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Data Analyst

Company Description

ApprovalMax is award-winning B2B software used by businesses around the world to approve bills and expenses. It streamlines the approval process for decision makers by replacing paper and email approvals with automated workflows. ApprovalMax integrates with platforms such as Xero, QuickBooks Online and Oracle NetSuite to unlock powerful efficiencies for approvers and finance teams. The company is globally recognised and has won’ Xero App Partner of the Year’ four times since 2020 in different countries.

Job Description

We are looking for a Data analyst to join our team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.

We are a really fast growing and dynamic company so there will be no chance to get bored. 
 

Key Responsibilities

Data Analysis:

  • Work with a big amount of data from different sources.

  • Perform exploratory data analysis to understand data structure and identify patterns.

  • Develop economical models.

  • Evaluate model performance using various metrics and techniques.

  • Develop and maintain data pipelines for efficient data ingestion and processing (including external data sources like web sites, 3rd party APIs etc.).

  • Understand and be ready to implement basic data concepts.

  • Conduct A/B tests.

Analytics Results & Reporting:

  • Create clear and concise reports and prepare research results to communicate data insights.

  • Prepare regular reports and presentations to communicate findings and recommendations.

  • Ensure that reports effectively convey key findings and are easily understandable by non-technical stakeholders.

  • Translate complex data insights into actionable business recommendations.

Collaboration:

  • Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.

  • Be a strong team player with the ability to share your experience within the team.

  • Contribute to the improvement of data analytics processes and methodologies within the organization.

 

Qualifications

Technical Skills:

  • Proficient in SQL & Python (Pandas, NumPy, Scikit-learn, etc.)

  • Power BI experience is a plus.

  • Proficient using version control systems (e.g., Git).

Continuous Learning and Improvement:

  • Stay updated on the latest developments in data analytics.

  • Participate in professional development activities, workshops, and training programs.

 

This role requires a strong attention to detail and the ability to work both independently and as part of a team.

The successful candidate will be expected to contribute to the development and implementation of data-driven strategies that enhance organizational performance.

 

English B2+ is a must!

Additional Information

This role is:

  • Full-time and permanent.

We offer:

  • Growing international business with 10,000+ subscribers
  • Regular performance-based compensation reviews.

  • 100% paid 20 business vacation days.

  • 100% paid 10 sick leave days.

  • Flexible hours.

  • Remote work.

  • Health & Wellness program - a bonus payment, which will cover 50% up to a total of 500 Euro annually of the amount spent on the following activities: medical services (except regular health insurance), fitness, sports activities (excluding sports equipment), stress management, body massage, weight management, yoga, traveling, etc.

  • Reimbursement of co-working space.

  • Reimbursement of professional development courses.

  • Service years recognition financial reward.

  • Parental leave support.

What You Should Know About Data Analyst, ApprovalMax Limited

At ApprovalMax, we're looking for a talented Data Analyst to join our dynamic team in Belgrade, Serbia. As a key player in our fast-paced environment, you'll manage our master data set, craft insightful reports, and help troubleshoot any data issues that arise. Imagine diving into extensive data sets from different sources, performing exploratory analysis to uncover hidden patterns, and developing economical models that push our analytics to the next level. You’ll have the opportunity to create clear reports that communicate your findings to our team and beyond, ensuring that even non-technical stakeholders understand the key insights you provide. Collaboration is at the heart of what we do, and as a Data Analyst, you will work alongside cross-functional teams, sharing your expertise to drive data-driven solutions and improve our analytics processes. With a focus on continuous learning, you will stay updated on the latest trends in data analytics, align your skills with tools like SQL and Python, and potentially engage with Power BI. If you're excited about the prospect of making a real impact in a globally recognized company, then ApprovalMax is the place for you to grow and thrive. Join us in revolutionizing the approval process for businesses around the world!

Frequently Asked Questions (FAQs) for Data Analyst Role at ApprovalMax Limited
What are the responsibilities of a Data Analyst at ApprovalMax?

As a Data Analyst at ApprovalMax, your key responsibilities will include managing our master data set, performing exploratory data analysis, developing economic models, and creating reports that effectively communicate data insights. You will be engaging with various data sources, conducting A/B tests, and collaborating with cross-functional teams to ensure data-driven solutions meet business needs.

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What qualifications does ApprovalMax require for the Data Analyst position?

To be considered for the Data Analyst position at ApprovalMax, you should be proficient in SQL and Python, with experience in data analysis tools and databases. A strong attention to detail, ability to work independently and collaboratively, and a B2+ level of English are essential. Familiarity with Power BI and version control systems like Git will be advantageous.

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How does ApprovalMax support the professional development of its Data Analysts?

ApprovalMax is committed to the professional growth of its Data Analysts. We offer opportunities for continuous learning through workshops, training programs, and reimbursement for professional development courses. You're encouraged to stay updated on the latest data analytics trends to enhance your skills and contribute to our team's success.

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What kind of work environment can a Data Analyst expect at ApprovalMax?

At ApprovalMax, Data Analysts can expect a flexible and supportive work environment. We offer remote work options, flexible hours, and a health & wellness program that covers activities related to fitness and stress management, allowing you to maintain a healthy work-life balance.

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What is the performance review process like for Data Analysts at ApprovalMax?

Data Analysts at ApprovalMax benefit from regular performance-based compensation reviews. This ensures that your contributions are recognized and rewarded, providing clear paths for career advancement and salary growth within the company.

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Common Interview Questions for Data Analyst
Can you describe your experience with SQL and how you've used it in data analysis?

In answering this question, highlight your specific experiences using SQL for data extraction, data manipulation, and creating reports. Discuss the types of projects you've worked on where SQL played a crucial role and any challenges you overcame while using it.

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What data analysis tools are you most proficient in, and how do they enhance your work?

Discuss the specific tools you excel at, like Python libraries (Pandas, NumPy, etc.) and data visualization tools such as Power BI. Explain how these tools assist in data cleaning, analysis, and presenting actionable insights clearly and effectively.

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How do you approach exploratory data analysis?

When addressing this question, outline your systematic approach to EDA. Talk about how you identify patterns, visualize data, and derive insights that can inform business strategies, creating a narrative from the data.

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Can you give an example of a complex data problem you solved?

Provide a specific instance where you encountered a complex data issue, the steps you took to address it, and the outcome. Focus on your analytical thinking and problem-solving skills throughout the process.

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What methods do you use to ensure the accuracy of your reports?

Talk about the validation techniques you employ to check data accuracy, like verifying data sources, conducting error checks, and peer reviews. Mention how these practices enhance the reliability of your reports.

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How do you communicate your findings to non-technical stakeholders?

Emphasize the importance of translating complex data insights into clear, actionable recommendations. Share techniques like using visuals, simplified language, and engaging storytelling to help non-technical stakeholders grasp the insights.

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What experience do you have with A/B testing?

Talk about the instances where you've implemented A/B tests, explaining your process for setting up experiments, analyzing results, and making data-driven decisions based on findings. Highlight successfully applied scenarios.

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How do you prioritize projects when managing multiple data tasks?

Discuss your strategies for project management, such as utilizing prioritization matrices, defining project deadlines, and maintaining open communication with stakeholders to ensure timely delivery and focus on high-impact projects.

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What steps do you take to stay updated with the latest trends in data analytics?

Mention your dedication to continuous learning. Share the resources you utilize, such as online courses, blogs, webinars, and conferences related to data analytics, to stay current with the industry changes and advancements.

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What do you enjoy most about being a Data Analyst?

Share your passion for data analysis, focusing on the excitement of discovering insights that can drive business decisions, collaboration with different teams, and continuous learning in the ever-evolving field of data.

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Full-time, remote
DATE POSTED
January 13, 2025

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