DATA ANALYST - SALES OPERATIONS (BENGALURU)

Elastic - Boston, MA

Full-time - Entry Level

Boston, MA

251-500 employees

Professional, Scientific, and Technical Services

About the position

Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe. As the world's leading software provider for making structured and unstructured data usable in real-time for search, logging, security, and analytics use cases, Elastic's global community has more than 80,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 100 million cumulative downloads. Today, thousands of organizations, including Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, The New York Times, Uber, Verizon, Yelp, and Wikipedia, use the Elastic Stack, X-Pack, and Elastic Cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. In this role, you will design and conduct moderately complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps. You will enforce data governance standards and procedures, identify data quality metrics, and implement data quality audits to benchmark the quality of data. Additionally, you will design and monitor data governance, data quality, and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for company-wide data management functions. You will support communications with basic documentation related to requirements, design decisions, issue closure, or remediation updates, and work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls and data lineage. Maintaining necessary processes, controls, and procedures to ensure data accuracy and integrity will also be part of your responsibilities, along with performing complex analysis of master and reference datasets and conducting data validation.

Responsibilities

• Design and conduct moderately complex analysis to identify and remediate data quality or integrity issues.
• Enforce data governance standards and procedures.
• Identify data quality metrics and implement data quality audits to benchmark the quality of data.
• Design and monitor data governance, data quality, and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for company-wide data management functions.
• Support communications with basic documentation related to requirements, design decisions, issue closure, or remediation updates.
• Work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls and data lineage.
• Maintain necessary processes, controls, and procedures to ensure data accuracy and integrity.
• Perform complex analysis of master and reference datasets and conduct data validation.

Requirements

• 1-3 years of Data Management, Business Analysis, Analytics, Project Management experience.
• Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability are important.
• Proficient in requirements gathering and working with multiple data owners.
• Ability to negotiate, influence, and collaborate to build successful relationships.
• Experience presenting status in a manner that informs and enhances understanding at all levels.
• Strong analytical skills with high attention to detail and accuracy.
• Excellent verbal, written, and interpersonal communication skills.
• Strong organizational, multi-tasking, and prioritization skills.
• Experience in creating data dictionaries for Metadata, specifically customer master data.
• Experience in SQL for Data Analysis and Reporting.

Benefits

• Competitive pay based on the work you do here and not your previous salary.
• Health coverage for you and your family in many locations.
• Ability to craft your calendar with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• Double your charitable giving - We match up to $1500 (or local currency equivalent).
• Up to 40 hours each year to use toward volunteer projects you love.
• Embracing parenthood with a minimum of 16 weeks of parental leave.