Revenue Growth Manager DACH

Data Scientist

Account Manager Den

Business Intelligence Manager

Data Engineer / Senior Data Engineer

Product Owner - Payroll and Time & Attendance

Responsibilities: <ul><li>Strategy &amp; Pricing – You support the Senior RGM Manager in developing 1 to 3 year pricing/PPA goals and in creating innovation budgets. You drive pack pricing initiatives through competitive analysis and market research and evaluate implemented initiatives.</li><li>Trade Investments - Setting trade investment budgets and a list price strategy for the DACH region as part of annual business planning.</li><li>Innovation &amp; Insights – Evaluate potential innovations commercially, including pricing recommendations and go-to-market strategies. Generate informed insights to make strategic recommendations at category, brand and customer levels.</li><li>Category Expertise - Become a category expert and advise other departments on commercial initiatives such as pack activation, limited editions and co-packed products.</li><li>Stakeholder Management &amp; Tools - Build strategic partnerships within the DACH region and with the European Central Business Unit. Participate in the implementation and use of RGM tools and functions.</li></ul> Requirements: <ul><li>A strong commercial understanding paired with RGM knowledge from functions such as account management or revenue growth management.</li><li>You have successfully completed your studies in economics or a comparable qualification.</li><li>Through a collaborative mindset, you promote cross-functional collaboration for effective goal achievement.</li><li>The ability to work and think strategically and to consider long- and short-term perspectives when formulating solutions.</li><li>Ideally, knowledge of the German food retail sector and trading structures.</li><li>Advanced MS Office knowledge, especially Microsoft Excel, and reporting tools such as Tableau/Power BI.</li><li>Ideally experience with Unify and/or Nielsen.</li><li>Very good knowledge of German and English, both written and spoken.</li></ul>

Responsibilities: <ul><li>Implement business process improvements - automating manual processes, optimizing data delivery, redesign/restructure data and process flows for more efficiency.</li><li>Develop expertise and aim to become a subject matter expert on the entire data, analytics and process automation ecosystem.</li><li>Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Path etc.)</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data management.</li><li>Create visually appealing, intuitive and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).</li><li>Utilize statistical techniques to solve business problems and provide insights.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.</li><li>Collaborate with DBAs, IT and Architecture teams as required</li><li>Be heavily involved in development and testing of newly integrated data sources and/or environments</li><li>Document data processes, methodologies, and analysis techniques for future reference and training purposes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering or a related field.</li><li>2+ years of experience as a Data Analyst, Digital Transformation Analyst or in a similar analytical/technical role preferably in a procurement or supply chain environment.</li><li>Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium etc.</li><li>Experience with creating and managing databases in AWS, SQL Server, Oracle etc. and working with APIs to integrate systems.</li><li>Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript etc.)</li><li>Proficiency in SQL for database querying and manipulation.</li><li>Experience with statistical analysis software (e.g., R, Python).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Excel at an advanced level (Power query, macros).</li><li>Demonstrable willingness to learn new tools and technologies.&nbsp;</li><li>Strong analytical and critical thinking abilities.</li><li>Ability to explain technical processes to non-technical audiences.</li><li>Attention to detail and a proactive approach to problem-solving.</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment.</li><li>Knowledge of machine learning algorithms and data modelling techniques.</li></ul>

Responsibilities : <ul><li>Develop and execute customer growth plans aligned with our client business strategy to ensure revenue growth, account penetration, and customer satisfaction. Include key details like buying cycles, customer goals, market information, and competitive analysis.</li><li>Coordinate with the BDM team and technical experts to influence key market players and expand our client presence in the renewable energy sector.</li><li>Communicate customer growth plans clearly with internal stakeholders, ensuring alignment across Sales, Engineering, and Product Management.</li><li>Build strong relationships with key stakeholders, positioning our client as a preferred supplier by understanding customer needs and promoting relevant products and solutions.</li><li>Actively manage project pipelines and ensure timely involvement in new opportunities. Keep reporting tools, like Salesforce, updated.</li><li>Address customer issues proactively, ensuring quality resolution and timely delivery of quotes and technical information.</li><li>Prepare budgets, monitor KPIs, and report on project performance while promoting our client value to the customer.</li><li>Provide after-sales support through regular follow-ups and site visits.</li><li>Oversee the engineering project pipeline and align with growth strategies.</li><li>Support marketing efforts, demonstrate our client products, and participate in industry events.</li><li>This version keeps the core responsibilities while trimming the details.</li></ul> Requirements : <ul><li>Bachelor’s degree in business administration, engineering, or related field, or equivalent practical experience.</li><li>Minimum 4 years of experience in sales or product management within an industrial or energy market.</li><li>Fluency in English is required</li><li>Experience in the renewable energy sector is mandatory.</li><li>Proven ability to develop and execute strategic growth plans and identify new business opportunities.</li><li>Strong negotiation and relationship-building skills, with a history of managing complex accounts and contracts.</li><li>Proficiency in using CRM tools like Salesforce, Excel, and Tableau.</li><li>Strong communication and presentation skills.</li><li>Willingness to travel regularly within the Nordic region, with a valid driver’s license.</li></ul>

Responsibilities: Leadership and Management The Business Intelligence Manager will oversee all activities that optimize the value, cost and risk of BI/analytics applications: <ul><li>Independently lead and deliver a few analytics projects at a time. Acts as the analytics translator and negotiator between the business and data teams.</li><li>Work with BU CIOs and collaborate with other IT leaders to develop overall IT strategy in the context of the business strategy.</li><li>Develop productive relationships with business leaders across the organization to influence how BI/analytics applications can enable new sources of value.</li><li>Define and enhance methodologies and practices for the application life cycle management in line with best practice and practical experience of continuous improvement.</li><li>Own all communication channels pertaining to assigned projects, including regular stakeholder review meetings</li><li>Assist in managing analytics group personnel and in developing their skills and capabilities to meet the needs of the organization.</li><li>Implement and manage application life cycle management status reporting, metrics, and benchmarks.</li></ul> Behaviors and Competencies The Business Intelligence Manager acts in a leadership role and must demonstrate the following leadership attributes: <ul><li>The ability to uphold the goals and culture of the organization.</li><li>The ability to lead, enable and motivate teams by providing advice and guidance in an inclusive fashion.</li><li>An understanding of strategic business objectives and the ability to drive results toward those objectives.</li><li>Openness to, and the ability to deal with, rapid change in business needs, processes, and technologies.</li></ul> Requirements: Skills The Business Intelligence Manager must be able to demonstrate the following: <ul><li>Strong communication skills with a proven ability to understand key concepts and communicate effectively with all levels of staff.</li><li>Proven ability to communicate technical concepts to nontechnical people to enhance understanding and drive decisions that lead to positive outcomes.</li><li>Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix-management environment.&nbsp;</li><li>Strong organizational skills, the ability to perform under pressure and management of multiple priorities with competing demands for resources.</li><li>Strong analytical, data-processing and problem-solving skills.</li><li>Proficiency in process formulation and improvement.</li><li>Ability to operate and perform in a fast-paced environment managing few projects at a time</li></ul> Knowledge The Business Intelligence Manager must have an in-depth knowledge and experience of the following: <ul><li>Experience with data science, RPA, data visualization tools like Tableau and Power BI, UiPath and Python&nbsp;</li><li>IT BI/analytics applications, operations, service, and support organizations.</li><li>Data processing, analysis, and quality management tools.</li><li>Development and implementation of processes and policies.</li><li>Lean IT, agile development, and DevOps principles and frameworks.</li></ul> Experience The following experience is considered essential: <ul><li>Leading a team of at least 20 members in application development, implementation, or management.</li><li>Total 10+ years experience.</li><li>3-5+ years of experience in Software design/development, application architecture, project management, software as a service (SaaS), data management/governance, business intelligence and business process analysis.</li><li>3-5+ years of demonstrated leadership experience building cross-organizational consensus with exposure to technology providers and/or business clients.</li><li>5+ years of demonstrated experience in liaising with middle and senior management.&nbsp;</li><li>The following experience is considered desirable but not mandatory:</li><li>3-5+ years of experience working in the Manufacturing / Hi-Tech industry.</li><li>3-5+ years of experience in managing external IT service providers.</li><li>3-5+ years of experience managing the risk and cost implications of IT contracts or contract negotiations.</li><li>Membership of professional organizations, trade or user groups and a pattern of regular attendance at industry conferences to enhance knowledge of current technology.</li></ul> Education and Training <ul><li>An undergraduate or postgraduate degree in computer science, engineering, business management or a related field</li></ul>

Responsibilities: <ul><li>In this role, you will dive deep into the realm of IoT data, striving not only to predict equipment failures but also to gain a comprehensive understanding of the maintenance processes currently implemented across the 60+ countries where operates.&nbsp;</li><li>Your expertise will be instrumental in delivering actionable insights and innovative ideas aimed at extracting even greater value from our data for the benefit of our customers.</li><li>All decisions and recommendations should be backed by data.&nbsp;</li><li>While doing this, you get to solve challenging problems, experiment with generative AI and predictive analytics, and work with cutting-edge tools offered to us .&nbsp;</li><li> Responsible for delivering thousands of valuable insights each day to enhance the customer experience, underscoring the significance of your role in handling production workloads in the AWS cloud environment.</li><li>Design, build, and maintain scalable data pipelines to collect, process, and store data from various sources</li><li>Create and manage data models to ensure data integrity and accessibility for analytics and reporting.Optimize and maintain databases (SQL, NoSQL) to ensure high performance and availability.</li><li>Implement data validation and monitoring processes to ensure data accuracy and reliability.</li></ul> Requirements: <ul><li>Degree in Software side - IT, CSC, BTech, MTech, MCA, Specialization in Data Science, Data engineering. Avoid candidates with Educational background in mechanical, civil and electrical engineering.&nbsp;</li><li>4+ years of data engineering experience.</li><li>Should be able to explain relevant experience in products or services worked for. Need candidates from service or product industry - data management / data analysis.&nbsp;</li><li>Proficiency with AWS, GitLab CI/CD, Databricks, Python, SQL, PySpark, and DBT</li><li>Experience with AWS Components</li><li>Experience in developing and maintaining data pipelines on AWS and Databricks</li><li>Coding proficiency with Python and SQL</li><li>Should have experience in generating reports from Dashboards like power BI, Tableau Qlik sense</li><li>Experience with software testing practices and DevOps practices</li><li>Understanding of cybersecurity guidelines, data privacy and compliancy regulations</li><li>Experience in working with IoT telemetry data, enterprise data landscapes and data structures</li><li>Experience in data engineering methods and practice</li><li>Experience in data engineering process improvements</li><li>Experience with industry best practices and technical design principles</li><li>In-depth process and data knowledge for the business domain</li><li>Additional responsibilities such as leading task forces and defect triages.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead and manage the relationship with business leaders for Payroll-related applications and Time &amp; Attendance systems, ensuring alignment with organizational goals and priorities</li><li>Collaborate closely with HR and Payroll teams to gather business requirements and translate them into detailed technical specifications for Payroll and Time &amp; Attendance modules.</li><li>Prioritize and oversee the customization and configuration of Time &amp; Attendance modules, including designing and implementing time and leave policies, accruals, carryovers, and other business rules, ensuring they meet organizational needs.</li><li>Drive the delivery of system testing, integration testing, and user acceptance testing for Time &amp; Attendance modules, ensuring accurate functionality and successful deployment.</li><li>Provide hands-on technical support, troubleshooting and resolving issues related to Time &amp; Attendance modules, and ensuring timely solutions for end-users.</li><li>Lead cross-functional collaboration to ensure seamless integration between Payroll, Time &amp; Attendance, and HR systems, driving efficiency and data consistency across platforms.</li><li>Stay hands-on and up-to-date with the latest trends and best practices in SAP EC Payroll, SAP WorkForce Software, and related technologies, ensuring that the team leverages cutting-edge solutions.</li><li>Experience building reports using Tableau, SAP WorkForce Software or related reporting tools</li></ul> Requirements: <ul><li>Bachelor’s degree (or equivalent); advanced degree preferred.&nbsp;</li><li>7+ years of experience configuring and implementing Payroll and Time &amp; Attendance modules</li><li>Has experience playing a lead role in implementation and support projects</li><li>Strong Techno functional knowledge of the payroll processing and Time &amp; Attendance modules</li><li>Proficiency in payroll processes, payroll clusters, off-cycle payments, 3rd party remittance, benefits, and process models.&nbsp;</li><li>Experience in time recording, management &amp; evaluation desired (Workforce Software, Kronos, or equivalent.)&nbsp;</li><li>Ability to communicate recommendations and solutions to non-technical clients and end users.&nbsp;</li><li>Experience building and executing test scripts for HR information system upgrades and enhancements.&nbsp;</li><li>Advanced proficiency in MS Office, especially Excel.</li></ul>

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Revenue Growth Manager DACH

Data Scientist

Account Manager Den

Business Intelligence Manager

Data Engineer / Senior Data Engineer

Product Owner - Payroll and Time & Attendance

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Revenue Growth Manager DACH

Data Scientist

Account Manager Den

Business Intelligence Manager

Data Engineer / Senior Data Engineer

Product Owner - Payroll and Time & Attendance

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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