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Business Intelligence Data Analyst

Job Description

As a Business Intelligence Data Analyst, you will be a valued member of the company’s Data Analytics team whose main role is developing BI solutions as well as providing data analysis services to various internal stakeholders (Sales, Product Development, Finance, Customer Support, Risks, Engineering, etc.).

Main Duties & Responsibilities:

  • Support internal stakeholders with appropriate data analysis and help them make really data-driven decisions
  • Work closely with internal stakeholders and – where it is possible - automate analytics by setting up ETL processes, building new dashboards and reports in Business Intelligence tools
  • Improve existing dashboards, reports, and data transformations
  • Present data and findings in clear, easy to digest way

Requirements:

  • University degree preferably in computer sciences, mathematics, or other exact sciences
  • At least 2 years’ experience in data analysis and building content in some BI tool (Tableau, Power BI, Qlik, or similar)
  • Ability to demonstrate creative thinking and passion about data and data analysis
  • Ability to be careful and thorough about details
  • Experience in writing queries in SQL
  • Willingness to acquire additional technical skills where it can help to make work more efficient
  • Ability to communicate fluently in English both verbally and in writing

Nice to have skills:

  • Knowledge of scripting/programming languages (e.g., Python)
  • Previous experience in work with large amounts of data

We offer:

  • Gross monthly salary from 2280 EUR to 4000 EUR;
  • Dynamic work in a successful, growing, international company
  • Possibility to work with really Big Data and various tools and technologies (Tableau, Amazon Athena, and other technologies in AWS, MS SQL, PostgreSQL, ClickHouse, Apache Superset, Python, GitLab, etc.)
  • Friendly, helpful colleagues

 

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Average salary estimate

$37680 / YEARLY (est.)
min
max
$27360K
$48000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Business Intelligence Data Analyst, Evolution

Are you ready to dive into the fascinating world of data? As a Business Intelligence Data Analyst at our dynamic company based in Riga, Latvia, you’ll play an essential role in shaping data-driven decisions for various internal teams, including Sales, Product Development, and Engineering. Your main mission? Deliver innovative BI solutions and data analysis services that help stakeholders make smart, informed choices. With a flair for creating insightful dashboards and reports using tools like Tableau or Power BI, you'll automate analytics and enhance existing data processes. If you have a university degree in computer sciences or a related field and at least two years of experience in data analysis, this position might be just for you! Your ability to communicate findings clearly and thoughtfully will ensure that data is easily digestible for all teams. We're looking for someone detail-oriented who’s driven by a passion for data. Join us to work with cutting-edge technologies and tackle really Big Data while being part of a supportive and friendly team. Let’s harness the power of data together!

Frequently Asked Questions (FAQs) for Business Intelligence Data Analyst Role at Evolution
What are the main responsibilities of a Business Intelligence Data Analyst at your company?

As a Business Intelligence Data Analyst at our company, your responsibilities will include supporting internal stakeholders by providing insightful data analysis to help them make data-driven decisions. You will work closely with various teams to develop and automate analytics processes, create and improve dashboards and reports in BI tools, and present findings in an accessible manner.

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What qualifications are needed to apply for the Business Intelligence Data Analyst position?

To apply for the Business Intelligence Data Analyst position, candidates should possess a university degree, preferably in computer sciences, mathematics, or a related field. Additionally, applicants should have a minimum of two years of experience in data analysis and BI tools, along with strong SQL query writing skills.

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What tools and technologies will a Business Intelligence Data Analyst work with at your company?

As a Business Intelligence Data Analyst at our company, you’ll work with various technologies including Tableau, Amazon Athena, MS SQL, PostgreSQL, ClickHouse, and Apache Superset, among others. This role offers the opportunity to engage with Big Data and explore new tools and programming languages like Python.

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How important is experience in SQL for the Business Intelligence Data Analyst role?

Experience in SQL is crucial for the Business Intelligence Data Analyst role, as you will need to write complex queries to extract and manipulate data effectively. Proficiency in SQL enables you to streamline data processes and provide valuable insights to various stakeholders.

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What salary range can a candidate expect for the Business Intelligence Data Analyst position?

Candidates applying for the Business Intelligence Data Analyst position can expect a gross monthly salary ranging from 2280 EUR to 4000 EUR, depending on their experience and qualifications. This competitive salary reflects our commitment to attracting top talent.

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Common Interview Questions for Business Intelligence Data Analyst
Can you describe your experience with Business Intelligence tools?

In your answer, highlight the specific BI tools you have used, such as Tableau or Power BI. Discuss how you’ve leveraged these tools to create dashboards, automate reports, or analyze data, showcasing your analytical skills and technical knowledge.

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How do you ensure data accuracy and integrity in your analysis?

Discuss the strategies you employ to maintain data quality, such as validating sources, using checks and balances in your ETL processes, and continuous monitoring of reports. Demonstrating your attention to detail will be very important to your interviewer.

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Tell me about a time when your analysis influenced a business decision.

Provide a specific example that highlights your analytical skills and the impact of your work. Describe the challenge, your analysis process, and how the findings drove a successful decision within a team or department.

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What techniques do you use to communicate your findings to stakeholders?

Mention various techniques such as creating visual dashboards, presenting data stories, and providing insights in layman’s terms. Emphasize the importance of tailoring your communication style to different audiences.

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How do you approach automating analytics processes?

Talk about your experience in setting up ETL processes and creating automated dashboards. Illustrate your ability to streamline workflows, reduce manual tasks, and improve efficiency through automation.

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What challenges have you faced when handling large datasets?

Discuss a specific challenge, such as performance issues or data cleaning. Share your approach to overcoming these challenges, such as optimizing queries or using efficient data storage solutions.

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What programming languages do you have experience with, and how do they aid your data analysis?

If you have experience with languages like Python, discuss how you've utilized them for data manipulation, analysis, or automation. Mention any libraries or frameworks that you’ve found particularly useful in your analyses.

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How do you stay updated on trends in data analytics and BI tools?

Share how you follow industry news, participate in forums, or take online courses. Highlight any resources you find valuable for professional development in the field of data analytics.

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Describe your experience with SQL. What types of queries are you most comfortable writing?

Talk about your SQL experience, including simple queries, joins, subqueries, and aggregations. Explain how you've used SQL to gain insights from structured data and how your proficiency aids in your data analysis tasks.

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How would you define success in the Business Intelligence Data Analyst role?

Share your perspective on success in this role, including delivering clear, actionable insights, enhancing existing BI processes, and fostering strong relationships with stakeholders. Discuss how success ultimately translates to positive business outcomes.

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DATE POSTED
January 13, 2025

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