Data Analyst - Sisense + AWS Redshift - Afternoon Shift

Company Overview 10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.  Role We are seeking a skilled Data Analyst with expertise in Sisense and AWS Redshift to join our dynamic team. The ideal candidate will have a strong background in analyzing large datasets, extracting meaningful insights, and presenting findings to stakeholders. Salesforce knowledge is good to have. Responsibilities 

• Collaborate with cross-functional teams to understand data requirements and objectives.
• Extract, clean, and manipulate data from various sources, including Salesforce, to generate actionable insights.
• Develop and automate reports and visualizations to track key performance metrics.
• Perform ad-hoc analysis to support business decision-making and strategy development.
• Ensure data accuracy, integrity, and security across all platforms.
• Stay updated on industry trends and best practices in data analytics, Sisense, AWS Redshift.
• Familiarity with Salesforce's basic object structure and relationships is a plus.

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Analyst, preferably in a fast-paced environment.
• Proficiency in Sisense, AWS Redshift, and Salesforce.
• Strong SQL skills for querying and manipulating large datasets.
• Experience with data visualization tools such as Tableau or Power BI is a plus.
• Excellent analytical and problem-solving abilities.
• Effective communication skills with the ability to present complex findings in a clear and concise manner.
• Familiarity with Agile methodologies and project management tools is a plus.