Data Support Analyst

Data Support Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Support Analyst based in India.

This is a fully remote opportunity for a detail-oriented analyst who enjoys turning business questions into clear, accurate, and actionable data insights. You will serve as a key support partner for Sales and other internal teams, helping stakeholders access, interpret, and troubleshoot the data they rely on. The role combines SQL-based analysis, data investigation, reporting, validation, and day-to-day data operations. You'll work with modern analytics tools such as Databricks and Count, alongside spreadsheets and internal data resources. A major part of the role will involve translating sometimes ambiguous requests into well-defined requirements and useful analytical outputs. You'll also help identify recurring needs and turn them into reusable queries, reports, documentation, and self-service solutions. This role is ideal for a responsive, service-minded analyst who combines strong technical skills with excellent attention to detail and stakeholder communication.

Accountabilities:

• Fulfill data requests: Respond to ad-hoc data and reporting requests from Sales and other internal teams using SQL, Databricks, Count, spreadsheets, and relevant internal tools.
• Translate business needs: Partner with stakeholders to clarify questions, understand requirements, determine appropriate data sources, and deliver accurate and easy-to-understand answers.
• Investigate data issues: Analyze discrepancies, missing records, unexpected results, and other basic data problems to identify their causes and determine appropriate resolutions.
• Resolve and escalate issues: Independently address straightforward data issues while escalating more complex problems with clear documentation, relevant evidence, and sufficient context for further investigation.
• Support data operations: Contribute to routine data maintenance, validation, quality checks, reporting activities, and other operational requirements that help maintain reliable data.
• Improve self-service capabilities: Recognize recurring requests and develop reusable queries, reports, documentation, or other resources that reduce repetitive manual support.
• Support internal stakeholders: Maintain a responsive, service-oriented approach when working with Sales and other teams, ensuring requests are handled accurately and efficiently.
• Communicate findings: Explain analytical results, data limitations, and identified issues clearly to both technical and non-technical stakeholders.
• Maintain data quality: Apply strong attention to detail when validating outputs and investigating anomalies to ensure stakeholders receive dependable information.

Requirements:

• Professional experience: 3–6 years of experience in data analysis, business intelligence, analytics support, data operations, or a closely related role.
• SQL expertise: Strong SQL skills with practical experience querying data, answering business questions, investigating discrepancies, and troubleshooting data issues.
• Analytics tools: Experience working with modern data and analytics platforms; familiarity with Databricks or Count is a valuable advantage.
• Spreadsheet proficiency: Strong spreadsheet skills, including data validation, lookups, pivot tables, and general data analysis.
• Business analysis: Ability to turn loosely defined or ambiguous business requests into clear analytical requirements and appropriate data outputs.
• Communication: Strong written and verbal communication skills, with the ability to explain technical findings clearly to non-technical stakeholders.
• Attention to detail: Highly organized and meticulous when working with data, reporting requests, and validation activities.
• Service orientation: A responsive, collaborative mindset with a genuine interest in helping internal teams solve data-related problems.
• Problem solving: Ability to investigate issues independently, identify practical solutions, and recognize when a problem requires escalation.
• Sales or go-to-market experience: Experience supporting Sales or other go-to-market teams is a plus.
• Business data knowledge: Familiarity with CRM, sales pipeline, revenue, or other commercial data is advantageous.
• Reporting experience: Experience creating dashboards, reusable reports, or internal data documentation is a bonus.
• Remote collaboration: Ability to work effectively and independently in a fully remote environment.

Benefits:

• Fully remote position for candidates currently residing in India.
• Compensation of $2,500–$3,500 USD per month.
• Flexible PTO, with a minimum expectation of taking at least one day off per quarter and ten days per year.
• Coworking space and work-from-home setup reimbursement.
• Opportunity to work with modern data and analytics technologies and contribute to the evolution of internal data practices.
• High degree of autonomy and ownership within a remote-first working environment.
• Opportunities to contribute to an inclusive and collaborative culture built around initiative, openness, and humility.
• Company offsites twice a year for planning, team building, and networking.
• Health, dental, and vision insurance are part of the broader benefits package; eligibility may vary by location.
• Additional U.S.-specific benefits in the original posting, including federal holiday observance and a 401(k) employer match, may not apply to India-based employees.