Data Analytics Consultant - (power BI)
Bengaluru, Karnataka, India
Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.
Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com and for more information on Kaseya’s culture, please click here: Kaseya Culture.
Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. We have achieved record levels of success being BOLD, being GRITTY, being ACCOUNTABLE. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers, and the betterment of their careers and long-term financial wealth.
Job Description:
- Looking for a 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, 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.
Roles & Responsibilities
- 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.
Analytics or other field.
Ability to translate business requirements into non-technical, lay terms.
Understanding of addressing and metadata standards
- 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 a plus
- Experience working with staff to VP level
Data Analyst Requirements:
- Bachelor’s degree from an accredited university or college in computer science
Join the Kaseya growth rocket ship and see how we are #ChangingLives !
Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data Analytics Data Mining Data warehouse Excel Finance Power BI RDBMS Security SQL
Perks/benefits: Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs