Full-Time Middle/Senior Data Analyst
Sigma Software is hiring a remote Full-Time Middle/Senior Data Analyst. The career level for this job opening is Senior Manager and is accepting Ukraine based applicants remotely. Read complete job description before applying.
Sigma Software
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Company DescriptionWe are seeking a motivated and self-driven individual for our fast-growing Web and Mobile Solutions team, comprising nearly 400 professionals across various technologies. Our projects and clients are diverse, encompassing long-term partnerships with enterprises and a strong focus on startups. Our energetic team thrives in the fast-paced startup environment.
Job DescriptionAs a Middle/Senior Data Analyst in our Big Data Center of Excellence, you'll actively participate in projects, plus various data-focused activities like pre-sale support, technical excellence contributions, and other CoE initiatives.
Responsibilities
- Collect, organize, analyze, and maintain high-quality data from diverse sources.
- Identify trends, patterns, and insights within the data, and resolve data issues.
- Create comprehensive reports and dashboards, effectively communicating insights to stakeholders.
- Design and implement data analytics solutions for specific business domains, leveraging data science tools and techniques.
- Support process improvement initiatives by providing data-driven insights and collaborating with cross-functional teams.
- Collaborate with clients and stakeholders to understand their needs, empower informed decision-making, ensure high-quality reporting, and deliver impactful presentations.
Qualifications
- 3+ years of experience in data-related fields.
- Proven ability to ensure high-quality, accurate, and consistent data reporting.
- Strong data stewardship skills.
- Experience working effectively with cross-functional teams.
- Proficient in Python.
- Proficient in visual analytics tools like Power BI and Tableau.
- Strong communication and presentation skills, with a focus on conveying key data insights to clients and stakeholders.
- Good understanding of machine learning instruments and algorithms (strong in exploratory data analysis and feature engineering).
- Experience in implementing and delivering data science/data analytics solutions with demonstrable business impact.
- Upper-Intermediate English proficiency.