Data Analyst - SQL

Overview

We are looking for a Data Analyst with a strong background in data visualization and business analytics.

This role requires expertise in analyzing large datasets, creating insightful reports, and presenting data-driven findings using Adobe Analytics, Tableau, Power Query, and SQL Workbench.

The ideal candidate will help drive business decisions by transforming raw data into meaningful insights through advanced reporting and visualization techniques.

Key Responsibilities

• Analyze large datasets to extract meaningful insights and identify trends to support business decision-making.
• Develop interactive dashboards and reports using Tableau and Power Query for data visualization.
• Utilize Adobe Analytics to track and analyze digital performance, user behavior, and key business metrics.
• Write and optimize SQL queries in SQL Workbench to retrieve, manipulate, and process large volumes of data.
• Translate complex data findings into clear and actionable business insights for various stakeholders.
• Create compelling data visualizations and storytelling techniques to communicate findings effectively.
• Work with cross-functional teams to define business analytics needs, ensuring alignment with company objectives.
• Ensure data accuracy, integrity, and automation in reporting processes.
• Identify key KPIs and metrics to measure business performance and suggest data-driven strategies for improvement.
  
  

• 3+ years of experience in data analysis, business analytics, and data visualization.
• Expertise in Adobe Analytics for web traffic analysis and performance tracking.
• Strong hands-on experience with Tableau for data visualization and interactive reporting.
• Proficiency in Power Query for data transformation and automation.
• Advanced SQL skills using SQL Workbench to query and manipulate large datasets.
• Strong understanding of business analytics and KPI measurement for data-driven decision-making.
• Excellent data storytelling skills, with the ability to present insights to both technical and non-technical stakeholders.
• Strong problem-solving and critical-thinking skills in interpreting data trends.
• Experience working with cross-functional teams, marketing, product, and finance teams to support data-driven strategies.
  
  

• Experience with Python or R for advanced data analysis.
• Familiarity with Google Analytics or other digital analytics tools.
• Exposure to cloud platforms (AWS, GCP, or Azure) for data processing.
  
  

(ref:hirist.tech)