Sales Analytics Senior

4 - 8 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Senior Analyst in the Global Business Growth & Automation (GBGA) team at Salesforce, you play a crucial role in driving innovation and delivering cutting-edge tools and platforms for Salesforce employees. Your responsibilities include: - Understanding business use cases deeply and translating them into scalable data solutions and actionable insights. - Designing and building robust, reusable, and well-documented data pipelines and ETL/ELT workflows using modern data tools and platforms. - Constructing, optimizing, and documenting complex SQL queries and data transformations for long-term maintainability and performance. - Collaborating with team members to design, implement, and maintain scalable data models, schemas, data marts in alignment with architectural best practices. - Partnering to deliver complex data projects on time and with high quality, pivoting between competing priorities effectively. - Proactively seeking opportunities to apply data science models for business value, anticipating future questions and answering them with data resources. - Creating trusted, easily understood, aesthetically pleasing, and scalable data artifacts. - Communicating effectively with cross-functional teams and stakeholders, adapting messages for technical and non-technical audiences. Qualifications required for this role include: - 4+ years of experience in data engineering/analysis or related roles, with a passion for solving business problems using data. - Proficiency in common analytical programming languages (e.g., Python or R), SQL, ETL/ELT tools/techniques, and advanced data modeling techniques. - Understanding of end-to-end data development, including data model design, quality review, deployment, audits, and maintenance. - Familiarity with statistics and machine learning methods, curiosity in applying data science techniques/models for business value. - Staying updated on trends in data analytics, AI tools/techniques, and exploring potential application areas. - Asking relevant questions, rationalizing business value and approaches, collaborating with peers. Additional details of the company were not provided in the job description.,

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