Intermediate Data Analyst-Up to $1600/month

As a Data Analyst at the Intermediate Level, you will be responsible for the following tasks and duties:

Strategic Analysis & Insight Generation:

- Collecting and Cleaning Data: Gather data from various sources and ensure its accuracy and completeness through thorough cleaning and preparation for analysis.

- Analysis and Insights: Conduct data analyses to address business questions, develop hypotheses, and provide insights that support business strategies.

- Data Visualization: Utilize data visualization techniques to create charts and graphs that effectively communicate insights.

- Decision Support: Actively contribute to decision-making processes by delivering actionable insights to relevant stakeholders, enhancing their understanding of key business metrics and trends.

Dashboard & BI Development:

- BI Development: Assist in the creation and maintenance of a self-service BI system that includes dashboards and exploratory reports, utilizing various BI tools to meet business needs.

- Dashboard Development: Additionally, responsible for developing and maintaining hundreds of real-time data monitoring dashboards for business operations, ensuring broad accessibility and visibility.

Data Management & Integration:

- Data Modeling: Define and manage schemas for business-focused data objects. Implement data modeling techniques to enhance data accessibility and utility for analysis and decision-making.

- Data Flows: Develop and maintain ELT pipelines and processes to ensure smooth data integration from multiple sources.

- Data Warehouse: Oversee the management of the data warehouse, ensuring its optimal performance and alignment with business requirements.

Leadership & Team Collaboration:

- Collaboration with Team Members: Work closely with team members to comprehend data requirements and deliver appropriate data solutions to meet business needs.

- Cross-functional Collaboration: Engage with cross-functional teams to support and facilitate data-driven decision-making throughout the organization.

Trend Analysis: Continuously follow global data analytical methodologies and toolsets to support strategic decisions, ensuring the organization stays ahead of market shifts and technological advancements.

By undertaking these responsibilities, you will play a crucial role in driving data-informed decisions and strategies, ultimately contributing to the success and growth of our organization.

Yêu cầu công việc

WHAT WE ARE LOOKING FOR

- Educational Background: Bachelor\'s degree preferred in Data Science, Computer Science, Mathematics, Statistics, or a related field.

- Professional Experience: At least 3 years working in a DA role with proven ideally within eCommerce or Tech-startups.

- Technical Proficiency: Expertise in SQL and BI tools, along with a strong understanding of data modeling, data warehousing, and real-time data monitoring. Familiarity with cloud technologies and DevOps practices is essential.

- Database Management: Understanding the principles of database management and being able to perform exploratory data analysis is essential.

- Analytical Skills: Strong ability to analyze datasets and utilize data visualization techniques to derive meaningful insights.

- Communication Skills: Strong verbal and written communication skills, capable of presenting data insights clearly and contributing to decision-making processes.

- Innovative Thinking: Ability to keep pace with industry trends in data analytics methodologies and tools, applying this knowledge to drive the business forward.

- English proficiency

Preferred (but not required)

- Machine Learning Techniques: Familiarity with machine learning algorithms and their applications in data analysis.

- Big Data Platforms: Experience with big data technologies such as Hadoop and Spark for handling large datasets.

- Programming Proficiency: Skilled in programming languages like Python and R for data analysis and automation tasks.

- Familiarity with the Agile toolset, such as Gitlab, Jira, Confluence, and Slack.