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Workplace Service Delivery Specialist

Workplace Service Delivery Specialist

Accenture
10-12 Years
Not Disclosed
  • Posted 12 hours ago
  • Be among the first 10 applicants

Job Description

Job Description

Data & Analytics Specialist — Workplace & Facilities

Job Title

Data & Analytics Specialist – Workplace & Facilities

Function

Workplace Experience & Facilities Management

Industry

IT Services

Location

Bangalore

Reporting To

Workplace Strategy lead / Manager

Employment Type

Full-time

Qualification

Graduate in any stream

Role Summary

The Data & Analytics Specialist will own data, reporting, and insight generation for the Workplace & Facilities function of the organization. This role is responsible for consolidating multi-source workplace data (space utilization, occupancy, service tickets, vendor performance, cost, safety/compliance, and employee experience data), converting it into accurate, timely, and decision-ready reports and dashboards, and partnering with stakeholders to drive data-informed workplace decisions. The role requires strong technical proficiency (Excel, PowerPoint, Power BI; Python is an added advantage), sound business judgement, and the ability to work independently in a fast-paced, in-office environment.

Key Responsibilities

Reporting & Data Operations

  • Publish accurate and timely weekly, bi-weekly, and monthly reports and dashboards to workplace and facilities leadership.
  • Process and deliver ad hoc reports and analyses on request, with quick turnaround and high accuracy.
  • Maintain reporting calendars, templates, and SOPs to ensure consistency and auditability of all published data.
  • Own end-to-end data quality — validation, reconciliation, and error-checking — before any report is published.

Data Integration & Analysis


  • Extract, clean, and integrate data from multiple sources (facilities management systems, ticketing tools, badge/access data, vendor reports, surveys, finance data) into unified datasets.
  • Draw key inferences and trends from integrated data to support workplace strategy, space planning, and cost optimization.
  • Build and maintain interactive Power BI dashboards and self-service reporting tools for leadership and site teams.
  • Use Excel (advanced formulas, pivot tables, macros) and PowerPoint to build management-ready analysis and presentations.
  • Where applicable, write Python scripts to automate recurring data extraction, cleansing, and reporting tasks.

Strategic Leadership & Business Partnering


  • Translate leadership priorities into a structured analytics agenda for the workplace & facilities function.
  • Proactively identify opportunities where data can influence real-estate, space, cost, or experience decisions, and bring these forward with recommendations.
  • Support annual and quarterly workplace planning cycles with historical trend analysis and forward-looking projections.

Data Governance


  • Establish and maintain data standards, definitions, and documentation (data dictionaries, source-of-truth mapping) for workplace data sets.
  • Ensure data privacy, access control, and confidentiality are maintained across all reporting, particularly for employee and vendor data.
  • Drive consistency in metrics and KPIs across sites/regions so leadership works off a single version of the truth.

Analytics Competencies


  • Apply statistical and analytical techniques (trend analysis, variance analysis, forecasting) to workplace and facilities datasets.
  • Build scalable, reusable data models and dashboards rather than one-off manual reports.
  • Continuously improve reporting efficiency through automation and process simplification.

Cross-Functional Collaboration


  • Work closely with Facilities Operations, Real Estate, Finance, HR, EHS & GPNS to source data and align on reporting requirements.
  • Act as a single point of contact for data and reporting queries from workplace stakeholders and leadership.

Problem Solving


  • Diagnose root causes of data discrepancies, reporting delays, or gaps, and implement corrective and preventive measures.
  • Respond effectively to urgent, ambiguous, or time-sensitive data requests from leadership with sound judgement.
  • Recommend practical, data-backed solutions to workplace challenges such as space underutilization, service SLA misses, or cost overruns.

Required Skills & Technical Competencies


  • Advanced Excel
  • Strong working knowledge of Power BI (data modeling, DAX, dashboard design, report publishing).
  • Proficiency in PowerPoint for building executive-ready presentations.
  • Working knowledge of Python for scripting and automation is a strong plus.
  • Ability to work with large, multi-source datasets and integrate them into clean, structured formats.
  • Strong attention to detail, accuracy, and timeliness in a deadline-driven reporting environment.

Domain Knowledge (Preferred)


  • Exposure to workplace management, facilities management, or corporate real estate data (space utilization, occupancy, ticketing/CAFM systems) is preferred but not mandatory.
  • Understanding of IT services industry operating norms and stakeholder expectations is an advantage.

Qualifications & Experience


  • Graduate in any stream (mandatory); a background in analytics, statistics, commerce, or engineering is an added advantage.
  • Prior experience in a data/reporting/analytics role, ideally supporting a workplace, facilities, real estate, or operations function.
  • Demonstrated experience building dashboards and reports for leadership audiences.
  • Minimum of 10yrs of relevant experience

Work Location & Schedule


  • Based out of Bangalore.
  • Expected to report to office 5 days per week.

Key Attributes for Success


  • Structured and detail-oriented, with a strong sense of ownership over data accuracy.
  • Comfortable operating independently while managing multiple stakeholders and deadlines.
  • Curious and proactive — looks beyond the reporting ask to surface insights that matter to leadership.
  • Clear communicator, able to simplify complex data for non-technical stakeholders.

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