Company:
QT Technologies Ireland Limited
Job Area:
Miscellaneous Group, Miscellaneous Group > Data Analyst
General Summary:
We are seeking a highly skilled Data Analyst with a strong background in statistics and experience handling large datasets and big data environments. The successful candidate will be responsible for analyzing complex datasets, identifying trends, and generating actionable insights. They will use advanced statistical methods and data visualization techniques to create infographics and reports that clearly communicate findings to both technical and non-technical stakeholders.
Key Responsibilities
1. Big Data Analysis: Work with massive datasets from various sources (structured and unstructured) in big data environments, such as Hadoop, Spark, or NoSQL databases. Analyze data to uncover trends, patterns, and insights that drive business decisions.
2. Statistical Analysis: Apply advanced statistical techniques (e.g., regression analysis, hypothesis testing, time-series forecasting, etc.) to interpret data, validate results, and develop predictive models that support decision-making. Provide statistical support for A/B testing and experimental design.
3. Data Wrangling & Processing: Clean, preprocess, and transform large-scale datasets for analysis, ensuring accuracy and consistency. Implement data pipelines and ETL processes to manage and aggregate data from different sources using tools like SQL, Python, or R.
4. Visualization & Infographics: Create compelling data visualizations, dashboards, and infographics to summarize key insights, using tools like Plotly, Tableau, Power BI, or D3.js. Ensure data-driven stories are visually engaging and accessible to both technical and non-technical audiences.
5. Data Reporting & Insights: Deliver detailed reports and presentations to stakeholders, highlighting key findings from data analysis. Translate complex data into understandable insights to guide business strategy, marketing efforts, and operational improvements.
6. Collaboration with Data Engineering: Work closely with data engineering teams to ensure that the infrastructure for data collection, storage, and analysis is optimized for scale and efficiency. Collaborate on the design of scalable data models that support deep analytics.
7. Big Data Tooling: Leverage big data processing frameworks such as Apache Spark, Hadoop, and Kafka to manage and analyze large datasets efficiently. Utilize cloud-based data solutions (e.g., AWS, Azure, or Google Cloud) for scalable storage and compute resources.
8. Collaboration with HQ: Work closely with global teams, ensuring alignment of data practices and insights across the organization, leveraging being in EMEA timezone. Provide data-driven recommendations to influence strategic decision-making at the regional and global levels.
Requirements
1. 3+ years of experience in data analysis, with strong expertise in statistics, big data, and data visualization.
2. Proficiency in handling large datasets using tools like SQL, Python, R, and big data platforms such as Hadoop or Apache Spark.
3. Strong knowledge of statistical analysis methods (e.g., hypothesis testing, regression models, predictive modeling) and experience applying them in real-world datasets.
4. Expertise in creating data visualizations and infographics using tools such as Tableau, Power BI, or D3.js.
5. Hands-on experience with ETL processes, data wrangling, and building scalable data pipelines.
6. Hands-on experience doing exploratory data analysis with Python.
7. Strong communication skills with the ability to explain technical results to non-technical stakeholders.
8. Experience in working with cloud-based data ecosystems (e.g., AWS, Google Cloud, Azure).
Where you will be working
Cork has a proud reputation as Ireland's second largest economic engine and is now one of the Top 20 location choices in Europe with 39,000 people being employed by over 170 overseas companies.
There's a growing diversity in the region with people from many nationalities relocating to Cork, relishing the opportunity to work and live in a location that offers an excellent quality of life.
A gateway to Europe, Cork airport provides access to almost 50 international destinations including transatlantic air routes.
Equal Opportunities
We are an Equal Opportunity employer; all qualified applicants will receive consideration for employment without regard to race, colour, religion, sexual orientation, gender identity, national origin, disability, veteran status, or any protected classification.
What's on Offer
* Salary, stock and performance related bonus
* Maternity/Paternity Leave
* Employee stock purchase scheme
* Matching pension scheme
* Education Assistance
* Relocation and immigration support (if needed)
* Life, Medical, Income and Travel Insurance
* Subsidised memberships for physical and mental well-being
* Bicycle purchase scheme
* Employee run clubs, including, running, football, chess, badminton + many more
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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