Data Analyst

Hiring: W2 Candidates Only

Visa: Open to any visa type with valid work authorization in the USA

We are looking for a detail-oriented Data Analyst to collect, analyze, interpret, and visualize data to support strategic decision-making. The ideal candidate has strong analytical skills, hands-on experience with modern data tools, and the ability to translate raw data into meaningful insights for business teams.

Key Responsibilities

• Collect, clean, and prepare large datasets from multiple sources (databases, APIs, spreadsheets, cloud platforms).
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Develop and maintain dashboards and reports using Power BI, Tableau, Looker, or Excel.
• Create SQL queries to extract, transform, and analyze data across relational databases.
• Build data models, KPIs, and metrics that support business goals.
• Conduct statistical analysis using Python/R to solve business problems.
• Collaborate with cross-functional teams (Product, Finance, Marketing, Operations, Engineering) to understand data needs.
• Present insights and recommendations to stakeholders in an easy-to-understand format.
• Maintain data accuracy, quality, and integrity across systems.
• Work with engineering/data teams to automate data pipelines and improve data accessibility.
• Identify opportunities to improve business processes based on data-driven insights.

Required Skills & Qualifications

• Bachelor s degree in Computer Science, Data Analytics, Statistics, Mathematics, Engineering, Business, or related field.
• 2-6+ years of experience as a Data Analyst, BI Analyst, Reporting Analyst, or similar role.
• Strong proficiency in SQL (joins, CTEs, aggregations, window functions).
• Experience with BI tools: Power BI, Tableau, or Looker.
• Ability to clean and manipulate datasets using Excel or programming languages.
• Working knowledge of Python or R for data analysis (Pandas, NumPy, Matplotlib preferred).
• Experience working with data warehouses (Snowflake, Redshift, BigQuery, Azure Synapse) is a plus.
• Strong understanding of statistical analysis and data visualization principles.
• Excellent communication skills and ability to explain insights to non-technical stakeholders.
• Ability to handle multiple projects and prioritize tasks effectively.

Preferred Qualifications

• Experience with ETL tools or workflow automation (Informatica, Alteryx, Airflow, AWS Glue).
• Knowledge of A/B testing, forecasting, and predictive modeling.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform).
• Domain experience in Finance, Healthcare, Retail, or Technology.
• Experience working in Agile/Scrum environments.