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            Application positions

            scheduleLast updated on November 13, 2026

            1. Dataset Name

            application_x_positions_sr

            2. Description

            Application-level dataset that joins every application to its parent position, enriched with calibration status/percentage, position-aging buckets, and (as of the latest query revision) field-level calibration detail, resolved recruiter/hiring manager display names, calibration milestone timestamps, and candidate diversity fields. Each row represents a single application, with position attributes (recruiter, hiring manager, business unit, location, calibration state, etc.) denormalized onto it. Designed to be the primary source for recruitment funnel, time-to-fill/hire, match-score, and calibration-health analyses.

            3. Source Tables

            • customer_views.positions
            • customer_views.applications
            • customer_views.employee (joined twice — once to resolve recruiter display name, once for hiring manager)
            • customer_views.user_analytics (joined twice — once for the calibration_80_percent_complete event, once for calibration_100_percent_complete)

            4. Grain

            One row per position_id × application_id. Since positions is the LEFT JOIN anchor, a position with zero applications still appears — once, with all application-level fields (application_id, application_ts, hired_ts, match_stars, profile_id, etc.) null. A position with multiple applications appears once per application.

            5. Dashboards Supported

            • Recruitment Effectiveness
            • TA Feature – Usage and Outcome
            • Calibration Dashboard
            • Source Analytics Dashboard

            6. Metrics Supported

            Metric Supported Breakdowns
            Time to Fill Business unit, recruiter, location, job function, seniority level, calibration status
            Time to Hire Hire-time bucket (<7, 7–30, 31–60, >60 days), recruiter, business unit, location, source category
            Match Score Position, source category, recruiter
            Filled Positions Business unit, recruiter, location, job function
            Hired (count/rate) Source category, internal vs. external, referral, recruiter, business unit, calibration status
            Recruitment Funnel source category, internal mobility, referral, business unit
            Open Positions Recruiter, business unit, location, position age bucket, calibration status
            Time to Calibrate Position Recruiter, business unit — via creation_ts vs. position_calibration_80_complete_ts / position_calibration_100_complete_ts
            Diversity Breakdown — Applications/Hires Recruiter, business unit — via ef_race, ef_gender

            7. Known Exclusions / Filters Applied

            • Applications with system_id = 'sourcing' are excluded.
            • Positions with status = 'Sourcing Pipeline' are excluded.
            • A hardcoded list of 5 position IDs is explicitly flagged via is_excluded_position (not dropped, but flaggable for exclusion downstream).
            • source_category is derived through a long waterfall of CASE WHEN rules (referral, internal mobility, job boards, social, campus recruiting, etc.) — consumers building source-based breakdowns should treat source_category as the canonical field rather than raw source_type/source_name/utm_source.
            • Calibration is considered "complete" only when ≥4 of 5 calibration flags (location, skills, titles, similar candidate, work experience) are true.
            • Recruiter and hiring_manager are resolved to display names via a join to customer_views.employee; when no matching employee record is found, they fall back to the raw email (recruiter_email / hiring_manager_email).
            • position_calibration_80_complete_ts and position_calibration_100_complete_ts are sourced from customer_views.user_analytics calibration events and will be null for positions where that milestone was never reached, or where event tracking predates this feature's rollout.
            • fields_calibrated and the has_calibrated_* flags give field-level detail (which of the 5 calibration attributes are set); calibration_field_bifarcation is unchanged and remains limited to the "exactly 4 of 5" case.

            8. Schema

            Column Name Data Type Notes
            application_id varchar Primary grain key for this dataset
            position_id bigint Join key to position
            group_id varchar Tenant/customer scoping
            system_id varchar Used to exclude sourcing-only applications ('sourcing' excluded)
            apps_system_id varchar Application's system_id (aliased from apps.system_id); also checked in the sourcing exclusion filter
            application_ts datetime Application submission timestamp
            hired_ts datetime Null unless candidate was hired
            offer_ts datetime Null unless an offer was extended
            match_stars double Powers Match Score metric
            is_internal bigint Flag (0/1); internal candidate applying to a position
            is_referral bigint Flag (0/1); feeds into source_category waterfall
            is_career_site bigint Flag (0/1); application came via career site
            in_talent_network bigint Flag (0/1); applicant was already in talent network
            application_status varchar Raw status of the application (e.g. in review, rejected)
            position_status varchar Raw status of the position (e.g. open, closed)
            closed_at datetime Position close timestamp; null if still open
            is_open bigint Flag (0/1) from source position record
            creation_ts datetime Position creation date; basis for position_age_bucket
            recruiter_email varchar Raw recruiter email from source position record (recruiter is now resolved separately)
            recruiter varchar Recruiter owning the position. Resolved to "First Last (email-prefix)" via a join to customer_views.employee; falls back to recruiter_email if no match
            job_function varchar Position's job function/category
            location_country varchar Position location, country
            location varchar Position location, full string (city, etc.)
            site varchar Derived: location_country + city portion of location, concatenated
            business_unit varchar Position's business unit
            hiring_manager_email varchar Raw hiring manager email from source position record (hiring_manager is now resolved separately)
            hiring_manager varchar Hiring manager for the position. Resolved to display name using the same pattern as recruiter, keyed off hiring_manager_email
            position_age_bucket varchar Derived: <15, 15–30, 30–60, 60–90, >90 days since creation_ts
            source_category varchar Derived: normalized source label (Referral, Internal Mobility, LinkedIn, Indeed, Career Site, etc.) via a CASE WHEN waterfall over source_type/source_name/utm_source
            has_calibrated_location bigint Flag (0/1); Location calibration attribute set
            has_calibrated_titles bigint Flag (0/1); Job Titles calibration attribute set
            has_calibrated_skills bigint Flag (0/1); Skills calibration attribute set
            has_calibrated_workexp bigint Flag (0/1); Work Experience calibration attribute set
            has_calibrated_similar_cand bigint Flag (0/1); Ideal Candidate (similar candidates) calibration attribute set
            fields_calibrated varchar Derived: comma-separated list of calibrated field names (e.g. "Location, Skills"), or 'None' if zero are calibrated
            is_calibrated bigint Derived: 1 if ≥4 of 5 calibration flags (location, skills, titles, similar candidate, work experience) are true
            is_closed_position bigint Derived: 1 if closed_at is not null
            is_rediscovered_applicant bigint Flag (0/1) from source applications record
            is_open_position bigint Derived: 1 if is_open = TRUE
            is_hired bigint Derived: 1 if hired_ts is not null
            is_excluded_position bigint Derived: 1 if position_id is in a hardcoded list of 5 excluded position IDs
            Time_to_hire bigint Derived: DATEDIFF(hired_ts, application_ts), in days
            hire_time_bucket varchar Derived bucket of Time_to_hire: <7, 7–30, 31–60, >60 days
            calibration_pct bigint Derived: (number of true calibration flags / 5) × 20, so 0/20/40/60/80/100
            is_offer bigint Derived: 1 if offer_ts is not null
            ats_job_id varchar External ATS job identifier for the position
            seniority_level varchar Position's seniority level
            calibration_type varchar Derived: "Calibration Complete" if ≥4/5 flags true, else "Calibration Incomplete"
            calibration_status varchar Raw calibration status field from source position record
            calibration_field_bifarcation varchar Derived: lists which 4 of the 5 calibration fields are set, only populated when exactly 4 are true; null otherwise
            profile_id varchar Candidate identifier; null for positions with no applications
            source_name varchar Raw source detail; for referrals, carries the referring employee identifier
            position_calibration_80_complete_ts datetime Timestamp position first reached the calibration_80_percent_complete event (from customer_views.user_analytics)
            position_calibration_100_complete_ts datetime Timestamp position first reached the calibration_100_percent_complete event (from customer_views.user_analytics)
            ef_race varchar Candidate self-identified race/ethnicity from the applications record; powers Diversity Breakdown metrics. Null where not disclosed/collected.
            ef_gender varchar Candidate self-identified gender from the applications record; powers Diversity Breakdown metrics. Null where not disclosed/collected.
            archived_at datetime Position archive timestamp from the source position record; null if never archived.
            row_num bigint Derived: ROW_NUMBER() partitioned by group_id, position_id, ordered to rank the "primary" application per position (hired first, then offer, then most recent hire/application date). Filter row_num = 1 for position-level analysis to avoid fan-out.
            #submissions #openings

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