Data Analyst Job Description

Data Analyst Job Description

Job Title

Data Analyst

To help you :
✅ A clear, concise sentence to describe the role
✅ The job title must be clear and reflect the role, as it's the first thing candidates see
✅ Needs to match with the keywords candidates search for on job boards and search engines.
🚫 Avoid company-specific titles.

Company Description

This section is specific to your business activity - we cannot provide you with a ready-to-use template.
To help you, here are the elements that must be included:
✅ Your mission
✅ The products and/or services that support this mission
✅ The type and number of customers you serve
✅ Your mid- and long-term goals, with concrete figures
✅ Any other ambitious projects (geographic expansion, new verticals, etc.)

💡 Bonus: Add engaging content like photos, videos, CEO podcasts, or anything else that showcases your vision and ambitions.

Job Brief

As a Data Analyst in our finance team, you will play a crucial role in transforming raw data into strategic insights that guide our financial decisions and business strategies. Your work will directly impact the company's ability to optimize financial performance and achieve growth objectives.

To complete this section, here are the essential elements that must be included :
✅ A clear and concise sentence describing the role
✅ Its position in the organizational chart
✅ The scope of responsibility including (if applicable) the size of the team to be managed
✅ One or two specific, long-term objectives for the position

Key Responsabilities

• Collect and analyze financial data to identify trends and insights.
• Create financial models to support business decisions.
• Develop dashboards and reports for financial analysis.
• Collaborate with finance and business teams to align data-driven strategies.
• Ensure data accuracy and integrity across all financial reports.
• Support budgeting and forecasting processes with data insights.

Skills & Qualifications

🎓 Bachelor's degree in Finance, Economics, Data Science, or a related field is required. A Master's degree or relevant certifications (e.g., CFA, CPA) are preferred.

💪 Typically, 2-5 years of experience in data analysis or a related field is expected.

🎯 Main Hard Skills

• Advanced Excel skills
• Proficiency in SQL
• Experience with data visualization tools
• Familiarity with statistical software
• Financial analysis
• Data modeling

🙂 Main Soft Skills

• Communication
• Analytical thinking
• Teamwork
• Time management

Conditions & Benefits

This section is specific to your company - we cannot provide you with a ready-to-use template.
To help you, here are the elements that can be included:
✅ Employment type: Full-time, part-time, freelance, contract, etc.
✅ Location: City + any location-specific benefits
✅ Work schedule: Remote, in-office, or hybrid (ideally with details on the expected balance)
✅ Salary: You can choose to provide a range or leave it unspecified.
✅ Benefits: Outline what you offer in terms of healthcare, wellness programs, parental leave, transportation stipends, and more.

💡 Tip: Work conditions are one of the most important factors for candidates when considering a job. Transparency and honesty go a long way.

Interview Process

This section is specific to your company - we cannot provide you with a ready-to-use template.
To help you, here is a typical process:
1️⃣ Initial phone screening with (Recruiter’s Name), our (Recruiter’s Title) - 30 min
2️⃣ Interview with (Hiring Manager’s Name “HM”), our (HM’s Role) - 45 min
3️⃣ Case study with (HM’s Name), our (HM’s Role) - 1 hour in person
4️⃣ Cultural fit interview with (HM’s Manager’s Name), our (Manager’s Role) - 30 min in person
5️⃣ Team meeting with (HM’s Team Name) – in person
6️⃣ Reference checks