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DPI Search Analyst

DPI Search Analyst

Full Time 05 September - 2025 10:42 am
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Employment Information
Experience
Any
Industry
Healthcare
Deadline
30 Sep-2025
Type
Full Time
Level
Mid Level
Gender
Any
Age
Any
Updated
05 Sep-2025
Salary
8lakh/Annum
Vacancy
2
Description

We’re looking for a curious, data-driven DPI Search Analyst to ensure people find the right content, fast. You’ll work at the intersection of data, search engineering and product — tuning relevancy, fixing edge‑case queries, and turning search telemetry into measurable improvements that raise engagement and business outcomes.
As a DPI Search Analyst you will own search quality for one or more product areas. You will analyze query logs, build and test ranking rules, maintain indexes, and collaborate with engineers, product managers and content teams to prioritize search improvements. Your work will make discovery faster and more reliable for millions of users.

Education

Education & experience Minimum: Bachelor’s degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related field — or equivalent practical experience. Experience: 1–3 years in a search, analytics, or data role (or strong internships/projects). Hands‑on experience working with search platforms or large-scale log analysis is a plus.

Must Have

Key responsibilities Monitor search health and key metrics (CTR, zero-result rate, time-to-first-result, query success rates). Analyze query logs and user behavior to identify relevance failures and growth opportunities. Design and deploy relevancy rules, synonyms, and query pipelines; tune ranking signals and boosting policies. Build and maintain indexes and mappings; own index refresh and rollback procedures for safe deployments. Create searches, dashboards and reports to measure experiment impact and long-term trends. Implement and validate search QA tests, automated smoke checks and alerting for regressions. Coordinate with product and content teams to prioritize fixes and gather feedback on quality improvements. Run A/B tests or offline experiments for ranking and relevance changes; interpret results and recommend rollouts. Document search rules, known issues, and playbooks for on-call and support teams.

Educational Requirements

MBA

Workplace

Office

Other Benefits

Benefits we offer Competitive salary and performance bonus Health (medical), dental and vision coverage Flexible / hybrid work-policy and paid time off Annual learning & certification budget and mentorship programs Retirement / pension contributions where applicable Regular team offsites, wellness programs and discounts

Benefits
Locations
FAQs
  • What does "DPI" mean in this role?

    In this posting, DPI refers to our internal search & indexing platform that powers content discovery across products. If your organization uses a different expansion of the acronym, the core role — improving search relevance and discovery — will be similar.
  • Which technologies will I work with day-to-day?

    Expect to work with a search engine (Elasticsearch/OpenSearch/Solr), query logs (JSON), SQL databases, Python for scripting, and visualization tools like Kibana or a BI tool.
  • Is this role remote or on-site?

    We’re open to hybrid and remote arrangements for qualified candidates; specify your preference in your application and the location field.
  • What does success look like in the first 90 days?

    Deliverables include: (a) ownership of one search area, (b) a reproducible analysis of a high‑impact relevance issue, (c) a small experiment or tuning change with measurable improvement, and (d) documented search playbook for common issues.
  • What career path does this role lead to?

    Common paths: Senior Search Analyst, Relevance Engineer, Search Product Manager, Data Scientist (applied ML for search), or broader Data Engineering / Analytics leadership.
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