Why this role stands out
This hybrid Data Analyst role at Enterprise Business Solutions Inc. offers a fantastic opportunity to hone your analytical and visualization skills while directly impacting business decisions. If you excel at transforming complex data into actionable insights using SQL and BI tools, you'll thrive here and gain valuable experience within a reputable technology firm. Apply today to contribute your expertise and grow your career!
Quick overview
Job description
Job Summary
We are seeking a Data Analyst to collect, analyze, and interpret large datasets to support business decision-making. The ideal candidate will have strong analytical skills, experience with data visualization tools, and proficiency in SQL and reporting.
Required Skills
Technical Skills
- Strong experience with SQL for data extraction and analysis
- Experience with Excel (Pivot Tables, VLOOKUP, Power Query)
- Proficiency in Power BI, Tableau, or similar visualization tools
- Knowledge of data modeling and database concepts
- Experience with Python or R for data analysis (preferred)
- Understanding of ETL processes and data warehousing concepts
- Ability to create dashboards, reports, and KPIs
Responsibilities
- Gather, analyze, and validate data from multiple sources
- Develop reports and dashboards to support business stakeholders
- Identify trends, patterns, and actionable insights
- Perform data quality checks and data cleansing activities
- Collaborate with business teams to define reporting requirements
- Present findings and recommendations to stakeholders
- Support ad hoc reporting and analytical requests
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or related field
- 2–5+ years of Data Analyst experience
- Strong analytical and problem-solving skills
- Excellent communication and documentation abilities
- Experience working in Agile environments is a plus
Preferred Skills
- Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud
- Knowledge of machine learning concepts
- Experience with Snowflake, Databricks, or Big Data technologies
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