝐠 𝐭𝐨 𝐫𝐞𝐥𝐨𝐜𝐚𝐭𝐞 𝐭𝐨 𝐍𝐚𝐜𝐡𝐚𝐫𝐚𝐦, 𝐇𝐲𝐝𝐞𝐫𝐚𝐛𝐚𝐝

Skills Required

SQL is the clear non-negotiable requirement; Python and mathematical skills are valued but positioned as supplementary to core data validation discipline.

- 𝐒𝐐𝐋 𝐟𝐨𝐫 𝐪𝐮𝐞𝐫𝐲𝐢𝐧𝐠 (must-have)

- 𝐁𝐚𝐬𝐢𝐜 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐏𝐚𝐧𝐝𝐚𝐬 preferred (must-have)

- 𝐇𝐢𝐠𝐡 𝐚𝐭𝐭𝐞𝐧𝐭𝐢𝐨𝐧 𝐭𝐨 𝐝𝐞𝐭𝐚𝐢𝐥 in operational activities

- 𝐒𝐭𝐫𝐨𝐧𝐠 𝐝𝐚𝐭𝐚 𝐯𝐚𝐥𝐢𝐝𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐜𝐡𝐞𝐜𝐤 𝐝𝐢𝐬𝐜𝐢𝐩𝐥𝐢𝐧𝐞

- Nice-to-have: 𝐬𝐭𝐫𝐨𝐧𝐠 𝐦𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐚𝐥 𝐬𝐤𝐢𝐥𝐥𝐬, 𝐏𝐲𝐭𝐡𝐨𝐧 𝐝𝐚𝐭𝐚 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠