{"id":127475,"url":"https://alion.io/job/practo-lead-data-analyst","title":"Lead Data Analyst","company":{"id":6808,"name":"Practo","domain":"practo.com","url":"https://alion.io/company/practo","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":43000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":587},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-27T05:05:41Z","employer_posted_date":null,"last_verified_at":"2026-08-27T05:05:41Z","board_verified":false,"closed_at":null,"days_open":51,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":51},"description":"We're looking for a senior individual contributor who can turn ambiguous business and product questions into the right KPIs, the right data, and ultimately a decision, not just a dashboard. This is a business understanding-first role: given a problem (e. g., why did automation % move, is a new workflow actually working, or what should we expect next quarter), you should be able to figure out what data already answers it, what data doesn't exist yet and how to get it, and what the number actually means for the business. You'll work directly with product, engineering, and leadership; use AI as a core part of your analytics workflow; and own your problem domain end-to-end as a senior IC. This role has no direct reports; senior analysts mentor by practice.\nResponsibilities:\nTranslate ambiguous business and product questions into well-defined KPIs and metrics; own the definition, not just the reporting.\nIdentify existing data sources and design plans to source or build what's missing.\nRun rigorous quantitative analysis (Advanced SQL/Python, statistical methods, data mining) across large and messy datasets to extract decision-relevant insights.\nDesign and run experiments (A/B tests, cohort and funnel analysis) to validate hypotheses and build forward-looking business projections.\nPerform root cause analysis on metric movements and anomalies; connect numbers to mechanisms, not just trend lines.\nUse AI tools and agents as a core part of your analytics workflow, with judgment on where AI output can be trusted vs. verified.\nPartner directly with product, engineering, and leadership to turn analysis into decisions; represent data credibly in cross-functional forums.\nContribute to scaling and maturing the analytics function, including mentoring other analysts.\nRequirements:\n7+ years in analytics, including 1-2 years at a lead/senior owner level.\nStrong hands-on experience in advanced SQL and Python.\nStatistical experience and data mining applied to real business problems.\nProven track record of defining and owning business KPIs/metrics.\nDirect experience working with product, engineering, and leadership stakeholders.\nDemonstrated depth in using AI in analytics workflows, specific tools, and specific judgment.\nEvidence of driving measurable business impact through data.\nStrong problem-solving and communication skills.\nBackground from a strong product- or data-mature company.\nAbility to translate ambiguous business problems into the right KPIs and data.\nPreferred:\nExperimentation experience (A/B testing, cohorts, funnels).\nExperience with messy, high-volume datasets.\nExperience helping build or scale an analytics function from an early stage.\nExposure to healthcare or revenue cycle domains.\nFamiliarity with modern data stack (Snowflake, BigQuery, dbt, Airflow).","description_format":"text","description_chars":2797,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Telemedicine & Virtual Care","Practice Management Software","Patient Access & Booking"],"lifecycle":[{"event":"open","at":"2026-08-27T05:05:41Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long 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