Data Analyst

Skill: Data Collection, Data Analysis, Power BI

Job Summary:

We are seeking a highly skilled Senior Data Analyst with8-10 years of experience to join our dynamic team. The ideal candidate willutilize their expertise in data analysis, visualization, and businessintelligence to support data-driven decision-making across the organization.You will be responsible for transforming data into actionable insights thatdrive business strategies and improve operational efficiency.

Key Responsibilities:

Data Collection & Preparation:

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

- Ensure dataaccuracy, validation, and reliability through rigorous quality checks.

Data Analysis:

- Conductexploratory and in-depth data analysis to identify trends, patterns, andanomalies.

- Provide solutionsto specific business challenges by using statistical techniques and advanceddata analysis.

Dashboard & Report Development:

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

- Customize reportsbased on business needs and ensure that visualizations are user-friendly andinsightful.

Business Insights & Recommendations:

- Interpret datafindings to generate actionable insights and recommendations that align withbusiness objectives.

- Communicatefindings clearly to both technical and non-technical stakeholders.

Collaboration & Stakeholder Management:

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

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

Data Documentation & Quality Assurance:

- Document datasources, transformations, and reporting processes.

- Implement dataquality checks and address data integrity issues by collaborating with relevantteams.

Mentoring & Leadership:

- Mentor junioranalysts and provide guidance on analytical tools, techniques, and bestpractices.

- Leadcross-functional projects that require advanced analytical expertise.

Qualifications:

Education:

- Bachelor\u2019s orMaster\u2019s degree in Data Science, Statistics, Mathematics, Computer Science, ora related field.

Experience:

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

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

Technical Skills:

- Strong proficiencyin Power BI, including DAX and Power Query for creating interactivedashboards.

- Experience inbuilding reports in Business Objects (SAP \u2013 BO)

- Advanced knowledgeof SQL for querying and managing large datasets.

- Experience withPython for data manipulation and advanced analytics.

- Knowledge of ETLprocesses and tools for data integration and transformation.

- Experience inTableau reporting is an advantage.

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

Soft Skills:

- Excellentanalytical and problem-solving skills with attention to detail.

- Strongcommunication and presentation skills to convey complex data insights todiverse audiences.

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

Preferred Qualifications:

- Experience in the retail industry.

- Familiarity with machine learning techniques forpredictive analytics is a plus.

Impact & Contributions:

- Decision-Making: Enhance decision-making processes byproviding data-driven insights and guiding business strategies.

- Data-Driven Culture: Contribute to fostering a data-drivenculture by embedding insights into actions.

- Stakeholder Collaboration: Effectively managerelationships with stakeholders across varying levels of data maturity,ensuring comprehensive understanding and application of insights.

This role offers an opportunity to influence key businessdecisions through advanced data analysis, reporting and a collaborativeapproach. Join us in driving impactful changes and supporting the growth of ourdata-driven initiatives.

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