Data → Intelligence → Decision

Mukesh Singh

Power BI & workforce analytics · 15 years

I build the reporting systems leadership teams actually run on — KPI frameworks, executive dashboards and automated pipelines that turn scattered operational data into decisions people can defend. Most of that has been in staffing and workforce data, where the numbers are messy and the decisions are weekly.

  • Power BI · DAX
  • Recruitment & workforce analytics
  • Semantic modelling
  • Reporting automation
15+ Years in data & analytics
20% Recruitment productivity gain delivered
8.5h Daily overlap with CET teams
6 Business functions supported

01 / What I do

Analytics leadership with a builder's mindset.

Most reporting fails not because the data is wrong, but because nobody decided what the report is for. I start with the decision and build backwards to the model.

Where I am strongest

Staffing and workforce data, specifically.

Fifteen years of it — ATS and JobDiva extracts, recruiter throughput, requisition ageing, funnel conversion, headcount and cost-to-serve. It is a domain where the source data is genuinely awful and the definitions are contested, which is exactly why the modelling matters more than the visuals. If you run a staffing firm, an RPO or a workforce-heavy operation, I have already met your data.

  • ATS & recruitment dataJobDiva administration and extract modelling, submission and interview stage grain
  • Workforce reportingHeadcount snapshots, attrition cohorts, utilisation and cost-to-serve
  • Operational rollupsBranch and function reporting that reconciles to the finance close

Enterprise BI

KPI frameworks, semantic models and governed reporting layers that hold up when the business questions change. Built once, reused across functions.

Executive dashboards

Leadership views that surface exceptions and trends first, detail second — so a review meeting starts with the decision rather than with an argument about the numbers.

Reporting automation

Recurring consolidation, validation and distribution moved off manual effort, with the reconciliation checks that make an automated number trustworthy.

Why the timezone works in your favour

All three rows on one axis, in Central European Time.

Your team
09:00 – 17:30
Me
Full overlap
US East Coast
≈ 2.5h overlap

India is 3.5 hours ahead of CEST and 4.5 ahead of CET, so a standard Indian evening shift lands exactly on a European working day. Stand-ups are live, reviews are same-day, and nothing waits overnight for an answer.

02 / Live dashboards

Reports you can actually click.

Each one states the problem, the audience and the decision it drives before it shows a single number — then you are free to filter and drill through it yourself. Built on synthetic data in a personal workspace: the modelling and the DAX are the evidence, the figures are invented on purpose.

More reports, including workforce and finance views, sit on the full dashboards page.

All dashboards ↗

03 / Selected work

Show the system.
Then show the thinking.

Flagship project

MUKESH.OS

An enterprise intelligence operating system I designed and built: a shell that discovers applications from their own manifests, role-based access across four roles and twenty-one permissions, a resource registry that feeds the home page, and an admin layer for users and master data. Fourteen applications run inside it.

Application manifests RBAC · 4 roles Resource registry User management Global search
Open the platform ↗
Power BI craft

Dashboard architecture

How a Power BI layout is structured around a decision rather than a dataset — KPI card hierarchy, drill-through paths and what deliberately stays off the page.

Read the walkthrough ↗
Automation

Excel Automation

Recurring workbook cleanup, consolidation and validation — the unglamorous work that gives a month-end report its deadline back.

Read the walkthrough ↗
AI & documents

AI-Assisted Reporting

Prompt to draft to validated insight, plus document extraction with confidence scoring and explicit exception handling.

Read the walkthrough ↗

Eleven further applications — HRMS, payroll, CRM, inventory, finance and more — run inside the platform itself.

Browse them in MUKESH.OS ↗

04 / How I work

Start at the decision.
Build backwards.

The same four steps whether it is a single Power BI page or a platform with fourteen applications.

01

Frame the decision

Who reviews this, how often, and what will they do differently because of it? If that has no answer, the report has no job.

02

Model the data

A semantic layer with defined grain and owned definitions, so "headcount" means one thing across every report that uses it.

03

Design for the glance

Exceptions and trend first, detail on demand. A leadership view should be readable in ten seconds and defensible in ten minutes.

04

Automate and verify

Scheduled refresh with reconciliation checks. An automated number nobody validates is a manual number with extra steps.

05 / Experience

15 years of progressive analytics leadership.

May 2023 — Present

Data Analytics Manager · IMS Group

Leading enterprise BI and analytics: executive dashboards, KPI frameworks, reporting automation and data-driven decision support across the group's business functions.

Sep 2019 — May 2023

Lead Data Analyst · IMS Group

Led a team of analysts delivering enterprise BI solutions, executive dashboards, KPI frameworks and cross-functional management reporting.

Jan 2019 — Sep 2019

Lead Data Analyst & Admin · ClifyX

Led the JobDiva and reporting teams, implemented Power BI visual analytics and improved recruitment reporting accuracy.

Jun 2013 — Jan 2019

Data Management Specialist · Pyramid Consulting

Built dashboards, supported PMO activities and optimised recruitment performance reporting — the work behind a 20% improvement in recruitment productivity and efficiency.

Aug 2011 — Mar 2013

Senior Data Analyst · Mindlance

Supported staffing operations, drove an ATS implementation and led the MIS team.

Mar 2010 — Aug 2011

MIS Executive · Pyramid Consulting

Managed operational reporting, JobDiva administration and recruitment data workflows.

06 / Capabilities

Tools connected to outcomes.

Business intelligence

Power BIDAX Microsoft FabricData modeling Semantic layersKPI strategy Executive dashboardsRow-level security

Data & engineering

SQLETL PythonData quality Reconciliation designReporting pipelines Incremental refresh

Automation

Advanced ExcelVBA Reporting automationProcess automation AI-assisted analytics

Leadership

Team leadershipStakeholder management Decision intelligenceRequirements definition Analytics roadmaps

07 / Contact

Let's build better
decision systems.

Available now for remote contract or EOR engagements with European teams — part-time or full-time. I work your hours, invoice as a registered service exporter, and there is no visa or relocation in the conversation.