Data Analyst

We are seeking a highly motivated and data-driven individual to join our analytics team as a Data Analyst. In this role, you will work closely with senior management to create dashboards to help drive data-driven decision-making within the organization.​​

Key Responsibilities:

Data Collection and Preparation:

1. Collect, clean, and preprocess data from various sources, including databases, spreadsheets, and external datasets.
2. Ensure data quality and integrity through data validation and cleansing procedures.

Data Analysis:

1. Assist in performing statistical analysis and data modeling to uncover meaningful insights.
2. Conduct exploratory data analysis to identify trends, patterns, and outliers.
3. Collaborate with senior analysts to develop and refine analytical models.

Reporting and Visualization:

1. Create reports and dashboards to present data-driven insights to stakeholders.
2. Utilize data visualization tools (e.g., Tableau, Power BI) to create interactive visualizations that facilitate understanding of complex data.

Collaboration:

1. Collaborate with cross-functional teams, including marketing, finance, and operations, to understand their data needs and provide analytical support.
2. Work closely with senior analysts and data scientists to learn and develop advanced analytical techniques.

Continuous Learning:

1. Stay up-to-date with industry trends and advancements in analytics tools and techniques.
2. Participate in training and development programs to enhance your analytical skills.​

Qualifications:​

1. Bachelor’s degree in a quantitative field such as mathematics, statistics, economics, or a related discipline.
2. Strong analytical and problem-solving skills.
3. Proficiency in data analysis tools such as Microsoft Excel, Python, R, or SQL.
4. Basic understanding of statistical concepts and data modeling.
5. Familiarity with data visualization tools like Tableau or Power BI or TIBCO Spotfire is a plus.
6. Excellent communication skills to convey complex data findings to non-technical stakeholders.
7. Strong attention to detail and a commitment to data accuracy.
8. Ability to work both independently and collaboratively within a team.
9. Eagerness to learn and adapt to new tools and technologies.
10. Prior experience with data analytics or internships in a similar role is a bonus.

Benefits and Perks:​

1. Atmosphere of growth and opportunity.
2. Collaborative culture of smart, young and dedicated people.
3. Super modern WeWork office with the cappuccino on tap, pool tables, and exciting atmosphere.
4. Employee friendly salary structure with great benefits.