Auriga - Data Analyst - Power BI/Tableau

5 days ago


Jaipur, Rajasthan, India Auriga IT Consulting Pvt Ltd. Full time ₹ 4,00,000 - ₹ 12,00,000 per year

Description:

About the Role :

We are seeking a highly analytical and detail-oriented Data Analyst to join our data and analytics team.

In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to generate actionable business insights.

The ideal candidate has strong technical skills in SQL, data visualization, and analytics tools, along with the ability to communicate data-driven recommendations to business stakeholders.

Youll collaborate closely with data engineers, product managers, and business leaders to support strategic decision-making and drive organizational performance.

Key Responsibilities :

- Collect, clean, and validate data from multiple internal and external sources to ensure data accuracy and integrity.

- Analyze large datasets to identify trends, patterns, and correlations that support business goals.

- Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker.

- Write and optimize SQL queries for data extraction, transformation, and reporting.

- Collaborate with cross-functional teams to define key performance indicators (KPIs) and data requirements.

- Provide insights and recommendations to improve business processes, marketing performance, product adoption, and customer experience.

- Support A/B testing, forecasting, and statistical modeling as needed.

- Document data processes, data models, and reporting methodologies.

- Partner with data engineering teams to improve data pipelines and database structures.

- Ensure data privacy, compliance, and security standards are maintained.

Required Qualifications :

- Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.

to 6 years of experience as a Data Analyst or in a similar analytical role.

- Strong proficiency in SQL and data querying for relational databases (e.g., MySQL, PostgreSQL, Snowflake, BigQuery).

- Hands-on experience with data visualization tools (Power BI, Tableau, Looker, or Qlik).

- Proficiency in Excel (pivot tables, advanced formulas, charts).

- Solid understanding of data analytics concepts, KPIs, and reporting frameworks.

- Basic knowledge of Python or R for data manipulation and statistical analysis.

- Strong problem-solving and analytical thinking skills.

- Excellent communication skills with the ability to explain technical findings to non-technical audiences



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