Data Analyst

Job Summary:

We are seeking a highly skilled Senior Data Analyst with 8-10 years of experience to join our dynamic team. The ideal candidate will utilize their expertise in data analysis, visualization, and business intelligence to support data-driven decision-making across the organization. You will be responsible for transforming data into actionable insights that drive business strategies and improve operational efficiency.

Key Responsibilities:

Data Collection & Preparation:

- Collect, clean, integrate, and manage data from multiple sources to build a comprehensive data landscape.

- Ensure data accuracy, validation, and reliability through rigorous quality checks.

Data Analysis:

- Conduct exploratory and in-depth data analysis to identify trends, patterns, and anomalies.

- Provide solutions to specific business challenges by using statistical techniques and advanced data analysis.

Dashboard & Report Development:

- Design, develop, and maintain interactive dashboards and reports using Power BI, making data accessible and actionable.

- Customize reports based on business needs and ensure that visualizations are user-friendly and insightful.

Business Insights & Recommendations:

- Interpret data findings to generate actionable insights and recommendations that align with business objectives.

- Communicate findings clearly to both technical and non-technical stakeholders.

Collaboration & Stakeholder Management:

- Collaborate with cross-functional teams, to meet data needs and drive business growth.

- Serve as a data expert, guiding teams on best practices for data analysis and reporting.

Data Documentation & Quality Assurance:

- Document data sources, transformations, and reporting processes.

- Implement data quality checks and address data integrity issues by collaborating with relevant teams.

Mentoring & Leadership:

- Mentor junior analysts and provide guidance on analytical tools, techniques, and best practices.

- Lead cross-functional projects that require advanced analytical expertise.

Requirements

Qualifications:

Education:

- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

Experience:

8-10 years of experience in data analysis, business intelligence, or a related field.

-Proven experience with data visualization tools (Power BI, Tableau) and data querying languages (SQL, Python).

Technical Skills:

- Strong proficiency in Power BI, including DAX and Power Query for creating interactive dashboards.

- Experience in building reports in Business Objects (SAP – BO)

- Advanced knowledge of SQL for querying and managing large datasets.

- Experience with Python for data manipulation and advanced analytics.

- Knowledge of ETL processes and tools for data integration and transformation.

- Experience in Tableau reporting is an advantage.

- Familiarity with cloud platforms like Azure, and experience with data warehouses and data lakes.

Soft Skills:

- Excellent analytical and problem-solving skills with attention to detail.

- Strong communication and presentation skills to convey complex data insights to diverse audiences.

- Ability to work independently, manage multiple projects, and collaborate across teams.

Preferred Qualifications:

• 
  Experience in the retail industry.
• 
  Familiarity with machine learning techniques for predictive analytics is a plus.

Impact & Contributions:

• 
  Decision-Making: Enhance decision-making processes by providing data-driven insights and guiding business strategies.
• 
  Data-Driven Culture: Contribute to fostering a data-driven culture by embedding insights into actions.
• 
  Stakeholder Collaboration: Effectively manage relationships with stakeholders across varying levels of data maturity, ensuring comprehensive understanding and application of insights.

Benefits

This role offers an opportunity to influence key business decisions through advanced data analysis, reporting and a collaborative approach. Join us in driving impactful changes and supporting the growth of our data-driven initiatives.