Solvd, Inc.
Solvd, Inc.
Solvd, Inc. एक वैश्विक सॉफ्टवेयर इंजीनियरिंग और परामर्श कंपनी है, जो संगठनों को डिजिटल उत्पादों की योजना बनाने, उन्हें विकसित करने, परीक्षण करने और आधुनिक बनाने में सहायता करती है। इसका कार्य वेब और मोबाइल विकास, डिजिटल अनुभव एवं डिज़ाइन, डेटा और AI/ML, क्लाउड प्लेटफ़ॉर्म आधुनिकीकरण, गुणवत्ता आश्वासन तथा ऑटोमेशन तक विस्तृत है। AWS पार्टनर के रूप में Solvd, Zebrunner और Carina जैसी तकनीकों के साथ अपनी इंजीनियरिंग विशेषज्ञता को जोड़कर विकास और परीक्षण प्रक्रियाओं में सहायता करती है। 2011 में स्थापित यह कंपनी आठ कार्यालयों में 800 से अधिक पेशेवरों को एक साथ लाती है और 15 देशों में स्वास्थ्य सेवा तथा लॉजिस्टिक्स सहित विभिन्न क्षेत्रों के ग्राहकों को सेवाएं देती है। इसकी टीमें जटिल इंजीनियरिंग चुनौतियों से लेकर सुविधासंपन्न उत्पादों की डिलीवरी तक, जरूरत के अनुरूप तकनीकी समाधानों पर सहयोगात्मक रूप से काम करती हैं।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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