About the role
structured by ORIRole Overview We are looking for a Data Analyst to collect, process, and analyze data to help drive informed business decisions. The ideal candidate will have strong analytical skills, experience with data tools, and the ability to translate complex data into actionable insights Key Responsibilities: - Collect,…
What you will do
- Collect, clean, and validate data from multiple sources
- Analyze large datasets to identify trends, patterns, and anomalies
- Develop dashboards, reports, and visualizations for stakeholders
- Write efficient SQL queries to extract and manipulate data
- Collaborate with business teams to understand requirements
What they are looking for
- Bachelor’s degree in Data Science, Statistics, Computer Science, or related field
- 5+ years of experience in data analysis or similar role
- Strong knowledge of SQL (e.g., MySQL, PostgreSQL, or ClickHouse)
- Proficiency in Excel (advanced formulas, pivot tables)
- Experience with data visualization tools (e.g., Tableau, Power BI, Superset)
- Familiarity with Python or R for data analysis
- Understanding of statistical methods and data modelling
- Strong problem-solving and critical thinking skills
Nice to have
- Bachelor’s or master’s degree in computer science, Information Systems, or a related field.
- Experience with big data technologies (e.g., Apache Hadoop, Apache Spark)
- Knowledge of ETL processes and data pipelines
- Exposure to machine learning concepts
Benefits
- Impactful Work: Solve meaningful real-life business problems by building cutting-edge products.
- Tremendous Growth Opportunities: Work in a fast-growing CPaaS and product-driven culture with scope for continuous professional development.
- Innovative Environment: Be part of a world-class team that loves solving tough problems and values innovation.
Full posting text
Role Overview
We are looking for a Data Analyst to collect, process, and analyze data to help drive informed business decisions. The ideal candidate will have strong analytical skills, experience with data tools, and the ability to translate complex data into actionable insights
Key Responsibilities:
Collect, clean, and validate data from multiple sources
Analyze large datasets to identify trends, patterns, and anomalies
Develop dashboards, reports, and visualizations for stakeholders
Write efficient SQL queries to extract and manipulate data
Collaborate with business teams to understand requirements
Perform ad-hoc analysis to support business decisions
Ensure data accuracy, integrity, and consistency
Automate repetitive data processes and reporting
Present findings in a clear and concise manner
Required Skills:
Bachelor’s degree in Data Science, Statistics, Computer Science, or related field
5+ years of experience in data analysis or similar role
Strong knowledge of SQL (e.g., MySQL, PostgreSQL, or ClickHouse)
Proficiency in Excel (advanced formulas, pivot tables)
Experience with data visualization tools (e.g., Tableau, Power BI, Superset)
Familiarity with Python or R for data analysis
Understanding of statistical methods and data modelling
Strong problem-solving and critical thinking skills
Preferred Qualifications:
Bachelor’s or master’s degree in computer science, Information Systems, or a related field.
Experience with big data technologies (e.g., Apache Hadoop, Apache Spark)
Knowledge of ETL processes and data pipelines
Exposure to machine learning concepts
Why join us?
Impactful Work: Solve meaningful real-life business problems by building cutting-edge products.
Tremendous Growth Opportunities: Work in a fast-growing CPaaS and product-driven culture with scope for continuous professional development.
Innovative Environment: Be part of a world-class team that loves solving tough problems and values innovation.
Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees.
🌐 www.tanla.com
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Software Development