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Data Analyst
hace 2 meses
About the Role
We are seeking a highly skilled Data Analyst to join our Data Team at GfK. As a key member of our team, you will play a pivotal role in leveraging data and analytics to drive informed decision-making across the organization.
Key Responsibilities
- Data Understanding and Analysis:
- Gain a deep understanding of organizational data and key performance indicators (KPIs) to facilitate data-driven decision-making.
- Analyze large and complex datasets, identifying trends, patterns, and anomalies to extract meaningful insights.
- Utilize advanced data analytics tools such as SQL and Python for data manipulation and analysis.
- Business Information Needs:
- Collaborate with management to prioritize and address business information needs through data analysis and reporting solutions.
- Reporting and Dashboard Development:
- Develop and maintain user-friendly dashboards on BI tools like QlikSense, providing stakeholders with real-time access to actionable insights.
- Data Quality and Consistency:
- Identify and address data inconsistencies, working closely with Data Engineers to ensure adherence to data quality policies.
- Collaboration and Communication:
- Work collaboratively with other members of the Data team, including Data Scientists and Data Engineers, to streamline data processes and enhance data-driven decision-making.
- Effectively communicate insights and findings to internal and external stakeholders, fostering a culture of data-driven decision-making.
Requirements
- Proficiency in Python (pandas, numpy, matplotlib, ggplot, seaborn) and SQL.
- Familiarity with R (optional).
- Excel skills (user level).
- Experience with BI tools such as QlikSense, Power BI, or Tableau.
- Knowledge of cloud services, particularly AWS, is a plus.
- Familiarity with data management tools, with experience in dbt considered advantageous.
- Analytical thinking and problem-solving abilities.
- Strong storytelling skills to effectively communicate insights.
- English with good communication skills.
- Ability to work collaboratively in a team-oriented environment.
What We Offer
- Prepaid Medicine paid 100% by the company (MedPlus)
- Birthday Day Off
- 40 hours per week
- Hybrid work - 2 days at office, 3 days at home
- Unlimited Employee Assistance Program (EAP)
This position offers a unique opportunity to contribute to the organization's data strategy and drive meaningful business outcomes through data analysis and insights. If you are passionate about leveraging data to make a positive impact, we encourage you to apply.