Data Analysis Team Lead

Job not on LinkedIn

🔥 2 minutes ago

🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

Where this job comes from

Posted on Viseven's careers page, not through a job board

First seen by Remote Rocketship 2 minutes ago

Logo of Viseven

Viseven

501 - 1000 employees

Founded 2012

🏥 Healthcare

💼 Consulting

📣 Marketing

💰 Venture Round on 2019-06

Healthcare • Consulting • Marketing

Viseven is a leading B2B digital marketing company specializing in the pharma and life sciences sectors. It leverages innovative AI-driven omnichannel marketing solutions and a modular content approach to provide comprehensive marketing technology and content enablement services. Viseven offers solutions such as AI-powered content management, omnichannel marketing services, and professional services aimed at revolutionizing healthcare communication. With a global team of over 700 professionals, Viseven partners with companies in pharma, biotech, healthcare, and medical devices to enhance healthcare professional engagement and patient awareness through customized and scalable digital content experiences.

📋 Description

• Audit the team, processes, and data platform; identify bottlenecks and improvement opportunities • Build and maintain a roadmap of process and platform changes with measurable targets • Define and document analytics delivery standards, requirements templates, Definition of Done, versioning, and documentation rules • Optimize intake, prioritization, estimation, and standard solutions for recurring requests • Monitor execution through reviews and process metrics such as lead time, rework rate, and defects • Create competency and grade matrices, individual development plans, mentoring programs, and knowledge-sharing initiatives • Conduct 1:1s, provide structured feedback, participate in performance reviews, and address underperformance • Participate in hiring, interviews, and onboarding • Introduce peer or lead review of analytical results and ensure analyses answer the correct business questions • Own target architecture for the data lake and reporting, including layered data models • Establish version control, code review, CI/CD, automated data tests, and Infrastructure as Code • Select modern data tools, optimize query and pipeline performance and cost, and handle complex analysis, engineering, and visualization tasks • Track analytics and AI trends, run pilots, measure results, and establish safe AI-use rules • Improve team AI literacy through training, guides, prompt libraries, and best practices • Present changes and investment cases to management and stakeholders • Participate in pre-sales discovery, solution design, estimates, and proofs of concept

🎯 Requirements

• 5+ years in data analytics, data engineering or BI, with hands-on experience in analysis, data pipelines, and visualization • 2+ years leading a team of 4+ people, including 1:1s, feedback, performance management, and hiring • Experience building or rebuilding team processes with concrete before-and-after examples • Experience growing specialists through mentoring and development • Expert SQL • Solid Python for data work • Hands-on experience with AWS data services (S3, Athena, Glue, Lambda) or equivalent cloud services • Strong data modeling, including dimensional modeling and layered data architecture • Practical experience with version control, code review, and CI/CD for data • Strong skills in at least one BI tool; Power BI preferred • Critical thinking and ability to identify logical and methodological errors • Practical use of AI in analytics and experience introducing new tools or approaches to teams • Experience working with stakeholders, including top management • English B2+ for client communication • Nice to have: dbt or another transformation framework, Infrastructure as Code, orchestration, data quality frameworks, LLM APIs in data pipelines, life sciences/pharma or marketing/omnichannel analytics, AWS certifications, pre-sales or consulting experience

🏖️ Benefits

• Competitive compensation with performance-based salary reviews • Supportive, inclusive, and collaborative work environment • Charity and sustainability initiatives • Opportunities for professional growth, ownership, and visible impact

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