Junior Business Analyst (m/w/d) Gelsenkirchen Vollzeit evocenta GmbH Data Analyst (m/f/d) Frankfurt am Main Home Office Thinksurance GmbH Senior Data Analyst (BI & Data Science) Grünwald Home Office DEVnet Holding
Beam Inc.
Frankfurt am Main
Beam Suntory is Crafting the Spirits that Stir the World. Rooted in two centuries of family heritage, Beam Suntory has evolved into the world's third largest leading premium spirits company ... where each employee is treated like family and trusted with legacy. With our greatest assets - our premium spirits and our people - we're driving growth through impactful marketing, innovation and an entrepreneurial spirit. Beam Suntory is a place where you can come Unleash your Spirit by making an impact each and every day.
Data Quality Analyst
What makes this a great opportunity?
Commercial data quality manager is responsible for ensuring that the commercial data used by their organization, captured from customers/distributors/market research companies/syndicated data providers -> makes commercial sense , is accurate, consistent, and complete. She/he commonly works with a variety of different internal departments and external data suppliers/mappers to identify gaps in data quality or inconsistencies between systems/sources (SAP/TPM/Nielsen/GDAT/Customers systems).
Data quality manager will also be responsible for developing a roadmap to improve data quality across the entire organization, will promote solutions to capture commercial data from different parties. This might include creating new policies or procedures for collecting and storing data, training employees on how to properly enter data into databases, defining data requirements captured from trade partners/syndicated data providers.
Role Responsibilities
Develops a commercial data quality strategy/roadmap that aligns with an organization’s goals and objectives
Reviews data sets, deliveries etc. to ensure that they are accurate and complete
Conducts research to identify trends in data quality issues in order to develop solutions for potential problems
Creates data dictionaries that define data terminology used within an organization
Recommends changes in data storage methods to improve efficiency and accuracy
Creates reports that detail data quality issues and resolutions for senior management review
Monitors data quality to ensure that it remains consistent over time
Coordinates reviews of information technology systems to ensure that data is being stored correctly
Analyzes data quality issues to determine their cause and impact on the organization
Leads commercial data governance
Defines requirements for commercial data in terms of integrity, validity, security and usability
Promotes best practices in terms of data confidentiality, access restrictions, data accuracy and master data management
Drives efficiencies in cross-functional data-flow (between systems/processes/functions)
Identifies/develops sources of data for KPIs tracking
Ensures consistency and comparability of data in KPIs tracking
Communicates effectively with key business partners from sales, marketing, finance, IT, demand planning
Leads trainings & presentations regarding commercial data quality for internal & external customers
Qualifications & Experience
Experience: Minimum 3-5 years of sales, marketing, and/or financial analysis experience
Practical skills:
broad experience and a proven track record of managing data (and processes) with customer engagement technologies is essential, including one or more enterprise level CRM e.g. Oracle, Microsoft Dynamics, Salesforce
strong experience of Microsoft Office (Advanced level excel skills) and document management system customer engagement technologies, including one or more enterprise level CRM e.g. Oracle, Microsoft Dynamics, Salesforce is essential. Has experience with Power-BI (developed reports with links to different data sources).
Has worked in a commercial surrounding for min. 2 years to understand the commercial context, purpose, targets etc. data are used and applied
technically literate (SQL and Python or R) with an understanding of database and schema design
strong analytical experience utilizing Excel, Tableau and CPG, food, and beverage industry s
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