Job Title: Senior Data Analyst
Experience Required: 10+ Years
Location: Remote
Eligibility: U.S. Citizen Only
Position Overview:-
We are seeking a highly analytical and detail-oriented Senior Data Analyst with 10+ years of experience in data analysis, reporting, and business intelligence. The ideal candidate will have strong expertise in data visualization, statistical analysis, and transforming complex datasets into actionable business insights. This role requires excellent problem-solving skills and the ability to collaborate with cross-functional teams to support strategic decision-making.
Key Responsibilities:-
Analyze large datasets to identify trends, patterns, and business insights
Develop and maintain dashboards and reports using BI tools (Power BI, Tableau, etc.)
Write complex SQL queries to extract, manipulate, and validate data
Perform data cleaning, transformation, and validation
Conduct statistical analysis and predictive modeling as needed
Translate business requirements into technical reporting solutions
Support data-driven decision-making across departments
Ensure data accuracy, consistency, and governance standards
Automate recurring reports and improve reporting efficiency
Collaborate with stakeholders to define KPIs and performance metrics
Document data processes and maintain reporting standards
Required Qualifications:-
10+ years of experience in data analysis or business intelligence
Strong expertise in SQL and relational databases
Experience with BI tools such as Power BI, Tableau, or Looker
Proficiency in Excel (advanced formulas, pivot tables, macros)
Experience with Python or R for data analysis (preferred)
Strong knowledge of data modeling and ETL processes
Experience working with large and complex datasets
Understanding of statistics and data visualization best practices
Experience in Agile or fast-paced business environments
Strong communication and stakeholder management skills
Preferred Qualifications:-
Experience with cloud data platforms (AWS, Azure, or GCP)
Knowledge of data warehousing concepts (Snowflake, Redshift, etc.)
Experience with big data tools (Spark, Hadoop)
Industry experience in finance, healthcare, retail, or technology
Relevant certifications in Data Analytics or BI tools
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