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Open nowFirst seen 34 hours ago

Data Analyst

Arsenault269 open roles

Where
Liverpool, England, United Kingdom, Remote
Work mode
Remote
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Your applicationOpen nowData AnalystArsenault · Liverpool, England, United Kingdom, Remote

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 34 hours ago

The posting

we are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. As a data analyst you will gather and scrutinise data using specialist tools to generate information that helps others make decisions. You will respond to questions about data and look for trends, patterns and anomalies within it.

Key Responsibilities:

  • develop records management processes and policies
  • identify areas to increase efficiency and automation of processes
  • set up and maintain automated data processes
  • identify, evaluate and implement external services and tools to support data validation and cleansing
  • produce and track key performance indicators
  • develop and support reporting processes
  • monitor and audit data quality
  • liaise with internal and external clients to fully understand data content
  • gather, understand and document detailed business requirements using appropriate tools and techniques
  • design and carry out surveys and analyse survey data
  • manipulate, analyse and interpret complex data sets relating to the employer's business
  • prepare reports for internal and external audiences using business analytics reporting tools
  • create data dashboards, graphs and visualisations
  • provide sector and competitor benchmarking
  • mine and analyse large datasets, draw valid inferences and present them successfully to management using a reporting tool

Requirements

  • excellent numerical and analytical skills
  • knowledge of data analysis tools - you don't need to know all of them at entry level, but you should show advanced skills in Excel and the use of at least one relational database
  • familiarity with other relational databases (e.g. MS Access)
  • knowledge of data modelling, data cleansing, and data enrichment techniques
  • Hadoop open-source data analytics
  • Google Analytics, SEO, keyword analysis and web analytics aptitude, for marketing analyst roles
  • the capacity to develop and document procedures and workflows
  • the ability to carry out data quality control, validation and linkage
  • an understanding of data protection issues
  • an awareness and knowledge of industry-specific databases and data sets
  • experience of statistical methodologies and data analysis techniques
  • the ability to produce clear graphical representations and data visualisations
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