Visualization Engineer

As a Visualization Engineer, you will be responsible for developing, designing, and implementing data visualization solutions to support business intelligence, reporting, and analytics needs. You should have a strong background in data visualization, experience with data manipulation, and the ability to develop effective solutions that meet business requirements. Collaboration with cross-functional teams to gather requirements, design and implement solutions, and provide ongoing support is crucial in this role. Key Responsibilities: - Develop, design, and implement data visualization solutions to support business intelligence, reporting, and analytics needs - Work closely with cross-functional teams to gather requirements and design effective solutions - Utilize data manipulation techniques to extract and transform data from various sources - Create dashboards and reports that effectively communicate complex data and insights to stakeholders - Collaborate with data analysts and data scientists to ensure data accuracy and quality - Develop automated data visualizations to support ongoing monitoring and reporting needs - Maintain and support existing data visualization solutions - Conduct Data Validation and UAT on the reports Qualifications: - Bachelors or Masters degree in Computer Science, Information Systems, or related fields - 3+ years of experience in data visualization, business intelligence, or analytics - Strong proficiency in data manipulation, visualization, and reporting tools (e.g., Tableau, Power BI, QlikView, etc.) - Experience with SQL and data modeling - Strong analytical and problem-solving skills - Excellent communication and collaboration skills - Ability to work in a fast-paced environment and manage multiple priorities - Teamwork/ growth contribution - Helping the team in taking Interviews and identifying right candidates - Adhering to timelines - Intime status communication and upfront communication of any risks - Tech, train, share knowledge with peers - Analytical mind with a problem-solving aptitude Preferred Qualifications: - Experience with one or more programming languages such as Python, R, JS or Java - Experience in Descriptive statistics - Familiarity with OLAP, data warehousing, data modeling and ETL processes - Exposure to data science and machine learning concepts As a Visualization Engineer, you will be responsible for developing, designing, and implementing data visualization solutions to support business intelligence, reporting, and analytics needs. You should have a strong background in data visualization, experience with data manipulation, and the ability to develop effective solutions that meet business requirements. Collaboration with cross-functional teams to gather requirements, design and implement solutions, and provide ongoing support is crucial in this role. Key Responsibilities: - Develop, design, and implement data visualization solutions to support business intelligence, reporting, and analytics needs - Work closely with cross-functional teams to gather requirements and design effective solutions - Utilize data manipulation techniques to extract and transform data from various sources - Create dashboards and reports that effectively communicate complex data and insights to stakeholders - Collaborate with data analysts and data scientists to ensure data accuracy and quality - Develop automated data visualizations to support ongoing monitoring and reporting needs - Maintain and support existing data visualization solutions - Conduct Data Validation and UAT on the reports Qualifications: - Bachelors or Masters degree in Computer Science, Information Systems, or related fields - 3+ years of experience in data visualization, business intelligence, or analytics - Strong proficiency in data manipulation, visualization, and reporting tools (e.g., Tableau, Power BI, QlikView, etc.) - Experience with SQL and data modeling - Strong analytical and problem-solving skills - Excellent communication and collaboration skills - Ability to work in a fast-paced environment and manage multiple priorities - Teamwork/ growth contribution - Helping the team in taking Interviews and identifying right candidates - Adhering to timelines - Intime status communication and upfront communication of any risks - Tech, train, share knowledge with peers - Analytical mind with a problem-solving aptitude Preferred Qualifications: - Experience with one or more programming languages such as Python, R, JS or Java - Experience in Descriptive statistics - Familiarity with OLAP, data warehousing, data modeling and ETL processes - Exposure to data science and machine learning concepts