Data Analyst – Mandate (1 Month, Signalling Intelligence, Non-commercial) (Bhopal)

Title: Data analyst.

Mandate :

1 month, merit based only. Non-Commercial. Research Ops analyst. Signalling Research Intelligence.

Selection Criteria:

Selective intake. Merit and trust governed.

1-Month rotational mandate to ensure broader participation.

Role Overview

The Independent Research & Data Operations Analyst operates within the Technical Processing Layer and is responsible for structured quantitative data handling and production of a Technical Analysis File (TAF).

What You Work On

• ETL pipeline
• Data cleaning & dataset structuring
• Statistical modelling
• Dashboard & quantitative validation
• Produce a documented Technical Analysis File (TAF)

What You Earn (For Your Career, Not Salary)

• Visible credibility under verified identity
• Merit score & trust score growth
• Industry exposure
• Experience acknowledgement letter
• Structured work under mentorship

What You Gain (Additionally)

• abAgeyKya Platform access (1 Year).
• Safety, clarity and security for your current career.
• End-to-end data processing experience
• Real research-grade datasets
• Portfolio-ready output

Who is abAgeykya:

abAgeyKya is a private intelligence platform for Thought. Voice. Exchange. — not an employer.

Everyone enters as a user.

Progression — whether as consumer or contributor — is based on trust, merit, and credibility, without bias or influence.

Built for individuals — irrespective of role or experience — who value Safety. Clarity. Security.

Every participant operates within a layered security and trust framework by an Independent Identity & Trust Governance authority "IMTAH":

Gate 1 → Trust Vouch

Gate 2 → Identity Verification

Gate 3 → Digital Integrity Check

Gate 4 → Continuous Trust & Conduct Review

Standards remain the same for all.

What Is required from you:

. Trust & Security clearance active IMTAH Trust ID.

Focused work.

Company Description

abAgeyKya is a Thought–Voice Exchange and Value Trade platform for signalling research intelligence, operating through two signal lanes and built on the principles of Safety, Clarity, and Protection.

The platform focuses on identifying early signals across education, careers, workplaces, and industry ecosystems. It operates as a structured thought–voice–value exchange where individuals and experts contribute and consume signals that help detect misalignment, fraud patterns, structural biases, and emerging industry shifts before they create large-scale impact.

The platform enables two voice lanes.

Voice for Self — Individuals can raise and contribute their own voices across education, career, or workplace contexts under the platform’s governed safety framework. Participants can also consume signals shared by others to gain clarity and awareness.

Voice for Role (Industry Voices) — Individuals can contribute and consume signals emerging from their professional roles and industry environments. These signals help surface patterns, operational realities, and early warnings relevant to their domain.

Rather than offering guidance services, abAgeyKya functions as an independent signal intelligence environment where voices, observations, and industry insights are captured, validated, exchanged, and studied in real time.

The platform operates under a mandate governed by an independent identity and trust infrastructure (IMTAH™) designed to verify participants and maintain signal integrity while reducing noise, impersonation, influence, bias, selling, and misinformation.

Participants operate under an equal-opportunity trust structure, where roles emerge through merit and contribution: Trusted Users (raise or contribute publicly), Trusted Domain Users (raise or contribute within their skilled domain), Trusted Experts (contribute expert perspectives), and Elite Forces (serve specialised functions within the system).

Through this framework, abAgeyKya aims to strengthen transparency, protect economic ecosystems, and surface early warnings across education, career pathways, workplaces, and industry structures.

Qualifications

• Proven skills in Analytical Thinking and Data Analytics
• Strong knowledge of Statistics and Data Modeling
• Excellent Communication skills to effectively share complex insights
• Proficiency in data visualisation tools and statistical software
• Ability to work independently in a remote setting
• Educational background in Data Science, Statistics, Mathematics, or a related field is preferred
• Experience in handling sensitive data with confidentiality is a plus