Job Title: Data Analyst
We are seeking a skilled Data Analyst to join our team. As a Data Analyst, you will be responsible for analyzing and interpreting complex data sets to help drive business decisions.
Key Responsibilities:
* Rebuild Data Quality scorecards in Databricks, leveraging your expertise in data visualization and reporting tools.
* Develop profiling logic (nulls, distincts, pattern checks) to ensure data accuracy and quality.
* Build PySpark-based Data Quality rules and row/column-level metrics to monitor and improve data performance.
* Create curated DQ datasets for Power BI scorecards, providing actionable insights to stakeholders.
* Establish reusable DQ rule templates and standardized development patterns to streamline data analysis and reduce costs.
* Work with SAP ECC data models to integrate data from multiple sources and provide a unified view of the business.
* Support and mentor a junior developer on rule logic and development standards, sharing your knowledge and expertise to drive team success.
About You:
* Proven experience in data analysis and interpretation, with a strong understanding of statistical concepts and methodologies.
* Expertise in data visualization tools such as Power BI, Tableau, or D3.js.
* Familiarity with big data technologies such as Hadoop, Spark, and NoSQL databases.
* Strong programming skills in languages such as Python, Java, or Scala.
* Able to communicate complex technical concepts to both technical and non-technical stakeholders.
* Possess excellent problem-solving skills, with the ability to think critically and outside the box.
Benefits:
* A competitive salary and benefits package, including medical, dental, and vision insurance.
* A 401(k) retirement plan, with company match.
* A generous paid time off policy, including vacation days and holidays.
* The opportunity to work with a talented team of professionals who share your passion for data analysis and innovation.
How to Apply:
If you are a motivated and detail-oriented individual with a passion for data analysis, please submit your resume and cover letter to apply for this exciting opportunity.