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Data Intelligence Specialist

Job in 110006, Delhi, Delhi, India
Listing for: BT Group
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems/ Tech Analyst
  • Business
    Data Analyst, Business Intelligence, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Job Title:

Data Intelligence Specialist

Req

Job Function:
Brand and Marketing

Posting

Start Date:

18/06/2026

Posting End Date: 24/06/2026

Division: UK Business

Job Location:

IND-Gurugram-IQ

Advertised Salary:
Competitive

Recruiter:
Sakshi Mehrotra

Hiring Manager:
Shivani Bhasin

Career Grade: D

About

The Role

A Data Intelligence Specialist will be essential to maximise the performance of BT's corporate and public sector specialist sales teams. The role will enable data-driven decision making, improve forecasting accuracy, and unlock insights that increase win rates and productivity. In complex, high-value sales environments, this role transforms data into a competitive advantage—driving smarter prioritisation, more relevant bids, and accelerated revenue growth.

Single accountable owner for commercial data & insight:
Own end‑to‑end data visibility, insight delivery, and governance across Major Deals and Sales Enablement, ensuring a consistent, trusted source of truth for decision‑making.
Translate data into commercial action:
Convert operational and commercial data into clear, decision‑ready insights for leaders and delivery teams, directly supporting deal economics, pipeline health, and commercial performance analysis.
Operational performance management at scale:
Drive rigorous performance tracking across towers and products - monitoring throughput, SLAs, capacity utilisation, constraints, and bottlenecks to enable timely intervention and prioritisation.
Establish a performance‑led culture:
Act as a foundational catalyst for a strong data and performance culture - embedding transparency, accountability, and fact‑based prioritisation across the commercial span.
Progress towards advanced analytics:
Build the analytical foundations to progressively introduce predictive, advanced, and AI‑enabled insights - improving forecast accuracy, responsiveness, and overall decision velocity over time.
Linkage and alignment of the trading from the verticals to Deals & Sales Enablement.
Drive data-led commercial insights by aligning vertical pipeline, deal priorities, and trading performance to deals & sales enablement including win rates, sales velocity, and deal size trends.
Provide data‑led decision support through ROI and bid cost analysis (e.g., WNB), competitive intelligence, trend insights, and regular performance reporting to shape commercial initiatives, improve win outcomes, and optimise product mix.

What You Will Be Doing (Role Accountabilities)

Collect, analyse and integrate data from multiple internal sources to ensure accuracy, consistency, and reliability. Discover insights from the data pool by applying data mining techniques, conducting statistical analyses and building prediction to drive business decisions and commercial outcomes.
Perform data analysis to identify trends, patterns, risks, and opportunities aligned to business objectives.
Partner with business users to understand data requirements and convert them into analytical solutions and translate complex data into clear, actionable insights for stakeholders across business, sales, and leadership teams.
Ensure strong data governance practices, including data quality checks, validation, documentation, and compliance standards.
Automate recurring reports and analytics workflows to reduce manual effort and improve decision velocity.

Support advanced analytics initiatives such as forecasting, segmentation, performance measurement, and KPI tracking.

Continuously identify opportunities to enhance data usability, visualization standards, and insight delivery.
Contribute to data strategy initiatives, including tooling rationalisation, self‑service analytics, and AI‑enabled insights.
Develop and optimise dashboards (e.g., Qlik Sense / Power BI) with strong performance and user experience. Monitor dashboard usage and adoption to drive continuous improvement.
Manage semantic layers, data models, and KPI definitions to ensure a single source of truth.
The role leads as a specialist and helps drive effective data analysis and life cycle activity. Also, enhances data collection procedures to identify and action key KPIs as well as processing, cleansing and verifying the integrity…
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