DOWNLOAD CV

ASHA
SPURDLE
IS A FINANCIAL
INSIGHTS
ANALYST.

Financial insights analyst across reporting, data analysis and investigation. Based in Christchurch, New Zealand.

Experience

2026—PRESENT

Financial Insights Analyst

SPARK NEW ZEALAND — CHRISTCHURCH

Own business-critical Power BI reporting across Finance and Sales, balancing day-to-day priorities across multiple Finance teams and stakeholders. Modernise semantic models and reports, coordinate releases, and investigate data issues across Snowflake, SID, Oracle and upstream pipelines. The role spans financial reporting, data engineering and analysis, with findings translated into clear recommendations for decision makers.

  • POWER BI
  • FINANCIAL REPORTING
  • STAKEHOLDER MANAGEMENT

2025—2026

Analytics Specialist

SPARK NEW ZEALAND — CHRISTCHURCH

Owned end-to-end Starlink billing reconciliation across multiple systems. Built Snowflake validation logic that surfaced mismatches across thousands of accounts and translated billing risk into action.

  • SQL
  • RECONCILIATION
  • COMPLIANCE

2023—2025

Data Analyst

SPARK NEW ZEALAND — CHRISTCHURCH

Analysed high-volume operational data and built validated SQL models and Power BI reporting that helped senior leaders understand performance and exceptions.

  • SQL
  • POWER BI
  • DATA VALIDATION

2023

Digital Marketing Intern

JNX — CHRISTCHURCH

Cleaned and analysed customer and campaign data to uncover engagement patterns, improve reporting clarity and support marketing decisions.

  • CAMPAIGN ANALYTICS
  • REPORTING

Case Studies

DATA—01

Starlink Billing Reconciliation

SNOWFLAKE + POWER BI · SPARK NZ

Integrated Spark and supplier billing data to find plan, price and service-line mismatches across thousands of accounts. Snowflake transformation and validation logic with Power BI exception reporting cut a manual reconciliation from around 3 hours to 30 minutes, giving teams clear exceptions to investigate and resolve.

  • THOUSANDS OF ACCOUNTS
  • 3 HOURS → 30 MINUTES
  • SNOWFLAKE
  • POWER BI

BI—02

Finance & Sales Reporting

BUSINESS-CRITICAL REPORTING

Own and modernise six reporting areas: Sales Performance, Sales Forecast, Aged Debt, Calendar Views, Health and Group Sales. Partner with Finance and business leaders to turn commercial questions into clear measures and reporting for forecasting, performance management and FY27 planning. Semantic model, access-control and release improvements strengthen consistency, governance and self-service.

  • 6 REPORTING AREAS
  • FINANCE & SALES
  • SEMANTIC MODELS
  • ROW LEVEL SECURITY

DATA—03

Customer Call Analysis

CUSTOMER & PRODUCT INSIGHTS

Analysed high-volume customer-call data with Power BI and LLM-generated insights to identify recurring themes and opportunities for customer action. The analysis surfaced more than NZ$1.2M in recovered value and helped prevent churn, while giving product and customer-experience teams evidence for decisions.

  • POWER BI
  • LLM-ASSISTED ANALYSIS
  • NZ$1.2M+ RECOVERED

RISK—04

CCW Batch 26 Compliance Analysis

STAGED SNOWFLAKE EXTRACT

Created a compliance extract with multi-step validation, data-quality flags and matched/unmatched summaries. Clear exception outputs made review easier and surfaced records requiring follow-up.

  • SNOWFLAKE
  • DATA VALIDATION
  • COMPLIANCE
  • EXCEPTION REVIEW

Background

DEGREE

Bachelor of Marketing

MASSEY UNIVERSITY — 2022

Research, business strategy and data-driven marketing.

CREDENTIALS

My Certifications

ANALYTICS & ARTIFICIAL INTELLIGENCE

Microsoft Azure AI Fundamentals (AI-900), Google Data Analytics, Microsoft Power BI Data Analyst (PL-300), and Databricks Data Analyst Associate.

TOOLKIT

Tools of the trade

FROM SOURCE TO DECISION

Power BI and DAX for clear reporting; Snowflake and SQL for trustworthy data; Python and Microsoft Fabric for exploration and pipelines; Copilot and GitHub for repeatable development workflows.

  • POWER BI
  • SNOWFLAKE
  • PYTHON
  • FABRIC
  • COPILOT
  • GITHUB

Resume

CURRICULUM VITAE · 2026

Asha Spurdle

Financial Insights Analyst | Investigation, Risk & Compliance Analysis

Christchurch, NZashaspurdle@gmail.com

TAILOR RESUME FOR

Showing focus: Financial Insights Analyst

Profile, skills, experience highlights and featured projects adjust to your selection.

01

Profile

Financial Insights Analyst with 3+ years of experience turning complex financial, operational, customer and billing data into clear findings for decision makers. Partner across Finance, Sales, operations and data teams, balance stakeholder priorities, modernise Power BI reporting, and investigate issues across Snowflake, SID, Oracle and upstream pipelines. Strong SQL, Power BI and advanced Excel capability, with a focus on accuracy, trusted reporting and actionable recommendations.

02

Core skills

  • Complex data analysis
  • Risk & pattern identification
  • Investigation support
  • Decision-ready reporting
  • SQL / Snowflake
  • Power BI / DAX
  • Advanced Excel / Power Query
  • Data validation & reconciliation
  • AI-assisted analysis
  • MCP workflows
  • GitHub Copilot / VS Code
  • Financial & compliance analytics
  • Stakeholder management
  • Financial reporting
03

Experience

APR 2026 — PRESENT

Financial Insights Analyst

SPARK NZ · CHRISTCHURCH

  • Own and support a portfolio of business-critical Power BI reporting used across Finance and Sales, including sales performance, forecasting, aged debt, calendar and group sales reporting.
  • Lead reporting modernisation across semantic models, report design and Row Level Security, while managing release cycles, refreshes, validation and stakeholder communications.
  • Investigate data quality and production issues across Power BI, Snowflake, SID, Oracle and upstream pipelines, working with Finance, Sales and data platform teams to trace causes and restore trusted reporting.
  • Partner with Finance and Sales leaders to investigate financial and operational issues, test assumptions against underlying data, and turn findings into clear recommendations and reporting for decision makers.
  • Use AI-assisted development and analysis workflows with MCP-connected tools, GitHub Copilot in VS Code and LLMs to speed up investigation, documentation, debugging and repeatable reporting tasks.

APR 2025 — APR 2026

Analytics Specialist

SPARK NZ · CHRISTCHURCH

  • Owned end-to-end Starlink billing reconciliation analysis, comparing records across multiple systems to identify mismatches, exceptions and potential billing risks across thousands of accounts.
  • Built Snowflake analysis pipelines and validation logic that traced issues back to source data and gave stakeholders clear evidence for follow-up and resolution.
  • Delivered compliance extracts using staged analysis, data quality flags and matched/unmatched checks, with clear validation summaries for stakeholder review.
  • Translated technical findings into concise reporting and written explanations for product, operational and leadership audiences, focusing on implications and required action.

JUN 2023 — APR 2025

Data Analyst

SPARK NZ · CHRISTCHURCH

  • Analysed high-volume customer, service and operational datasets to identify trends, exceptions and drivers behind performance outcomes.
  • Designed SQL datasets and Power BI dashboards used by senior leaders to monitor service performance and customer outcomes across recurring operational cycles.
  • Applied reconciliation, QA and validation checks across billing, customer and operational data to confirm accuracy before findings were shared with stakeholders.
  • Turned business questions from operations, product and leadership teams into targeted analytical work, then presented the findings in clear language rather than focusing only on methodology.

MAR 2023 — JUN 2023

Digital Marketing Intern

JNX · CHRISTCHURCH

  • Analysed customer and campaign data to identify engagement patterns and support reporting decisions.
  • Cleaned and prepared datasets, improving consistency and confidence in reported results.

MAR 2022 — APR 2023

Sales Representative

SPARK NZ · CANTERBURY

  • Used customer behaviour and sales information to identify retention patterns while maintaining accurate records for downstream reporting.
04

Selected analytical projects

Starlink Billing Reconciliation

Built an end-to-end Snowflake and Power BI reconciliation process to compare Spark and supplier billing, identify plan and service-line mismatches, quantify differences and give stakeholders a clear list of exceptions to investigate. Reduced a manual reconciliation process from around three hours to roughly 30 minutes.

CCW Batch 26 Compliance Analysis

Created a staged Snowflake extract with multi-step validation, data quality flags and matched/unmatched summaries for compliance use. The output was designed to make review easier and surface records requiring attention.

Customer Call Analysis

Analysed large volumes of customer call information to identify recurring themes, sentiment patterns and churn signals. The analysis surfaced more than NZ$1.2M in recovered value and helped prevent churn, supporting product and customer-experience decisions.

Finance & Sales Reporting

Own and modernise six business-critical reporting areas: Sales Performance, Sales Forecast, Aged Debt, Calendar Views, Health and Group Sales. Partner with Finance and business leaders to turn commercial questions into measures and reporting for forecasting, performance management and FY27 planning.

Mari Website · AI-Assisted Business & Brand Platform

Building a custom website for a social media influencer expanding her personal brand into a more scalable business. Using Codex, MCP-connected tools and GitHub Copilot in VS Code to support rapid prototyping, debugging, frontend development and iterative feature delivery, with AI embedded throughout the development workflow.

05

Education & certification

Bachelor of Marketing

MASSEY UNIVERSITY · PALMERSTON NORTH · GRADUATED NOV 2022

Relevant study: business analytics, data analysis, statistics, research methods and information systems.

Microsoft Certified: Azure AI Fundamentals (AI-900)

MICROSOFT

Google Data Analytics

Microsoft Power BI Data Analyst (PL-300)

Databricks Data Analyst Associate

06

Additional information

  • Eligible to work permanently in New Zealand and Australia.
  • Hands-on with MCP, GitHub Copilot in VS Code, Codex and LLM-assisted workflows for analysis, development and automation.
  • High attention to detail in regulated, high-volume data environments where accuracy, discretion and sound judgement matter.

Inquiries

SOCIAL

LINKEDINDOWNLOAD CV