Corporate Branding Fresher Jobs in Pune

As a Data Analyst, you will play a crucial role in interpreting data and turning it into actionable insights for the organization. This full-time position allows you to work from home while collaborating with various teams.Key Responsibilities:- Data Collection: Gather data from multiple sources, ensuring its accuracy and relevance for analysis. This is the foundation for any insights you will generate.- Data Cleaning: Prepare and clean the collected data to eliminate inaccuracies or inconsistencies, enabling reliable analysis.- Data Analysis: Use statistical tools to analyze data and identify trends, helping to inform business decisions.- Reporting Findings: Create clear and concise reports that present your findings. Communicate insights effectively to team members and stakeholders.- Collaborating with Teams: Work closely with other departments to understand their data needs and provide support through data-driven solutions.Required Skills and Expectations:You should have a background in one of the following areas: B.A, B.Arch, B.C.A, B.B.A, B.Com, B.Sc, or B.E. Familiarity with data analysis tools like Excel, SQL, or Python is beneficial. Strong analytical skills and attention to detail are crucial for success in this role.Additionally, you must demonstrate good communication skills, both written and verbal, allowing you to convey complex information clearly. A proactive approach and the ability to work independently are essential, as you will manage your tasks remotely. Prior experience in data analysis is a plus but not mandatory for candidates with enthusiasm and a willingness to learn.

Key ResponsibilitiesData Collection & Cleaning: Sourcing data from various places (primary/secondary) and ensuring its accuracy, consistency, and quality. Analysis & Interpretation: Using statistical methods, identifying trends, patterns, and anomalies to answer key business questions. Reporting & Visualization: Creating clear reports, charts, dashboards (e.g., in Power BI, Tableau) to present findings to technical and non-technical audiences. Collaboration: Working with cross-functional teams to understand needs and deliver relevant insights. Database Management: Setting up and maintaining data systems and infrastructure. Essential Skills & ToolsTechnical Skills: SQL, Excel, Python/R (for analysis), Data Visualization tools (Tableau, Power BI). Analytical Skills: Statistical analysis, problem-solving, critical thinking, identifying patterns. Soft Skills: Communication (to explain complex data), attention to detail, collaboration.

We are seeking a passionate Data Analyst Intern who loves working with data, analyzing patterns, and finding insights that help make better business decisions. Youll work closely with our analytics and product teams to transform raw data into meaningful information.Responsibilities: Collect, clean, and organize data from multiple sources. Analyze large datasets to identify trends and insights. Create dashboards and visualizations using tools like Excel, Power BI, or Tableau. Assist in preparing data-driven reports for management. Collaborate with teams to optimize data collection and reporting processes. Present insights in a clear and actionable way.Required Skills: Proficiency in Excel/Google Sheets for data analysis. Basic knowledge of SQL for querying databases. Familiarity with Python (Pandas, NumPy) or R is a plus. Understanding of data visualization tools (Power BI, Tableau, or Google Data Studio). Strong analytical and problem-solving mindset.Eligibility: Pursuing or recently completed a degree in Computer Science, Statistics, Mathematics, Economics, or related fields. Good communication and presentation skills. Eagerness to learn and explore new tools and techniques.Perks: Hands-on project experience with real-world data. Internship completion certificate. Mentorship from experienced data professionals. Opportunity for full-time employment based on performance.

As a Data Analyst, your responsibilities will include collecting data, analyzing complex datasets, and providing insights and recommendations to support business decision-making. You will need to have a strong understanding of data management principles and be proficient in SQL, Oracle SQL, and PLSQL for data extraction and manipulation. Experience with data mining and data collection techniques is also essential in this role.