Data & Analytics Specialist
Uptalent.io
Ciudadela - hace 3 días
Title: Data & Analytics Specialist
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Mathematics, Statistics, or a related field.
Expertise/Experience Required:
- Strong proficiency in database management and data engineering.
- Advanced skills in computer programming.
- Expertise in developing and maintaining dashboards using data visualization tools.
- Experience in conducting analysis, developing studies, and employing data mining techniques.
Technical Skills:
- Proficiency in Microsoft Office Suite, especially Excel.
- Advanced knowledge of SQL and database querying.
- Proficiency in Python for data analysis and scripting.
- Experience with Data Visualization Tools (Power BI or Tableau).
- Familiarity with AWS Cloud Services and tools for data handling and processing.
Desirable Skills:
- Ability to create compelling stories and presentations from data findings.
- Experience in digital analytics and social media data analysis.
- Understanding of statistics and statistical modeling techniques.
Personal Attributes:
- Strong data engineering and programming background.
- Ability to approach data challenges holistically and analytically.
- Fluent in English, with excellent communication skills.
- Effective in teamwork and collaboration, including with cross‑functional teams.
- Proactive problem‑solving skills with a focus on business improvement.
- Business acumen to balance technical and business perspectives.
- Strong interpersonal skills with the ability to engage effectively with various stakeholders.
- Identify and integrate new data sources, KPIs, and segments to enhance business value.
- Ensure data integrity and quality through rigorous data cleansing and validation.
- Collaborate with IT development teams for new data source implementation.
- Manage information security and compliance with data protection laws.
- Design and build dashboards to monitor business performance and generate actionable insights.
- Maintain and update dashboards and datamarts for ongoing relevance and accuracy.
- Continuously improve data engineering processes to enhance quality and productivity.
- Explore and test new data sources for potential enrichment.
- Conduct analysis for customer engagement and monetization campaigns.
- Undertake digital analytics, including website/app navigation and social media behavior analysis.
- Develop meaningful KPIs and customer segments for business insights.
- Conduct studies to attract new customers and understand existing customer preferences, demands, and challenges.
- Collaborate on projects to increase engagement and monetization for strategic partners.
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