Data Quality Analyst in Frankfurt am Main bei Beam Inc

Beam Inc.

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).