Junior Data Analyst
A leading consulting company in data analytics and technology-driven solutions.
- Minimum Qualification :
Job Description/Requirements
ABOUT THE COMPANY
We are a consulting company that supports clients in data driven projects.
JOB SUMMARY
About the role:We are seeking a Junior Data Analyst to join Data Hub Research and support the development of data-driven solutions, focusing on Power BI dashboards, Python-based automation, and ETL processes. The ideal candidate is an independent, quick learner who can work with minimal supervision and handle sensitive data responsibly. Due to the nature of this role, the successful candidate will be required to sign a Non-Disclosure Agreement (NDA).This position provides an exciting opportunity to gain hands-on experience, shadow the Senior Data Engineer, and learn advanced data engineering techniques while contributing to impactful projectsRequirement:A degree in Computer Science, Data Analytics, Information Technology, or a related field.Proficiency in Power BI, including DAX and Power Query. Experience or knowledge of ETL processes and tools. Basic to intermediate Python skills, with a strong willingness to learn. Familiarity with SQL for data extraction and manipulation. Ability to work independently with minimal supervision. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.Preferred Skills: Experience with project management tools such as Asana, Trello, or Jira. Familiarity with other BI tools (e.g., Tableau, Qlik). Understanding of data warehousing concepts. Familiarity with cloud platforms like Azure or AWS. Exposure to Agile development methodologies.
RESPONSIBILITIES
Key Responsibilities:1. Power BI Development: Design and maintain interactive dashboards and reports in Power BI. Develop and optimize data models and DAX calculations for efficient reporting.2. Data Preparation & ETL Processes: Build and manage ETL pipelines to transform data from various sources into usable formats. Clean and prepare datasets, ensuring data consistency and accuracy.3. Python Scripting and Automation: Use Python to automate data workflows and enhance efficiency. Support advanced data analysis and manipulation tasks.4. Project Management: Collaborate with the team using project management tools like Asana to ensure smooth workflow and task tracking. Provide regular updates on project progress and deliverables.5. Data Security & Compliance: Handle sensitive data in line with company policies and the signed NDA. Adhere to best practices for data privacy and security.6. Collaboration & Communication: Work closely with the Senior Data Engineer to understand data requirements and project objectives. Support cross-functional teams with insights and reporting.7. Learning & Development: Stay updated on the latest tools and techniques in data analytics and ETL processes. Take initiative to improve technical skills and contribute to knowledge sharing within the team
REQUIRED SKILLS
Database query languages (SQL, others), Relational databases (SQL), Python, Database administration, Data analysis, Big data and data analytics, Github (or other software version management systems), Project management, Data mining
REQUIRED EDUCATION
Bachelor's degree
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