Data Analyst - fully remote (m/f/d)
at JobLeads
Hamburg, Hamburg, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 06 Aug, 2024 | Not Specified | 08 May, 2024 | 3 year(s) or above | Communication Skills,Ecommerce,Python,Technical Proficiency,User Behavior,Databases,R,English,Business Acumen,Data Analysis,Sql,Cluster Analysis,Power Bi,Analytical Skills,A/B Testing,Google Analytics,Excel | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
YOUR COURSE - AND WHAT WE EXPECT FROM YOU
- Data Analysis and Exploration: Engage in rigorous data exploration using various analytics methodologies including clustering, funnel and cohort analyses, long-term trends, regression models, ABn testing, and causal studies to identify trends and gather actionable insights.
- Support Product Development: Aid in product discovery and design by analyzing data, investigating algorithms (e.g., recommenders, search and matching), and evaluating diverse data sources. Develop methods to evaluate, aggregate, transform, and clean data to optimize the product offerings.
- Analytics Reporting: Use tools like Google Analytics, SQL, Power BI, and Excel to generate comprehensive eCommerce analytics. Develop and maintain advanced reporting dashboards to monitor business performance and inform the product teams about key performance metrics.
- Generate and Test Hypotheses: Conduct descriptive, exploratory, and quantitative analyses to test hypotheses and translate data into actionable business insights.
- Partner with Product Teams: Act as a key resource in interpreting KPIs and drawing substantial conclusions, providing transparency on the advantages and limitations of different analytical approaches.
- Collaborate Across Disciplines: Work closely with multidisciplinary teams, including product managers, designers, and engineers, to implement, validate, document, and monitor algorithms and metrics.
- Continuous Learning: Stay updated on the latest industry trends and technologies in data analysis to continuously improve personal and team capabilities.
Responsibilities:
We are on the lookout for a Data Analyst with a strong passion for transforming complex data sets into insights that drive product improvements and business decisions. This role is ideal for someone who excels in a fast-paced environment and is looking to make a significant impact on the operational success of our online platform. You will be instrumental in shaping our analytics capabilities and directly contributing to our growth and optimization strategies.
REQUIREMENT SUMMARY
Min:3.0Max:8.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Proficient
1
Hamburg, Germany