Operational ISA Analyst

5 days ago


Midrand, Gauteng, South Africa Fidelity Services Group Full time

Overall Purpose of the Job: The overall purpose of this position is to liaise with the ISA team and support systems to ensure accurate information being presented to the financial institutions.

Minimum Qualifications and Experience:

  • Post Matric Qualification Grade 12 (minimum)
  • Knowledge of banking industry processes. Banking certification would be an advantage
  • 2 years of proven track record of working as an Analyst on projects
  • Strong quantitative abilities
  • Proficiency in Microsoft Office programs, such as Excel and PowerPoint
  • Excellent analytical, multi-tasking, organizational and project management skills.
  • Solid communication (oral and written) and interpersonal skills required to interact with colleagues and clients both at a high-level and at a detailed level.
  • Keen interest in understanding new technologies and solving problems.
  • Ability to play an integral part in project delivery given tight constraints and uncompromising quality
  • Effective presentation, documentation and report writing skills.
  • Professional and well presented at all times
  • Ability to work under pressure and for extended hours, if required
  • Must be prepared to travel

Main Duties:

  • Data Collection: Gathering and collecting data from various sources, including databases, spreadsheets, and external data sets.
  • Data Cleaning: Cleaning and preprocessing data to ensure accuracy and consistency.
  • Data Analysis: Using statistical and analytical tools to analyze data and extract meaningful insights.
  • Data Visualization: Creating visual representations of data, such as charts and graphs, to communicate findings effectively.
  • Report Generation: Generating reports and presenting findings to stakeholders or clients.
  • Data Interpretation: Interpreting data to identify trends, patterns, and opportunities for improvement or optimization.
  • Data Modeling: Building statistical models or predictive models to make data-driven decisions.
  • Data Quality Assurance: Ensuring data accuracy and reliability through quality checks and validation.
  • Collaborating: Working with cross-functional teams to understand business needs and provide data-driven solutions.
  • Tools and Software: Proficiency in data analysis tools like Excel, SQL, Python, R, and data visualization tools such as Tableau or Power BI.
  • Continuous Learning: Staying updated on industry trends and new data analysis techniques.
  • Communication Skills: Effective communication to convey complex data insights to non-technical stakeholders.
  • Problem Solving: Identifying and solving data-related challenges and issues.

Behavioral Competencies:

  • Excellent verbal & written communication skills
  • Excellent customer service skills
  • Analytical thinking
  • Computer literate
  • Adaptability
  • Motivation
  • Negotiation
  • Persuasiveness
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