Senior Data Analyst

Tanla Platforms Limited

Hyderabad

On-site

INR 600,000 - 900,000

Full time

12 days ago

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Job summary

Tanla Platforms Limited is seeking a Data Analyst to collect, process, and analyze data to drive informed business decisions. The role focuses on turning complex data into actionable insights, building dashboards, and delivering reports for stakeholders.

The ideal candidate has 5+ years of data analysis experience, strong SQL skills, and proficiency with visualization tools like Tableau or Power BI. The position emphasizes data accuracy and automation in a fast-paced environment in Hyderabad.

Qualifications

  • 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 (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

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

Skills

SQL proficiency
Excel advanced
Data analysis
Problem solving
Statistics knowledge
Python or R

Education

Bachelor's in Data Science/Statistics/CS or related
Master's in CS/IS (preferred)

Tools

MySQL
PostgreSQL
ClickHouse
Tableau
Power BI
Superset
Python
R

Job description

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
  • 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.

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