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- Looking for 3-5 Years of solid experience in Data Analysis with strong Power BI, Advanced Excel, and SQL
- Working with system and technical teams to identify and structure data to pull into PowerBI
- Building data models, and reports and Generating reports from single or multiple systems.
- Ability to work with stakeholders from staff to BI level to assess potential risks.
- Troubleshooting the reporting database environment and reports.
- Commissioning and decommissioning of data sets.
- Processing confidential data and information according to guidelines.
- Managing master data, including creation, updates, and deletion.
- Managing users and user roles.
- Provide quality assurance of imported data, working with quality assurance analysts if necessary.
- Helping develop reports and analysis.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Supporting initiatives for data integrity and normalization.
- Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
- Evaluating changes and updates to source production systems.
- Training end-users on new reports and dashboards.
- Providing technical expertise in data storage structures, data mining, and data cleansing.
- Experience in methodologies and processes for managing large-scale databases.
- Demonstrated experience in handling large data sets and relational databases.
- Strong written and verbal communication skills.
- Ability to work in EST hours
- Experience working with finance, shared services, and other teams including Procure to Pay, Order to Cash, a plus
- Experience supporting US-based companies is a plus
- Experience working with staff to VP level
- Bachelor's degree from an accredited university or college in computer science
Data Analyst - Bengaluru, India - Kaseya
Description
Job Description:
Roles & Responsibilities
Analytics or other field.
Ability to translate business requirements into non-technical, lay terms.
Understanding of addressing and metadata standards
Data Analyst Requirements: