Website:
sudhanandgroup.com
Job details:
Job Description: Data Analyst
Company: Sudhanand Business Solutions
Location: Mysuru, Bangalore - India (On-site)
Experience Level: 1 – 3 Years
Company Description :
Sudhanand Business Solutions Pvt. Ltd. is a renowned organization dedicated to delivering exceptional business services and innovative solutions to a diverse clientele. With a focus on leveraging technology and analytics, the company is committed to fostering operational excellence and driving data-driven decision-making. Their mission is to help organizations achieve measurable success through customized and efficient solutions. Sudhanand Business Solutions stands as a trusted partner for businesses seeking growth and transformation.
About the Role :
At Sudhanand Business Solutions Pvt Ltd., we are looking for a Data Analyst with high analytical and technical skills. In this role, you will be working with our clients to transform complex data into useful insights. We are currently in an exciting phase of digital transformation. Currently we have a legacy system in place and we are rapidly moving towards modern stacks. We need an analyst who is strong with data and also able to learn continuously.
Required Skills & Qualifications :
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Technical Proficiency: o Intermediate SQL skills (complex joins, window functions, and optimization). o Intermediate Python skills for data manipulation (Pandas, NumPy).
- BI Expertise: 1+ years of experience with at least one mainstream BI tool (Power BI, Tableau, or Qlik).
- Client Management: Proven experience in a client-facing role with the ability to present findings confidently.
- Tool Adaptability: Must demonstrate a strong willingness and ability to learn new BI tools and platforms as we transition our technology stack.
Preferred Attributes :
• The "Technical Storyteller": Ability to turn "messy data" into a clear, actionable business narrative.
• UI/UX Focus: An eye for design-knowing how to use color, layout, and whitespace to make dashboards intuitive.
• Adaptability: Comfortable working in a transitioning environment as we move from legacy tools to a modern data stack.
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