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Jobs or company...

Data Analyst

Salary undisclosed
Checking job availability...
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Simplified

job Summary:

We need business data analyst skills, not technical skills. Looking for experts who can capture business needs and translate into technical data marts

We are seeking a highly skilled and detail-oriented Data Analyst & Data Visualization to join our Data & Analytics team. The ideal candidate will have strong expertise in SQL querying, data manipulation, and data visualization. You will be responsible for extracting, analysing, and interpreting large datasets to provide actionable insights that drive business decisions. Proficiency in SQL Server, Google Big Query, and AWS, as well as experience with data visualization tools like Tableau, Power BI, and Amazon Quick Sight, is essential for this role.

Key Responsibilities:

  1. Data Extraction & Analysis:
  • Write complex SQL queries to extract, transform, and analyze data from multiple databases and data warehouses (SQL Server, Google Big Query, AWS).
  • Perform data cleaning, validation, and transformation to ensure data accuracy and consistency.
  • Analyze large datasets to identify trends, patterns, and insights that support business objectives.
  1. Data Visualization & Reporting:
  • Create interactive and visually appealing dashboards and reports using Tableau, Power BI, and Amazon Quick Sight.
  • Present data-driven insights to stakeholders in a clear and concise manner.
  • Collaborate with cross-functional teams to understand their data needs and deliver actionable insights.
  1. Data Management:
  • Work with cloud-based data platforms (AWS, Google Big Query) to manage and optimize data storage and retrieval processes.
  • Ensure data security and compliance with company policies and regulations.
  1. Collaboration & Communication:
  • Partner with business stakeholders to understand their requirements and translate them into technical solutions.
  • Communicate findings and recommendations to both technical and non-technical audiences.
  1. Continuous Improvement:
  • Stay updated with the latest trends and tools in data analysis and visualization.
  • Identify opportunities to improve data processes and reporting efficiency.

Skills & Qualifications:

Technical Skills:

  • SQL Expertise: Advanced proficiency in writing and optimizing SQL queries across multiple platforms (SQL Server, Google Big Query, AWS).
  • Data Visualization Tools: Hands-on experience with Tableau, Power BI, and Amazon Quick Sight for creating dashboards and reports.
  • Cloud Platforms: Familiarity with cloud-based data platforms like AWS (e.g., Redshift, S3) and Google Big Query.
  • Data Manipulation: Strong skills in data cleaning, transformation, and analysis using SQL and other tools.
  • Programming (Optional): Basic knowledge of Python or R for data analysis is a plus.

Analytical Skills:

  • Strong problem-solving skills with the ability to analyze complex datasets and derive actionable insights.
  • Attention to detail and a commitment to data accuracy and quality.

Soft Skills:

  • Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Strong collaboration and teamwork skills.
  • Ability to manage multiple projects and meet deadlines in a fast-paced environment.

Education & Experience:

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 2+ years of experience as a Data Analyst or in a similar role.
  • Proven experience working with SQL, data visualization tools, and cloud-based data platforms.

job Summary:

We need business data analyst skills, not technical skills. Looking for experts who can capture business needs and translate into technical data marts

We are seeking a highly skilled and detail-oriented Data Analyst & Data Visualization to join our Data & Analytics team. The ideal candidate will have strong expertise in SQL querying, data manipulation, and data visualization. You will be responsible for extracting, analysing, and interpreting large datasets to provide actionable insights that drive business decisions. Proficiency in SQL Server, Google Big Query, and AWS, as well as experience with data visualization tools like Tableau, Power BI, and Amazon Quick Sight, is essential for this role.

Key Responsibilities:

  1. Data Extraction & Analysis:
  • Write complex SQL queries to extract, transform, and analyze data from multiple databases and data warehouses (SQL Server, Google Big Query, AWS).
  • Perform data cleaning, validation, and transformation to ensure data accuracy and consistency.
  • Analyze large datasets to identify trends, patterns, and insights that support business objectives.
  1. Data Visualization & Reporting:
  • Create interactive and visually appealing dashboards and reports using Tableau, Power BI, and Amazon Quick Sight.
  • Present data-driven insights to stakeholders in a clear and concise manner.
  • Collaborate with cross-functional teams to understand their data needs and deliver actionable insights.
  1. Data Management:
  • Work with cloud-based data platforms (AWS, Google Big Query) to manage and optimize data storage and retrieval processes.
  • Ensure data security and compliance with company policies and regulations.
  1. Collaboration & Communication:
  • Partner with business stakeholders to understand their requirements and translate them into technical solutions.
  • Communicate findings and recommendations to both technical and non-technical audiences.
  1. Continuous Improvement:
  • Stay updated with the latest trends and tools in data analysis and visualization.
  • Identify opportunities to improve data processes and reporting efficiency.

Skills & Qualifications:

Technical Skills:

  • SQL Expertise: Advanced proficiency in writing and optimizing SQL queries across multiple platforms (SQL Server, Google Big Query, AWS).
  • Data Visualization Tools: Hands-on experience with Tableau, Power BI, and Amazon Quick Sight for creating dashboards and reports.
  • Cloud Platforms: Familiarity with cloud-based data platforms like AWS (e.g., Redshift, S3) and Google Big Query.
  • Data Manipulation: Strong skills in data cleaning, transformation, and analysis using SQL and other tools.
  • Programming (Optional): Basic knowledge of Python or R for data analysis is a plus.

Analytical Skills:

  • Strong problem-solving skills with the ability to analyze complex datasets and derive actionable insights.
  • Attention to detail and a commitment to data accuracy and quality.

Soft Skills:

  • Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Strong collaboration and teamwork skills.
  • Ability to manage multiple projects and meet deadlines in a fast-paced environment.

Education & Experience:

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 2+ years of experience as a Data Analyst or in a similar role.
  • Proven experience working with SQL, data visualization tools, and cloud-based data platforms.