Data Analyst

About the Role

Data Analyst

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.

Skills & Qualifications

• 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.

Preferred Qualifications

• 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.