Company Overview

At Sparkmetrics Solutions, we are a well-established company since 2013, dedicated to leveraging technology for solving complex business problems. Our expertise spans across enterprise software solutions, custom web applications, digital marketing, eCommerce platforms, and game development projects. With a commitment to high-quality delivery on time and within budget, Sparkmetrics Solutions is a leading IT Services and IT Consulting firm based in Bangalore, Karnataka.

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This is a Remote Position

Job Overview

Join Sparkmetrics Solutions as a Hiring Data Analytics Trainee to gain hands-on experience in the dynamic field of data analytics. This full-time remote internship is open for freshers and is available in multiple locations including Bengaluru, Chennai, Hyderabad, Pune, Hubballi, Nashik, and Navi Mumbai. Ideal candidates will have up to 1 year of experience in data analytics.

Qualifications and Skills

• Strong analytical skills and the ability to interpret and present complex data effectively.
• Proficiency in SQL for managing and manipulating databases is essential (Mandatory skill).
• Excellent problem-solving skills to tackle business challenges using data-driven insights (Mandatory skill).
• Familiarity with data analysis techniques and statistical methodologies to derive actionable insights.
• Proficiency in Python for data manipulation and analysis tasks.
• Experience in data visualization tools such as Tableau or Power BI to create comprehensible reports.
• Advanced skills in Excel for data processing and analysis.
• Critical thinking ability to evaluate data and make informed business recommendations.

Roles and Responsibilities

• Analyze large datasets to identify patterns, trends, and insights that can drive business decisions.
• Develop and maintain dashboards and reports to communicate data findings to stakeholders.
• Collaborate with cross-functional teams to implement data-driven strategies.
• Assist senior data analysts in data cleaning, processing, and validation activities.
• Utilize SQL and Python scripts to automate repetitive tasks and streamline data processing.
• Ensure data integrity and accuracy in all delivered reports and analysis.
• Continuously learn and stay updated with the latest trends and best practices in data analytics.
• Provide support in the creation and presentation of data-related insights to management.