Key Responsibilities:
- Consult with clients to understand their business goals and data challenges
- Design and implement data collection, cleansing, and transformation processes
- Analyze structured and unstructured data using tools like SQL, Python, or R
- Create dashboards, reports, and visualizations using tools like Power BI, Tableau, or
- Looker
- Provide strategic recommendations based on data analysis and business objectives
- Work with cross-functional teams (e.g., IT, Marketing, Finance) to align data strategies
- Ensure data quality, integrity, and compliance with relevant data governance standards
- Document findings, processes, and methodologies for stakeholders
Requirements:
- Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field
- 5-8 years of experience in data analytics, business intelligence, or data consulting
- Proficiency in SQL and at least one programming language (e.g., Python, R)
- Experience with data visualization tools (e.g., Tableau, Power BI, Qlik)
- Strong problem-solving skills and business acumen
- Excellent communication skills to present complex data insights to non-technical audiences
- Knowledge of cloud platforms (AWS, Azure, or GCP) is a plus
Preferred Qualifications:
- Experience with data warehousing (e.g., Snowflake, Redshift, BigQuery)
- Knowledge of machine learning concepts or tools
- Experience working in a client-facing consulting role
- Certifications in data analytics or cloud platforms (e.g., Google Data Engineer, Microsoft Azure Data Scientist)
