TMF Group

Data Analyst

Job description

Role profile

Purpose of the role

The purpose of this role is to analyze large datasets from various digital platforms utilized within TMF Digital Operations. The goal is to distill these datasets into valuable insights, empowering stakeholders to leverage this intelligence for strategizing and executing the next best action.

Key Functions And Responsibilities

  • Understanding Business processes and existing ecosystem
  • Understand Business KPIs, metrics and their calculations
  • Analyze, understand, and model data being used in the process
  • Perform Descriptive and Diagnostic analysis on datasets
  • Identify key insights, relations from data in the context of the Business scenario
  • Share analysis with Business users
  • Work collaboratively with Business users and others in team to deliver insights in an agile manner
  • Ownership of data quality and identification of potential enhancements
  • Ensure process compliance

Competencies And Skills

The technical skills required for this role are good understanding of database principles and SQL. Ability to support conclusions with analytical evidence using descriptive and inferential statistics. Knowledge of tools like Alteryx will be an added advantage.

Soft skills required include analytical mindset, problem solving ability, excellent verbal and written communication skills, ability to work in a collaborative environment.

Experience And Qualifications

  • Have a passion for data analysis and drawing insights from data
  • Has a strong problem solving and analytical mindset
  • Ability to interpret & ask questions to understand business requirements, to ensure successful business outcomes
  • Motivation to understand business processes and data platforms to design/deliver scalable data solutions to support customer needs
  • Good understanding of database principles and SQL, to perform complex analysis
  • Ensure the consistency and quality of data solutions completed by the engineering team
  • Ability to learn new software and technologies quickly & intuitively
  • Ability to follow instructions and work in a team environment, adapting to situation & need
  • Ability to operate using Agile Methodology and DevOps tools, to coordinate, deliver & track work
  • Can work independently under limited supervision & apply subject knowledge in Data Analysis
  • Self-motivated and able to proactively learn good practice through research, peer Q&A & experiments
  • Appreciation of business case fundamentals an advantage, to contribute throughout solution lifecycle
  • Excellent verbal and written communication skills with the ability to effectively advocate solutions to engineering teams and business stakeholders
  • Strong interpersonal skills and ability to work in a collaborative environment
  • Able to support conclusions with analytical evidence using descriptive stats and inferential stats

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