ACPM - Data Analyst for Reconciliations

As a Data Analyst for Reconciliations at ACPM, your main responsibilities will include extracting and processing large volumes of data, generating insightful reports, and ensuring accurate reconciliations. You’ll leverage tools like Python and Pyspark for data manipulation, while also utilizing QlikSense or Power BI for data visualization to help stakeholders understand the analytics.

To qualify for the Data Analyst for Reconciliations position at ACPM, candidates should have a bachelor's degree or an equivalent qualification, alongside at least two years of experience in a Data Analyst role. Proficiency in data processing tools such as Python and Pyspark, as well as visualization tools like QlikSense or Power BI, is essential. An intermediate level of English (B2) is also required.

Data Analysts at ACPM typically utilize tools such as Python and Pyspark for large data processing tasks. Additionally, they make use of data visualization tools like QlikSense or Power BI to create interactive and insightful reports, aiding in better decision-making across projects.

Yes, experience in Agile methodologies is highly valued for the Data Analyst for Reconciliations position at ACPM. Familiarity with Scrum or Kanban practices will enable you to work effectively within cross-functional teams and adapt to changing project needs rapidly.

The expected start date for the Data Analyst for Reconciliations position at ACPM is 01/04/2025. This allows you ample time to prepare to join our innovative team and embark on an exciting journey in the world of data!

When answering this question, elaborate on specific tools you’ve used, such as Python or Pyspark, and provide examples of projects where you’ve successfully extracted and manipulated data. Highlight your approach to ensuring data integrity and accuracy in your work.

In your response, detail the steps you take for reconciling data. Discuss how you identify discrepancies, the tools you utilize, and any techniques you employ to ensure all data is accurate and consistent across different platforms.

Be specific about the tools you’ve used, like QlikSense or Power BI. Discuss the types of reports you’ve created, how you chose the right visuals for the data, and the impact those visuals had on decision-making for stakeholders.

This is your chance to showcase your problem-solving skills. Select a project where you faced significant challenges, explain the obstacles, your approach to overcoming them, and the positive outcome that resulted from your efforts.

Discuss specific resources you utilize, such as online courses, webinars, or data analytics communities. Share how continuing education has positively impacted your skills and how you integrate new knowledge into your work.

Provide insights into key performance indicators (KPIs) you've tracked in past roles. Explain how these metrics help inform business decisions and improve project outcomes.

Identify whether you've used Scrum or Kanban and discuss how you’ve integrated these methodologies into your work process. Talk about the advantages and any improvements in project delivery you've observed.

Mention specific validation techniques you apply to ensure data accuracy, such as double-checking data sources, performing sanity checks, and using statistical methods to verify data integrity.

Emphasize your ability to simplify complex data into understandable insights. Share specific methods you use, such as storytelling techniques or creating user-friendly visualizations.

Reflect on your passion for data analysis and the unique opportunities at ACPM. Discuss how the company’s commitment to innovation or collaborative work aligns with your professional goals and aspirations.