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Solvd, Inc.
Solvd, Inc.
501 – 1,000 Employees
ConsultingHealthcareLogistics
Solvd, Inc. is a global software engineering and consulting company that helps organizations plan, build, test, and modernize digital products. Its work spans web and mobile development, digital experience and design, data and AI/ML, cloud platform modernization, quality assurance, and automation. As an AWS partner, Solvd combines engineering expertise with technologies such as Zebrunner and Carina to support development and testing workflows. Founded in 2011, the company brings together more than 800 professionals across eight offices and serves clients in sectors including healthcare and logistics across 15 countries. Its teams work collaboratively on tailored technical solutions, from complex engineering challenges to feature-rich product delivery.
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Senior CRM Data Analyst / Customer Intelligence Analyst (Part-Time) - Poland Remote

Part-time remote role in Poland focused on Salesforce customer intelligence, CRM data quality, digital analytics, and stakeholder decision support for Solvd’s AI consulting and technology services across EMEA.

PLPolandRemoteFull-timeSeniorEnglish RequiredData Analyst
CloudSQLTableau

Description

  • Lead customer data insights, quality monitoring, and CRM performance analysis across EMEA
  • Validate customer data quality, identity resolution, attributes, audiences, and profile unification in Salesforce Data Cloud
  • Investigate discrepancies affecting customer counts, audience composition, campaign targeting, and reporting results
  • Detect data defects, system limitations, and inefficient processes that affect business performance
  • Collaborate with Global Engineering, Data, and Product teams to deliver corrective actions
  • Recommend ways to improve the accuracy, availability, and usability of customer data
  • Examine customer behavior, lifecycle performance, engagement, retention, and purchasing trends
  • Produce audience, segmentation, affinity, and customer value analyses to inform CRM strategy
  • Support personalization programs with practical insights and recommendations
  • Assess CRM campaigns and customer journeys
  • Use Adobe Analytics to evaluate website and digital customer behavior
  • Find ways to strengthen conversion, engagement, and the customer experience
  • Work with E-commerce and Product teams to evaluate journey performance and friction points
  • Link on-site behavior with CRM engagement and revenue results
  • Create and maintain Tableau dashboards for CRM, Marketing, Product, and E-commerce stakeholders
  • Build automated reporting solutions and maintain consistency across reporting platforms
  • Communicate findings with clear visualizations suited to varied audiences
  • Collaborate across CRM, E-commerce, Product, Digital, Data Engineering, and Commercial functions
  • Turn technical analysis into accessible business recommendations and support stakeholder alignment
  • Shape decisions through evidence-based storytelling and concise communication

Requirements

  • Advanced practical experience with Salesforce Data Cloud (D360), including customer data models, identity resolution, segmentation, and audience creation
  • Demonstrated ability to troubleshoot and investigate data quality problems at scale
  • Substantial experience with Salesforce Marketing Cloud (SFMC)
  • Advanced Adobe Analytics expertise
  • Advanced Tableau expertise, including dashboard development and data visualization standards
  • Strong SQL capability and experience analyzing large customer datasets
  • Experience using data warehouses such as Snowflake
  • Excellent stakeholder management and communication skills with technical and non-technical audiences
  • Confidence challenging assumptions, escalating data quality issues, and shaping decisions with evidence-based recommendations
  • Legal authorization to work in the country where the role is located
  • English proficiency is required, with applicants asked to indicate their level on the application form

Benefits

  • Equal-opportunity employment
  • Ongoing opportunities for learning and innovation
  • An inclusive working environment
  • Commitment to ethical AI practices
  • Cross-continental collaboration across diverse cultures
  • The chance to contribute to real-world AI projects in important industries

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