Description
We are looking for a data analyst to help our client make smart, data-driven business decisions. As a Data Analyst, you’ll be responsible to help build and ensure the data solutions are optimized for speed, reliability, and accuracy. You’ll work with cross-functional teams to identify data requirements and develop innovative solutions to address their needs.
Responsibilities
- Understand the day-to-day issues that our business faces, which can be better understood with data
- Gathering data through various sources and analytics tools
- Maintain data quality and accuracy by regularly auditing data and implementing necessary improvements
- Generating and communicating clear, compelling and actionable insights
- Maintaining dashboards and reports
- Ensuring that client facing and internal reporting is done in a timely manner
- Analyze large datasets and uncover trends, patterns, and insights that can inform decision-making
- Collaborate with cross-functional teams and stakeholders to implement data-driven solutions
- Stay up-to-date with industry trends, new technologies, and best practices related to Data Analysis/analytics
Requirements
- Minimum 3 years of experience in data analytics
- Excellent communication and presentation skills in English, both verbally and in writing, at a professional level
- Strong skills in SQL or any database management, Microsoft Excel (advance level), Python, and/or R programming
- Familiarity with BI Tools such as: Looker, Looker Studio, Tableau, PowerBI, or Mode
- Strong analytical and problem-solving skills
- Ability to work with cross-functional teams and stakeholders
- Attention to detail and ability to work with large, complex datasets
Good to Have
- Experience in A / B testing and correlation analysis.
- Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud Platform.
- Experience in product analytics using one of these tools : Appsflyer, Clevertap, Amplitude, SnowPlow, Mixpanel or Google Analytics.
- Experience in designing and building data warehouses, data pipelines, and ETL processes.
- Familiar with version control
