Sr Data Analytics

Viewise Consultancy

Surat

On-site

INR 600,000 - 900,000

Full time

7 days ago
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Job summary

Viewise Consultancy is seeking a data analyst to translate large datasets into actionable insights. You will leverage SQL, Python, Excel, and BI tools to identify trends and inform decisions.

You will build and maintain Power BI/Tableau dashboards, perform data cleaning, and validate data to support business planning and performance monitoring.

Qualifications

  • Experience analyzing large datasets to identify trends and insights.
  • Proficiency in SQL, Python, Excel, and BI tools.
  • Experience building dashboards in Power BI and Tableau.
  • Data cleaning, transformation, and validation to ensure data accuracy.

Responsibilities

  • Analyzed large and complex datasets to identify trends and insights.
  • Developed dashboards to track KPIs and business performance.
  • Performed data cleaning, transformation, and reconciliation to ensure accuracy.
  • Created complex SQL queries for data extraction and analysis.
  • Built DAX measures and calculated columns for reporting.

Skills

SQL
Python
Data analysis
Excel
BI tools

Tools

Power BI
Tableau
Power Query

Job description

Role & responsibilities


  • Analyzed large and complex datasets using SQL, Python, Excel, and BI tools to identify trends, patterns, and business insights.

  • Developed and maintained Power BI/Tableau dashboards to track KPIs and business performance.

  • Performed data cleaning, transformation, validation, and reconciliation to ensure data accuracy and consistency.

  • Created complex SQL queries, joins, CTEs, subqueries, and window functions for data extraction and analysis.

  • Built DAX measures and calculated columns for advanced Power BI reporting and analytics.

  • Automated recurring reports and manual processes using Python, SQL, Excel, and Power Query, reducing operational effort.

  • Conducted root cause analysis to identify business issues and provide actionable recommendations.

  • Performed trend analysis, forecasting, and statistical analysis to support business planning and decision-making.

  • Collaborated with business stakeholders, product teams, and cross-functional teams to understand requirements and deliver analytical solutions.

  • Defined and monitored KPIs, business metrics, and performance indicators through interactive dashboards

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