Urgent

Data Analyst

Full time Bankprofile
  • Post Date: February 6, 2024
  • Apply Before : March 2, 2024
  • Salary: Negotiable
  • Applications 7
  • View(s) 761
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Job Detail

  • Career Level Officer
  • Experience 2 Years
  • Gender N/A
  • Industry Banking
  • Qualifications Degree Bachelor

Job Description

Qualifications/Experience

  • Bachelor’s degree in Data Analytics, Mathematics, Financial Engineering, Computer Science, Information Management or Statistics.
  • Data analytics certifications will be an added advantage.
  • Experience using tools such as SQL, Microsoft PowerBI, Tableau, Python, Jupyter Notebooks and Microsoft Excel.
  • A minimum of 2 years working experience as a Data Analyst, Business Analyst, Financial Analyst or a related field.

KEY RESULT AREAS

  • Work with data scientists to identify opportunities for improvement.
  • Analyze, interpret and present data in visual format that conveys useful insights, that are easily understood and actionable e.g. Dashboards.
  • Collaborate with different team members to collect and analyze data.
  • Establish KPIs to measure the effectiveness of business and business decisions.
  • Continuously review and identify data integrity issues that may require cleansing.
  • Create presentations and reports based on recommendations and findings.
  • Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
  • Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.
  • Assess new and emerging technologies to ensure existing tools and techniques remain relevant in performing this role.

TECHNICAL EXPERTISE

  • Can use data mining techniques in discovering patterns in large quantities of data for further analysis and to reach sound conclusions.
  • Conducts high quality and honest analysis of information and data to aid in problem solving.
  • Execution of data preparation, validation, profiling, auditing and data cleansing
    activities.
  • Explore, Interpret and analyse data using statistical tools and techniques Working knowledge of data analysis and visualization tools.
  • Significant attention to detail and an ability to quickly spot and fix problems.
  • Understands that different situations may call for different skills and approaches, works to strengths and compensates for weaknesses.
  • Knows what to measure and how to measure so that complex processes can be refined, and more can be achieved with fewer resources.

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