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bangtest
Full-Time
$1,000-$2,000/monthly
Remote
Posted 1mo ago
Specialty:
Analytics Manager
Experience Level:
0-1 years
Management Level:
1-5 people
English Level:
Basic
Skills & Technologies
Data Analysis
Communication
Data Visualization
Problem Solving
Data Cleaning
SQL
About the Job
As a "bangtest, Analytics Manager" with 0 years of experience, you will play a crucial role in transforming raw data into actionable insights that drive business decisions. This entry-level individual contributor position focuses on supporting various teams by providing robust data analysis, reporting, and visualization. You will be responsible for extracting, cleaning, and interpreting data, identifying trends, and presenting your findings in a clear and concise manner. This is an excellent opportunity for an enthusiastic and detail-oriented individual to kickstart a career in data analytics, learn new tools, and contribute to a data-driven culture.
Responsibilities
- Assist in collecting, cleaning, and processing large datasets from various sources to ensure data accuracy and integrity.
- Develop and maintain reports, dashboards, and data visualizations using appropriate tools to monitor key performance indicators (KPIs) and business trends.
- Perform basic statistical analysis to identify patterns, correlations, and insights within the data.
- Present analytical findings and recommendations to stakeholders in a clear, concise, and understandable format.
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
- Support the optimization of data collection processes and reporting methodologies.
- Continuously learn and apply new analytical techniques, tools, and industry best practices.
- Document analytical processes, methodologies, and data definitions.
Minimum Qualifications
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related discipline.
- 0 years of professional experience in data analysis (relevant internships, academic projects, or coursework will be considered).
- Demonstrated proficiency in Microsoft Excel (e.g., pivot tables, VLOOKUPs, advanced formulas).
- Foundational understanding of SQL for data extraction and manipulation.
- Strong analytical and problem-solving skills with an aptitude for working with data.
- Excellent attention to detail and a commitment to data accuracy.
- Ability to learn new technologies and tools quickly.
- Effective written and verbal communication skills.
Preferred Requirement
- Basic knowledge of a programming language commonly used in data analysis (e.g., Python or R).
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker).
- Understanding of basic statistical concepts and their application in business contexts.
- Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud).
- Prior experience with data cleaning or ETL processes.
- A portfolio of academic or personal projects demonstrating analytical capabilities.
- Proactive attitude with a strong desire to contribute and grow within a fast-paced environment.
Benefits
- Comprehensive health, dental, and vision insurance plans.
- Paid time off (vacation, sick leave, and holidays).
- Opportunities for professional development, training, and certifications.
- Mentorship programs and a supportive learning environment.
- Collaborative and inclusive company culture.
- Employee assistance program.
- Flexible work options (if applicable).
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