What are the responsibilities and job description for the Data Analyst - No Sponsorship available position at Neumeric Technologies Corp?
Job Title: Data Analyst
Location: Westfield Center, Ohio(Hybrid)
Duration: 6 Months Contract-to-Hire then FTE
Required Skills:
• Candidate must have 7 years of experience as a Data Analyst.
• BA/ BS Degree is required.
• Client is seeking a highly experienced, analytical, and highly resourceful Data professional with extensive experience in Data Analysis, Business analysis, Data Warehouse, ETL, Data Modeling, Data migration, Data integration and Data Profiling.
• Selected candidate will be spending 80% of their time performing Data Analysis and 20% of their time performing Design & Data Modeling.
• Candidate must have Insurance Industry Policy & Claims experience – specifically with Property & Casualty.
• Candidate must have 5-7 years of experience applying their in-depth Data knowledge and assisting or mentoring other less experienced Data Analyst team members with determining data options.
• Candidate must have 5-7 years of experience with Python, SQL scripting, SQL Server and ErWin or other modeling tools.
• Candidate experience with Snowflake is a nice to have.
• Candidate must have Agile development experience.
• Certifications: Data Analyst Certified or other industry certifications (Nice to have)
DUTIES:
• Performs data analysis, data profiling and data sourcing utilizing knowledge of data definitions, domain values, data relationships, business rules, data sources and the enterprise integrated data environment.
• Gathers and documents functional and non-functional data requirements.
• Creates, updates, and validates source to target mapping documents.
• Analyzes impacts of planned new application development or enhancements to existing applications on legacy and other relational data stores and the enterprise integrated data environment.
• Creates conceptual, logical, and physical data models in support of requested changes.
• Loads and manages reference data in partnership with business customers.
• Analyzes and identifies data quality concerns or cleansing opportunities to correct data quality anomalies and facilitate resolution between technical, business, and other stakeholders.
• Ensures deliverables are compliant with Westfield’s data standards.
• Serves as a peer mentor to less experienced data analysts.
