KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
REQUIREMENT_ID_1618 β€’ 3-DAY_ACTIVE_POLICY

Talent Operations Associate Consultant

Company
Company Weekday
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή20,000 – β‚Ή40,000 per month fixed + performance based incentives
Location
Location Remote
Posted Date
Posted Date Oct 07, 2026
Excellent verbal and written communication strong research ability analytical thinking time management proficiency with Airtable Slack CRM tools active listening coaching mindset adaptability
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Aptitude Practice Questions Open Resource β†—
Curated quantitative and logical reasoning problems to sharpen analytical skills needed for screening calls.
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Company Interview Preparation Guide Open Resource β†—
Insights on typical interview formats and questions across tech and startup companies, useful for mock calls.
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Comprehensive Interview Prep Resource Open Resource β†—
Step‑by‑step preparation material covering aptitude, communication, and situational questions for early‑career roles.

Graduates with 0‑1 years of experience. Acceptable degrees: BBA, B.Com, B.Sc, B.Tech, BE, BA, Psychology, or related fields. Minimum academic performance: 60% aggregate (or equivalent CGPA). No active backlogs at the time of joining. Freshers and recent graduates are strongly encouraged to apply.

1
Round 1: Recruiter Screen (20 mins)
2
Round 2: Hiring Manager Screen & Live Mock Call (30–45 mins)
3
Round 3: Culture Check (20 mins)
Weekday, a Y Combinator W21 alumni, is a fast‑growing startup that powers hiring for high‑growth tech companies across India. The platform combines AI‑driven sourcing with human expertise to match top talent with cutting‑edge roles in a fraction of the time traditional recruiters need. Backed by leading investors, Weekday has quickly become a trusted partner for startups looking to scale their teams, and it is expanding its internal talent operations team to sustain this momentum. As a Talent Operations Associate Consultant, you will be at the heart of the hiring engine. Reporting to the Head of Recruiter Screening, you will conduct candidate screening calls, research client roles, capture detailed evaluation data, and ensure a seamless candidate experience. The role is designed as a six‑month contract with a clear pathway to extension or full‑time employment based on performance. You will work 9 hours a day, six days a week, from the comfort of your home, using modern collaboration tools such as Airtable, Slack, and the company’s CRM. Key Responsibilities: 1. Conduct 15‑40 high‑impact screening calls daily, evaluating technical and non‑technical fit. 2. Research client job descriptions thoroughly to answer candidate queries authoritatively. 3. Record structured rubric data for each candidate to maintain evaluation consistency. 4. Manage end‑to‑end candidate communication, including status updates and feedback loops. 5. Use Airtable, Slack, and CRM tools to generate accurate daily reports. 6. Coach and lead a small POD of 2‑3 associates, tracking metrics and driving corrective actions. 7. Identify process improvement opportunities and suggest automation enhancements. 8. Participate in weekly performance reviews and contribute to scaling the POD model. 9. Assist senior leadership with operational analytics and talent insights. 10. Uphold Weekday’s culture of ownership, speed, and continuous learning. Tech Stack & Tools: Airtable, Slack, CRM platforms, Google Workspace, basic data visualization tools (e.g., Google Data Studio). No deep technical coding required, but familiarity with SaaS tools is advantageous. Growth Path: Successful associates can progress to POD Lead, Senior Talent Operations Manager, and eventually to People Operations or Talent Acquisition leadership roles. The contract includes performance‑based incentives and a direct route to a full‑time position for high performers. Why Join Weekday? You will gain hands‑on experience in startup hiring, develop leadership skills early, and work alongside seasoned recruiters and founders. The role offers a steep learning curve, competitive compensation, and a culture that rewards initiative and results.

Weekday β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Weekday Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Weekday and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Excellent verbal and written communication, strong research ability, analytical thinking, time management, proficiency with Airtable, Slack, CRM tools, active listening, coaching mindset, adaptability) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Weekday Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer β–Ό
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer β–Ό
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer β–Ό
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer β–Ό
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Weekday as a Talent Operations Associate Consultant?
Preparation Tip: Highlight Weekday's market reputation, recent tech innovations, and how your skills in Excellent verbal and written communication directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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