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    • Collaborate with data engineers and other teams to ensure data accuracy, accessibility, and consistency.
    • If you have a passion for data storytelling, strong…
    • Proven data problem-solving skills & data modeling experience with the ability to interpret large data sets and extract key insights, with experience in search…
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    • Experience using Python or similar scripting languages for automation, statistical analysis, data cleaning, or API integrations.
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    • Experience using Python or similar scripting languages for automation, statistical analysis, data cleaning, or API integrations.
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    • Bachelor's degree (or higher) in a quantitative, business, or related field, or equivalent professional experience.
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    • Bachelor's degree or equivalent professional experience.
    • Proven experience in financial modeling, including actuarial systems or insurance pricing tools.
    • Demonstrable experience or knowledge of cloud-based data analytics e.g. (AWS, Azure, Snowflake).
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    • Proven experience in data analytics or business intelligence roles, delivering analysis and reporting that supports business or operational decision making.
    • Experience with SAP or other ERP systems.
    • Comfortable working with large volumes of financial data and complex reporting requirements.
    • Proven experience supporting healthcare data and reporting environments.
    • Resolve data quality issues across source systems and downstream reporting layers.
    • Ø Experience analysing operational or logistics data alongside financial information is desirable.
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Job Post Details

Data Analyst - job post

Holafly
4.2 out of 5 stars
Dublin, County Dublin•Remote
You must create an Indeed account before continuing to the company website to apply

Benefits

Pulled from the full job description

  • Annual leave

Full job description

Company Overview

Holafly is a high-growth scale-up revolutionising how businesses and travellers connect to the internet abroad. Since 2018, we’ve empowered travellers in over 200 destinations worldwide with secure and reliable eSIM solutions. With a team of 500+ professionals across multiple countries, we are scaling globally to support travellers with seamless, unlimited data connectivity.

We’re not just connecting people—we’re enabling freedom and peace of mind, ensuring our users stay connected from the second they land, wherever their journey takes them.

About the Role:

We are seeking a highly analytical and detail-oriented Data Analyst to join our team. In this role, you will be responsible for transforming complex data into understandable and conclusive insights. You will play a key role in training different business areas on the effective use of our Business Intelligence (BI) tools and advising them on how to maximize the value derived from our data. If you have a passion for data storytelling, strong communication skills, and enjoy empowering others with data, we encourage you to apply.

Responsibilities:

  • Collect, clean, analyse, and interpret large datasets to identify trends, patterns, and insights.

  • Create clear, concise, and impactful visualisations, reports, and dashboards that effectively communicate findings to various stakeholders.

  • Develop and deliver training sessions to educate different business units on the functionality and best practices of BI tools.

  • Provide expert advice and guidance to the business area on how to leverage data to answer key business questions and drive informed decision-making.

  • Collaborate with data engineers and other teams to ensure data accuracy, accessibility, and consistency.

  • Identify opportunities for process improvements and data optimisation.

  • Stay up-to-date with industry best practices and emerging trends in data analysis, BI tools, and data visualisation.

Qualifications:

  • Proven experience as a Data Analyst or in a similar analytical role.

  • Strong proficiency in SQL.

  • Extensive experience with Business Intelligence (BI) tools (e.g., Looker Studio, Looker, Tableau, Power BI, Qlik Sense).

  • Excellent data visualization skills and the ability to present complex information clearly and concisely.

  • Strong analytical, problem-solving, and critical thinking abilities.

  • Exceptional communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.

  • Ability to work independently and collaboratively in a fast-paced environment.

  • Detail-oriented with a strong commitment to data accuracy and integrity.

  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a Business related discipline.

Benefits & Perks

  • 25 Days of PTO

  • 5% pension contribution

  • € 3000 for Medical/Health coverage

  • Self development budget of $ 500

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