Senior Data Visualization Engineer

• Data Analysis & Visualization:

• Design, build, and maintain visually compelling dashboards, reports, and charts using advanced visualization tools like Tableau, Power BI, etc. - Know how of when and how to design data model for effective Dashboards yielding higher efficiency and lesser loading time

• Transform raw data into actionable insights by analysing trends and patterns and presenting them through intuitive visualizations. - Collaborate with business stakeholders to understand key metrics and create visual solutions that align with business objectives. - SQL Expertise:

• Use SQL to extract, manipulate, and aggregate data from relational databases (e.g., MySQL, PostgreSQL, SQL Server, or similar). - Able to write SQL queries to prepare data for visualizations, ensuring the data is clean, accurate, and properly structured for analysis. - Optimize SQL queries for performance and efficiency in large datasets. - Data Integration & Transformation:

• Integrate data from multiple sources, including internal databases, APIs, and external systems, into cohesive visual reporting frameworks. - Perform data wrangling, transformation, and cleansing to ensure data quality and consistency. - Continuous Improvement:

• Stay up to date with the latest trends in data visualization, SQL best practices, and data analytics tools. - Continuously improve visualizations based on user feedback and emerging business needs. What you'll need:

• Technical Skills:

• Expertise in SQL for querying and manipulating relational databases (MySQL, PostgreSQL, SQL

• Server, etc.). - Strong experience with data visualization tools (e.g., Tableau, Power BI)

• Proven Knowledge and Experience with DAX, MDX, etc

• Proficiency in Excel and other data manipulation tools

• Familiarity with ETL processes and data pipelines

• Experience with Python or R for advanced analytics (optional but a plus)

• Problem-solving – proven experience dealing with technical blockers. - Analytical Skills:

• Ability to analyse complex data and identify key insights and trends

• Strong attention to detail, ensuring that data visualizations are accurate and insightful

• Understanding of data modelling and normalization principles

• Education & Experience:

• Bachelor’s or master’s degree in computer science, Data Science, Statistics, Engineering, or a related field

• 7+ years of experience in Data Visualization, SQL , RDBMS, Large Dataset Modelling, Interactive Dashboards

• Experience working with large datasets and providing insights to drive business decisions –Data Telling a Story

• Mandatory Qualifications/Certifications:

• Microsoft PL-300

• Preferred Qualifications:

• Familiarity with cloud data platforms (e.g., AWS, Google Cloud, Azure(must))

• Experience with advanced data analytics and machine learning models (a plus)

• Knowledge of data warehousing concepts and technologies

• Familiarity with Agile methodologies

Who you are:

You're open:** We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. You're optimistic:** We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected. You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day. What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work. Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry. Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge? We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.