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Job description
We are looking for an ERP Technical Data Analyst whose primary job responsibility is to perform various technical analysis on Master Data, Transactional, and Analytical data. The company is in the process of implementing and migrating to an ERP system with numerous business and technical integrations supporting the back office and the field. The ideal candidate is someone who can parse through existing business processes and recognize all the data elements that are being used by those processes; the candidate is someone who can create scripts for data analysis and data conversion, and who can create / maintain a data dictionary / data glossary, data definitions, etc.
Please note this position is NOT related to enterprise analytics, business intelligence, “big data,” or data science. The successful candidate is someone who has data analysis experience in ERP related master data conversion projects.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Master Data Analyst?
A: To succeed as a Master Data Analyst, key technical skills include proficiency in data management tools such as data warehousing, ETL (Extract, Transform, Load) processes, and data visualization software like Tableau or Power BI. Additionally, strong analytical skills, including statistical knowledge and data modeling, are essential for identifying trends and insights from complex data sets. Soft skills like effective communication, problem-solving, and collaboration are also crucial for working with stakeholders to understand business needs and implement data-driven solutions.\n\nSummary: By combining technical expertise with strong soft skills, Master Data Analysts can effectively analyze and interpret complex data, drive business decisions, and support career growth through increased visibility and opportunities for leadership roles.
Q: What is the career path for a Master Data Analyst?
A: A Master Data Analyst's typical career progression involves starting as a Data Analyst or Business Analyst, then advancing to a Senior Data Analyst or Data Governance Specialist, and eventually becoming a Data Architect or Information Management Director. Key opportunities for skill development include learning data modeling, data quality, and data governance, as well as developing expertise in data visualization tools, programming languages like Python or SQL, and business intelligence platforms. Long-term career prospects may lead to roles such as Chief Data Officer, Business Intelligence Manager, or even a transition into data science or IT leadership positions.