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Data Analyst - Client Coverage Group

Remote / Online - Candidates ideally in
Indiana Borough, Indiana County, Pennsylvania, 15705, USA
Listing for: Jobgether
Remote/Work from Home position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 70000 - 100000 USD Yearly USD 70000.00 100000.00 YEAR
Job Description & How to Apply Below

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst - Client Coverage Group in Switzerland.

This role is ideal for a skilled data professional who thrives at the intersection of analytics and business strategy. You will provide actionable insights that directly influence client engagement, revenue growth, and strategic decision-making. Working in a fast-paced, remote-first environment, you will design and maintain dashboards, automate reporting processes, and build data pipelines that support global client operations. Your work will enable teams to make informed, data-driven decisions while identifying opportunities for optimization, cross-selling, and churn prevention.

This position offers strong exposure to leadership, collaboration with cross-functional teams, and the chance to shape the data strategy for a high-impact client coverage group. It is perfect for someone who enjoys translating complex datasets into clear, strategic recommendations.

Accountabilities
  • Analyze client revenue, product usage, and interaction data to generate insights that inform strategy and drive growth.
  • Create, maintain, and evolve reporting metrics covering client revenues, product adoption, interactions, and issue escalations.
  • Collaborate with leadership to improve reporting for strategic campaigns, OKRs, and market analysis.
  • Design and maintain Looker dashboards to enable self-service analytics for relationship management and customer success teams.
  • Develop reporting frameworks to optimize team resourcing and operational efficiency.
  • Build and manage end-to-end data pipelines to ensure data accuracy and maintain a single source of truth.
  • Automate analytics processes and implement predictive modeling tools to identify opportunities for cross-selling and churn prevention.
Requirements
  • 3+ years of experience in a dedicated data analytics role.
  • Advanced proficiency in SQL, with Big Query experience being highly advantageous.
  • Strong data modeling skills and experience using Python for analytics.
  • Excellent written and verbal communication skills in English, with the ability to explain complex data insights to non-technical stakeholders.
  • Highly organized, capable of managing multiple projects while maintaining attention to detail.
  • Exceptional analytical, critical thinking, and problem-solving skills.
  • Experience as a Looker developer is a strong plus.
  • Familiarity with GCP products such as Big Query, Cloud Functions, and Vertex AI is desirable.
  • Dedicated workspace and reliable high-speed internet connection.
Benefits
  • Fully remote position, allowing work from anywhere.
  • Flexible work schedule and PTO policy to support work-life balance.
  • Opportunity to shape global client strategy through high-impact data insights.
  • Collaborative and high-performance team environment.
  • Learning and development budget to support professional growth.
  • Exposure to cutting-edge data analytics tools and predictive modeling techniques.
Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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