Role Overview: As a Senior Data Analyst, you will be responsible for analyzing complex datasets, creating insightful reports, and developing interactive dashboards using Power BI and Tableau. Your expertise will help guide strategic decisions and support business operations through effective data visualization and analysis.
Key Responsibilities: Data Analysis: Analyze complex datasets to identify trends, patterns, and insights that drive business decisions.Dashboard Development: Design and develop interactive dashboards and reports using Power BI and Tableau to provide actionable insights and data visualizations.Data Visualization: Create compelling visualizations that effectively communicate data findings and support business objectives.Reporting: Develop and deliver comprehensive reports to stakeholders, summarizing key metrics and insights.Data Integration: Integrate data from various sources, ensuring accuracy and consistency in reporting and analysis.Collaboration: Work closely with business units and stakeholders to understand data needs and provide solutions that address those needs.Data Quality: Monitor data quality and integrity, performing data validation and cleansing as needed.Mentorship: Provide guidance and support to junior analysts, sharing best practices and fostering a collaborative environment.Innovation: Stay current with industry trends and advancements in data analytics tools and techniques, recommending improvements and innovations.Required Skills and Qualifications: Technical Expertise: Extensive experience with Power BI for creating interactive dashboards and reports.Advanced proficiency in Tableau for data visualization and reporting.Strong understanding of data analysis techniques and best practices.Proficiency in SQL for querying and managing databases.Big Data and Analytics: Data interpretation, visualization, storytelling, engineering, and warehousing.
Data Tools: Tableau, Tableau Prep, Tableau Server, BigQuery, Google Cloud Platform, Google Data Studio, Google Looker Studio, Power BI, DBeaver, Databricks, Amazon Web Services, Hadoop Cloudera, Hive, Impala, Apache Spark (Scala), SQL, Git, Talend Big Data, Microsoft Office, and more.
Methodologies: Agile methodologies, Scrum Team, and more.
Testing and Documentation: System and user acceptance testing, technical design documentation.
Experience: Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.years of experience in data analysis, with a focus on Power BI and Tableau.Demonstrated experience in developing and delivering data-driven insights and reports.Soft Skills: Excellent analytical and problem-solving skills with a keen eye for detail.Strong communication skills to effectively present findings and insights to stakeholders.Ability to work independently and as part of a team in a fast-paced environment.Proven ability to manage multiple projects and deadlines effectively.
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