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Solvd, Inc.

Senior Data Analyst

Sorry, this job was removed at 04:13 p.m. (IST) on Wednesday, Sep 03, 2025
Remote
7 Locations
Remote
7 Locations

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Solvd is an AI-first advisory and digital engineering firm delivering measurable business impact through strategic digital transformation. Taking an AI-first approach, we bridge the critical gap between experimentation and real ROI, weaving artificial intelligence into everything we do and helping clients at all stages accelerate AI integration into each process layer. Our mission is to empower passionate people to thrive in the era of AI while maintaining rigorous ethical AI standards. We’re supported by a global team with offices in the USA, Poland, Ukraine and Georgia. 

We are seeking a detail-oriented Senior Data Analyst to assist our data analytics team. This role is pivotal in driving insights through data analysis, performance reporting, and visualization to support strategic decision-making across our digital platforms. The ideal candidate will have a strong analytical mindset and a passion for uncovering actionable insights from complex datasets.

The primary responsibilities of this job include, but are not limited to:

  • Conduct data collection, exploration & analysis to uncover business insights, trends and patterns.
  • Optimize data flow & architecture across operational and analytical platforms for efficiency.
  • Ensure data integrity and accuracy by documenting processes and maintaining quality controls.
  • Develop dashboards & reports to support decision-making.
  • Collaborate with cross-functional teams in marketing, operations, and finance to drive data-driven decisions.
  • Demonstrated ability to apply strong analytical thinking to solve complex problems, interpret data, and make data-driven decisions.

Requirements:

  • Proficiency in Data mining & cleansing, and Data analysis.
  • Advanced SQL.
  • Strong reporting and data visualization skills.
  • Experience with Big Query / Cloud platforms.
  • Experience with Power BI.
  • Strong skills in Excel.
  • Basic knowledge of Statistics.
  • Excellent communication and presentation skills.
  • Strong attention to detail and a proactive approach to problem-solving.

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