Salesforce Data Analyst

Aquiva Labs, Inc.; Barcelona; Presencial; EUR 42.000 - 66.000; Jornada completa

Descripción de la vacante

Aquiva Labs, Inc. is seeking a Data Analyst who will move beyond reporting to design data products end-to-end, refining metrics with business stakeholders, and enabling scale through automation.

You will specialize in Salesforce CRM Analytics while deepening data engineering acumen to drive insights across operations. You will own analytics initiatives from scoping to delivery, build scalable dashboard templates, and collaborate across Engineering, Product, and Customer Success to embed

Formación

• 3–5 years of experience in analytics, data visualization, or business intelligence.
• Proficient in Salesforce Analytics (Tableau CRM), SAQL, SOQL, JSON-based dashboards.
• Hands-on with Snowflake, Data Lakes, ETL tools, and scripting in Python or R.
• Knowledge of data modeling (star schema, slowly changing dimensions).
• Excellent storytelling, stakeholder communication, and visualization skills.
• Bachelor’s degree in a quantitative or technical field (preferred).

Responsabilidades

• Design scalable Tableau CRM dashboards with complex bindings, filters, and multi-page flows.
• Optimize queries (SQL, SAQL, SOQL) for performance on large datasets.
• Create modular and reusable dataflows and recipes, with parameterization.
• Automate workflows using Python/R for data transformation, reporting, or model deployment.
• Translate technical results into business-friendly formats.
• Collaborate with Engineering, Product, and Customer Success to embed analytics into operations.
• Run internal enablement sessions and maintain documentation for dashboards.

Conocimientos

Storytelling

Stakeholder communication

Data visualization

Analytics

Educación

Bachelor’s degree in a quantitative or technical field

Herramientas

Tableau CRM (Salesforce Analytics)

SAQL

SOQL

JSON dashboards

Snowflake

ETL tools

Python

R

Descripción del empleo

As a Data Analyst at Aquiva you will move beyond reporting and become a solution designer -owning data products end-to-end, refining metrics with business stakeholders, and enabling scale through automation and best practices. You will specialize in Salesforce CRM Analytics and its ecosystem while deepening your business and data engineering acumen to drive insights and outcomes across our operations.

Key Responsibilities:

1. Technical Development

• Design scalable and responsive Tableau CRM dashboards with complex bindings, filters, and multi-page flows.
• Optimize queries (SQL, SOQL, SAQL) for performance on large datasets.
• Create modular and reusable dataflows and recipes, applying parameterization.
• Troubleshoot join mismatches, schema inconsistencies, and dataflow failures.
• Automate workflows using Python/R for data transformation, reporting, or model deployment.

2. Business Acumen

• Develop deep understanding of MCIM’s product, user journey, and operational metrics.
• Co-define KPIs with Product, Customer Experience, and Business teams.
• Build context-aware visual narratives for data, explaining trends, anomalies, and insights.

3. Cross-functional Communication

• Translate complex technical results into business-friendly formats.
• Collaborate with Engineering, Product, and Customer Success teams to embed analytics into operations.
• Run internal enablement sessions and maintain documentation for key dashboards.

4. Project Ownership

• Lead analytics initiatives from scoping to delivery.
• Build scalable dashboard templates, standard filters, and reusable assets.
• Review Data Analyst I dashboards and support onboarding of new team members.

5. Data Governance

• Implement naming conventions, data lineage tracking, and consistency checks.
• Monitor data quality and proactively address dashboard breakage and discrepancies.

Skills & Experience Required:

• 3–5 years of experience in analytics, data visualization, or business intelligence.
• Proficient in Salesforce Analytics (Tableau CRM), SAQL, SOQL, JSON-based dashboards.
• Hands-on with Snowflake, Data Lakes, ETL tools, and scripting in Python or R.
• Knowledge of data modeling (star schema, slowly changing dimensions).
• Excellent storytelling, stakeholder communication, and visualization skills.
• Bachelor’s degree in a quantitative or technical field (preferred).

Preferred Qualifications:

• Salesforce CRM Analytics & Einstein Discovery Consultant certified.
• Familiarity with real-time data pipelines, APIs, and external connectors.
• Experience mentoring junior analysts and creating internal documentation.