Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in the world headquartered in Leverkusen and areas of business include pharmaceuticals; consumer healthcare products agricultural chemicals seeds and biotechnology products.
Job Title: Data Analyst/Steward ( Advanced)
Location: St Louis MO 63146
Duration: 6 Months
Job Type: -Temporary Assignment
Work Type: Hybrid
Job Description:
Key Responsibilities
- Data Analysis: Conduct in-depth data analysis to identify trends patterns and anomalies in data sets.
- Provide actionable insights to stakeholders.
- Data Profiling: Perform data profiling to assess data quality and integrity.
- Develop and implement strategies to improve data quality based on profiling results.
- SQL Proficiency: Utilize advanced SQL skills to write complex queries for data extraction manipulation profiling and analysis.
- Data Governance: Collaborate with data governance teams to establish and enforce data standards and policies.
- Ensure compliance with data governance frameworks.
- Documentation: Create and maintain comprehensive documentation for data processes data lineage and data quality metrics.
- Collaboration: Work closely with cross-functional teams data engineers and business stakeholders to understand data needs and deliver solutions.
- Training and Mentorship: Provide training and mentorship to junior data stewards on data management best practices and tools.
- Continuous Improvement: Identify opportunities for process improvements in data management and stewardship practices.
- Implement best practices for data quality and governance.
Qualifications
Education:
- Bachelors degree in Data Science Computer Science Information Systems Data Analytics or Engineering
Experience:
- Minimum of 5 years of experience in data stewardship data analysis or a related role.
Technical Skills:
- Advanced or intermediate SQL skills with experience in writing complex queries.
- Familiarity with data profiling tools and techniques.
- Experience with data visualization tools (e.g. Tableau Power BI) is a plus.
Analytical Skills:
- Strong analytical and problem-solving skills with a keen attention to detail.
- Communication Skills: Excellent verbal and written communication skills.
- Ability to present complex data findings to non-technical stakeholders.
- Ability to use Microsoft Excel or similar tool to show and summarize findings
- Team Player: Ability to work collaboratively in a fast-paced environment and manage multiple priorities.
Preferred Skills
- Familiarity with programming languages such as Python or R for data manipulation and analysis.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in ...
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in the world headquartered in Leverkusen and areas of business include pharmaceuticals; consumer healthcare products agricultural chemicals seeds and biotechnology products.
Job Title: Data Analyst/Steward ( Advanced)
Location: St Louis MO 63146
Duration: 6 Months
Job Type: -Temporary Assignment
Work Type: Hybrid
Job Description:
Key Responsibilities
- Data Analysis: Conduct in-depth data analysis to identify trends patterns and anomalies in data sets.
- Provide actionable insights to stakeholders.
- Data Profiling: Perform data profiling to assess data quality and integrity.
- Develop and implement strategies to improve data quality based on profiling results.
- SQL Proficiency: Utilize advanced SQL skills to write complex queries for data extraction manipulation profiling and analysis.
- Data Governance: Collaborate with data governance teams to establish and enforce data standards and policies.
- Ensure compliance with data governance frameworks.
- Documentation: Create and maintain comprehensive documentation for data processes data lineage and data quality metrics.
- Collaboration: Work closely with cross-functional teams data engineers and business stakeholders to understand data needs and deliver solutions.
- Training and Mentorship: Provide training and mentorship to junior data stewards on data management best practices and tools.
- Continuous Improvement: Identify opportunities for process improvements in data management and stewardship practices.
- Implement best practices for data quality and governance.
Qualifications
Education:
- Bachelors degree in Data Science Computer Science Information Systems Data Analytics or Engineering
Experience:
- Minimum of 5 years of experience in data stewardship data analysis or a related role.
Technical Skills:
- Advanced or intermediate SQL skills with experience in writing complex queries.
- Familiarity with data profiling tools and techniques.
- Experience with data visualization tools (e.g. Tableau Power BI) is a plus.
Analytical Skills:
- Strong analytical and problem-solving skills with a keen attention to detail.
- Communication Skills: Excellent verbal and written communication skills.
- Ability to present complex data findings to non-technical stakeholders.
- Ability to use Microsoft Excel or similar tool to show and summarize findings
- Team Player: Ability to work collaboratively in a fast-paced environment and manage multiple priorities.
Preferred Skills
- Familiarity with programming languages such as Python or R for data manipulation and analysis.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
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