Rosa Adeyemi
EMP-0005550 · Employee · projected from the master template
- employee_id
- EMP-0005550
- seq
- 5,550
- first_name
- Rosa
- last_name
- Adeyemi
- middle_initial
- —
- full_name
- Rosa Adeyemi
- work_email
- rosa.adeyemi@vertexhaven.io
- work_phone
- +1-427-221-2174
- home_address_line1
- 5115 Granite Terrace
- job_title
- Manager, Data & Analytics
- job_code
- DAT-04-1
- job_family
- Data & Analytics
- flsa_status
- exempt
- job_level
- 4
- job_level_name
- Manager
- job_level_code
- M1
- is_people_manager
- yes
- is_executive
- no
- department_code
- DAT
- department_name
- Data & Analytics
- department_function
- Technology
- cost_center
- CC-1600
- location_code
- HQ-BOS
- location_city
- Boston
- location_region
- Massachusetts
- location_country
- United States
- location_country_code
- US
- location_timezone
- America/New_York
- manager_id
- EMP-0001248
- manager_seq
- 1,248
- direct_report_count
- 9
- org_depth
- 7
- employment_type
- Full-time regular
- work_arrangement
- Hybrid
- employment_status
- active
- hire_date
- 2023-07-19
- tenure_years
- 3.16
- termination_date
- —
- termination_reason
- —
- termination_voluntary
- —
- leave_type
- —
- date_of_birth
- 1972-03-03
- age
- 54
- gender
- Female
- ethnicity
- White
- base_salary_cents
- 20,127,739
- base_salary
- $201,277
- currency
- USD
- bonus_target_pct
- 12%
- bonus_target
- $24,153
- equity_units
- 600
- compa_ratio
- 1.053
- band_min_cents
- 12,136,000
- band_mid_cents
- 14,800,000
- band_max_cents
- 18,352,000
- department_ordinal
- 10
- location_ordinal
- 0
- employment_status_ordinal
- 0
- performance_rating
- 4
- engagement_score
- 69
- flight_risk_score
- 14
- tenure_days
- 1,065
Performance reviews (4)
| review_id | employee_id | employee_name | cycle_code | rating | rating_label | potential |
|---|---|---|---|---|---|---|
| REV-0005550-0 | EMP-0005550 | Rosa Adeyemi | FY-CUR-H1 | 4 | Exceeds expectations | High potential |
| REV-0005550-1 | EMP-0005550 | Rosa Adeyemi | FY-PRV-EOY | 5 | Outstanding | Low potential |
| REV-0005550-2 | EMP-0005550 | Rosa Adeyemi | FY-PRV-H1 | 3 | Meets expectations | High potential |
| REV-0005550-3 | EMP-0005550 | Rosa Adeyemi | FY-P2-EOY | 5 | Outstanding | High potential |
Goals (3)
| goal_id | employee_id | employee_name | title | category | progress_pct | status |
|---|---|---|---|---|---|---|
| GOL-0005550-1 | EMP-0005550 | Rosa Adeyemi | Complete the data quality remediation programme | People and culture | 51% | at risk |
| GOL-0005550-0 | EMP-0005550 | Rosa Adeyemi | Increase pipeline coverage to 3.5x | People and culture | 27% | off track |
| GOL-0005550-2 | EMP-0005550 | Rosa Adeyemi | Reduce cycle time for the core workflow by 20% | Innovation | 92% | on track |
Leave balances (8)
| balance_id | employee_id | employee_name | leave_type_code | leave_type | accrued_days | taken_days |
|---|---|---|---|---|---|---|
| BAL-0005550-0 | EMP-0005550 | Rosa Adeyemi | PTO | Paid time off | 14.1 | 0 |
| BAL-0005550-1 | EMP-0005550 | Rosa Adeyemi | SICK | Sick leave | 7 | 0 |
| BAL-0005550-2 | EMP-0005550 | Rosa Adeyemi | PARENT | Parental leave | 59.1 | 0 |
| BAL-0005550-3 | EMP-0005550 | Rosa Adeyemi | BEREAV | Bereavement leave | 3.5 | 0 |
| BAL-0005550-4 | EMP-0005550 | Rosa Adeyemi | JURY | Jury duty | 7 | 0 |
| BAL-0005550-5 | EMP-0005550 | Rosa Adeyemi | UNPAID | Unpaid leave of absence | 21.1 | 0 |
| BAL-0005550-6 | EMP-0005550 | Rosa Adeyemi | VOL | Volunteer day | 1.4 | 0 |
| BAL-0005550-7 | EMP-0005550 | Rosa Adeyemi | SAB | Sabbatical | 21.1 | 0 |
Training (2)
| training_record_id | employee_id | employee_name | course_code | course_title | category | is_mandatory |
|---|---|---|---|---|---|---|
| TRN-0005550-0 | EMP-0005550 | Rosa Adeyemi | PRO-401 | Structured Problem Solving | Professional | no |
| TRN-0005550-1 | EMP-0005550 | Rosa Adeyemi | WEL-501 | Mental Health First Aid | Wellbeing | no |
Recent payslips (48)
| payslip_id | employee_id | employee_name | payroll_run_id | period_end | pay_date | gross_pay |
|---|---|---|---|---|---|---|
| PAY-0005550-0048 | EMP-0005550 | Rosa Adeyemi | RUN-0048 | 2026-06-17 | 2026-06-21 | $14,425 |
| PAY-0005550-0047 | EMP-0005550 | Rosa Adeyemi | RUN-0047 | 2026-06-02 | 2026-06-06 | $8,387 |
| PAY-0005550-0046 | EMP-0005550 | Rosa Adeyemi | RUN-0046 | 2026-05-18 | 2026-05-22 | $8,387 |
| PAY-0005550-0045 | EMP-0005550 | Rosa Adeyemi | RUN-0045 | 2026-05-03 | 2026-05-07 | $8,387 |
| PAY-0005550-0044 | EMP-0005550 | Rosa Adeyemi | RUN-0044 | 2026-04-18 | 2026-04-22 | $8,387 |
| PAY-0005550-0043 | EMP-0005550 | Rosa Adeyemi | RUN-0043 | 2026-04-03 | 2026-04-07 | $8,387 |
| PAY-0005550-0042 | EMP-0005550 | Rosa Adeyemi | RUN-0042 | 2026-03-19 | 2026-03-23 | $14,425 |
| PAY-0005550-0041 | EMP-0005550 | Rosa Adeyemi | RUN-0041 | 2026-03-04 | 2026-03-08 | $8,387 |
| PAY-0005550-0040 | EMP-0005550 | Rosa Adeyemi | RUN-0040 | 2026-02-17 | 2026-02-21 | $8,387 |
| PAY-0005550-0039 | EMP-0005550 | Rosa Adeyemi | RUN-0039 | 2026-02-02 | 2026-02-06 | $8,387 |
Direct reports (9)
| employee_id | first_name | last_name | full_name | work_email | job_title | job_level |
|---|---|---|---|---|---|---|
| EMP-0041701 | Bram | Thorvaldsen | Bram Thorvaldsen | bram.thorvaldsen@vertexhaven.io | Junior Data Analyst | 0 |
| EMP-0041702 | Charlotte | Karlsson | Charlotte Karlsson | charlotte.karlsson@vertexhaven.io | Principal Data Analyst | 3 |
| EMP-0041703 | Curtis | Terrell | Curtis Terrell | curtis.terrell@vertexhaven.io | Senior Data Analyst | 2 |
| EMP-0041704 | Jasmine | Kamara | Jasmine Kamara | jasmine.kamara@vertexhaven.io | Data Analyst | 1 |
| EMP-0041705 | Leticia | Tamura | Leticia Tamura | leticia.tamura@vertexhaven.io | Data Analyst II | 1 |
| EMP-0041706 | Nalini | Jorgensen | Nalini Jorgensen | nalini.jorgensen@vertexhaven.io | Data Analyst II | 1 |
| EMP-0041707 | Joaquin | Szabo | Joaquin Szabo | joaquin.szabo@vertexhaven.io | Junior Data Analyst | 0 |
| EMP-0041708 | Arjun | Jayaraman | Arjun Jayaraman | arjun.jayaraman@vertexhaven.io | Senior Data Analyst II | 2 |
| EMP-0041709 | Meseret | Sullivan | Meseret Sullivan | meseret.sullivan@vertexhaven.io | Associate Data Analyst | 0 |