12 Sep
|
Globus Systems
|
India
12 Sep
Globus Systems
India
Company: AA GLOBUSDIGITAL INDIA PRIVATE LIMITED
AA GLOBUSDIGITAL INDIA PRIVATE LIMITED, is a wholly owned subsidiary of Globus Systems Inc US,
Globus Systems was founded by industry executives who have been part of the IT services industry for the past 20 years and have seen it evolve and mature. We understand the challenges faced by organizations as they prepare for the future. As a technology delivery company, we are focused on helping organizations lay a foundation for their "Tomorrow-Roadmap".
At the heart of any business is the data that drives decisions. Data integrity and security are key drivers for growth. Smart and timely use of technology can help build, streamline and enable data driven decisions that become the backbone of an organization. Business leaders are constantly searching for new solutions, services and partners they can trust with enabling these drivers.
- Role: Senior Data Operations Analyst
- Location: PAN India
- NP: Immediate Joiners required
- Experience: 5 to 7 Years
- Work Mode: WFH
- CTC: Market Standard
Position Summary The Data Operations Analyst executes defined data workflows and client data requests supporting direct mail, list fulfilment, and database marketing campaigns. The role involves using SQL, Excel, and internal tools to extract, clean, format, validate, and track data while following established processes and quality controls. Working under senior analysts and team leads, the analyst builds proficiency and gradually takes ownership of more complex workflows.
Principal Duties and Responsibilities
· Deliver work carefully and thoughtfully, considering that simple mistakes can result in extraordinary costs.
· Flags risks before they become escalations. Proactively surfaces emerging risks, such as slipping deadlines or data-quality issues, before they require follow-up.
· Manage a queue of concurrent client requests, prioritizing work to meet tight, frequently changing deadlines without sacrificing accuracy.
· Coordinate directly with Account Management to confirm scope and priority before a request enters the queue, escalating conflicts to a team lead when they can’t be resolved at intake.
· Owns the translation, not just the ticket. Turns ambiguous requests into clear, executable requirements by resolving scope, feasibility, and edge cases upfront.
· Recommend and help implement process improvements — including automation opportunities of data processing workflows.
· Learn the organization's core business systems and tools, with a goal of building working proficiency within the first 6–12 months.
· Execute assigned data workflows following documented procedures, with oversight and review from senior team members at each step.
· Process and fulfil routine client list and data requests supporting direct mail and database marketing campaigns, from intake through delivery, under supervision.
· Query, extract, clean, and format data files using SQL and Excel, verifying accuracy before submitting for review.
· Track assigned jobs and status updates in Jira (or equivalent), keeping requesters and internal stakeholders informed.
· Support the process of obtaining and documenting client approvals prior to executing data pulls, list counts, or campaign fulfilment, escalating to a senior analyst when needed.
· Transfer files securely using file-transfer systems, maintaining the confidentiality and integrity of sensitive data throughout.
· Communicate professionally and promptly with Account Management and internal teams to clarify data processing requirements.
· Flag data discrepancies, production issues, or potential bottlenecks to a senior analyst or manager promptly.
· Assist senior analysts with root cause analysis and documentation when issues occur.
· Maintain accurate records and documentation for assigned requests, approvals, and deliverables to support audit and quality-control needs.
· Suggest process improvement ideas based on day-to-day experience with workflows and tools.
· Communicate openly with team members and leadership, asking questions and seeking guidance as needed.
Key Skills / Tools
· Basic to intermediate SQL (MS SQL / PostgreSQL) — comfortable writing straightforward queries and learning more advanced querying with guidance.
· MS Excel — solid working knowledge, including formulas, pivot tables, and data cleanup; exposure to macros/VBA is a plus.
· MS Office — general proficiency across Excel, Word, Outlook, and PowerPoint.
· Excellent attention to detail.
· Strong organization and time-management skills.
· Willingness and ability to work accurately under deadlines, with support from senior team members on prioritization.
· Good analytical and problem-solving instincts, with a desire to develop them further.
· Clear and professional written communication.
· Ability to follow instructions and documented processes closely.
· Ability to recognize when an issue is beyond scope and needs to be escalated.
· Reliability and availability during business hours.
Good to have
· Exposure to Python for basic scripting or automation (coursework or personal projects count).
· Familiarity with visualization tools such as Power BI or Tableau.
· Curiosity about or exposure to AI/LLM tools (e.g., Claude) for productivity and data tasks.
· Exposure to automation concepts or tools such as Jenkins or UiPath (formal experience not required — willingness to learn is key).
· Coursework, internship, or project experience in data processing, direct mail, database marketing, or a similar production workplace.
· Experience handling large data files or confidential information in an academic or professional setting.
📌 Senior Data Operations Analyst (India)
🏢 Globus Systems
📍 India