Summary
Overview
Work History
Education
Skills
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Work Availability
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Kirsty Docherty

Kirsty Docherty

London,City of London

Summary

Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for big data.


Currently focusing on best practices for implicating AI into manual processes and how it can be used to prevent work duplication within teams, a major growth inhibiting factor most companies face.

Overview

2
2
years of professional experience
4
4
years of post-secondary education

Work History

Senior Data Analyst

Pentland Brands
London, City of London
04.2022 - Current
  • Facilitated business decision-making, producing clear, dynamic reports on Profit margins, Missed opportunities due to stock and price optimizing analysis.
  • Identified and diagnosed data issues that directly increased YTD figure.
  • Generated weekly reports, detailing findings and advising recommendations for strategic decision making.
  • Participated in requirements meetings and data mapping sessions to understand business needs.
  • Trained end-users to capture new reports and use dashboards.
  • Troubleshot database to minimize glitches and bugs.
  • Supported Customer Data Project by creating Python code to extract data, Built data into SQL server and transitioned dashboards and reports from Tableau to Power Bi to allow business wide access.

Data Analyst

THG
London, City of London
08.2021 - 04.2022
  • Provided techniques regarding data mining and data cleansing.
  • Navigated multiple application-specific interfaces to carry out analysis.
  • Processed confidential data and information following strict guidelines.
  • Developed and managed data sources, security and metadata to enable access and sharing of data.

Education

Bachelor of Science - Mathematical Science

Technological University Dublin
Dublin, Republic of Ireland
09.2017 - 06.2021

Skills

  • PowerBI
  • Tableau
  • Python
  • SQL
  • Data modelling
  • Trend forecasting
  • Financial statements
  • Process mapping
  • Sales data analysis
  • SAP
  • Process Owner
  • Performance Tracking

Languages

English
Native
German
Intermediate

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote

Don’t believe everything you think.
Byron Katie

Timeline

Senior Data Analyst

Pentland Brands
04.2022 - Current

Data Analyst

THG
08.2021 - 04.2022

Bachelor of Science - Mathematical Science

Technological University Dublin
09.2017 - 06.2021
Kirsty Docherty