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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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