Salesforce Data Analyst II

Aquiva Labs, Inc.; Warszawa; On-site; PLN 120,000 - 180,000; Full time

Job summary

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

You will specialize in Salesforce CRM Analytics and deepen your data engineering acumen to drive insights across our operations. The role requires hands-on experience with Salesforce, its data model, and analytics work.

Qualifications

• 3–5 years of experience in analytics, data visualization, or BI.
• Proficient in Salesforce Analytics (Tableau CRM), SAQL, SOQL, JSON 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 and stakeholder communication skills.
• Bachelor’s degree in a quantitative or technical field (preferred).

Responsibilities

• Design scalable Tableau CRM dashboards with complex bindings, filters, and multi-page flows.
• Optimize queries (SQL, SOQL, SAQL) for large datasets.
• Create modular dataflows and recipes with parameterization.
• Automate data transformations and models using Python or R.
• Translate technical results into business-friendly insights and visuals.

Skills

Salesforce Analytics

Data storytelling

Stakeholder communication

Data visualization

Business intelligence

Education

Bachelor's degree in quantitative or technical field

Tools

Tableau CRM

SOQL

SAQL

JSON dashboards

Snowflake

ETL tools

Python

R

Job description

As a Salesforce 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.

This role requires hands-on experience working within the Salesforce ecosystem. We're looking for candidates who have practical experience with Salesforce as part of their analytics work and understand the platform, its data model, and business processes.

If your background does not include working with Salesforce or Salesforce-related analytics projects, this role may not be the right fit at this time. We encourage candidates with relevant Salesforce experience to apply and look forward to learning more about your expertise.

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.