Steve MilesMBCS · Data & analytics Private dashboardNot public · sign-in required

SHES Senior Analytics Developer · Data Engineer · Analytics Leader

Trusted data.
Clear decisions.

I design and deliver governed data products, analytical solutions and executive reporting that turn complex operational and safety data into trusted, actionable insight.

Explore selected work How I work
Data product / active
End-to-end delivery

Source systems

Operational dataMultiple systems · mixed definitions

Governance layer

QualityLineageLogic

Decision layer

Trusted insightExplainable · actionable · reusable
SQLPythonSnowflakePower BI
Hands-on engineeringGovernanceLeadershipOperational understanding

About

From operational reality
to analytical clarity.

I combine hands-on data engineering and analytics with a practical understanding of frontline operations, quality and leadership.

My work spans the full product lifecycle: understanding the decision, integrating source data, shaping models and business rules, establishing quality and lineage, then delivering reporting people can use with confidence.

I am equally comfortable working in SQL and Python, discussing KPI intent with senior stakeholders, or helping another analyst strengthen their technical approach.

01Build trusted foundations

Integrate, harmonise and model complex operational data.

02Turn data into products

Create reporting, dashboards and workflow applications.

03Make quality visible

Document logic, lineage, controls and limitations.

04Develop capability

Mentor people and establish reusable technical standards.

Current focus

Building governed SHES
data products.

At National Grid Strategic Infrastructure, current work centres on making safety, health, environmental and security data consistent, explainable and useful across major portfolios.

In delivery

From fragmented records to a trusted analytical service

Harmonising incident, injury, Good Catch and performance data; creating documented Snowflake views; and supporting consistent portfolio-level leading and lagging indicators.

01IntegrateOperational sources
02GovernRules, quality, lineage
03DeliverInsight and action
Application

Working-hours capture

Exploring a Snowflake-native Streamlit and Snowpark platform with approvals, audit history and role-based access.

Visual analytics

Offshore SHES dashboard

Developing a modular standalone dashboard with controlled versions, interactive filtering and portable delivery.

Professional practice

Chartered development

Building professional evidence towards Chartered IT Professional registration while extending Python and data-product practice.

Public summaries are intentionally high-level and exclude internal identifiers, security arrangements and non-public performance data.

Selected work

Products built for
real decisions.

A selection of work across safety data, operational reporting, governed measurement and rapid product delivery.

01Governed data product

SHES incident intelligence

Harmonising incident and injury information into a consistent reporting model with explicit business rules, quality indicators and source lineage.

  • Cross-system data
  • SQL
  • Governance
  • Executive reporting
02Interactive analytics

Offshore performance dashboard

A modular, portable SHES dashboard designed for interactive filtering, clear KPI visualisation and controlled standalone distribution.

  • JavaScript
  • HTML & CSS
  • Data visualisation
  • Portable delivery
03Workflow application

Working-hours platform

A Snowflake-native submission and approval concept with role-based access, delegation, audit history and managed versioning.

  • Streamlit
  • Snowpark
  • Workflow
  • Audit trail
04Measurement governance

Portfolio KPI framework

Consistent leading and lagging indicators shaped with programme, HSE, sustainability and environmental stakeholders.

  • KPI design
  • Calculation logic
  • Stakeholders
  • Lineage
05National reporting

Openreach One Truth

A nationally accessible safety solution that brought multiple sources and common calculation logic into one action-oriented reporting service.

  • Multi-source reporting
  • Adoption
  • Safety insight
06Rapid delivery

COVID-19 operational tracker

Organisation-wide visibility delivered at pace through changing requirements to support critical operational decisions.

  • Rapid product delivery
  • Operational insight
  • Scale

Expertise

Technical depth.
Operational judgement.

A connected capability spanning foundations, products, governance and the people who use them.

01

Data engineering

Reliable analytical foundations built from complex operational sources.

  • Snowflake & Snowpark
  • Advanced SQL
  • Python automation
  • Data modelling
02

Analytics & reporting

Decision-ready products that connect measures to operational action.

  • Power BI
  • Executive reporting
  • KPI design
  • Performance analytics
03

Governance by design

Transparent logic and controls that make outputs explainable and reusable.

  • Data quality
  • Metadata
  • Lineage
  • Auditability
04

Application development

Practical tools that move analysis into secure, maintainable workflows.

  • Streamlit
  • Oracle APEX
  • HTML / CSS / JS
  • Power Platform
05

Technical leadership

Clear standards, collaborative delivery and stronger analytical capability.

  • Mentoring
  • Stakeholder alignment
  • Agile delivery
  • Knowledge transfer
Technology

Snowflake · Snowpark · SQL · PL/SQL · Python · Power BI · Streamlit · Oracle APEX · JavaScript · Power Platform · SharePoint · Git

Professional journey

Built from the
front line up.

Progression from quality and operational delivery into analytics leadership and modern data engineering gives the work context that cannot be learned from tools alone.

  1. 01
    Foundation

    Quality & systems

    Process control, ISO-aligned quality management, conformance and systems improvement.

  2. 02
    Operations

    Frontline engineering

    Practical operational knowledge, continuous improvement and customer engineering.

  3. 03
    Insight

    Business analytics

    SQL development, automated reporting and operational performance insight.

  4. 04
    Leadership

    Analytics management

    Team priorities, analytical quality, coaching and technical progression.

  5. 05
    Products

    Engineering insight

    Scalable analytics, self-service platforms and executive decision support.

  6. 06
    Now

    SHES data engineering

    Governed data products, integrations, KPIs and applications for major infrastructure.

Working principles

How I build trust
into the work.

01

Trust before presentation

A polished dashboard only matters when its calculations can be explained and trusted.

02

Governance by design

Quality, lineage and metadata belong in delivery—not in a clean-up phase.

03

Build for maintainability

Solutions should remain understandable, supportable and ready to evolve.

04

Make complexity usable

Technical sophistication should produce simpler decisions for the user.

05

Preserve operational context

Good analytics reflects how work is actually performed.

06

Develop capability

Technical leadership should leave people more confident and self-sufficient.

Professional development

Always extending
the craft.

MBCS

BCS professional memberProfessional membership

L5

Data Engineer ApprenticeshipLevel 5 qualification

HNC

ComputingHigher National Certificate

A Level

Computer ScienceFormal education

SA

Openreach Succession AcademySelected for leadership development

CITP

Chartered IT ProfessionalWorking towards registration

Connect

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