Senior CRM Data Analyst / Customer Intelligence Analyst, Part-time

Job not on LinkedIn

🔥 27 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Solvd, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

📋 Description

• Own customer data insights, data quality monitoring, and CRM performance analysis across EMEA • Validate and monitor customer data quality, identity resolution, attributes, audiences, and profile unification in Salesforce Data Cloud • Investigate discrepancies in customer counts, audience composition, campaign targeting, and reporting outputs • Identify data flaws, system gaps, and process inefficiencies affecting business performance • Work with Global Engineering, Data, and Product teams to implement corrective actions • Recommend improvements to customer data accuracy, availability, and usability • Analyze customer behavior, lifecycle performance, engagement, retention, and purchase trends • Develop audience, segmentation, affinity, and customer value analyses for CRM strategy • Support customer personalization initiatives with actionable insights and recommendations • Evaluate CRM campaigns and customer journeys • Analyze website and digital customer behavior using Adobe Analytics • Identify opportunities to improve conversion, engagement, and customer experience • Partner with E-commerce and Product teams to assess customer journey performance and friction points • Connect on-site behavior with CRM engagement and revenue outcomes • Build and maintain Tableau dashboards for CRM, Marketing, Product, and E-commerce stakeholders • Develop automated reporting solutions and ensure consistency across reporting platforms • Present insights through clear visualizations tailored to different audiences • Partner with CRM, E-commerce, Product, Digital, Data Engineering, and Commercial teams • Translate technical findings into business-friendly recommendations and facilitate stakeholder alignment • Influence decision-making through data-driven storytelling and clear communication

🎯 Requirements

• Advanced hands-on experience with Salesforce Data Cloud (D360), including customer data models, identity resolution, segmentation, and audience creation • Proven experience troubleshooting and investigating data quality issues at scale • Strong experience with Salesforce Marketing Cloud (SFMC) • Advanced proficiency in Adobe Analytics • Advanced proficiency in Tableau, including dashboard creation and data visualization best practices • Strong SQL skills and experience working with large-scale customer datasets • Experience working with data warehouses such as Snowflake • Exceptional stakeholder management skills, communicating effectively with technical and non-technical audiences • Ability to challenge assumptions, raise data quality concerns, and influence business decisions through data-backed recommendations • Legal right to work in the country where the role is based • English proficiency level required (application form asks applicants to select their level)

🏖️ Benefits

• Equal opportunity employer • Continuous learning and innovation • Inclusive environment • Ethical AI standards • Collaboration across continents and cultures • Opportunity to work on real-world AI-driven projects across key industries