Senior Sales Analyst
New
J
JobgetherSales Analytics
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4–7 years
- Required Skills
- SQLMicrosoft Power BISalesforceSnowflakeTableaudbtLooker
Requirements
- 4–7 years of experience in sales analytics, revenue analytics, customer analytics, or a closely related field.
- Direct exposure to customer engagement and account-level data.
- Demonstrated experience analyzing customer success metrics, product usage, engagement trends, and commercial performance.
- Strong SQL skills and hands-on experience working with Snowflake or a comparable cloud data warehouse.
- Proven ability to build reports and dashboards using BI platforms such as Tableau, Power BI, or Looker.
- Experience with calculations, visualizations, and data models in BI tools.
- Strong analytical and problem-solving skills with the ability to frame and validate business hypotheses.
- Ability to translate technical findings into concise, compelling stories for non-technical stakeholders and senior leadership.
- Excellent communication and interpersonal skills to build trust and influence across departments.
- Highly organized, detail-oriented, and proactive with a commitment to data quality.
- Working knowledge of data governance principles, policies, and standards.
- Bachelor’s degree preferred.
- Experience with Salesforce is a plus.
- Exposure to modern data-stack technologies such as dbt is an advantage.
Responsibilities
- Partner with analytics leadership to translate business priorities and questions into structured, decision-ready analysis.
- Analyze customer engagement, product adoption, account performance, retention, and revenue trends to identify actionable insights.
- Own monthly and quarterly reporting for core sales metrics, including cross-sell, upsell, churn, and customer performance.
- Extract, transform, and analyze data from Snowflake and other cloud data sources for recurring reporting and ad hoc business requests.
- Design, build, and maintain dashboards and reports using modern business intelligence tools.
- Support presentations for senior leadership by developing clear narratives around sales, customer, and product performance trends.
- Collaborate with Sales, Customer Success, Product, and Analytics teams to deepen understanding of customer behavior and engagement drivers.
- Apply standardized data definitions and governance practices to improve reporting consistency and accuracy.
- Maintain strong quality and process standards while managing multiple analytical priorities.
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