Senior Data Analyst
A leading global technology company is seeking a Senior Data Analyst to join its growing data services team. This is an excellent opportunity for an experienced analytics professional to drive data-led decision-making and shape the future of business insights at scale. Youโll collaborate with product, engineering, and client teams to transform complex data into actionable intelligence that powers innovation and value for customers.
Role:
๐ Lead analytical projects, from problem definition to insight delivery.
๐ค Collaborate with internal and external partners to identify key business challenges and design data-driven solutions.
๐งฉ Conduct data validation, cleansing, and transformation to ensure data quality and accuracy.
๐ Develop reports, dashboards, and visualizations that clearly communicate insights.
โ๏ธ Work with product teams to integrate insights into software solutions.
๐ก Present analytical findings to stakeholders in clear, business-oriented language.
๐ง Build subject matter expertise within the companyโs domain and contribute to data strategy discussions.
Requirements:
๐ Bachelorโs degree in Mathematics, Statistics, Computer Science, or related field (Masterโs preferred).
๐งฎ 5+ years of experience as a Data Analyst or similar role.
๐ป Strong SQL programming skills and familiarity with R, SAS, or Python.
๐ Experience with large-scale data systems and cloud platforms such as Snowflake or Databricks.
๐ Proficiency in data visualization and storytelling (Tableau, Power BI, etc.).
๐ฌ Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders.
๐ Strong business acumen, attention to detail, and ability to work in a fast-paced environment.
Benefits:
๐ฐ Competitive base salary range: $110,000 โ $130,000 USD per year, plus performance-based bonus.
๐ฅ Comprehensive health, dental, and vision insurance.
๐ Generous PTO and paid holidays.
๐ Professional growth and continuous learning opportunities.
๐ Fully remote role within the U.S. with flexible working hours.
๐ผ Inclusive and collaborative culture focused on innovation and impact.
Skills:
Data Analytics, SQL, R, SAS, Python, Tableau, Power BI, Databricks, Snowflake, Big Data, Data Modeling, Visualization, BI Tools, Data Storytelling, Data Warehousing, Statistics