Data Analyst (Food/resturant/fmcg Chain) Kuilsriver R28 000 – R36 000 per month
West Coast Personnel
CapeTown, South Africa
5d ago
source : Job Placements

Data Analyst (Food / resturant / fmcg Chain)

Kuilsriver

R28 000 R3 6 000 per month

Fast Food Chain seeks a Data Analyst to work with large amounts of data : facts, figures, and number crunching, the incumbent will need to see through the data and analyse it to find conclusions and present their findings, or translate the data into an understandable document, the analyst will need to write and speak clearly, easily communicating complex ideas.

The data analyst will look at the numbers, trends, and data and come to new conclusions based on their findings. Experience with Power Point / GAAP / POS / SQL / Advanced Excel skills.

2+ years in a data analyst role or related field

REQUIRED SKILLS

  • Bachelors degree from an accredited university or college in computer science
  • 2+ years Data mining experience
  • 2+ years in a data analyst role or related field
  • Excellent Maths
  • Experience with Power Point / GAAP / POS / SQL / Advanced Excel skills
  • Ability to collaborate effectively and work as part of a team
  • Strong attention to detail
  • Ability to work with stakeholders to assess potential risks
  • Ability to analyse existing tools and databases and provide software solution recommendations
  • Ability to translate business requirements into non-technical, lay terms
  • High-level experience in methodologies and processes for managing large scale databases
  • Demonstrated experience in handling large data sets and relational databases
  • Understanding of addressing and metadata standards
  • High-level written and verbal communication skills
  • Ability to work within deadlines
  • RESPONSIBILITIES

  • Use statistical methods to analyse data and generate useful business reports
  • Work with management team to create a prioritized list of needs for each business segment
  • Identify and recommend new ways to save money by streamlining business processes
  • Use data to create models that depict trends in the consumer population as a whole
  • Work with departmental managers to outline the specific data needs for each business method analysis project
  • Provide quality assurance of imported data
  • Commissioning and decommissioning of data sets
  • Processing confidential data and information according to guidelines
  • Helping develop reports and analysis.
  • Managing and designing the reporting environment, including data sources, security, and metadata
  • Supporting the data warehouse in identifying and revising reporting requirements
  • Supporting initiatives for data integrity and normalization
  • Generating reports from single or multiple systems
  • Troubleshooting the reporting database environment and reports
  • Evaluating changes and updates to source production systems
  • Training end users on new reports and dashboards
  • Data mining
  • Providing technical expertise on data storage structures, data mining, and data cleansing
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