
Data Analyst Lead
2 days ago
Are you looking for a challenging role where you can utilize your technical skills to drive business growth? As a Senior Associate, Data Management, you will play a key part in implementing the data warehouse solution and ensuring seamless integration with internal systems.
Key Responsibilities- Design and develop database and reporting solutions that improve efficiency over the long term by understanding business processes and leveraging data design expertise.
- Responsible for developing and maintaining the Analytics data warehouse and MDM, leveraging data from across a variety of internal applications and data vendors.
- Contribute to the design and development of technical solutions to ensure that business requirements are satisfied.
- Develops and deploys processes to establish and track data accuracy, completeness, and consistency within the data warehouse & MDM system.
- Utilize experience with standard analytical, reporting and programming languages and their application (such as SQL, Alteryx, Informatica, Python, R, and Stored Procedure); data architecture, data integration/engineering, and business intelligence deployed in a complex environment; data and systems engineering concepts to effectively integrate and analyze data to develop actionable business information deliverables.
- Driving the adoption of data management and reporting tools for business users.
- Delivers data sets, views, and automated reporting to stakeholders on an as-needed basis.
- Documents ETL & MDM processes used for the data warehouse, data flow, and data quality to ensure visibility and transparency for stakeholders and boundary partners.
- Professional work experience in Master Data Management, Hands-on experience with Master Data Management (full lifecycle gathering requirements, choosing/implementing tool, building solutions) preferred.
- Knowledge of an Enterprise-level Master Data Management platform such as Reltio MDM, Informatica MDM, Veeva Network, etc.
- Awareness of MDM trends, MDM Concepts, and other technologies in the market
- Demonstrated experience in data profiling, data modeling, and data analysis to support the requirements.
- High proficiency with the SQL language and database management
- Good understanding of ETL, analytics, and visualization tools like Informatica, Alteryx, Power BI, Python, Excel, and Tableau.
- Opportunity to work with global customers in the life sciences industry.
- Challenging, transparent, and supportive work environment.
- Opportunity to grow rapidly in your career along with the company.
- Competitive compensation and benefits.
- Business casual dress policy.
Join a dynamic team of passionate, energetic, and dedicated professionals working in a fast-paced and friendly environment.
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