Technical BA/ Data Analyst:

4 weeks ago

Limerick, Limerick, Ireland Solutions Full time

Join to apply for the Technical BA/ Data Analyst: role at Solutions

Location: Limerick or Dublin

Hybrid

One of our large financial clients is looking for a Data Analyst for Data Mesh/Derivatives Data Modernization/Cloud Enablement program who is self-motivated, creative and proactive, to work successfully in a fast-paced environment including multiple platforms, architectures, and diverse technologies. The individual will work closely with various stakeholders throughout the software development lifecycle. The individual should have a strong understanding of agile processes and will be responsible for collaborating closely with cross-functional teams to elicit, analyze, and refine user requirements.

Responsibilities

  • Analyse complex business problems and identify potential solutions.
  • Develop and implement solutions to complex problems.
  • Translate requirements into clear user stories and acceptance criteria within an iterative development process.
    • Data Collection and Cleaning:
      • Gathering data from multiple sources, cleaning and structuring it to ensure accuracy and quality for analysis.
      • Analyze data from science, engineering, business, and other sources.
    • Exploratory Data Analysis (EDA):
      • Investigating data to discover patterns, relationships, and anomalies through statistical techniques.
    • Report Generation:
      • Developing and presenting comprehensive reports with key findings and actionable recommendations to stakeholders.
    • Data Visualization:
      • Creating compelling visual representations of data using charts, graphs, and dashboards to communicate insights clearly.
      • Applying statistical methods to interpret data and extract meaningful insights.
        • Agile Ceremonies:
          • Facilitate sprint planning meetings to define sprint goals and user stories.
          • Participate in daily stand-ups to track progress and identify potential roadblocks.
          • Contribute to sprint retrospectives to identify areas for improvement.
          • Actively participate in backlog grooming sessions to refine and prioritize user stories.
        • Communication & Collaboration:
          • Effectively communicate business requirements to the development team and stakeholders.
          • Act as a bridge between business and technical teams to ensure alignment.
          • Work with different departments to understand their data needs and translate analysis into business solutions.
            • Collaborate with the Scrum Master to manage the agile process and resolve impediments.
            • Collaborate with the Product Owner to maintain a well-structured and prioritized product backlog.

Required Skills

  • Great analytical, critical thinking and problem-solving abilities.
  • Data analysis, Process modeling, SQL, User Acceptance Testing (UAT), and Regression Testing.
  • Adaptable and capable of working in fast-paced environments.
  • Five or more years of experience in a Technical Business or Data Analyst role.
    • Agile Methodology:
      • Deep understanding of Agile principles, practices (Scrum, Kanban), and tools.
    • Requirement Analysis:
      • Proven ability to elicit, analyze, and document complex business requirements.
        • User Story Writing: Excellent skills in crafting clear, concise, and well-defined user stories with acceptance criteria.
      • Communication & Collaboration:
        • Excellent written and verbal communication skills.
        • Strong interpersonal skills to effectively collaborate with diverse teams and stakeholders.
        • Effectively presenting complex data insights to both technical and non-technical audiences.
        • Superior presentation, negotiation, strong management and organizational skills.
        • Technical Skills: Proficiency in SQL, data manipulation tools (Excel, Python, Alteryx or any ETL tools), data visualization software (Power BI, Sigma, or Tableau), Databases Sql server, Oracle, Azure or Snowflake.
        • Statistical Knowledge: Understanding of statistical concepts like hypothesis testing, regression analysis, and probability.
        • Analytical Thinking: Ability to identify patterns, trends, and relationships within complex datasets.
        • Problem-Solving: Identifying issues within data and proposing solutions to address them.
        • Attention to Detail: Ensuring data accuracy and consistency throughout the analysis process.
        • Technical Knowledge: Basic understanding of software development technologies and processes.

Education

  • Bachelor's degree in a relevant field such as business, finance, information technology, or a related discipline.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Business Development and Sales

Industries: Data Infrastructure and Analytics

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