Data Analyst

We are looking for a highly analytical and detail-oriented Data Analyst to join our team at. The ideal candidate will be responsible for collecting, processing, and analyzing data to generate actionable insights that drive business decisions. You will work with cross-functional teams, using data visualization tools and statistical techniques to identify trends and opportunities for improvement.

• Data Collection & Management
  • Collect, clean, and organize raw data from various sources (databases, APIs, spreadsheets).
  • Ensure data accuracy, consistency, and integrity across all datasets.
  • Develop and maintain automated data collection and storage systems.
• Data Analysis & Insights Generation
  • Perform exploratory data analysis (EDA) to identify patterns, correlations, and anomalies.
  • Conduct statistical analysis to measure business performance and impact.
  • Provide insights and recommendations to support business strategy.
• Reporting & Data Visualization
  • Develop and maintain interactive dashboards and reports using Tableau, Power BI, or Google Data Studio.
  • Create clear and visually appealing presentations to communicate findings to stakeholders.
  • Generate periodic reports on KPIs, trends, and performance metrics.
• Database Management & Querying
  • Write and optimize SQL queries to extract, transform, and analyze data.
  • Maintain and update database structures to improve efficiency.
  • Support data warehousing and ETL (Extract, Transform, Load) processes.
• Collaboration & Communication
  • Work closely with marketing, finance, operations, and product teams to understand data needs.
  • Translate complex datasets into clear business recommendations.
  • Assist in training teams on data literacy and best practices for data usage.
• Predictive Analytics & Machine Learning (Optional)
  • Utilize predictive modeling techniques to forecast trends and behaviors.
  • Apply machine learning algorithms to enhance data-driven decision-making.

Technical Skills

• Proficiency in SQL, Python, or R for data analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI, Google Data Studio).
• Strong knowledge of Excel (Pivot Tables, VLOOKUP, Macros, etc.).
• Familiarity with ETL processes, cloud platforms (AWS, Google Cloud, Azure), and big data tools (Hadoop, Spark, etc.) is a plus.

Analytical & Business Skills

• Strong statistical analysis and problem-solving skills.
• Ability to translate complex data into actionable business insights.
• Experience in A/B testing, regression analysis, and data modeling.

Soft Skills

• Excellent communication and presentation skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong attention to detail and critical thinking.

Education & Experience

• Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
• 1-3 years of experience in data analysis or a similar role.
• Previous experience in [industry-specific experience, if required] is a plus.

• Competitive salary and benefits.
• Opportunity to work on impactful data-driven projects.
• Professional growth through training, certifications, and mentorship.
• Collaborative and innovative work culture.