Job Opening Example: Data Analyst
Are you looking for a data analyst who can help your organization make smart, data-driven decisions? With our example job description, you can effortlessly attract the right candidate. Think of someone with sharp analytical skills, in-depth technical knowledge, and well-developed business acumen. Use this sample job posting as a solid foundation and easily tailor it to your specific needs. That way, you’ll quickly find an experienced data analyst who will strengthen your team and truly make a difference.
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Want to learn more about roles in this field? Check out the overview of all careers in data and analytics.
Data analyst
[Company Name]
We are a leading and innovative technology company, specializing in delivering advanced data analysis and business intelligence solutions to organizations in various sectors. Using data, we transform complex challenges into clear insights that lead to better strategic decisions.
Vacancy: Data Analyst
Are you a data-driven thinker with a passion for discovering patterns, solving problems, and delivering impactful insights? Then we are looking for you! To expand our team, we are seeking a Data Analyst with strong analytical skills, excellent communication, and a hands-on mentality.
Your role as a Data Analyst:
- Collect, transform, and validate datasets from various internal and external sources.
- Develop and apply statistical and machine learning models to identify trends, opportunities, and risks.
- Visualize and present insights via dashboards and reports using tools such as Power BI, Tableau, or Looker.
- Work on data-driven projects in collaboration with stakeholders from IT, operations, marketing, finance, and other departments.
- Actively contribute to improving data quality, data structures, and data governance within the organization.
- Identify new opportunities in data science, AI, and predictive analytics that can add value.
What we ask of you:
- Completed bachelor’s or master’s degree in a quantitative field such as Data Science, Computer Science, Econometrics, Statistics, or a related discipline.
- At least 2 years of work experience as a Data Analyst, BI Analyst, or a similar position in a data-driven environment.
- Excellent knowledge of Python and/or R, SQL, and experience with data processing libraries like Pandas, NumPy, Scikit-learn.
- Familiarity with data visualization tools (such as Tableau, Power BI, or Looker) and building interactive dashboards.
- Affinity with cloud environments such as AWS, Azure, or Google Cloud is a plus.
- Strong analytical skills, curious, precise, and able to work independently and as part of a team.
- You are communicative and able to clearly translate complex analyses into concrete recommendations.
What we offer you:
- A challenging position with plenty of room for initiative and personal development.
- An inspiring work environment in a dynamic and growing company.
- A competitive salary, including a performance-based bonus scheme.
- Extensive training and development opportunities through our Learning & Development program.
- Flexible working hours and the option to work partially from home.
- A company laptop and phone, travel allowance, and pension scheme.
- Fun team activities, hackathons, and knowledge sessions.
Application procedure:
Do you recognize yourself in this profile and want to boost your career as a Data Analyst at [Company Name]? Then apply now by sending your CV and motivation to [email address], stating the reference code DA-001.
The application process includes a phone introduction, an (online) interview, and a case or technical assignment. You will receive a response from us within two weeks. We value an inclusive work environment where everyone can be themselves. That’s why we encourage everyone to apply, regardless of background, gender, or age.
Application deadline:
Apply no later than [application deadline]. We review applications in the order they are received, so don’t wait too long!
Questions?
Feel free to contact [contact person] via [phone number] or [email address] if you have questions about the position or the procedure. We look forward to receiving your application!
